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405 WETLANDS, Vol. 25, No. 2, June 2005, pp. 405–419 2005, The Society of Wetland Scientists ASSESSING CUMULATIVE LOSS OF WETLAND FUNCTIONS IN THE NANTICOKE RIVER WATERSHED USING ENHANCED NATIONAL WETLANDS INVENTORY DATA Ralph W. Tiner U.S. Fish and Wildlife Service Northeast Region 300 Westgate Center Drive Hadley, Massachusetts, USA 01035 E-mail: ralph tiner@fws.gov Abstract: The coterminous U.S. has lost more than 50% of its wetlands since colonial times. Today, wet-lands are highly valued for many functions including temporary storage of surface water, streamflow main-tenance, nutrient transformation, sediment retention, shoreline stabilization, and provision of fish and wildlife habitat. Government agencies and other organizations are actively developing plans to help protect, conserve, and restore wetlands in watersheds. The U.S. Fish and Wildlife Service’s National Wetlands Inventory Program (NWI) has produced wetland maps, digital geospatial data, and wetland trends data to aid these and other conservation efforts. Most recently, the NWI has developed procedures to expand the amount of information contained within its digital databases to characterize wetlands better. It has also developed techniques to use these data to predict wetland functions at the watershed level. Working with the states of Delaware and Maryland, the NWI applied these techniques to the Nanticoke River watershed to aid those states in developing a watershed-wide wetland conservation strategy. Wetland databases for pre-settlement and contemporary conditions were prepared. An assessment of wetland functions was conducted for both time periods and comparisons made. Before European settlement, the Nanticoke watershed had an estimated 93,000 ha of wetlands covering 45% of the watershed. By 1998, the wetland area had been reduced to 62% of its original extent. Sea-level rise and wetland conversion to farmland were the principal causes of wetland loss. From the functional standpoint, the watershed lost over 60% of its original capacity for streamflow maintenance and over 35% for four other functions (surface-water detention, nutrient transformation, sedi-ment and particulate retention, and provision of other wildlife habitat). This study demonstrated the value of enhanced NWI data and its use for providing watershed-level information on wetland functions and for assessing the cumulative impacts to wetlands. It provides natural resource managers and planners with a tool that can be applied consistently to watersheds and large geographic areas to show the extent of wetland change and its projected effect on wetland functions. Key Words: cumulative wetland impacts, historic wetlands, Nanticoke River watershed, National Wetlands Inventory, wetland classification, wetland functional assessment, wetland trends INTRODUCTION Many investigators have reported significant losses of wetlands in the United States (e.g., Frayer et al. 1983, Tiner and Finn 1986, Dahl and Johnson 1991, Hefner et al. 1994, Tiner et al. 1994, Dahl 2000). These reports address wetland trends in terms of area lost or area gained but do not address the significance of the loss in functional terms. In the past decade, there has been considerable interest in wetland functional assessment at both the site-specific and landscape or watershed levels. The latter assessments require the use of geospatial data and geographic information technology (GIS). Several states in the Northeast with interest in landscape-level analysis have cooperated with the U.S. Fish and Wildlife Service (FWS) in pro-ducing watershed-level assessments of wetland func-tions. Among the areas evaluated were watersheds as-sociated with Maine’s Casco Bay, New York City’s water supply system, the Nanticoke River of Maryland and Delaware, and Maryland’s Coastal Bays plus Pennsylvania’s Coastal Zone (Tiner et al. 1999, 2000, 2001, 2002, 2004, Tiner and DeAlessio 2002, Tiner and Stewart 2004). To accomplish this work, the FWS’s Northeast Region developed a technique to prepare preliminary assessments of wetland functions for watersheds and large geographic areas (Tiner 2002). The technique requires enhancing digital Na-tional Wetlands Inventory (NWI) data by adding de-scriptors for landscape position, landform, water flow path, and waterbody type (LLWW) to the NWI digital database and then applying correlations between wet- 406 WETLANDS, Volume 25, No. 2, 2005 Figure 1. Locus map showing the Nanticoke River water-shed on the Delmarva Peninsula. land characteristics and functions to identify wetlands of potential significance for various functions. When applied to different-era datasets for wetlands in the same watershed, this assessment approach provides a perspective on the magnitude of the losses from a functional standpoint. The states of Maryland and Delaware are working cooperatively to develop a watershed-based strategy for wetland conservation and restoration for the Nan-ticoke River watershed. They contacted the FWS for assistance in conducting watershed-level assessments of wetlands, first for the present era and then for the pre-settlement period. The purpose of the investigation was to produce an inventory and analysis of historic wetlands and their functions for the Nanticoke River watershed and to compare these findings to present-day conditions. The specific objectives were 1) to pro-duce a map showing the general extent of wetlands prior to European colonization, 2) to prepare a prelim-inary functional assessment of pre-settlement wet-lands, 3) to create a consistent database of contem-porary wetlands for the entire watershed from existing enhanced NWI data, 4) to prepare a preliminary wet-land functional assessment for the present-day water-shed, and 5) to compare the changes in wetland extent and functions based on the pre-settlement and contem-porary wetland assessments. This paper generally de-scribes the assessment method and demonstrates its use for predicting the cumulative effect of historic wet-land losses on wetland functions for the Nanticoke River watershed. Study Area The study area is the Nanticoke River watershed, a tributary of the Chesapeake Bay, beginning in western Delaware on the Delmarva Peninsula and flowing in a southwesterly direction into Chesapeake Bay (Figure 1). This watershed is roughly 2,070-km2 in size and includes about 25% of the state of Delaware. Major tributaries include five in Delaware (Broad Creek, Deep Creek, Gravelly Branch, Gum Branch, and Mar-shyhope Creek) and four in Maryland (Marshyhope Creek, Rewastico Creek, Quantico Creek, and Wetip-quin Creek). METHODS Pre-settlement Wetland Inventory Reconstructing the distribution of historic wetlands requires using varied sources of information and mak-ing certain assumptions. Regardless of the procedures employed, the outcome is an approximation and not an exact replication of pre-settlement conditions. For this study, the distribution and extent of pre-settlement wetlands were derived from two sources: 1) soil sur-vey data from the U.S.D.A. Natural Resource Conser-vation Service (NRCS) and the Delaware Department of Natural Resources and Environmental Control (DNREC) based on 1:15,840 to 1:20,000 soil maps and 2) U.S. Geological Survey orthophotomaps (1: 24,000). The former source was the primary source, and most historic wetlands were identified from this material, since urban development was minor com-pared to agricultural impacts. The orthophotomaps were used to locate ‘‘lost’’ estuarine wetlands that are now shallow water. Hydric soil map units from soil survey data were identified as historic wetlands. A digital database of hydric soil map units was created for the Nanticoke watershed from existing digital soil survey data and from soil map unit data in published soil surveys. Two counties had digital soils data available: Dorchester (SSURGO data from NRCS based on Brewer et al. 1998) and Sussex (from DNREC). For other counties (Caroline, Wicomico, and Kent), hydric soil digital data were created by scanning individual soil survey maps from county soil survey reports (Matthews 1964, Hall 1970, Matthews and Ireland 1971, respectively). Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS���NANTICOKE RIVER WATERSHED 407 Scanning was done at 300 dots per inch (dpi) and saved as TIFF images. The black color band (all line-work) was selected in each image and copied to form a composite image (mosaic) for the county. Mosaics were georeferenced in ArcGIS 8.0 using the georefer-encing extension, with a 1:24,000 digital raster graph-ics (DRG) serving as the base. These mosaics were then converted to georeferenced GRIDS and then to linear coverages, which were converted to polygonal coverages and finally to shapes. The shapes were ed-ited and hydric soil map units labeled using the geo-referencing image to code ID in the background in ArcGIS 8.3. The soil-based historic wetland data were compared with existing NWI data to identify possible large wet-land complexes (typically forested wetlands) that were not recorded as historic wetlands based on soils map-ping (e.g., likely hydric inclusions in larger nonhydric soil units). Due to alignment issues caused by merging data sources, a 5-ha threshold was established for iden-tifying significant omissions. These larger NWI wet-lands were added to the historic data base. The pre-sumption was that if the area is a large forested wet-land today, it was likely a forested wetland at the time of European settlement. Estuarine wetlands have migrated landward and up-river due to sea-level rise over the past 500 years, while others have become permanently inundated. Consequently, the pre-settlement estuarine-riverine break had to be relocated further downriver than its current location, and ‘‘lost’’ estuarine wetlands had to be added to the database. For the former, the presence of soils recognized as submerged uplands and the ap-pearance of salt-stressed forests were used to establish this break at the mouth of the Baron Creek. Under-standably, this is a conservative demarcation, as it is likely that freshwater forested wetlands also occurred downstream along the edges of estuarine wetlands. The Honga and Sunken series (submerged ‘‘uplands,’’ now brackish tidal wetlands) both represent former lowland forests (likely palustrine forested wetlands or wet flatwoods similar to those occurring today on Othello and Elkton soils) that became estuarine wet-lands with rising sea level over the past few hundred years. The former is an organic soil (Terric Sulfihe-mists) with more than 40 cm of organic matter, where-as the latter is a mucky silt loam soil (Typic Ochra-quults) with a surface layer of only 5–20 cm of organic matter (Brewer et al. 1998). The Sunken series is typ-ified by salt-stressed (dying or dead) stands of loblolly pine (Pinus taeda L.) and some areas have become salt/brackish marshes. While both series represent for-mer forest, for purposes of this study, only the Sunken series was identified as pre-settlement freshwater for-ested wetlands. Given the thickness of its organic ho-rizon, the Honga series most likely became estuarine wetland more than 300 years ago (e.g., wood found in the organic and mineral horizons was carbon-dated at less than 700 years before present; Brewer et al. 1998). Pone soils were designated as temporarily flooded-tid-al forested wetlands where contiguous with tidal marsh soils; in other places, they were designated as nontidal temporarily flooded forested wetlands. Muck soils and contiguous soils that are now estuarine wetlands were also identified as historic tidal forested wetlands. Else-where, muck soil map units were regarded as non-tidal forested wetlands. The Nanticoke series and the tidal marsh map units from the soil surveys were considered pre-settlement freshwater tidal marshes. The pre-co-lonial limits of estuarine and freshwater tidal reaches represent approximate boundaries, mainly used to in-dicate a significant ecological and hydrologic change in this watershed over time. It is further recognized that the upstream limit of tidal influence was probably downstream from its current location, but approximat-ing this limit was not possible. To identify ‘‘lost’’ estuarine wetlands due to sea-level rise over the past few hundred years, U.S. Geo-logical Survey 1:24,000 orthophotomaps (Deal Island 1972, Mardela Springs 1982, Nanticoke 1983, and Wetipquin 1983) were consulted. The 2-m depth shown on these maps represents a convenient approx-imation of the lower limit of the intertidal zone 600 years ago; recorded depths within this boundary are mostly listed as 1 m below mean low water. Given a spring tide range of 0.8 to 0.9 m for the Nanticoke River (http://co-ops.nos.noaa.gov/tide pred.html) and a near constant rate of sea-level rise of 1.4 mm/yr in Chesapeake Bay over the past 6,000 years (Curtis Lar-sen, U.S. Geological Survey, pers. comm.; Larsen 1998), these shallow water areas were predicted to be estuarine wetlands (probably some combination of tid-al marshes and flats) around 1400 AD. Impounded sections of rivers (i.e., artificial in-stream ponds and lakes) shown on the soil surveys were classified as forested wetlands similar to contig-uous wetlands above and below the impoundment. Some minor area of open water was probably included in the wetland area estimate following this interpreta-tion. After pre-settlement wetlands were identified, they were classified according to NWI types (Cowardin et al. 1979). All inland wetlands were classified as pal-ustrine forested wetlands, recognizing that periodic wildfires would have created a succession of types from emergent wetlands through shrub swamps to for-ested wetlands, much like we observe today after tim-ber harvest. According to the 1920s soil surveys, most of the soils were forested in their original state (e.g., Wicomico County was ‘‘practically’’ all forest until 408 WETLANDS, Volume 25, No. 2, 2005 ‘‘reclaimed for agricultural purposes;’’ Snyder and Gillett 1925). Water regimes were based on hydrology data for soil map units published in the soil survey reports. The condition of the historic landscape is therefore much simplified. No attempt was made to separate for-ested wetlands into different types at the subclass level according to Cowardin et al. (1979) or to account for the effect of increased sedimentation on estuarine wet-lands following conversion of forests to agricultural land, since these patterns were impossible to predict. 