EPA/600/R-98/175 March 1999 Nanticoke Wetland Assessment Study by: Dennis F. Whigham, Donald E. Weller, and Thomas E. Jordan Smithsonian Environmental Research Center Box 28 Edge water, MD 2103 7 Agreement Number: CR826817-01-0 Project Officer: Mary E. Kentula Western Division National Health and Environmental Effects Laboratory Corvallis, OR 97333 National Health and Environmental Effects Laboratory Office Of Research and Development U.S. Environmental Protection Agency Research Triangle Park, NC 27711 ------- DISCLAIMER This project has been funded by the U.S Environmental Protection Agency and conducted through assistance agreement number CR826817-O1-O to the Smithsonian Environmental Research Center. This document has been subjected to the Agency 1 s peer and administrative review and approved for publication. The official endorsement of the Agency should not be inferred. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. This document should be cited as: Whigham, D.F., D.E Weller, and T.E. Jordan. 1999. Nanticoke Wetland Assessment Study. EPA/600/R-98/1 75. U S. Environmental Protection Agency, Western Division, National Health and Environmental Effects Laboratory, Corvallis, Oregon. ii ------- INTRODUCTION The overall objective of the study is to assess the ecological conditions of wetlands in the Nanticoke River watershed of Maryland and Delaware. Itis one part of a multi-faceted effort coordinated by EPA’s Environmental Monitoring and Assessment Program (EMAP), EPA Region ifi, Chesapeake Bay Program, and Commonwealths of Maryland and Delaware. Following a listing of four objectives and a generalized descnption of the Nanticoke River watershed, the study plan is divided into four sections Section I is a descnption of the Hydrogeomorphic (HGM) approach that we will use to assess wetland conditions. Section II is a description of the proposed activities, Section ifi contains a preliminary schedule. Section IV is a projected list of products. Specific objectives are: 1. Use the hydrogeomorphic (HGM) approach to classify and assess ecological conditions in non-tidal rivenne and depressional wetlands of the Nanticoke River watershed. The assessments will be performed by conducting field surveys of wetlands in combination with digital spatial data analyzed with a geographic information system (GIS) Completion of Objective I will result in measurements of ecological conditions in non- tidal rivenne and depressional wetland sites in the watershed. The sites chosen for study will be statistically chosen using EPA protocols to be representative of the entire watershed. 2. Use data from individual wetlands (Objective 1) to predict ecological conditions of non- tidal nvenne and depressional wetlands in the watershed. Objective 2 will be accomplished by determining mathematical relationships between wetland conditions and GIS variables obtained in Objective 1. The mathematical relationships will be used in combination with GIS to predict wetland conditions over the entire watershed. 3. Objectives 1 and 2 are based on the important premise that the HGM approach accurately predicts ecological conditions in wetlands. The third objective will be to verify this premise by comparing results of HGM assessments at individual wetlands with measurements of ecological processes at the same sites. This part of the project will focus on denitnfication, a specific component of the nitrogen cycle. The importance of denitrification in wetlands in the highly agricultural Nanticoke River watershed is descnbed in more detail below. 4. A fourth objective of the project will be to use denitrification rates measured at individual wetlands (Objective 3) to predict rates of denitrification of all non-tidal riverine and depressional wetlands in the watershed. Objective 4 will be accomplished by determining mathematical relationships between denitrification rates and GIS variables obtained in Objective 1. The mathematical relationships will be used in combination with GIS to predict denitnfication rates in all non-tidal riverine and depressional wetlands in the Nanticoke River watershed. 1 ------- The Nanticoke River drains approximately 700,000 acres of four counties in Maryland and two counties in Delaware (Nature Conservancy 1994). Agriculture occupies about 42% of the watershed and less than 2% is urban or suburban lands Forests cover approximately 45% of the watershed, but many are intensively managed (Bohien and Friday 1997). Extensive agriculture and forest management have only been possible because of drainage, a practice that has had major impacts on wetlands in the watershed. Most of the losses of palustrine wetlands in Delaware, for example, has resulted from “agricultural conversion, drainage by channelization projects, and forestry practices” (Tiner 1985). Wetland losses in intertidal portions of the watershed are minimal, but considerable pressures exist for conversion of inland (non-tidal) wetlands (Tiner 1985, Tiner and Burke 1995). Water quality problems are common within the watershed and are thought to be a reflection of the intensive agriculture (Phillips et al. 1993, Maryland Department of the Environment 1994, Bohlen and Friday 1997, Jordan et al. 1997). We anticipate that the greatest impacts to wetlands in the Nanticoke River watershed have been and will continue to be to nvenne wetlands along small (ist and 2’ ’ order) streams and to wetlands in the depressional and flats subclasses (sensu Brinson 1993). Accordingly, our efforts will focus on the assessment of wetland conditions in non-tidal rivenne, primarily headwater areas, wetlands associated with 1 St and 2 nd order streams, and depressional wetlands. We will not assess ecological conditions in the more than 16,000 acres (@ 2% of the watershed) of intertidal wetlands associated with the Nanticoke River watershed (Tiner 1985, Tiner and Burke 1995). Our sampling of rivenne wetlands will, however, not preclude the inclusion of forested nverine wetlands that are periodically influenced by tides. There is insufficient funding in the project to sample intertidal wetlands and, based on conversations with wetland experts from Delaware and Maryland, tidal wetlands are currently the least threatened wetland types in the watershed. The approach that we will use to conduct the study, the timetable that we will follow, and expected products from the project are presented in the next four sections. The first year of the study will be the Developmental Phase consisting of three related components. First, we will produce a map of the distnbution of HGM wetland subclasses in the watershed. Second, we will develop, test, and validate variables and models that will be used to assess wetlands in the watershed. The third component will be the testing of methods for measuring denitrification. The second year of the study will be the Assessment Phase when we will assess wetland conditions in the watershed, measure denitnfication in a sub-set of wetlands chosen for assessment, analyze and interpret data, and produce reports and scientific publications. SECTION 1- HGM APPROACH TO WETLAND ASSESSMENT We define ecological conditions to be the characteristics of individual wetlands. In the HGM approach to wetland assessment (e.g., Smith et al 1995, Bnnson 1996, Rheinhardt et al 1997), wetland conditions are determined by quantifying vanables chosen to characterize (e.g., assess) wetland functions A variable is an attribute or characteristic of a wetland (e.g., plant species diversity) or the surrounding landscape (e.g., land-use in areas adjacent to the wetland) that influences the capacity of a wetland to perform a function. Functions are the normal activities or actions that occur in wetland ecosystems. For each wetland that is assessed, a 2 ------- numencal value for each vanable is determined by observing the variable in the wetland or surrounding landscape then assigning a scaled value (Variable Subindex) based on comparison to predetermined reference standards. Reference standards are the conditions exhibited by a group of reference wetlands that correspond to a level of functioning that is both charactenstic for the reference subclass (e.g , depressional or nverine non-tidal wetlands) in the reference domain (e.g., Nanticoke River watershed) and are sustainable over the long-term without human intervention. Once Variable Subindices have been assigned to each variable, functions are computed as Functional Capacity Index scores by mathematically combining variable Subindices (e.g , Rheinhardt et al 1997). Functions assessed using the HGM approach fall into three categones (hydrological, biogeochemical, biologicallhabitat) and they are conceptually representative of ecological conditions of a wetland at the time it was sampled. Functional Capacity Index scores and Variable Subindices