1998 Wetland Inventory The distribution, extent, and classification of pre-sent- day wetlands were based on NWI mapping. NWI data for the Nanticoke watershed were recently updat-ed using spring 1998–1:40,000 black and white pho-tography (see Tiner et al. 2001, 2000 for details). Wet-lands were classified according to the FWS’s official wetland classification system (Cowardin et al. 1979). Enhanced Wetland Classification The NWI database was expanded to include descrip-tors for landscape position, landform, water flow path, and waterbody types (LLWW descriptors). They were applied to all wetlands and deepwater habitats in the NWI digital database by merging NWI data with on-line U.S. Geological Survey topographic maps (digital raster graphics), consulting aerial photography where necessary, and interpreting dichotomous keys to the descriptors (Tiner 2003a; Table 1). Enhanced classi-fication was applied to both the pre-settlement and 1998 wetlands. Preliminary Assessment of Wetland Functions This study employed a landscape-level wetland as-sessment approach called ‘‘Watershed-based Prelimi-nary Assessment of Wetland Functions’’ (W-PAWF). W-PAWF applies general knowledge about wetlands and their functions to produce a watershed profile highlighting wetlands of potential significance for nu-merous functions. The method was developed to pre-dict wetland functions for large geographic areas, par-ticularly watersheds, from NWI data. To do this, two steps must be undertaken: 1) the digital NWI database must be expanded by adding LLWW descriptors, and 2) correlations between wetland characteristics in the database and wetland functions must be developed. Many wetland functions are related to physical prop-erties, while others are dependent on a combination of biological and physical characteristics. For example, floodplain and depressional wetlands temporarily store surface water, whereas slope wetlands do not; wet-lands that are sources of streams are vital for stream-flow maintenance; marshes provide habitat for water-fowl and waterbirds. In W-PAWF, ten wetland functions are evaluated: 1) surface-water detention, 2) streamflow maintenance, 3) nutrient transformation, 4) sediment and other par-ticulate retention, 5) coastal storm-surge detention (for tidal regions only), 6) shoreline stabilization, 7) pro-vision of fish and shellfish habitat, 8) provision of wa-terfowl and waterbird habitat, 9) provision of other wildlife habitat, and 10) conservation of biodiversity (e.g., rare or uncommon wetland types in the water-shed based on NWI mapping or photointerpretable wetland types of regional significance for biodiversi-ty). The rationale for correlating wetland characteris-tics with these functions for the Northeast is described in Tiner (2003b). Correlations are based on a review of the literature and application of best professional judgment from many wetland biologists and resource specialists in the Northeast. After the digital databases for pre-settlement and contemporary wetlands were constructed (including LLWW descriptors), analyses were performed to pro-duce a preliminary assessment of wetland functions for the watershed for each era. Correlations between wet-land functions and characteristics were applied to the enhanced NWI database to identify wetlands that may be performing each function at significant levels. The conservation of biodiversity function was not evalu-ated for the pre-settlement era since source data were limited. After running the analyses, a series of maps were generated by ArcView 3.x to highlight wetlands that may perform these functions at high or other signifi-cant levels. Area summaries for each function were generated from Microsoft’s Access program. The tar-geted wetlands were predicted to perform a given function at a significant level presumably important to the watershed’s ability to provide that function. ‘‘Sig-nificance’’ is a relative term and is used in this analysis to identify wetlands that are likely to perform a given function at a level above that of wetlands not desig-nated. Function Comparison: Pre-settlement vs. 1998 To assess the impact of cumulative loss of wetlands on specific functions, one can simply examine the change in area of functionally significant wetlands. This was done, but the area difference alone may not adequately convey the cumulative impact on wetland functions. To address the latter, a simple weighting scale for wetlands of potential significance for each function was devised. A ‘‘high’’ potential was given Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 409 Table 1. Simplified keys for classifying wetlands by landscape position, landform, and water flow path. (Adapted from Tiner 2003a) Landscape Position 1. Wetland borders a river, stream, in-stream pond, lake, reservoir, estuary, or ocean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 1. Wetland does not border one of these waterbodies; it is completely surrounded by upland or borders a pond surrounded by upland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Terrene 2. Wetland lies along an ocean shore and is subject to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marine 2. Wetland does not lie along an ocean shore . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 3. Wetland lies along an estuary (salt to brackish tidal waters) and is subject to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . .Estuarine 3. Wetland does not lie along an estuary or if so, it is not subject to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 4. Wetland lies along a lake or reservoir or within its basin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lentic 4. Wetland lies along a river, stream, or in-stream pond, or borders an estuarine wetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 5. Wetland is the source of a river or stream and this watercourse does not extend through the wetland . . . . . . . . . . . . . . . . . . Terrene 5. River or stream flows through the wetland, or wetland borders an estuarine wetland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 6. Wetland is periodically flooded by river or stream. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lotic1 6. Wetland is not periodically flooded by the river or stream or by tides (episodic flooding may occur). . . . . . . . . . . . . . . . . . . Terrene Landform 1. Wetland occurs on a slope 2%. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Slope 1. Wetland does not occur on a slope 2% . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 2. Wetland forms an island completely surrounded by water . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Island 2. Wetland does not form an island . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 3. Wetland occurs in the shallow water zone of a permanent non-tidal waterbody, the intertidal zone of an estuary with unrestricted tidal flow, or the regularly flooded (daily tidal inundation) zone of freshwater tidal wetlands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fringe 3. Wetland does not occur in these waters or intertidal zones with unrestricted tidal flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 4. Wetland occurs in a portion of an estuary with restricted tidal flow due to tide gates, undersized culverts, dikes, or similar obstructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Basin 4. Wetland does not occur in such location . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 5. Wetland forms a non-vegetated bank or is within the banks of a river or stream. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fringe 5. Wetland is not a non-vegetated riverbank or streambank or within the banks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 6. Wetland occurs on an active alluvial plain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Floodplain* 6. Wetland does not occur on an active floodplain. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7 7. Wetland occurs on a broad interstream divide (including headwater positions) associated with coastal or glaciolacustrine plains or similar plains. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Interfluve* 7. Wetland does not occur on such a landform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8 8. Wetland occurs in a distinct depression. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Basin 8. Wetland occurs on a nearly level landform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Flat Water Flow Path2 1. Wetland is typically surrounded by upland (non-hydric soil); receives precipitation and runoff from adjacent areas with no apparent outflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Isolated** 1. Wetland is not geographically isolated . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 2. Wetland is a sink receiving water from a river, stream, or other surface-water source, and lacking surface-water outflow . . . . . Inflow 2. Wetland is not a sink; surface water flows through or out of the wetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 3. Wetland is subjected to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bidirectional-Tidal 3. Wetland is not tidally influenced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 4. Water flows out of the wetland, but does not flow into this wetland from another source . . . . . . . . . . . . . . . . . . . . . . . . . . .Outflow 4. Water flows in and out of the wetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 5. Water flows through the wetland, often coming from upstream or uphill sources (typically wetlands along rivers and streams) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Throughflow 5. Wetland is along a lake or reservoir and its water levels are subjected to the rise and fall of this waterbody . . Bidirectional-Nontidal 1 Lotic wetlands are separated into river and stream sections (based on watercourse width at map scale of 1:24,000 – polygon Lotic River vs. linear Lotic Stream) and then divided into one of five gradients: 1) high (e.g., shallow mountain streams on steep slopes), 2) middle (e.g., streams with moderate slopes), 3) low (e.g., mainstem rivers with considerable floodplain development), 4) intermittent (subject to periodic flows), and 5) tidal (hydrology under influence of the tides). 2 Surface-water connections are emphasized because they are more readily identified than groundwater linkages. * Basin and Flat sub-landforms can be identified within these landforms when desirable. ** Wetland is geographically isolated; hydrological relationship to other wetlands and watercourses may be more complex than can be determined by simple visual assessment of surface-water conditions. 410 WETLANDS, Volume 25, No. 2, 2005 a weight of 2, while a ‘‘moderate’’ potential and other potentially significant wetlands (i.e., shading for fish habitat and wood duck habitat) were assigned a weight of 1. By multiplying the wetland area listed as high, moderate, or other potential by the weighting factor, a total number of functional units was calculated for each function at pre-settlement and 1998. This allowed comparison between pre-settlement functional capacity (total functional units for time one) and the 1998 ca-pacity (total functional units for time two) and could demonstrate a percent loss of pre-settlement function. This provides an interesting perspective on the current conditions from a functional capacity standpoint and may give a better sense of the relative magnitude of the functional loss than change in wetland area alone. RESULTS The wetland database created for this project al-lowed production of wetland maps and statistics on wetland extent and predicted functions for two time periods (pre-settlement and 1998). Two sets of water-shed- scale maps (1:110,000) were produced to profile the Nanticoke’s wetlands—one set showing estimated pre-settlement conditions and predicted wetlands of significance for nine functions (excluding conservation of biodiversity) and the other set showing 1998 con-ditions and predicted wetlands of significance for ten functions. These maps are multi-colored and too de-tailed to present in this paper; they display wetlands by NWI types, landscape position, landform, water flow path, and potential significance for each of ten functions. An example of a reduced version is pre-sented as Figure 2; examples of similar maps for the Maryland portion of the watershed can be viewed on the web at: http://wetlands.fws.gov/Pubs Reports/ Md Watershed/Md watershed.htm. Wetland Extent Comparison Trends by Generalized NWI Types. There have been significant changes in wetland and aquatic resources since pre-settlement times (Figure 3). Prior to Euro-pean settlement, an estimated 93,125 ha of wetlands may have existed in the Nanticoke watershed (Table 2). Ninety percent of the predicted wetland area was represented by palustrine (freshwater) wetlands, most-ly nontidal (79,537.5 ha). Most (88.5%) of the wet-lands were forested, with the rest being classified as emergent (10.3% as estuarine and 1.2% as palustrine). The actual extent of palustrine emergent wetlands was undoubtedly greater than estimated due to fire impacts, but there were no data to predict this effect. The es-timates also do not include any predicted area of pal-ustrine scrub-shrub wetlands for similar reasons. By 1998, the Nanticoke’s wetland area had fallen to 57,492 ha (about 62% of the pre-settlement total). Eighty-eight percent was palustrine wetland, with for-ested and scrub-shrub wetlands accounting for over 46,000 ha. This figure includes many wetlands in post-harvest succession. Estuarine wetlands accounted for nearly 12% of the watershed’s wetland area. Irregu-larly flooded emergent wetlands predominated, occu-pying over 6,000 ha (about 93% of the Nanticoke’s estuarine wetlands; Table 3). Although Table 2 shows a tremendous increase in palustrine non-tidal emergent wetland area, the huge difference is an artifact, related more to the detailed wetland mapping in 1998 vs. gen-eralized pre-settlement data. Much emergent wetland area in 1998 resulted from timber harvest operations converting forested wetland to emergent wetland and with some increase in emergent wetland also due to pond construction. Table 3 gives a more detailed ac-counting of present-day wetlands by NWI types. Trends by LLWW Types. At pre-settlement, an esti-mated 2,809 wetlands occupied over 93,000 ha of the watershed (Table 4). Seventy-eight percent of the wet-land area was represented by terrene wetlands, while lotic wetlands comprised 12% of the area; estuarine wetlands made up 10%. About 77% of the wetlands were interfluve types. Fringe wetlands constituted 11% and floodplain wetlands about 10% of the wetland area. From the water flow perspective, 73% of the wet-land area experienced outflow, 15% bidirectional-tidal flow, 7% throughflow, and 5% was isolated (complete-ly surrounded by nonwetland). By 1998, the Nanticoke’s wetland area had been reduced by 39%, while the number of wetlands (ex-cluding ponds) increased 1.75 times to 4,920 due largely to fragmentation by roads and agricultural fields. The ratio of wetland types comprising the Nan-ticoke’s wetlands changed slightly with the significant decrease in wetland area. Terrene wetlands now rep-resent about 72% of the wetland area (excluding ponds), while estuarine wetlands comprise 16% and lotic wetlands 12%. Lentic wetlands created from dammed rivers or streams or by excavating and diking terrene wetlands occupy only 0.2% of the area. From the landform standpoint, interfluve wetlands account for 71% of the wetland area, followed by fringe wet-lands (17%) and floodplain wetlands (11%). Other wetland landforms now represent less than 2% of the area (flats 1.1%; basins 0.5%, and islands 0.2%). Outflow wetlands remain the predominant water-flow-path type, totaling 38,539 ha (68% of the wetland area). Bidirectional-tidal wetlands are second-ranked with 10,434 ha (18% of the wetland area), followed by throughflow wetlands with 5,917 ha (10%). Isolated wetlands amount to 2,029 ha (4%) and bidirectional- Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 411 Figure 2. Example of published thematic map (reduced in size and black & white