are useful not only in determining existing wetland conditions but also in wetland restoration and mitigation. One of the strengths of the HGM approach is that it not only can be used to assess overall wetland conditions but the data can be analyzed to determine which variables differ from reference conditions in each wetland or groups of wetlands. We will use matnces of Functional Capacity Index scores and Variable Subindex values to provide a detailed analysis of conditions for depressional and nvenne subclasses of wetlands in the watershed. For example, wetland functions for depressional wetlands in the watershed might score high for a hydrology function (e.g., the quantitative score for the function would be near the maximum value of 1.0). The same wetlands, however, might score low for one of the biological/habitat functions (e.g., the quantitative scores for the function would be near the minimum value of 0 0). The Variable Subindex values can be analyzed to determine why the Functional Capacity Index score was low. Continuing with the same example, it might be found that the wetlands which scored low for a biological/habitat function had all been converted from forested wetlands to wetlands dominated by weedy herbaceous species and they all also had low Variable Subindex values for microtopography (i.e , the wetlands had been smoothed mechanically by farming activities). This approach will allow us to provide a detailed analysis of conditions in the watershed from the perspective of both variables and functions. Further descriptions of the application of HGM and examples of its application can be found in Rhemhardt et al. (1997), Ainslie et al.(In press) and Rheinhardt et al. (In review). SECTION II- RESEARCH APPROACH The primary goal of this study is to assess the ecological conditions of wetlands in the Nanticoke River watershed. It is not the intention of this study to focus on delineation of wetland boundaries in the watershed nor to perform a trends analysis on wetlands in the Nanticoke. We propose to reach the pnmary objective by conducting the following procedures during the Developmental and Assessment phases of this study. 3 ------- Developmental Phase National Wetland Inventory (NWI) maps and state wetland maps from Delaware and Maryland will be used to identify existing wetlands in the Nanticoke River watershed. Wetlands mapped by NW! and by Maryland and Delaware are categorized using the national classification system developed by Cowardin et al (1979). 2. The Smithsonian Environmental Research Center (SERC) will convert NW! designations for wetlands into hydrogeomorphic classes as descnbed by Bnnson (1993). We anticipate that there will be four dominant HGM wetland subclasses in the Nanticoke River watershed: rivenne, fringe (both tidal freshwater and tidal brackish-estuarine), depressional and flats. As stated in Section I, the scope of this project will only include non-tidal nvenne and depressional wetlands. For simplicity, only non-tidal and depressional wetlands will be discussed below as it is uncertain at this time how flats will be handled. NWI designations for wetlands will be converted to HGM classes through a senes of discussions with NW! and EPA experts and with field testing. We recommend that EPA engage Ralph Tiner to assist with this activity. Tiner is an employee of the US Fish and Wildlife Service, and is an expert in NWI and has expenence in converting NWI designations to HGM classes. We also assume that EPA personnel (e.g., Mary Kentula, Charles Rhodes) and members of the research team from the parallel study in the Juniata watershed in Pennsylvania (Robert Brooks and Dernce Heller Wardrop of Penn State University) will be available to assist with this activity. Once a protocol has been developed to convert NWI categories to HGM classes, SERC will prepare a map of the distribution of HGM wetland classes in the Nanticoke River watershed. The HGM watershed map and the associated GIS database will be made available to the EMAP Design Team for the purpose of assisting SERC in identifying wetland sites that will be sampled in the Assessment Phase. 3. SERC will coordinate with EMAP personnel to develop a sampling strategy, based on their probability-based (random) sample survey approach, to locate potential non-tidal nvenne and depressional wetland study sites in the Nanticoke River watershed. 