copy of color map) highlighting pre-settlement wetlands of potential significance for streamflow maintenance. Black areas represent wetlands with high potential for contributing significantly to stream flow. (Tiner and Bergquist 2003) 412 WETLANDS, Volume 25, No. 2, 2005 Figure 3. Nanticoke River watershed’s wetlands and deepwater habitats at pre-settlement and in 1998. Black areas are deepwater habitats; gray areas are wetlands (including ponds). nontidal wetlands associated with impoundments total only 105 ha (0.2%). Since pre-settlement, terrene wetlands experienced the greatest loss, decreasing by nearly 44%, with ter-rene interfluve wetlands being most adversely affected. Habitat fragmentation was significant, with the mean size of interfluve wetlands dropping to a third of their original size (i.e., from 33.8 ha at pre-settlement to 10.6 ha in 1998). By 1998, the mean size of the most abundant wetlands—terrene outflow wetlands—had decreased from 175 ha to 18 ha, while their number increased nearly 6-fold (from 380 to 2120). Only 63% of the pre-settlement lotic wetland area remained in 1998; lotic river wetlands experienced the greatest loss ( 70%) from about 4,100 ha to roughly 1,200 ha. The area of estuarine wetlands dropped by an estimated 4%, and lentic wetlands became established in river impoundments and diked former terrene wetlands. Ponds were created from both wetlands and uplands. The proportion of wetland area represented by differ-ent landforms changed slightly, with a drop in inter-fluve wetlands (77 to 71%) and an increase in fringe and floodplain types (11 to 17% and 10 to11%, re-spectively). The percent of outflow wetland area fell from 73 to 68%, whereas the percent represented by throughflow and bidirectional-tidal flow rose from 7 to 10% and 15 to 18%, respectively. Causes of Wetland Trends Both natural processes and human activities were responsible for the predicted wetland losses. The chief natural process was sea-level rise, which affected both estuarine and palustrine wetlands. Most of the estua-rine wetlands lost became shallow estuarine water due to increased erosion and submergence. This hydrologic change also moved the salt wedge further upstream and inland converting many areas of freshwater wet- Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 413 Table 2. Historic trends in the Nanticoke’s wetland area (in hectares) by generalized NWI types: pre-settlement vs. 1998. (Note: 1998 data are more detailed than presented here – see Table 3; 1998 types have been aggregated for comparison with pre-settlement types; totals may be slightly different than sum of numbers duo to round-off procedures.) Wetland Type Pre-settlement Area (% of Wetlands) 1998 Area (% of Wetlands) Net Area Change (% of Pre-settlement) Estuarine Intertidal 9,569.6 (10.3) 6,849.4 (11.9) 2,720.2 ( 28.4%) Palustrine Emergent Tidal Nontidal 1,091.7 (1.2) 25.7 ( 0.1) 273.2* (0.5) 2,169.3 (3.7) 818.5 ( 75.0%) 2,143.6 ( 8341%)** Total 1,117.4 (1.2) 2,442.5 (4.2) 1,325.1 ( 118.6%) Palustrine Forested Tidal Nontidal 2,926.4 (3.1) 79,511.8 (85.4) 3,307.9*** (5.8) 42,975.5*** (74.8) 381.5 ( 13.0%) 36,536.3 ( 46.0%) Total 82,438.2 (88.5) 46,283.4 (80.5) 36,154.8 ( 43.9%) Other Palustrine Farmed Ponds -0- -0- 1,428.3 (2.5) 488.0 (0.8) 1,428.3 (NA%) 488.0 (NA%) Total -0- 1,916.3 (3.3) 1,916.3 (NA%) Grand Total 93,125.2 57,491.6 35,633.6 ( 38.3%) * Includes 153.3 ha of riverine tidal wetlands, mostly marshes. ** This increase is an artifact, since the pre-settlement extent of non-tidal emergents could not be accurately established. *** Includes scrub-shrub wetlands and mixed communities where forested or scrub-shrub wetland was the dominant class. lands (lotic river wetlands) to estuarine wetlands in the lower portion of the watershed. This process continues today, as witnessed by stumps and dead trees in es-tuarine marshes and dying or salt-stressed trees in neighboring landward areas. Rising sea level undoubt-edly had the effect of extending tidal influence up-stream, thereby changing the hydrology of former non-tidal wetlands to a freshwater tidal regime. With Eu-ropean settlement and subsequent population growth, drainage and conversion of much palustrine forested wetland to farmland took place for more than 200 years. In 1998, over 1,400 ha were classified as farmed wetlands, while the bulk of the drained wetlands were converted to non-wetland agricultural fields. Farming is the predominant land use in the watershed today. Many of the remaining palustrine wetlands are frag-mented by roads and cropland. Human activities also resulted in the creation of about 500 ha of ponds built in both wetlands and uplands. Trends by Wetland Function Two comparisons of changes in functions were made, one showing changes in wetland area providing functions at significant levels (Table 5) and the other depicting changes in functional units (Table 6). From an area standpoint, substantial losses of wetlands pro-viding all functions ranged from an over 50% area loss in wetlands important for sediment retention to a 23% loss of wetlands stabilizing shorelines and those stor-ing coastal storm surge. More than 30% of the wetland area rated as significant for performing half of the wet-land functions evaluated was lost. Wetlands that served as sources of streams (headwater wetlands) were most negatively impacted; 87% of the pre-settle-ment wetland area predicted as having high potential for this function was altered. Ditching of terrene in-terfluve wetlands either effectively drained many of these headwater wetlands, converting them to cropland (upland), or diminished the duration of their seasonal wetness (reducing their contribution to streamflow). When functional units were evaluated, the change in the watershed’s ‘‘functional capacity’’ may be bet-ter realized (Table 6). For most of the wetland func-tions evaluated, the Nanticoke watershed is predicted to be operating at 50 to 77% of its original capacity. The streamflow maintenance function supported by wetlands is operating at only 36% of its original ca-pacity; this has undoubtedly had significant adverse impacts on aquatic biota. The watershed’s capacity for providing six other functions decreased by more than 28% (i.e., surface-water detention, nutrient transfor-mation, sediment and other particulate retention, fish and shellfish habitat, waterfowl and waterbird habitat, and other wildlife habitat). The two remaining func- 414 WETLANDS, Volume 25, No. 2, 2005 Table 3. Wetlands in the Nanticoke watershed in 1998 classified by NWI wetland type to the class level (Cowardin et al. 1979). NWI Wetland Type Area (ha) Estuarine Wetlands Emergent (Regularly Flooded) Emergent (Irregularly Flooded) Scrub-Shrub (Irregularly Flooded) Forested (Irregularly Flooded) Unconsolidated Shore (Irregularly Exposed) Unconsolidated Shore (Regularly Flooded) 259.2 (96.9 oligohaline) 6,203.8 (2,469.7 oligohaline) 56.4 (34.5 oligohaline) 97.6 15.7 216.7 (111.1 oligohaline) Total 6,849.4 (2,712.2 oligohaline) Palustrine Wetlands (nontidal, except where noted) Aquatic Bed Emergent Emergent (Tidal) Mixed Emergent/Scrub-Shrub (Deciduous) 0.3 590.2 (3.4 Emergent/Forested) 119.9 1,260.6 Mixed Emergent/Scrub-Shrub (Evergreen) Farmed Needle-leaved Deciduous Forested 318.1 1,428.3 32.3 Evergreen Forested Evergreen Forested (Tidal) Scrub-Shrub/Emergent Broad-leaved Deciduous Forested Broad-leaved Deciduous Forested (Tidal) 3,350.0 (27.2 Atlantic White Cedar) 43.7 1,032.6 15,587.9 (76.0 w/Bald Cypress) 2,902.8 (10.5 w/Bald Cypress) Mixed Forested Mixed Forested (Tidal) Deciduous Forested/Emergent Forested/Scrub-Shrub and Forested/Scrub-Shrub Deciduous Scrub-Shrub 12,228.6 231.8 166.1 (9.5 tidal) 5,665.0 (43.5 tidal) 856.5 Evergreen Scrub-Shrub Mixed Scrub-Shrub Scrub-Shrub (Tidal) Unconsolidated Bottom/Vegetated Unconsolidated Bottom Unconsolidated Shore 2,475.9 1,633.5 76.7 16.4 (14.1 w/Bald Cypress) 468.4 3.2 Total 50,488.8 Riverine Wetlands Emergent (Tidal) Unconsolidated Shore (Tidal) 134.4 18.9 Total 153.3 GRAND TOTAL 57,491.5 tions (shoreline stabilization and coastal storm-surge detention) lost nearly one-quarter of their pre-settle-ment capacity. No function experienced an increase in capacity. DISCUSSION Extensive wetlands have always been recognized on the Delmarva Peninsula. Interpretation of the 1920s soil survey data predicted that the percent of the coun-ty represented by wetlands ranged from 32% for Car-oline County to a high of 75% for Dorchester County (Table 7). The latter county had extensive tidal wet-lands bordering Chesapeake Bay and much flatwood soil area (e.g., Elkton series). The extent of potential wetlands in the five-county area was roughly 50%. For the Nanticoke River watershed, pre-settlement wet-lands were estimated to occupy 44% of the watershed. This figure is consistent with the five-county wetland total for the 1920s, especially considering that the Nanticoke watershed did not have as high a percent of tidal wetlands as the five-county area (13% vs. 21% of the wetlands). Today, only 28% of the watershed is wetland. Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 415 Table 4. Historic trends in the Nanticoke’s wetland area (in hectares) by landscape position, landform, and water flow path: pre-settlement (YR 1400) vs. 1998. Codes for water flow path: BT bidirectional-tidal; TH throughflow; BI bidirectional-nontidal; IS isolated; OU outflow. Number of wetlands is approximate due to GIS processing. Landscape Landform Water Flow Path 1400 # 1400 Area (ha) 1998 # 1998 Area (ha) % Change in Area Estuarine Fringe* Island BT BT 83 1 9,228.2 341.3 143 2 9,062.6 100.6 1.8 70.5 Total 84 9,569.5 145 9,163.2 4.2 Lentic Basin Flat Fringe Island BI BI BI BI — — — — — — — — 26 8 14 4 44.4 8.7 50.0 2.0 Total 0 0 52 105.1 Lotic River Floodplain BT TH 102 10 2,907.3 66.5 151 6 957.2 11.3 67.1 83.0 Fringe Island BT TH BT 105 2 — 1,091.7 25.7 — 104 — 1 248.7 — 0.1 77.2 — Total 219 4,091.2 262 1,217.3 70.2 Lotic Stream Basin Flat Floodplain Fringe TH TH TH BT TH BT 12 13 130 2 — — 29.6 68.2 6,670.6 19.1 — — 52 95 385 25 29 13 142.4 315.6 5,018.6 56.2 99.5 8.5 381.1 362.8 24.8 194.2 Total 157 6,787.5 599 5,640.8 16.9 Terrene Basin Flat IS OU IS OU TH — 79 — 162 — — 330.2 — 1,047.9 — 7 14 10 47 1 6.0 101.7 33.5 292.1 0.4 69.2 72.1 Fringe Interfluve OU IS OU — 1723 380 — 4,616.2 66,655.3 1 1551 2120 0.4 1,989.2 38,144.3 56.9 42.8 TH 5 27.2 111 329.2 1110.3 Total 2,349 72,676.8 3,862 40,896.8 43.7 Grand Total 2,809 93,125.0 4,920 57,023.2** 38.8 * Includes tidal freshwater wetlands contiguous with estuarine wetlands and along estuarine waters. ** Excludes ponds. General Limitations of the Study Historic wetland data compiled from contemporary soil surveys have obvious limitations. Translating this information to historic wetland extent for the Nanti-coke required making certain assumptions: 1) hydric soil mapping units represent a reasonable approxima-tion of historic wetlands, 2) areas of the Sunken series were freshwater forested wetlands at pre-settlement, 3) areas of typical freshwater wetland soils that are now mapped as estuarine wetlands were also freshwater forested wetlands at pre-settlement, 4) areas of Honga series were estuarine wetlands at this time, although they were forested wetlands at least 700 years ago (Brewer et al. 1998), and 5) areas within non-hydric soil map units that were mapped as forested wetlands in 1998 by NWI represent hydric inclusions that were forested wetlands at pre-settlement. The 1998 database should adequately reflect current conditions due to strengthened federal and state regu-lations in the 1980s and 1990s. One must, however, recognize the limitations of any wetland mapping ef-fort derived mainly through photointerpretation tech-niques (Tiner 1997, 1999). Photo quality, scale, and environmental conditions at the time of acquisition are 416 WETLANDS, Volume 25, No. 2, 2005 Table 5. Comparison of preliminary functional assessment results for Nanticoke wetlands at pre-settlement versus 1998. Area (in hectares) and percentage of the wetland area total are given for each function. Total wetland area for 1998 (57,543.2 ha) includes 520 ha of ponds. Function Potential Significance Pre-settlement Area (% of total area) 1998 Area (% of total) % Change in Area Surface-water Detention High Moderate Total 20,380.5 (21.9) 70,814.5 (76.0) 91,195.0 (97.9) 15,870.7 (27.6) 39,847.7 (69.2) 55,718.4 (96.8) 22.1 43.7 38.9 Streamflow Maintenance High Moderate Total 72,971.2 (78.4) 546.4 (0.6) 73,517.6 (79.0) 9,586.2 (16.7) 33,332.4 (57.9) 42,918.6 (74.6) 86.9 600.0 41.6 Nutrient Transformation High Moderate Total 39,009.7 (41.9) 54,115.5 (58.1) 93,125.2 (100.0) 14,476.2 (25.2) 40,864.3 (71.0) 55,340.5 (96.2) 62.9 24.5 40.6 Retention of Sediments and Other Particulates High Moderate Total 20,380.1 (21.9) 20,365.2 (21.9) 40,745.3 (43.8) 15,627.2 (27.2) 1,920.1 (3.3) 17,547.3 (30.5) 23.3 90.6 56.9 Shoreline Stabilization High Moderate Total 20,448.2 (22.0) -0- 20,448.2 (22.0) 15,798.1 (27.5) 0.4 ( ) 15,798.5 (27.5) 22.7 negligible 22.7 Coastal Storm-surge Detention High 13,587.7 (14.6) 10,415.1 (18.1) 23.3 Fish/Shellfish Habitat High Moderate Shading* Total 10,670.0 (11.5) -0- 6,787.6 (7.3) 17,457.6 (18.8) 7,133.4 (12.4) 572.3 (1.0) 5,349.1 (9.3) 13,054.8 (22.7) 33.1 significant 21.2 25.2 Waterfowl/Waterbird Habitat High Moderate Wood Duck Total 10,686.9 (11.5) -0- 8,025.7 (8.6) 18,712.6 (20.1) 7,337.0 (12.8) 486.4 (0.8) 5,453.0 (9.5) 13,276.4 (23.1) 31.3 significant 32.1 29.1 Other Wildlife Habitat High Moderate Total 90,559.4 (97.2) 2,565.8 (2.8) 93,125.2 (100.0) 52,648.5 (91.5) 2,699.1 (4.7) 55,347.6 (96.2) 41.9 5.2 40.6 Table 6. Predicted change in the Nanticoke watershed’s capacity to perform nine wetland functions from pre-settlement to 1998. Func-tional units were derived from predictive values for each time period by applying a weighting scheme (2 for high; 1 for moderate; and 1 for other significant features, e.g., stream shading). The conservation of biodiversity function was not compared since original data lacked sufficient detail for such comparison. Function Pre-settlement Functional Units 1998 Functional Units Predicted % of Original Capacity Left Predicted % Change in Functional Capacity Surface-water detention 111,575.5 71,589.1 64.2 35.8 Streamflow Maintenance 146,488.8 52,504.8 35.8 64.2 Nutrient Transformation 132,134.9 69,816.7 52.8 47.2 Sediment and Other Particulate Retention 61,125.4 33,174.5 54.3 45.7 Shoreline Stabilization 40,896.4 31,596.6 77.3 22.7 Coastal Storm-surge Detention 27,175.4 20,830.2 76.7 23.3 Fish and Shellfish Habitat 28,127.6 20,188.2 71.8 28.2 Waterfowl and Waterbird Habitat 29,399.5 20,613.4 70.1 29.9 Other Wildlife Habitat 183,684.6 107,996.1 58.8 41.2 Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 417 Table 7. Area (in heactares) of wetland soil mapping units in each county falling within the Nanticoke River watershed based on 1920s soil surveys (Dunn et al. 1920, Snyder et al. 1924, Snyder and Gillett 1925, Snyder et al. 1926, and Winant and Bacon 1929). Statistics are for entire county; percent of county represented by each mapping unit is given in parentheses. Wetland Mapping Unit County Caroline Area (%) Dorchester Area (%) Wicomico Area (%) Kent Area (%) Sussex Area (%) Elkton Plummer Portsmouth St. Johns 13,215 (16.6) 933 (1.1) 6,193 (7.5) -0- 73,743 (49.4) -0- 544 (0.4) -0- 26,896 (27.4) -0- 10,105 (10.3) 2,539 (2.6) 32,233 (21.0) -0- 15,728 (10.2) -0- 41,172 (16.8) -0- 28,295 (11.7) 389 (0.1) Coastal Beach Meadow Swamp Tidal Marsh -0- 4,172 (3.0) -0- 1,788 (2.2) -0- 2,047 (1.4) -0- 35,679 (23.9) -0- 1,788 (1.8) 2,747 (2.8) 6,141 (6.3) 285 (0.2) 3,346 (2.2) 4,327 (2.8) 18,449 (12.0) 1,710 (0.7) 1,373 (0.6) 10,701 (4.4) 14,225 (5.8) Total 26,321 (31.8) 112,013 (75.1) 50,216 (51.2) 74,468 (48.4) 97,865 (40.1) major limiting factors. Moreover, drier-end wetlands, such as seasonally saturated and temporarily flooded palustrine wetlands, are often difficult to separate from non-wetlands on-the-ground, thereby complicating their detection through photointerpretation. It is important to re-emphasize that this type of func-tional assessment is a preliminary one based on wet-land characteristics interpreted through remote sensing and using the best professional judgment of numerous wetland specialists. Wetlands believed to be providing potentially high or other significant levels of perfor-mance for a particular function were highlighted. No attempt was made to produce a more qualitative rank-ing for each function or for each wetland based on multiple functions, as this would require more input from others and more data, well beyond the scope of this study. Field checking of seasonally flooded and seasonally flooded/saturated emergent wetlands should be done to determine if they are marshes or wet mead-ows. If the former, they will likely have high potential as both fish and shellfish habitat and waterfowl habitat rather than the moderate rating given in this analysis. The functional assessment used (W-PAWF) does not consider the condition of the adjacent upland (e.g., level of disturbance) or the actual water quality of the associated waterbody, which may be regarded as im-portant metrics for assessing the health of individual wetlands (not part of this study). Collection and anal-ysis of some of these data were done in related studies (Tiner et al. 2000, 2001, Tiner 2004) and were not part of the present study. Appropriate Use of this Type of Analysis Keeping in mind the limitations mentioned above, this analysis is a first-cut or initial screening of the watershed’s wetlands and an assessment of the poten-tial impact of cumulative losses on wetland functions. It highlights wetlands that may have a significant po-tential to perform each of ten functions. While the analysis provides perspective on the ability of the wa-tershed’s wetlands to perform these functions, it does not evaluate differences among wetlands of similar type and function. The latter information is often im-portant for making decisions about wetland acquisition and designating certain wetlands as more worthy of preservation versus others with the same categoriza-tion. Such information can be collected through field investigations and/or by consulting agencies having specific expertise in a subject area. The analysis for the Nanticoke watershed is a wa-tershed- based wetland characterization and a historical assessment of changes in wetland extent and function. It can serve as an initial screening for prioritization of wetlands for acquisition, restoration, or strengthened protection, as an educational tool for improving the public’s understanding of wetland functions and trends, and as a baseline assessment of how wetlands and functions have changed since pre-settlement. For more than two decades, NWI maps have been used by local governments in compiling natural resource in-ventories. Now, by enhancing NWI data and using it for wetland functional assessment, local planners have a valuable tool for preparing ecologically based mu-nicipal master plans (Honachefsky 1999). CONCLUSIONS Wetlands in the Nanticoke River watershed have undergone significant changes since pre-settlement. Prior to European colonization, about 45% of the wa-tershed (roughly 93,000 ha) was wetland, with exten-sive headwater wetlands supporting streamflow. By 1998, about 57,000 ha of wetlands (62% of the orig-inal area) remained and much of this area has been ditched, excavated, or impounded. Conversion of wet- 418 WETLANDS, Volume 25, No. 2, 2005 lands to agricultural lands was the predominant cause of freshwater wetland change; sea-level rise was the main agent of estuarine wetland change. Cumulative wetland losses have led to significant reductions of many wetland functions. Since colonial times, it was estimated that the Nanticoke watershed lost over 60% of its predicted capacity for streamflow maintenance and over one-third of its capacity for four other functions: surface-water detention, nutrient trans-formation, sediment and other particulate retention, and provision of other wildlife habitat. No function experienced an increase in capacity. The findings of this study provide an overview of the predicted changes in wetland extent and function for the Nanticoke River watershed since European set-tlement. The comparison of changes in wetland func-tion watershed-wide should be considered approximate due to the nature of this type of analysis. As with any remotely-sensed analysis, field checking should be conducted to validate the interpretations regarding functions of individual wetlands, since this type of as-sessment is a coarse-filter approach. Despite these lim-itations, the assessment serves as a foundation for un-derstanding the extent to which wetlands have changed in general form and function, and as such, it provides a valuable tool for resource planning. It should be used with other tools to help devise a watershed-wide strat-egy for wetland conservation and restoration. This pilot study demonstrated that it is possible to produce historic assessments of wetlands and functions through analysis of existing information and enhance-ment of NWI data. Depending on the nature of wetland development and the information available, many as-sumptions have to be made. Nonetheless, this ap-proach provides a consistent method for evaluating wetland status and trends from a functional perspective while helping increase our understanding of how much historic wetland losses have impacted a watershed’s ability to perform numerous functions. The NWI Program in the Northeast plans to add LLWW descriptors to the NWI digital database as maps are updated. This will increase the value of the NWI database and facilitate its use for preparing pre-liminary watershed assessments of wetland functions throughout the region. This type of assessment will also be incorporated into localized wetland trends studies to demonstrate how wetland losses are im-pacting specific functions. There is also interest in this applying these procedures to other regions. Such work will require review of the wetland function-character-istic correlations; minor modifications will undoubt-edly be needed to address regional differences in fish and wildlife habitat. ACKNOWLEDGMENTS This study was funded by the Kent Conservation District and the Maryland Eastern Shore Resource Conservation and Development Council. Herbert Bergquist (FWS) constructed the digital database for historic wetlands, performed GIS analyses to produce data for this report, and prepared Figure 1. Bobbi Jo McClain assisted in digital database construction dur-ing the early phase of this work. Correlations between wetland characteristics and wetland functions used to produce the preliminary assessment of wetland func-tions were prepared jointly by the FWS, wetland spe-cialists from Maryland and Delaware, and other sci-entists. Amy Jacobs (DNREC) and the Nanticoke wet-land group she assembled reviewed the draft protocols for correlating wetland characteristics with wetland functions and provided recommendations to modify the selection criteria. Participants included David Bleil, Katheleen Freeman, Cathy Wazniak, Mitch Keil-er, and Bill Jenkins (Maryland Department of Natural Resource); Julie LaBranche (Maryland Department of the Environment); Marcia Snyder, Dennis Whigham, and Don Weller (Smithsonian Environmental Research Center); Matt Perry and Jon Willow (U.S. Geological Survey); Mark Biddle (DNREC); and Peter Bowman (Delaware Natural Heritage Program). Abby Rokosch (DNREC) provided copies of the texts of 1920s soil survey reports for Kent and Sussex Counties and Cur-tis Larsen (U.S. Geological Survey) contributed infor-mation on sea-level rise for Chesapeake Bay. LITERATURE CITED Brewer, J. E., G. P. Demas, and D. Holbrook. 1998. Soil survey of Dorchester County, Maryland. U.S.D.A. Natural Resources Con-servation Service, Washington, DC, USA. Cowardin, L. M., V. Carter, F. C. Golet, and E. T. LaRoe. 1979. Classification of wetlands and deepwater habitats of the United States. U.S. Fish and Wildlife Service, Washington, DC, USA. FWS/OBS-79/31. Dahl, T. E. 2000. Status and trends of wetlands in the conterminous United States 1986 to 1997. U.S. Fish and Wildlife Service, Wash-ington, DC, USA. Dahl, T. E. and C. E. Johnson. 1991. Status and trends in the con-terminous United States, mid-1970’s to mid-1980’s. U.S. Fish and Wildlife Service, Washington, DC, USA. Dunn, J. E., J. M. Snyder, and E. Hoffecker. 1920. Soil survey of Kent County, Delaware. U.S. Department of Agriculture. Govern-ment Printing Office, Washington, DC, USA. Frayer, W. E., T. J. Monahan, D. C. Bowden, and F. A. Graybill. 1983. Status and trends of wetlands and deepwater habitats in the conterminous United States, 1950’s to 1970’s. Colorado State University, Fort Collins, CO, USA. Hall, R. L. 1970. Soil survey Wicomico County, Maryland. U.S.D.A. Soil Conservation Service, Washington, DC, USA. Hefner, J. M., B. O. Wilen, T. E. Dahl, and W. E. Frayer. 1994. Southeast wetlands: status and trends, mid-1970’s to mid-1980’s. U.S. Fish and Wildlife Service, Region 4, Atlanta, GA, USA. Honachefsky, W. B. 1999. Ecologically Based Municipal Land Use Planning. Lewis Publishers, CRC Press, Boca Raton, FL, USA. Larsen, C. E. 1998. The Chesapeake Bay: geological product of Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 419 rising sea level. U.S. Geological Survey, Reston, VA. Fact sheet 102–98. Matthews, E. D. 1964. Soil survey Caroline County, Maryland. U.S.D.A. Soil Conservation Service, Washington, DC, USA. Matthews, E. D. and W. Ireland, Jr. 1971. Soil survey Kent County, Delaware. U.S.D.A. Soil Conservation Service, Washington, DC, USA. Snyder, J. M., J. H. Barton, J. E. Dunn, J. Gum, and W. A. Gum. 1924. Soil survey of Sussex County, Delaware. U.S. Department of Agriculture, Bureau of Soils. Government Printing Office, Washington, DC, USA. Snyder, J. M. and R. L. Gillett. 1925. Soil survey of Wicomico County, Maryland. U.S. Department of Agriculture, Bureau of Soils. Government Printing Office, Washington, DC, USA. Snyder, J. M., W. C. Jester, and O. C. Bruce. 1926. Soil survey of Dorchester County, Maryland. U.S. Department of Agriculture, Bureau of Soils. Government Printing Office, Washington, DC, USA. Tiner, R. W. 1997. NWI maps: what they tell us. National Wetlands Newsletter 19(2):7–12. Tiner, R. W. 1999. Wetland Indicators: A Guide to Wetland Iden-tification, Delineation, Classification, and Mapping. Lewis Pub-lishers, CRC Press, Boca Raton, FL, USA. Tiner, R. W. 2002. Enhancing wetlands inventory data for water-shed- based wetland characterizations and preliminary assessment of wetland functions. p. 17–39. In R. Tiner (compiler) Watershed-based Wetland Planning and Evaluation: a Collection of Papers from the Wetland Millennium Event (August 6–12, 2000; Quebec City, Quebec, Canada). Association of State Wetland Managers, Inc., Berne, NY, USA. Available online at: http://www.aswm.org. Tiner, R. W. 2003a. Dichotomous keys and mapping codes for wet-land landscape position, landform, water flow path, and waterbody type descriptors. U.S. Fish and Wildlife Service, National Wet-lands Inventory Program, Northeast Region, Hadley, MA, USA. Tiner, R. W. 2003b. Correlating enhanced National Wetlands In-ventory data with wetland functions for watershed assessments: a rationale for northeastern U.S. wetlands. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. Tiner, R. W. 2004. Remotely-sensed indicators for monitoring the general condition of ‘‘natural habitat’’ in watersheds: an appli-cation for Delaware’s Nanticoke River watershed. Ecological In-dicators 4:227–243. Tiner, R. W. and H. C. Bergquist. 2003. Historical analysis of wet-lands and their functions for the Nanticoke River watershed: a comparison between pre-settlement and 1998 conditions. U.S. Fish & Wildlife Service, Northeast Region, Hadley, MA, USA.. National Wetlands Inventory technical report. Tiner, R. W., H. C. Bergquist, and B. J. McClain. 2002. Wetland characteristics and preliminary assessment of wetland functions for the Neversink Reservoir and Cannonsville Reservoir basins of the New York City water supply watershed. U.S. Fish and Wild-life Service, Northeast Region, Hadley, MA, USA. National Wet-lands Inventory report. Tiner, R. W., H. C. Bergquist, J. Q. Swords, and B. J. McClain. 2001. Watershed-based wetland characterization for Delaware’s Nanticoke River watershed: a preliminary assessment report. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory report. Tiner, R. W., and G. DeAlessio. 2002. Wetlands of Pennsylvania’s coastal zone: wetland status, preliminary functional assessment, and recent trends (1986–1999). U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inven-tory report. Tiner, R. W. and J. T. Finn. 1986. Status and recent trends of wet-lands in five mid-Atlantic states: Delaware, Maryland, Pennsyl-vania, Virginia, and West Virginia. U.S. Fish and Wildlife Ser-vice, Newton Corner, MA and U.S. Environmental Protection Agency, Region III, Philadelphia, PA, USA. Cooperative technical report. Tiner, R. W., I. Kenenski, T. Nuerminger, J. Eaton, D. B. Foulis, G. S. Smith, and W. E. Frayer. 1994. Recent wetland status and trends in the Chesapeake watershed (1982 to 1989). U.S. Envi-ronmental Protection Agency, Annapolis, MD, USA. Chesapeake Bay Program Technical Report. Tiner, R. W., C. W. Polzen, and B. J. McClain. 2004. Wetland characterization and preliminary assessment of wetland functions for the Croton watershed of the New York City water supply watershed. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory report. Tiner, R., S. Schaller, D. Petersen, K. Snider, K. Ruhlman, and J. Swords. 1999. Wetland characterization study and preliminary as-sessment of wetland functions for the Casco Bay watershed, southern Maine. U.S. Fish & Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory technical report. Tiner, R., M. Starr, H. Bergquist, and J. Swords. 2000. Watershed-based wetland characterization for Maryland’s Nanticoke River and Coastal Bays watersheds: a preliminary assessment. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. Na-tional Wetlands Inventory report. Tiner, R. W. and J. Stewart. 2004. Wetland characterization and preliminary assessment of wetland functions for the Delaware and Catskill watersheds of the New York City water supply system. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory report. Winant, H. B. and S. R. Bacon. 1929. Soil survey of Caroline Coun-ty, Maryland. U.S. Department of Agriculture, Bureau of Chem-istry and Soils. Government Printing Office, Washington, DC, USA. Manuscript received 2 February 2004; revisions received 27 January 2005; accepted 14 February 2005.