4. Access to wetland study sites and sampling of wetlands will be done by field crews organized and directed by the Wetland Coordinator who has been contracted by EPA to direct these activities. As much as possible, SERC staff we will evaluate each site identified by EMAP to determine its suitability for inclusion in this project. SERC will be responsible for training the Wetland Coordinator who, in turn, will train and supervise the field crews. SERC will assist in training field crews and will develop manuals containing procedures that will be used by the field crews. 5. SERC will develop a list of variables and HGM fimctional models that will be used to assess wetland conditions. There will be separate lists of variables and functions for non- tidal riverine and depressional wetlands. The imtial list of vanables and functions will be 4 ------- based on existing draft HGM models for nverine and depressional wetlands in the Chesapeake Bay region. When appropnate, we will also utilize draft vanables and functions that have been developed for wetland flats in the southeast (Rheinhardt et al In review) 6. A group of experts familiar with the two wetland classes and with HGM procedures will be asked to review the list of variables and functions selected for the wetland sub-classes. The list of variables will be revised based on comments and suggestions from the experts. We recommend that EPA enlist Mark Brinson and Rick Rheinhardt (East Carolina University), Leander Brown (Natural Resource Conservation Service) and Lyndon Lee (L.C. Lee & Associates, Inc.) in this effort. SERC also anticipates that this effort will benefit by interactions with EPA staff (Mary Kentula, Charles Rhodes and Art Spingarn) and scientists (Rob Brooks and Denice Heller Wardrop) involved in the Juniata River assessment study. 7. Procedures for sampling wetlands developed by SERC will be used by the Wetland Coordinator and field crews to sample 25 non-tidal nvenne and 25 depressional wetlands. The 50 wetlands will be sampled for purposes of testing, scaling, and revising the preliminary lists of HGM variables. In HGM terminology, the 50 wetlands that will be sampled are called Reference Wetlands and they will be selected, in conjunction with EMAP, to represent the range of ecological conditions that are present in the watershed. If possible, the range of ecological conditions will be represented by selecting Reference Wetlands that are relatively un-impacted by human activities, wetlands that have been impacted by natural and anthropogenic activities, wetlands that have been restored and wetlands that have been converted to agricultural purposes. Data compiled from the 50 Reference Wetlands will be used to scale variables for the two subclasses of wetlands. In addition, feed-back from the field crews will be used to revise protocols for field sampling. 8. The revised list of variables and revised protocols for field sampling will be further evaluated and tested by sampling a second set of 25 randomly chosen wetlands in each subclass. The goals of this test will be: (1.) Continued refinement of the variables and protocols used for sampling wetlands in the Nanticoke River watershed in 2000, (2.) Determine if the protocols that have been developed effectively quantify differences between wetlands. Wetlands that will be used in this test will be identified by the EMAP Design Team, and selected by SERC and the Wetland Coordinator. Assessement Phase Site-Level Condition The EMAP Design Team will assist SERC in locating wetlands in the two subclasses for sampling in the spring, summer, and autumn of 2000. The goal of this part of the study will be to use the HGM procedures developed in the 1999 Developmental Phase to determine the ecological conditions of wetlands in the Nanticoke River watershed in 2000 during the Assessment Phase. The number of sites selected and eventually sampled will depend on the number of field crews and number of individuals in the field crews At mimmum, we hope to 5 ------- sample 100-350 wetlands in each subclass. Role of Denitrification As noted above, water quality issues are of major concern in the Nanticoke River watershed. Agriculture has greatly increased discharges of nitrogen from the Nanticoke and other coastal plain watersheds of Chesapeake Bay (Jordan et al. 1997). Atmospheric deposition also adds significant nitrogen loads to non-agricultural lands as well as agricultural lands in