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Title | Assessing cumulative loss of wetland functions in the Nanticoke River Watershed uing enhanced national wetlands inventory data |
Contact | mailto:library@fws.gov |
Creator | Tiner, Ralph W. |
Description | TINER_WETLANDS25.pdf |
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Document Wetlands |
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Publisher | U.S. Fish and Wildlife Service |
Date of Original | June 2005 |
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Transcript | 405 WETLANDS, Vol. 25, No. 2, June 2005, pp. 405–419 2005, The Society of Wetland Scientists ASSESSING CUMULATIVE LOSS OF WETLAND FUNCTIONS IN THE NANTICOKE RIVER WATERSHED USING ENHANCED NATIONAL WETLANDS INVENTORY DATA Ralph W. Tiner U.S. Fish and Wildlife Service Northeast Region 300 Westgate Center Drive Hadley, Massachusetts, USA 01035 E-mail: ralph tiner@fws.gov Abstract: The coterminous U.S. has lost more than 50% of its wetlands since colonial times. Today, wet-lands are highly valued for many functions including temporary storage of surface water, streamflow main-tenance, nutrient transformation, sediment retention, shoreline stabilization, and provision of fish and wildlife habitat. Government agencies and other organizations are actively developing plans to help protect, conserve, and restore wetlands in watersheds. The U.S. Fish and Wildlife Service’s National Wetlands Inventory Program (NWI) has produced wetland maps, digital geospatial data, and wetland trends data to aid these and other conservation efforts. Most recently, the NWI has developed procedures to expand the amount of information contained within its digital databases to characterize wetlands better. It has also developed techniques to use these data to predict wetland functions at the watershed level. Working with the states of Delaware and Maryland, the NWI applied these techniques to the Nanticoke River watershed to aid those states in developing a watershed-wide wetland conservation strategy. Wetland databases for pre-settlement and contemporary conditions were prepared. An assessment of wetland functions was conducted for both time periods and comparisons made. Before European settlement, the Nanticoke watershed had an estimated 93,000 ha of wetlands covering 45% of the watershed. By 1998, the wetland area had been reduced to 62% of its original extent. Sea-level rise and wetland conversion to farmland were the principal causes of wetland loss. From the functional standpoint, the watershed lost over 60% of its original capacity for streamflow maintenance and over 35% for four other functions (surface-water detention, nutrient transformation, sedi-ment and particulate retention, and provision of other wildlife habitat). This study demonstrated the value of enhanced NWI data and its use for providing watershed-level information on wetland functions and for assessing the cumulative impacts to wetlands. It provides natural resource managers and planners with a tool that can be applied consistently to watersheds and large geographic areas to show the extent of wetland change and its projected effect on wetland functions. Key Words: cumulative wetland impacts, historic wetlands, Nanticoke River watershed, National Wetlands Inventory, wetland classification, wetland functional assessment, wetland trends INTRODUCTION Many investigators have reported significant losses of wetlands in the United States (e.g., Frayer et al. 1983, Tiner and Finn 1986, Dahl and Johnson 1991, Hefner et al. 1994, Tiner et al. 1994, Dahl 2000). These reports address wetland trends in terms of area lost or area gained but do not address the significance of the loss in functional terms. In the past decade, there has been considerable interest in wetland functional assessment at both the site-specific and landscape or watershed levels. The latter assessments require the use of geospatial data and geographic information technology (GIS). Several states in the Northeast with interest in landscape-level analysis have cooperated with the U.S. Fish and Wildlife Service (FWS) in pro-ducing watershed-level assessments of wetland func-tions. Among the areas evaluated were watersheds as-sociated with Maine’s Casco Bay, New York City’s water supply system, the Nanticoke River of Maryland and Delaware, and Maryland’s Coastal Bays plus Pennsylvania’s Coastal Zone (Tiner et al. 1999, 2000, 2001, 2002, 2004, Tiner and DeAlessio 2002, Tiner and Stewart 2004). To accomplish this work, the FWS’s Northeast Region developed a technique to prepare preliminary assessments of wetland functions for watersheds and large geographic areas (Tiner 2002). The technique requires enhancing digital Na-tional Wetlands Inventory (NWI) data by adding de-scriptors for landscape position, landform, water flow path, and waterbody type (LLWW) to the NWI digital database and then applying correlations between wet- 406 WETLANDS, Volume 25, No. 2, 2005 Figure 1. Locus map showing the Nanticoke River water-shed on the Delmarva Peninsula. land characteristics and functions to identify wetlands of potential significance for various functions. When applied to different-era datasets for wetlands in the same watershed, this assessment approach provides a perspective on the magnitude of the losses from a functional standpoint. The states of Maryland and Delaware are working cooperatively to develop a watershed-based strategy for wetland conservation and restoration for the Nan-ticoke River watershed. They contacted the FWS for assistance in conducting watershed-level assessments of wetlands, first for the present era and then for the pre-settlement period. The purpose of the investigation was to produce an inventory and analysis of historic wetlands and their functions for the Nanticoke River watershed and to compare these findings to present-day conditions. The specific objectives were 1) to pro-duce a map showing the general extent of wetlands prior to European colonization, 2) to prepare a prelim-inary functional assessment of pre-settlement wet-lands, 3) to create a consistent database of contem-porary wetlands for the entire watershed from existing enhanced NWI data, 4) to prepare a preliminary wet-land functional assessment for the present-day water-shed, and 5) to compare the changes in wetland extent and functions based on the pre-settlement and contem-porary wetland assessments. This paper generally de-scribes the assessment method and demonstrates its use for predicting the cumulative effect of historic wet-land losses on wetland functions for the Nanticoke River watershed. Study Area The study area is the Nanticoke River watershed, a tributary of the Chesapeake Bay, beginning in western Delaware on the Delmarva Peninsula and flowing in a southwesterly direction into Chesapeake Bay (Figure 1). This watershed is roughly 2,070-km2 in size and includes about 25% of the state of Delaware. Major tributaries include five in Delaware (Broad Creek, Deep Creek, Gravelly Branch, Gum Branch, and Mar-shyhope Creek) and four in Maryland (Marshyhope Creek, Rewastico Creek, Quantico Creek, and Wetip-quin Creek). METHODS Pre-settlement Wetland Inventory Reconstructing the distribution of historic wetlands requires using varied sources of information and mak-ing certain assumptions. Regardless of the procedures employed, the outcome is an approximation and not an exact replication of pre-settlement conditions. For this study, the distribution and extent of pre-settlement wetlands were derived from two sources: 1) soil sur-vey data from the U.S.D.A. Natural Resource Conser-vation Service (NRCS) and the Delaware Department of Natural Resources and Environmental Control (DNREC) based on 1:15,840 to 1:20,000 soil maps and 2) U.S. Geological Survey orthophotomaps (1: 24,000). The former source was the primary source, and most historic wetlands were identified from this material, since urban development was minor com-pared to agricultural impacts. The orthophotomaps were used to locate ‘‘lost’’ estuarine wetlands that are now shallow water. Hydric soil map units from soil survey data were identified as historic wetlands. A digital database of hydric soil map units was created for the Nanticoke watershed from existing digital soil survey data and from soil map unit data in published soil surveys. Two counties had digital soils data available: Dorchester (SSURGO data from NRCS based on Brewer et al. 1998) and Sussex (from DNREC). For other counties (Caroline, Wicomico, and Kent), hydric soil digital data were created by scanning individual soil survey maps from county soil survey reports (Matthews 1964, Hall 1970, Matthews and Ireland 1971, respectively). Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS���NANTICOKE RIVER WATERSHED 407 Scanning was done at 300 dots per inch (dpi) and saved as TIFF images. The black color band (all line-work) was selected in each image and copied to form a composite image (mosaic) for the county. Mosaics were georeferenced in ArcGIS 8.0 using the georefer-encing extension, with a 1:24,000 digital raster graph-ics (DRG) serving as the base. These mosaics were then converted to georeferenced GRIDS and then to linear coverages, which were converted to polygonal coverages and finally to shapes. The shapes were ed-ited and hydric soil map units labeled using the geo-referencing image to code ID in the background in ArcGIS 8.3. The soil-based historic wetland data were compared with existing NWI data to identify possible large wet-land complexes (typically forested wetlands) that were not recorded as historic wetlands based on soils map-ping (e.g., likely hydric inclusions in larger nonhydric soil units). Due to alignment issues caused by merging data sources, a 5-ha threshold was established for iden-tifying significant omissions. These larger NWI wet-lands were added to the historic data base. The pre-sumption was that if the area is a large forested wet-land today, it was likely a forested wetland at the time of European settlement. Estuarine wetlands have migrated landward and up-river due to sea-level rise over the past 500 years, while others have become permanently inundated. Consequently, the pre-settlement estuarine-riverine break had to be relocated further downriver than its current location, and ‘‘lost’’ estuarine wetlands had to be added to the database. For the former, the presence of soils recognized as submerged uplands and the ap-pearance of salt-stressed forests were used to establish this break at the mouth of the Baron Creek. Under-standably, this is a conservative demarcation, as it is likely that freshwater forested wetlands also occurred downstream along the edges of estuarine wetlands. The Honga and Sunken series (submerged ‘‘uplands,’’ now brackish tidal wetlands) both represent former lowland forests (likely palustrine forested wetlands or wet flatwoods similar to those occurring today on Othello and Elkton soils) that became estuarine wet-lands with rising sea level over the past few hundred years. The former is an organic soil (Terric Sulfihe-mists) with more than 40 cm of organic matter, where-as the latter is a mucky silt loam soil (Typic Ochra-quults) with a surface layer of only 5–20 cm of organic matter (Brewer et al. 1998). The Sunken series is typ-ified by salt-stressed (dying or dead) stands of loblolly pine (Pinus taeda L.) and some areas have become salt/brackish marshes. While both series represent for-mer forest, for purposes of this study, only the Sunken series was identified as pre-settlement freshwater for-ested wetlands. Given the thickness of its organic ho-rizon, the Honga series most likely became estuarine wetland more than 300 years ago (e.g., wood found in the organic and mineral horizons was carbon-dated at less than 700 years before present; Brewer et al. 1998). Pone soils were designated as temporarily flooded-tid-al forested wetlands where contiguous with tidal marsh soils; in other places, they were designated as nontidal temporarily flooded forested wetlands. Muck soils and contiguous soils that are now estuarine wetlands were also identified as historic tidal forested wetlands. Else-where, muck soil map units were regarded as non-tidal forested wetlands. The Nanticoke series and the tidal marsh map units from the soil surveys were considered pre-settlement freshwater tidal marshes. The pre-co-lonial limits of estuarine and freshwater tidal reaches represent approximate boundaries, mainly used to in-dicate a significant ecological and hydrologic change in this watershed over time. It is further recognized that the upstream limit of tidal influence was probably downstream from its current location, but approximat-ing this limit was not possible. To identify ‘‘lost’’ estuarine wetlands due to sea-level rise over the past few hundred years, U.S. Geo-logical Survey 1:24,000 orthophotomaps (Deal Island 1972, Mardela Springs 1982, Nanticoke 1983, and Wetipquin 1983) were consulted. The 2-m depth shown on these maps represents a convenient approx-imation of the lower limit of the intertidal zone 600 years ago; recorded depths within this boundary are mostly listed as 1 m below mean low water. Given a spring tide range of 0.8 to 0.9 m for the Nanticoke River (http://co-ops.nos.noaa.gov/tide pred.html) and a near constant rate of sea-level rise of 1.4 mm/yr in Chesapeake Bay over the past 6,000 years (Curtis Lar-sen, U.S. Geological Survey, pers. comm.; Larsen 1998), these shallow water areas were predicted to be estuarine wetlands (probably some combination of tid-al marshes and flats) around 1400 AD. Impounded sections of rivers (i.e., artificial in-stream ponds and lakes) shown on the soil surveys were classified as forested wetlands similar to contig-uous wetlands above and below the impoundment. Some minor area of open water was probably included in the wetland area estimate following this interpreta-tion. After pre-settlement wetlands were identified, they were classified according to NWI types (Cowardin et al. 1979). All inland wetlands were classified as pal-ustrine forested wetlands, recognizing that periodic wildfires would have created a succession of types from emergent wetlands through shrub swamps to for-ested wetlands, much like we observe today after tim-ber harvest. According to the 1920s soil surveys, most of the soils were forested in their original state (e.g., Wicomico County was ‘‘practically’’ all forest until 408 WETLANDS, Volume 25, No. 2, 2005 ‘‘reclaimed for agricultural purposes;’’ Snyder and Gillett 1925). Water regimes were based on hydrology data for soil map units published in the soil survey reports. The condition of the historic landscape is therefore much simplified. No attempt was made to separate for-ested wetlands into different types at the subclass level according to Cowardin et al. (1979) or to account for the effect of increased sedimentation on estuarine wet-lands following conversion of forests to agricultural land, since these patterns were impossible to predict. 1998 Wetland Inventory The distribution, extent, and classification of pre-sent- day wetlands were based on NWI mapping. NWI data for the Nanticoke watershed were recently updat-ed using spring 1998–1:40,000 black and white pho-tography (see Tiner et al. 2001, 2000 for details). Wet-lands were classified according to the FWS’s official wetland classification system (Cowardin et al. 1979). Enhanced Wetland Classification The NWI database was expanded to include descrip-tors for landscape position, landform, water flow path, and waterbody types (LLWW descriptors). They were applied to all wetlands and deepwater habitats in the NWI digital database by merging NWI data with on-line U.S. Geological Survey topographic maps (digital raster graphics), consulting aerial photography where necessary, and interpreting dichotomous keys to the descriptors (Tiner 2003a; Table 1). Enhanced classi-fication was applied to both the pre-settlement and 1998 wetlands. Preliminary Assessment of Wetland Functions This study employed a landscape-level wetland as-sessment approach called ‘‘Watershed-based Prelimi-nary Assessment of Wetland Functions’’ (W-PAWF). W-PAWF applies general knowledge about wetlands and their functions to produce a watershed profile highlighting wetlands of potential significance for nu-merous functions. The method was developed to pre-dict wetland functions for large geographic areas, par-ticularly watersheds, from NWI data. To do this, two steps must be undertaken: 1) the digital NWI database must be expanded by adding LLWW descriptors, and 2) correlations between wetland characteristics in the database and wetland functions must be developed. Many wetland functions are related to physical prop-erties, while others are dependent on a combination of biological and physical characteristics. For example, floodplain and depressional wetlands temporarily store surface water, whereas slope wetlands do not; wet-lands that are sources of streams are vital for stream-flow maintenance; marshes provide habitat for water-fowl and waterbirds. In W-PAWF, ten wetland functions are evaluated: 1) surface-water detention, 2) streamflow maintenance, 3) nutrient transformation, 4) sediment and other par-ticulate retention, 5) coastal storm-surge detention (for tidal regions only), 6) shoreline stabilization, 7) pro-vision of fish and shellfish habitat, 8) provision of wa-terfowl and waterbird habitat, 9) provision of other wildlife habitat, and 10) conservation of biodiversity (e.g., rare or uncommon wetland types in the water-shed based on NWI mapping or photointerpretable wetland types of regional significance for biodiversi-ty). The rationale for correlating wetland characteris-tics with these functions for the Northeast is described in Tiner (2003b). Correlations are based on a review of the literature and application of best professional judgment from many wetland biologists and resource specialists in the Northeast. After the digital databases for pre-settlement and contemporary wetlands were constructed (including LLWW descriptors), analyses were performed to pro-duce a preliminary assessment of wetland functions for the watershed for each era. Correlations between wet-land functions and characteristics were applied to the enhanced NWI database to identify wetlands that may be performing each function at significant levels. The conservation of biodiversity function was not evalu-ated for the pre-settlement era since source data were limited. After running the analyses, a series of maps were generated by ArcView 3.x to highlight wetlands that may perform these functions at high or other signifi-cant levels. Area summaries for each function were generated from Microsoft’s Access program. The tar-geted wetlands were predicted to perform a given function at a significant level presumably important to the watershed’s ability to provide that function. ‘‘Sig-nificance’’ is a relative term and is used in this analysis to identify wetlands that are likely to perform a given function at a level above that of wetlands not desig-nated. Function Comparison: Pre-settlement vs. 1998 To assess the impact of cumulative loss of wetlands on specific functions, one can simply examine the change in area of functionally significant wetlands. This was done, but the area difference alone may not adequately convey the cumulative impact on wetland functions. To address the latter, a simple weighting scale for wetlands of potential significance for each function was devised. A ‘‘high’’ potential was given Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 409 Table 1. Simplified keys for classifying wetlands by landscape position, landform, and water flow path. (Adapted from Tiner 2003a) Landscape Position 1. Wetland borders a river, stream, in-stream pond, lake, reservoir, estuary, or ocean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 1. Wetland does not border one of these waterbodies; it is completely surrounded by upland or borders a pond surrounded by upland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Terrene 2. Wetland lies along an ocean shore and is subject to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Marine 2. Wetland does not lie along an ocean shore . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 3. Wetland lies along an estuary (salt to brackish tidal waters) and is subject to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . .Estuarine 3. Wetland does not lie along an estuary or if so, it is not subject to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 4. Wetland lies along a lake or reservoir or within its basin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lentic 4. Wetland lies along a river, stream, or in-stream pond, or borders an estuarine wetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 5. Wetland is the source of a river or stream and this watercourse does not extend through the wetland . . . . . . . . . . . . . . . . . . Terrene 5. River or stream flows through the wetland, or wetland borders an estuarine wetland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 6. Wetland is periodically flooded by river or stream. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Lotic1 6. Wetland is not periodically flooded by the river or stream or by tides (episodic flooding may occur). . . . . . . . . . . . . . . . . . . Terrene Landform 1. Wetland occurs on a slope 2%. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Slope 1. Wetland does not occur on a slope 2% . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 2. Wetland forms an island completely surrounded by water . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Island 2. Wetland does not form an island . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 3. Wetland occurs in the shallow water zone of a permanent non-tidal waterbody, the intertidal zone of an estuary with unrestricted tidal flow, or the regularly flooded (daily tidal inundation) zone of freshwater tidal wetlands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fringe 3. Wetland does not occur in these waters or intertidal zones with unrestricted tidal flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 4. Wetland occurs in a portion of an estuary with restricted tidal flow due to tide gates, undersized culverts, dikes, or similar obstructions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Basin 4. Wetland does not occur in such location . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 5. Wetland forms a non-vegetated bank or is within the banks of a river or stream. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fringe 5. Wetland is not a non-vegetated riverbank or streambank or within the banks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6 6. Wetland occurs on an active alluvial plain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Floodplain* 6. Wetland does not occur on an active floodplain. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .7 7. Wetland occurs on a broad interstream divide (including headwater positions) associated with coastal or glaciolacustrine plains or similar plains. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Interfluve* 7. Wetland does not occur on such a landform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8 8. Wetland occurs in a distinct depression. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Basin 8. Wetland occurs on a nearly level landform . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Flat Water Flow Path2 1. Wetland is typically surrounded by upland (non-hydric soil); receives precipitation and runoff from adjacent areas with no apparent outflow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Isolated** 1. Wetland is not geographically isolated . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2 2. Wetland is a sink receiving water from a river, stream, or other surface-water source, and lacking surface-water outflow . . . . . Inflow 2. Wetland is not a sink; surface water flows through or out of the wetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .3 3. Wetland is subjected to tidal flooding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bidirectional-Tidal 3. Wetland is not tidally influenced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 4. Water flows out of the wetland, but does not flow into this wetland from another source . . . . . . . . . . . . . . . . . . . . . . . . . . .Outflow 4. Water flows in and out of the wetland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5 5. Water flows through the wetland, often coming from upstream or uphill sources (typically wetlands along rivers and streams) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Throughflow 5. Wetland is along a lake or reservoir and its water levels are subjected to the rise and fall of this waterbody . . Bidirectional-Nontidal 1 Lotic wetlands are separated into river and stream sections (based on watercourse width at map scale of 1:24,000 – polygon Lotic River vs. linear Lotic Stream) and then divided into one of five gradients: 1) high (e.g., shallow mountain streams on steep slopes), 2) middle (e.g., streams with moderate slopes), 3) low (e.g., mainstem rivers with considerable floodplain development), 4) intermittent (subject to periodic flows), and 5) tidal (hydrology under influence of the tides). 2 Surface-water connections are emphasized because they are more readily identified than groundwater linkages. * Basin and Flat sub-landforms can be identified within these landforms when desirable. ** Wetland is geographically isolated; hydrological relationship to other wetlands and watercourses may be more complex than can be determined by simple visual assessment of surface-water conditions. 410 WETLANDS, Volume 25, No. 2, 2005 a weight of 2, while a ‘‘moderate’’ potential and other potentially significant wetlands (i.e., shading for fish habitat and wood duck habitat) were assigned a weight of 1. By multiplying the wetland area listed as high, moderate, or other potential by the weighting factor, a total number of functional units was calculated for each function at pre-settlement and 1998. This allowed comparison between pre-settlement functional capacity (total functional units for time one) and the 1998 ca-pacity (total functional units for time two) and could demonstrate a percent loss of pre-settlement function. This provides an interesting perspective on the current conditions from a functional capacity standpoint and may give a better sense of the relative magnitude of the functional loss than change in wetland area alone. RESULTS The wetland database created for this project al-lowed production of wetland maps and statistics on wetland extent and predicted functions for two time periods (pre-settlement and 1998). Two sets of water-shed- scale maps (1:110,000) were produced to profile the Nanticoke’s wetlands—one set showing estimated pre-settlement conditions and predicted wetlands of significance for nine functions (excluding conservation of biodiversity) and the other set showing 1998 con-ditions and predicted wetlands of significance for ten functions. These maps are multi-colored and too de-tailed to present in this paper; they display wetlands by NWI types, landscape position, landform, water flow path, and potential significance for each of ten functions. An example of a reduced version is pre-sented as Figure 2; examples of similar maps for the Maryland portion of the watershed can be viewed on the web at: http://wetlands.fws.gov/Pubs Reports/ Md Watershed/Md watershed.htm. Wetland Extent Comparison Trends by Generalized NWI Types. There have been significant changes in wetland and aquatic resources since pre-settlement times (Figure 3). Prior to Euro-pean settlement, an estimated 93,125 ha of wetlands may have existed in the Nanticoke watershed (Table 2). Ninety percent of the predicted wetland area was represented by palustrine (freshwater) wetlands, most-ly nontidal (79,537.5 ha). Most (88.5%) of the wet-lands were forested, with the rest being classified as emergent (10.3% as estuarine and 1.2% as palustrine). The actual extent of palustrine emergent wetlands was undoubtedly greater than estimated due to fire impacts, but there were no data to predict this effect. The es-timates also do not include any predicted area of pal-ustrine scrub-shrub wetlands for similar reasons. By 1998, the Nanticoke’s wetland area had fallen to 57,492 ha (about 62% of the pre-settlement total). Eighty-eight percent was palustrine wetland, with for-ested and scrub-shrub wetlands accounting for over 46,000 ha. This figure includes many wetlands in post-harvest succession. Estuarine wetlands accounted for nearly 12% of the watershed’s wetland area. Irregu-larly flooded emergent wetlands predominated, occu-pying over 6,000 ha (about 93% of the Nanticoke’s estuarine wetlands; Table 3). Although Table 2 shows a tremendous increase in palustrine non-tidal emergent wetland area, the huge difference is an artifact, related more to the detailed wetland mapping in 1998 vs. gen-eralized pre-settlement data. Much emergent wetland area in 1998 resulted from timber harvest operations converting forested wetland to emergent wetland and with some increase in emergent wetland also due to pond construction. Table 3 gives a more detailed ac-counting of present-day wetlands by NWI types. Trends by LLWW Types. At pre-settlement, an esti-mated 2,809 wetlands occupied over 93,000 ha of the watershed (Table 4). Seventy-eight percent of the wet-land area was represented by terrene wetlands, while lotic wetlands comprised 12% of the area; estuarine wetlands made up 10%. About 77% of the wetlands were interfluve types. Fringe wetlands constituted 11% and floodplain wetlands about 10% of the wetland area. From the water flow perspective, 73% of the wet-land area experienced outflow, 15% bidirectional-tidal flow, 7% throughflow, and 5% was isolated (complete-ly surrounded by nonwetland). By 1998, the Nanticoke’s wetland area had been reduced by 39%, while the number of wetlands (ex-cluding ponds) increased 1.75 times to 4,920 due largely to fragmentation by roads and agricultural fields. The ratio of wetland types comprising the Nan-ticoke’s wetlands changed slightly with the significant decrease in wetland area. Terrene wetlands now rep-resent about 72% of the wetland area (excluding ponds), while estuarine wetlands comprise 16% and lotic wetlands 12%. Lentic wetlands created from dammed rivers or streams or by excavating and diking terrene wetlands occupy only 0.2% of the area. From the landform standpoint, interfluve wetlands account for 71% of the wetland area, followed by fringe wet-lands (17%) and floodplain wetlands (11%). Other wetland landforms now represent less than 2% of the area (flats 1.1%; basins 0.5%, and islands 0.2%). Outflow wetlands remain the predominant water-flow-path type, totaling 38,539 ha (68% of the wetland area). Bidirectional-tidal wetlands are second-ranked with 10,434 ha (18% of the wetland area), followed by throughflow wetlands with 5,917 ha (10%). Isolated wetlands amount to 2,029 