the Chesapeake watershed (Fisher and Oppenheimer 1991, Jordan et a!. 1995). Wetlands can remove nitrogen through denitriuication (the conversion of nitrate to nitrous oxide and dinitrogen gases) and improve water quality (Peterjohn and Correll 1984, 1986, Lowrance et al 1984, Bnnson et a!. 1984, Bowden 1987, Brodnck et a!. 1988, Weller et al. 1994, Hill 1996, Jordan et al. in press). However, it is difficult to extrapolate denitrification rates to large spatial scales because of the high spatial variability of denitnfication (Tiedje et a!. 1989). The objectives of this part of the study are to: (1) Measure denitnfication rates in non- tidal nverine and depressional wetlands, (2.) Determine the correlation between denitrification rates and HGM variables that will be used to assess wetland conditions and with other landscape variables represented in digital spatial data sets. These correlations will be used to predict denitrification rates of non-tidal nverine and depressional wetlands in the Nanticoke River watershed. We will measure denitnfication in surface soils in situ using chambers placed over the soil to trap emitted nitrous oxide (Yoshinari Ct al 1977). With this widely-used acetylene inhibition technique (Tiedje et al. 1989), we will infer total denitnfication and the proportion of dinitrogen produced by companng the nitrous oxide release with and without acetylene present. We will also evaluate potential denitrification in response to nitrate loading, the dominant form of nitrogen discharged from agricultural watersheds We will also examine correlations between denitnfication and related vanables such as pH, Eh (Platinum electrode), temperature, organic carbon, total nitrogen, nitrate, and ammonium in the soil; and with dissolved nitrate, ammonium, and organic nitrogen in groundwater and in overlying water (if present). Landscape-Level Condition We will statistically evaluate relationships between HGM variables and ecological conditions in non-tidal rivenne and depressional wetlands in the Nanticoke River watershed. SERC will use appropriate variables and statistics to project data from sites sampled in the field to the entire watershed. We will use ARC/INFO GIS software already in use at SERC to organize and analyze the spatial data on ecological conditions and landscape characteristics. SERC has extensive experience in GIS technology in our ongoing studies of nutnent discharge from Chesapeake Bay and Patuxent River watersheds. We already hold considerable GIS data on the Nanticoke watershed, including data on NWI wetlands (to be updated with revised NWI maps provided by EPA), stream maps from EPA’s Reach Files I and 3, USGS digital elevation models, USGS hydrologic unit boundaries, land cover as estimated by remote sensing, soils maps, geologic maps, and other data sets. 6 ------- SECTION III - SCHEDULE OF ACTIVITIES Oct.-Dec., 1998 a. Initial discussions with EPA and revision of study plan based on reviewer comments. b. Meetings with MD and DE stakeholders and EPA staff to evaluate goals and objectives of the project. Jan.-May, 1999 a. Hire technicians. b. Draft QAPP plan. c. Compile NWI maps for watershed into SERC GIS database. d. Discussions and meetings with NW! and HGM experts to convert NWI maps for Nanticoke River watershed to HGM maps e. Discussions and meetings with EPA EMAP to begin coordination of efforts to select wetland sites that will be sampled in 1999 f Develop list of variables to be used in models of HGM functions for nvenne and depressional wetland subclasses. g. Develop protocols and field assessment sheets for sampling Reference Standard wetlands h. Discussions with Wetland Coordinator to develop protocols for selecting, organizing and training field crews. i. Conduct GIS analysis of landscape variables for Reference Wetlands selected by SERC and Wetland Coordinator. j. Conduct preliminary denitrification studies at a subset of Reference Wetlands. k. Prepare SOP’s and QAPP documentation for site selection, inventory, and data management. Jun.-July, 1999 a. Analyze data from Reference Wetlands provided by Wetland Coordinator and data on landscape variables obtained by GIS procedures at SERC. b. Revise list of variables and protocols for sampling wetlands c. Scale variables using data from Reference Wetlands. d. Continue measurement of denitrification at a subset of Reference Wetlands. e. Discussions with Wetland Coordinator and field crews to prepare for sampling second set of wetlands to test procedures. Aug.