ha (4%) and bidirectional- Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 411 Figure 2. Example of published thematic map (reduced in size and black & white copy of color map) highlighting pre-settlement wetlands of potential significance for streamflow maintenance. Black areas represent wetlands with high potential for contributing significantly to stream flow. (Tiner and Bergquist 2003) 412 WETLANDS, Volume 25, No. 2, 2005 Figure 3. Nanticoke River watershed’s wetlands and deepwater habitats at pre-settlement and in 1998. Black areas are deepwater habitats; gray areas are wetlands (including ponds). nontidal wetlands associated with impoundments total only 105 ha (0.2%). Since pre-settlement, terrene wetlands experienced the greatest loss, decreasing by nearly 44%, with ter-rene interfluve wetlands being most adversely affected. Habitat fragmentation was significant, with the mean size of interfluve wetlands dropping to a third of their original size (i.e., from 33.8 ha at pre-settlement to 10.6 ha in 1998). By 1998, the mean size of the most abundant wetlands—terrene outflow wetlands—had decreased from 175 ha to 18 ha, while their number increased nearly 6-fold (from 380 to 2120). Only 63% of the pre-settlement lotic wetland area remained in 1998; lotic river wetlands experienced the greatest loss ( 70%) from about 4,100 ha to roughly 1,200 ha. The area of estuarine wetlands dropped by an estimated 4%, and lentic wetlands became established in river impoundments and diked former terrene wetlands. Ponds were created from both wetlands and uplands. The proportion of wetland area represented by differ-ent landforms changed slightly, with a drop in inter-fluve wetlands (77 to 71%) and an increase in fringe and floodplain types (11 to 17% and 10 to11%, re-spectively). The percent of outflow wetland area fell from 73 to 68%, whereas the percent represented by throughflow and bidirectional-tidal flow rose from 7 to 10% and 15 to 18%, respectively. Causes of Wetland Trends Both natural processes and human activities were responsible for the predicted wetland losses. The chief natural process was sea-level rise, which affected both estuarine and palustrine wetlands. Most of the estua-rine wetlands lost became shallow estuarine water due to increased erosion and submergence. This hydrologic change also moved the salt wedge further upstream and inland converting many areas of freshwater wet- Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 413 Table 2. Historic trends in the Nanticoke’s wetland area (in hectares) by generalized NWI types: pre-settlement vs. 1998. (Note: 1998 data are more detailed than presented here – see Table 3; 1998 types have been aggregated for comparison with pre-settlement types; totals may be slightly different than sum of numbers duo to round-off procedures.) Wetland Type Pre-settlement Area (% of Wetlands) 1998 Area (% of Wetlands) Net Area Change (% of Pre-settlement) Estuarine Intertidal 9,569.6 (10.3) 6,849.4 (11.9) 2,720.2 ( 28.4%) Palustrine Emergent Tidal Nontidal 1,091.7 (1.2) 25.7 ( 0.1) 273.2* (0.5) 2,169.3 (3.7) 818.5 ( 75.0%) 2,143.6 ( 8341%)** Total 1,117.4 (1.2) 2,442.5 (4.2) 1,325.1 ( 118.6%) Palustrine Forested Tidal Nontidal 2,926.4 (3.1) 79,511.8 (85.4) 3,307.9*** (5.8) 42,975.5*** (74.8) 381.5 ( 13.0%) 36,536.3 ( 46.0%) Total 82,438.2 (88.5) 46,283.4 (80.5) 36,154.8 ( 43.9%) Other Palustrine Farmed Ponds -0- -0- 1,428.3 (2.5) 488.0 (0.8) 1,428.3 (NA%) 488.0 (NA%) Total -0- 1,916.3 (3.3) 1,916.3 (NA%) Grand Total 93,125.2 57,491.6 35,633.6 ( 38.3%) * Includes 153.3 ha of riverine tidal wetlands, mostly marshes. ** This increase is an artifact, since the pre-settlement extent of non-tidal emergents could not be accurately established. *** Includes scrub-shrub wetlands and mixed communities where forested or scrub-shrub wetland was the dominant class. lands (lotic river wetlands) to estuarine wetlands in the lower portion of the watershed. This process continues today, as witnessed by stumps and dead trees in es-tuarine marshes and dying or salt-stressed trees in neighboring landward areas. Rising sea level undoubt-edly had the effect of extending tidal influence up-stream, thereby changing the hydrology of former non-tidal wetlands to a freshwater tidal regime. With Eu-ropean settlement and subsequent population growth, drainage and conversion of much palustrine forested wetland to farmland took place for more than 200 years. In 1998, over 1,400 ha were classified as farmed wetlands, while the bulk of the drained wetlands were converted to non-wetland agricultural fields. Farming is the predominant land use in the watershed today. Many of the remaining palustrine wetlands are frag-mented by roads and cropland. Human activities also resulted in the creation of about 500 ha of ponds built in both wetlands and uplands. Trends by Wetland Function Two comparisons of changes in functions were made, one showing changes in wetland area providing functions at significant levels (Table 5) and the other depicting changes in functional units (Table 6). From an area standpoint, substantial losses of wetlands pro-viding all functions ranged from an over 50% area loss in wetlands important for sediment retention to a 23% loss of wetlands stabilizing shorelines and those stor-ing coastal storm surge. More than 30% of the wetland area rated as significant for performing half of the wet-land functions evaluated was lost. Wetlands that served as sources of streams (headwater wetlands) were most negatively impacted; 87% of the pre-settle-ment wetland area predicted as having high potential for this function was altered. Ditching of terrene in-terfluve wetlands either effectively drained many of these headwater wetlands, converting them to cropland (upland), or diminished the duration of their seasonal wetness (reducing their contribution to streamflow). When functional units were evaluated, the change in the watershed’s ‘‘functional capacity’’ may be bet-ter realized (Table 6). For most of the wetland func-tions evaluated, the Nanticoke watershed is predicted to be operating at 50 to 77% of its original capacity. The streamflow maintenance function supported by wetlands is operating at only 36% of its original ca-pacity; this has undoubtedly had significant adverse impacts on aquatic biota. The watershed’s capacity for providing six other functions decreased by more than 28% (i.e., surface-water detention, nutrient transfor-mation, sediment and other particulate retention, fish and shellfish habitat, waterfowl and waterbird habitat, and other wildlife habitat). The two remaining func- 414 WETLANDS, Volume 25, No. 2, 2005 Table 3. Wetlands in the Nanticoke watershed in 1998 classified by NWI wetland type to the class level (Cowardin et al. 1979). NWI Wetland Type Area (ha) Estuarine Wetlands Emergent (Regularly Flooded) Emergent (Irregularly Flooded) Scrub-Shrub (Irregularly Flooded) Forested (Irregularly Flooded) Unconsolidated Shore (Irregularly Exposed) Unconsolidated Shore (Regularly Flooded) 259.2 (96.9 oligohaline) 6,203.8 (2,469.7 oligohaline) 56.4 (34.5 oligohaline) 97.6 15.7 216.7 (111.1 oligohaline) Total 6,849.4 (2,712.2 oligohaline) Palustrine Wetlands (nontidal, except where noted) Aquatic Bed Emergent Emergent (Tidal) Mixed Emergent/Scrub-Shrub (Deciduous) 0.3 590.2 (3.4 Emergent/Forested) 119.9 1,260.6 Mixed Emergent/Scrub-Shrub (Evergreen) Farmed Needle-leaved Deciduous Forested 318.1 1,428.3 32.3 Evergreen Forested Evergreen Forested (Tidal) Scrub-Shrub/Emergent Broad-leaved Deciduous Forested Broad-leaved Deciduous Forested (Tidal) 3,350.0 (27.2 Atlantic White Cedar) 43.7 1,032.6 15,587.9 (76.0 w/Bald Cypress) 2,902.8 (10.5 w/Bald Cypress) Mixed Forested Mixed Forested (Tidal) Deciduous Forested/Emergent Forested/Scrub-Shrub and Forested/Scrub-Shrub Deciduous Scrub-Shrub 12,228.6 231.8 166.1 (9.5 tidal) 5,665.0 (43.5 tidal) 856.5 Evergreen Scrub-Shrub Mixed Scrub-Shrub Scrub-Shrub (Tidal) Unconsolidated Bottom/Vegetated Unconsolidated Bottom Unconsolidated Shore 2,475.9 1,633.5 76.7 16.4 (14.1 w/Bald Cypress) 468.4 3.2 Total 50,488.8 Riverine Wetlands Emergent (Tidal) Unconsolidated Shore (Tidal) 134.4 18.9 Total 153.3 GRAND TOTAL 57,491.5 tions (shoreline stabilization and coastal storm-surge detention) lost nearly one-quarter of their pre-settle-ment capacity. No function experienced an increase in capacity. DISCUSSION Extensive wetlands have always been recognized on the Delmarva Peninsula. Interpretation of the 1920s soil survey data predicted that the percent of the coun-ty represented by wetlands ranged from 32% for Car-oline County to a high of 75% for Dorchester County (Table 7). The latter county had extensive tidal wet-lands bordering Chesapeake Bay and much flatwood soil area (e.g., Elkton series). The extent of potential wetlands in the five-county area was roughly 50%. For the Nanticoke River watershed, pre-settlement wet-lands were estimated to occupy 44% of the watershed. This figure is consistent with the five-county wetland total for the 1920s, especially considering that the Nanticoke watershed did not have as high a percent of tidal wetlands as the five-county area (13% vs. 21% of the wetlands). Today, only 28% of the watershed is wetland. Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 415 Table 4. Historic trends in the Nanticoke’s wetland area (in hectares) by landscape position, landform, and water flow path: pre-settlement (YR 1400) vs. 1998. Codes for water flow path: BT bidirectional-tidal; TH throughflow; BI bidirectional-nontidal; IS isolated; OU outflow. Number of wetlands is approximate due to GIS processing. Landscape Landform Water Flow Path 1400 # 1400 Area (ha) 1998 # 1998 Area (ha) % Change in Area Estuarine Fringe* Island BT BT 83 1 9,228.2 341.3 143 2 9,062.6 100.6 1.8 70.5 Total 84 9,569.5 145 9,163.2 4.2 Lentic Basin Flat Fringe Island BI BI BI BI — — — — — — — — 26 8 14 4 44.4 8.7 50.0 2.0 Total 0 0 52 105.1 Lotic River Floodplain BT TH 102 10 2,907.3 66.5 151 6 957.2 11.3 67.1 83.0 Fringe Island BT TH BT 105 2 — 1,091.7 25.7 — 104 — 1 248.7 — 0.1 77.2 — Total 219 4,091.2 262 1,217.3 70.2 Lotic Stream Basin Flat Floodplain Fringe TH TH TH BT TH BT 12 13 130 2 — — 29.6 68.2 6,670.6 19.1 — — 52 95 385 25 29 13 142.4 315.6 5,018.6 56.2 99.5 8.5 381.1 362.8 24.8 194.2 Total 157 6,787.5 599 5,640.8 16.9 Terrene Basin Flat IS OU IS OU TH — 79 — 162 — — 330.2 — 1,047.9 — 7 14 10 47 1 6.0 101.7 33.5 292.1 0.4 69.2 72.1 Fringe Interfluve OU IS OU — 1723 380 — 4,616.2 66,655.3 1 1551 2120 0.4 1,989.2 38,144.3 56.9 42.8 TH 5 27.2 111 329.2 1110.3 Total 2,349 72,676.8 3,862 40,896.8 43.7 Grand Total 2,809 93,125.0 4,920 57,023.2** 38.8 * Includes tidal freshwater wetlands contiguous with estuarine wetlands and along estuarine waters. ** Excludes ponds. General Limitations of the Study Historic wetland data compiled from contemporary soil surveys have obvious limitations. Translating this information to historic wetland extent for the Nanti-coke required making certain assumptions: 1) hydric soil mapping units represent a reasonable approxima-tion of historic wetlands, 2) areas of the Sunken series were freshwater forested wetlands at pre-settlement, 3) areas of typical freshwater wetland soils that are now mapped as estuarine wetlands were also freshwater forested wetlands at pre-settlement, 4) areas of Honga series were estuarine wetlands at this time, although they were forested wetlands at least 700 years ago (Brewer et al. 1998), and 5) areas within non-hydric soil map units that were mapped as forested wetlands in 1998 by NWI represent hydric inclusions that were forested wetlands at pre-settlement. The 1998 database should adequately reflect current conditions due to strengthened federal and state regu-lations in the 1980s and 1990s. One must, however, recognize the limitations of any wetland mapping ef-fort derived mainly through photointerpretation tech-niques (Tiner 1997, 1999). Photo quality, scale, and environmental conditions at the time of acquisition are 416 WETLANDS, Volume 25, No. 2, 2005 Table 5. Comparison of preliminary functional assessment results for Nanticoke wetlands at pre-settlement versus 1998. Area (in hectares) and percentage of the wetland area total are given for each function. Total wetland area for 1998 (57,543.2 ha) includes 520 ha of ponds. Function Potential Significance Pre-settlement Area (% of total area) 1998 Area (% of total) % Change in Area Surface-water Detention High Moderate Total 20,380.5 (21.9) 70,814.5 (76.0) 91,195.0 (97.9) 15,870.7 (27.6) 39,847.7 (69.2) 55,718.4 (96.8) 22.1 43.7 38.9 Streamflow Maintenance High Moderate Total 72,971.2 (78.4) 546.4 (0.6) 73,517.6 (79.0) 9,586.2 (16.7) 33,332.4 (57.9) 42,918.6 (74.6) 86.9 600.0 41.6 Nutrient Transformation High Moderate Total 39,009.7 (41.9) 54,115.5 (58.1) 93,125.2 (100.0) 14,476.2 (25.2) 40,864.3 (71.0) 55,340.5 (96.2) 62.9 24.5 40.6 Retention of Sediments and Other Particulates High Moderate Total 20,380.1 (21.9) 20,365.2 (21.9) 40,745.3 (43.8) 15,627.2 (27.2) 1,920.1 (3.3) 17,547.3 (30.5) 23.3 90.6 56.9 Shoreline Stabilization High Moderate Total 20,448.2 (22.0) -0- 20,448.2 (22.0) 15,798.1 (27.5) 0.4 ( ) 15,798.5 (27.5) 22.7 negligible 22.7 Coastal Storm-surge Detention High 13,587.7 (14.6) 10,415.1 (18.1) 23.3 Fish/Shellfish Habitat High Moderate Shading* Total 10,670.0 (11.5) -0- 6,787.6 (7.3) 17,457.6 (18.8) 7,133.4 (12.4) 572.3 (1.0) 5,349.1 (9.3) 13,054.8 (22.7) 33.1 significant 21.2 25.2 Waterfowl/Waterbird Habitat High Moderate Wood Duck Total 10,686.9 (11.5) -0- 8,025.7 (8.6) 18,712.6 (20.1) 7,337.0 (12.8) 486.4 (0.8) 5,453.0 (9.5) 13,276.4 (23.1) 31.3 significant 32.1 29.1 Other Wildlife Habitat High Moderate Total 90,559.4 (97.2) 2,565.8 (2.8) 93,125.2 (100.0) 52,648.5 (91.5) 2,699.1 (4.7) 55,347.6 (96.2) 41.9 5.2 40.6 Table 6. Predicted change in the Nanticoke watershed’s capacity to perform nine wetland functions from pre-settlement to 1998. Func-tional units were derived from predictive values for each time period by applying a weighting scheme (2 for high; 1 for moderate; and 1 for other significant features, e.g., stream shading). The conservation of biodiversity function was not compared since original data lacked sufficient detail for such comparison. Function Pre-settlement Functional Units 1998 Functional Units Predicted % of Original Capacity Left Predicted % Change in Functional Capacity Surface-water detention 111,575.5 71,589.1 64.2 35.8 Streamflow Maintenance 146,488.8 52,504.8 35.8 64.2 Nutrient Transformation 132,134.9 69,816.7 52.8 47.2 Sediment and Other Particulate Retention 61,125.4 33,174.5 54.3 45.7 Shoreline Stabilization 40,896.4 31,596.6 77.3 22.7 Coastal Storm-surge Detention 27,175.4 20,830.2 76.7 23.3 Fish and Shellfish Habitat 28,127.6 20,188.2 71.8 28.2 Waterfowl and Waterbird Habitat 29,399.5 20,613.4 70.1 29.9 Other Wildlife Habitat 183,684.6 107,996.1 58.8 41.2 Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 417 Table 7. Area (in heactares) of wetland soil mapping units in each county falling within the Nanticoke River watershed based on 1920s soil surveys (Dunn et al. 1920, Snyder et al. 1924, Snyder and Gillett 1925, Snyder et al. 1926, and Winant and Bacon 1929). Statistics are for entire county; percent of county represented by each mapping unit is given in parentheses. Wetland Mapping Unit County Caroline Area (%) Dorchester Area (%) Wicomico Area (%) Kent Area (%) Sussex Area (%) Elkton Plummer Portsmouth St. Johns 13,215 (16.6) 933 (1.1) 6,193 (7.5) -0- 73,743 (49.4) -0- 544 (0.4) -0- 26,896 (27.4) -0- 10,105 (10.3) 2,539 (2.6) 32,233 (21.0) -0- 15,728 (10.2) -0- 41,172 (16.8) -0- 28,295 (11.7) 389 (0.1) Coastal Beach Meadow Swamp Tidal Marsh -0- 4,172 (3.0) -0- 1,788 (2.2) -0- 2,047 (1.4) -0- 35,679 (23.9) -0- 1,788 (1.8) 2,747 (2.8) 6,141 (6.3) 285 (0.2) 3,346 (2.2) 4,327 (2.8) 18,449 (12.0) 1,710 (0.7) 1,373 (0.6) 10,701 (4.4) 14,225 (5.8) Total 26,321 (31.8) 112,013 (75.1) 50,216 (51.2) 74,468 (48.4) 97,865 (40.1) major limiting factors. Moreover, drier-end wetlands, such as seasonally saturated and temporarily flooded palustrine wetlands, are often difficult to separate from non-wetlands on-the-ground, thereby complicating their detection through photointerpretation. It is important to re-emphasize that this type of func-tional assessment is a preliminary one based on wet-land characteristics interpreted through remote sensing and using the best professional judgment of numerous wetland specialists. Wetlands believed to be providing potentially high or other significant levels of perfor-mance for a particular function were highlighted. No attempt was made to produce a more qualitative rank-ing for each function or for each wetland based on multiple functions, as this would require more input from others and more data, well beyond the scope of this study. Field checking of seasonally flooded and seasonally flooded/saturated emergent wetlands should be done to determine if they are marshes or wet mead-ows. If the former, they will likely have high potential as both fish and shellfish habitat and waterfowl habitat rather than the moderate rating given in this analysis. The functional assessment used (W-PAWF) does not consider the condition of the adjacent upland (e.g., level of disturbance) or the actual water quality of the associated waterbody, which may be regarded as im-portant metrics for assessing the health of individual wetlands (not part of this study). Collection and anal-ysis of some of these data were done in related studies (Tiner et al. 2000, 2001, Tiner 2004) and were not part of the present study. Appropriate Use of this Type of Analysis Keeping in mind the limitations mentioned above, this analysis is a first-cut or initial screening of the watershed’s wetlands and an assessment of the poten-tial impact of cumulative losses on wetland functions. It highlights wetlands that may have a significant po-tential to perform each of ten functions. While the analysis provides perspective on the ability of the wa-tershed’s wetlands to perform these functions, it does not evaluate differences among wetlands of similar type and function. The latter information is often im-portant for making decisions about wetland acquisition and designating certain wetlands as more worthy of preservation versus others with the same categoriza-tion. Such information can be collected through field investigations and/or by consulting agencies having specific expertise in a subject area. The analysis for the Nanticoke watershed is a wa-tershed- based wetland characterization and a historical assessment of changes in wetland extent and function. It can serve as an initial screening for prioritization of wetlands for acquisition, restoration, or strengthened protection, as an educational tool for improving the public’s understanding of wetland functions and trends, and as a baseline assessment of how wetlands and functions have changed since pre-settlement. For more than two decades, NWI maps have been used by local governments in compiling natural resource in-ventories. Now, by enhancing NWI data and using it for wetland functional assessment, local planners have a valuable tool for preparing ecologically based mu-nicipal master plans (Honachefsky 1999). CONCLUSIONS Wetlands in the Nanticoke River watershed have undergone significant changes since pre-settlement. Prior to European colonization, about 45% of the wa-tershed (roughly 93,000 ha) was wetland, with exten-sive headwater wetlands supporting streamflow. By 1998, about 57,000 ha of wetlands (62% of the orig-inal area) remained and much of this area has been ditched, excavated, or impounded. Conversion of wet- 418 WETLANDS, Volume 25, No. 2, 2005 lands to agricultural lands was the predominant cause of freshwater wetland change; sea-level rise was the main agent of estuarine wetland change. Cumulative wetland losses have led to significant reductions of many wetland functions. Since colonial times, it was estimated that the Nanticoke watershed lost over 60% of its predicted capacity for streamflow maintenance and over one-third of its capacity for four other functions: surface-water detention, nutrient trans-formation, sediment and other particulate retention, and provision of other wildlife habitat. No function experienced an increase in capacity. The findings of this study provide an overview of the predicted changes in wetland extent and function for the Nanticoke River watershed since European set-tlement. The comparison of changes in wetland func-tion watershed-wide should be considered approximate due to the nature of this type of analysis. As with any remotely-sensed analysis, field checking should be conducted to validate the interpretations regarding functions of individual wetlands, since this type of as-sessment is a coarse-filter approach. Despite these lim-itations, the assessment serves as a foundation for un-derstanding the extent to which wetlands have changed in general form and function, and as such, it provides a valuable tool for resource planning. It should be used with other tools to help devise a watershed-wide strat-egy for wetland conservation and restoration. This pilot study demonstrated that it is possible to produce historic assessments of wetlands and functions through analysis of existing information and enhance-ment of NWI data. Depending on the nature of wetland development and the information available, many as-sumptions have to be made. Nonetheless, this ap-proach provides a consistent method for evaluating wetland status and trends from a functional perspective while helping increase our understanding of how much historic wetland losses have impacted a watershed’s ability to perform numerous functions. The NWI Program in the Northeast plans to add LLWW descriptors to the NWI digital database as maps are updated. This will increase the value of the NWI database and facilitate its use for preparing pre-liminary watershed assessments of wetland functions throughout the region. This type of assessment will also be incorporated into localized wetland trends studies to demonstrate how wetland losses are im-pacting specific functions. There is also interest in this applying these procedures to other regions. Such work will require review of the wetland function-character-istic correlations; minor modifications will undoubt-edly be needed to address regional differences in fish and wildlife habitat. ACKNOWLEDGMENTS This study was funded by the Kent Conservation District and the Maryland Eastern Shore Resource Conservation and Development Council. Herbert Bergquist (FWS) constructed the digital database for historic wetlands, performed GIS analyses to produce data for this report, and prepared Figure 1. Bobbi Jo McClain assisted in digital database construction dur-ing the early phase of this work. Correlations between wetland characteristics and wetland functions used to produce the preliminary assessment of wetland func-tions were prepared jointly by the FWS, wetland spe-cialists from Maryland and Delaware, and other sci-entists. Amy Jacobs (DNREC) and the Nanticoke wet-land group she assembled reviewed the draft protocols for correlating wetland characteristics with wetland functions and provided recommendations to modify the selection criteria. Participants included David Bleil, Katheleen Freeman, Cathy Wazniak, Mitch Keil-er, and Bill Jenkins (Maryland Department of Natural Resource); Julie LaBranche (Maryland Department of the Environment); Marcia Snyder, Dennis Whigham, and Don Weller (Smithsonian Environmental Research Center); Matt Perry and Jon Willow (U.S. Geological Survey); Mark Biddle (DNREC); and Peter Bowman (Delaware Natural Heritage Program). Abby Rokosch (DNREC) provided copies of the texts of 1920s soil survey reports for Kent and Sussex Counties and Cur-tis Larsen (U.S. Geological Survey) contributed infor-mation on sea-level rise for Chesapeake Bay. LITERATURE CITED Brewer, J. E., G. P. Demas, and D. Holbrook. 1998. Soil survey of Dorchester County, Maryland. U.S.D.A. Natural Resources Con-servation Service, Washington, DC, USA. Cowardin, L. M., V. Carter, F. C. Golet, and E. T. LaRoe. 1979. Classification of wetlands and deepwater habitats of the United States. U.S. Fish and Wildlife Service, Washington, DC, USA. FWS/OBS-79/31. Dahl, T. E. 2000. Status and trends of wetlands in the conterminous United States 1986 to 1997. U.S. Fish and Wildlife Service, Wash-ington, DC, USA. Dahl, T. E. and C. E. Johnson. 1991. Status and trends in the con-terminous United States, mid-1970’s to mid-1980’s. U.S. Fish and Wildlife Service, Washington, DC, USA. Dunn, J. E., J. M. Snyder, and E. Hoffecker. 1920. Soil survey of Kent County, Delaware. U.S. Department of Agriculture. Govern-ment Printing Office, Washington, DC, USA. Frayer, W. E., T. J. Monahan, D. C. Bowden, and F. A. Graybill. 1983. Status and trends of wetlands and deepwater habitats in the conterminous United States, 1950’s to 1970’s. Colorado State University, Fort Collins, CO, USA. Hall, R. L. 1970. Soil survey Wicomico County, Maryland. U.S.D.A. Soil Conservation Service, Washington, DC, USA. Hefner, J. M., B. O. Wilen, T. E. Dahl, and W. E. Frayer. 1994. Southeast wetlands: status and trends, mid-1970’s to mid-1980’s. U.S. Fish and Wildlife Service, Region 4, Atlanta, GA, USA. Honachefsky, W. B. 1999. Ecologically Based Municipal Land Use Planning. Lewis Publishers, CRC Press, Boca Raton, FL, USA. Larsen, C. E. 1998. The Chesapeake Bay: geological product of Tiner, CUMULATIVE LOSS OF WETLAND FUNCTIONS—NANTICOKE RIVER WATERSHED 419 rising sea level. U.S. Geological Survey, Reston, VA. Fact sheet 102–98. Matthews, E. D. 1964. Soil survey Caroline County, Maryland. U.S.D.A. Soil Conservation Service, Washington, DC, USA. Matthews, E. D. and W. Ireland, Jr. 1971. Soil survey Kent County, Delaware. U.S.D.A. Soil Conservation Service, Washington, DC, USA. Snyder, J. M., J. H. Barton, J. E. Dunn, J. Gum, and W. A. Gum. 1924. Soil survey of Sussex County, Delaware. U.S. Department of Agriculture, Bureau of Soils. Government Printing Office, Washington, DC, USA. Snyder, J. M. and R. L. Gillett. 1925. Soil survey of Wicomico County, Maryland. U.S. Department of Agriculture, Bureau of Soils. Government Printing Office, Washington, DC, USA. Snyder, J. M., W. C. Jester, and O. C. Bruce. 1926. Soil survey of Dorchester County, Maryland. U.S. Department of Agriculture, Bureau of Soils. Government Printing Office, Washington, DC, USA. Tiner, R. W. 1997. NWI maps: what they tell us. National Wetlands Newsletter 19(2):7–12. Tiner, R. W. 1999. Wetland Indicators: A Guide to Wetland Iden-tification, Delineation, Classification, and Mapping. Lewis Pub-lishers, CRC Press, Boca Raton, FL, USA. Tiner, R. W. 2002. Enhancing wetlands inventory data for water-shed- based wetland characterizations and preliminary assessment of wetland functions. p. 17–39. In R. Tiner (compiler) Watershed-based Wetland Planning and Evaluation: a Collection of Papers from the Wetland Millennium Event (August 6–12, 2000; Quebec City, Quebec, Canada). Association of State Wetland Managers, Inc., Berne, NY, USA. Available online at: http://www.aswm.org. Tiner, R. W. 2003a. Dichotomous keys and mapping codes for wet-land landscape position, landform, water flow path, and waterbody type descriptors. U.S. Fish and Wildlife Service, National Wet-lands Inventory Program, Northeast Region, Hadley, MA, USA. Tiner, R. W. 2003b. Correlating enhanced National Wetlands In-ventory data with wetland functions for watershed assessments: a rationale for northeastern U.S. wetlands. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. Tiner, R. W. 2004. Remotely-sensed indicators for monitoring the general condition of ‘‘natural habitat’’ in watersheds: an appli-cation for Delaware’s Nanticoke River watershed. Ecological In-dicators 4:227–243. Tiner, R. W. and H. C. Bergquist. 2003. Historical analysis of wet-lands and their functions for the Nanticoke River watershed: a comparison between pre-settlement and 1998 conditions. U.S. Fish & Wildlife Service, Northeast Region, Hadley, MA, USA.. National Wetlands Inventory technical report. Tiner, R. W., H. C. Bergquist, and B. J. McClain. 2002. Wetland characteristics and preliminary assessment of wetland functions for the Neversink Reservoir and Cannonsville Reservoir basins of the New York City water supply watershed. U.S. Fish and Wild-life Service, Northeast Region, Hadley, MA, USA. National Wet-lands Inventory report. Tiner, R. W., H. C. Bergquist, J. Q. Swords, and B. J. McClain. 2001. Watershed-based wetland characterization for Delaware’s Nanticoke River watershed: a preliminary assessment report. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory report. Tiner, R. W., and G. DeAlessio. 2002. Wetlands of Pennsylvania’s coastal zone: wetland status, preliminary functional assessment, and recent trends (1986–1999). U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inven-tory report. Tiner, R. W. and J. T. Finn. 1986. Status and recent trends of wet-lands in five mid-Atlantic states: Delaware, Maryland, Pennsyl-vania, Virginia, and West Virginia. U.S. Fish and Wildlife Ser-vice, Newton Corner, MA and U.S. Environmental Protection Agency, Region III, Philadelphia, PA, USA. Cooperative technical report. Tiner, R. W., I. Kenenski, T. Nuerminger, J. Eaton, D. B. Foulis, G. S. Smith, and W. E. Frayer. 1994. Recent wetland status and trends in the Chesapeake watershed (1982 to 1989). U.S. Envi-ronmental Protection Agency, Annapolis, MD, USA. Chesapeake Bay Program Technical Report. Tiner, R. W., C. W. Polzen, and B. J. McClain. 2004. Wetland characterization and preliminary assessment of wetland functions for the Croton watershed of the New York City water supply watershed. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory report. Tiner, R., S. Schaller, D. Petersen, K. Snider, K. Ruhlman, and J. Swords. 1999. Wetland characterization study and preliminary as-sessment of wetland functions for the Casco Bay watershed, southern Maine. U.S. Fish & Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory technical report. Tiner, R., M. Starr, H. Bergquist, and J. Swords. 2000. Watershed-based wetland characterization for Maryland’s Nanticoke River and Coastal Bays watersheds: a preliminary assessment. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. Na-tional Wetlands Inventory report. Tiner, R. W. and J. Stewart. 2004. Wetland characterization and preliminary assessment of wetland functions for the Delaware and Catskill watersheds of the New York City water supply system. U.S. Fish and Wildlife Service, Northeast Region, Hadley, MA, USA. National Wetlands Inventory report. Winant, H. B. and S. R. Bacon. 1929. Soil survey of Caroline Coun-ty, Maryland. U.S. Department of Agriculture, Bureau of Chem-istry and Soils. Government Printing Office, Washington, DC, USA. Manuscript received 2 February 2004; revisions received 27 January 2005; accepted 14 February 2005. |
Original Filename | TINER_WETLANDS25.pdf |
Date created | 2013-01-16 |
Date modified | 2013-03-06 |
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