-Oct., 1999 a. Wetland Coordinator and field crews sample second set of wetlands. b. SERC measure denitrification in sub-set of second set of wetlands. Nov -March, 2000 a. SERC analyzes data from second set of wetlands to make adjustments needed to conduce watershed assessment in 2000. b. SERC prepares SOP’s and QA documentation for site selection, 7 ------- inventory, and data management for second year of project c EPA EMAP, SERC, and Wetland Coordinator identif ’ and select wetland sites that will be sampled in 2000 d. SERC analyzes GIS data for wetlands selected for second year of project and prepare information for venfication by field teams when they sample the sites. e SERC analyzes nitrogen and carbon content of stored soil samples form denitnfication measurements f. SERC selects sub-set of wetlands that will be used for measurements of denitrification and related vanables in 2000. g. SERC and Wetland Coordinator train field crews for 2000 field season Apnl-Oct. 2000 a. Wetland coordinator and field crews sample wetlands. b. SERC conduct denitnfication study at sub-set of wetlands. Nov -Sept., 2001 a. Wetland Coordinator provide corrected data, onginal field sheets, field notes and photographs of wetland sites to SERC. b. SERC analyze data from wetland assessment and from denitnfication study. c. Prepare final report and prepare publications. SECTION IV - LIST OF PRODUCTS 1. Semi-annual reports in the form of a memo to the Project Officer. 2. Final report, which may be in the form of a scientific publication (see #5 below) 3. Guidebook of procedures that can be used to assess wetland conditions at the level of an individual wetland and at the watershed scale. 4. Ecological profiles of nvenne and depressional wetland subclasses in the Nanticoke River watershed. The profiles would include: (1.) descriptions of the wetland subclass based on results from the project and an analysis of relevant literature, (2) Summaries and analysis of data collected dunng the project, (3.) Appendices of data or directions on how to obtain the raw data electronically. 5. Scientific publications based on 3 and 4 above. 8 ------- LITERATURE CITED Ainslie, W B., B A Pruitt, R.D. Smith, T H. Roberts, E.J. Sparks, and M.V. Miller. In press. Regional Guidebook for Applying the Hydrogeomorphic Approach to Riverine, Low Gradient Wetlands in Western Kentucky. Technical Report, Waterways Experiment Station, U.S. Army Corps of Engineers, Vicksburg, MS. Bohlen, C.C. and R. Friday. 1997 Ripanan and terrestrial issues in the Chesapeake A landscape management perspective. Pages 95-125. In. R.D. Simpson and N L. Christensen, Jr, eds Ecosystem Function and Human Activities. Reconciling Economics and Ecology. Chapman & Hall, NY Bowden, W.B. 1987. The biogeochemistry of nitrogen in freshwater wetlands. Biogeochemistry 4: 3 13-348. Brinson, M.M. 1993. A hydrogeomorphic classification of wetlands U S. Army Corps of Engineers Waterways Expenment Station, Vicksburg, MS. Wetlands Research Program Technical Report WRP-DE-4. Bnnson, M.M. 1996. Assessing wetland functions using. National Wetlands Newsletter, January/February. Environmental Law Institute, Washington, D.C. Bnnson, M.M , H.D Bradshaw, and E.S Kane. 1984 Nutrient assimilative capacity of an alluvial floodplain swamp. Journal of Applied Ecology 21 1041-1057. Brodrick, S.J., P. Cullen, and W. Maher. 1988 Denitnfication in a natural wetland receiving secondary treated effluent. Water Resources Research 22:431-439. Cowardin, L.M., V. Carter, F.C. Golet, and E.T. LaRoe. 1997. Classification of Wetlands and Deepwater Habitats of the United States. U S. Fish and Wildlife Service, Washington, D.C. FWS/OBS-79/3 1. Fisher, D C. and M. Oppenheimer. 1991. Atmospheric nitrogen deposition and the Chesapeake Bay Estuary. Ambio 20:102-108. Hill, A.R. 1996. Nitrate removal in stream nparian zones. Journal of Environmental Quality 25:743-755. Jordan, T.E., D.L. Correll, D.E. Weller, and N.M. Goff. 1995 Temporal variation in precipitation chemistry on the shore of the Chesapeake Bay. Water, Air, and Soil Pollution 83:263-284. Jordan, T.E., D.L. Correll, and D E. Weller. 1997. Effects of agriculture on discharges of nutrients from Coastal Plain watersheds of Chesapeake Bay. Journal of Environmental Quality 26: 836-848. 9 ------- Jordan, I.E , D E. Weller, and D L. Correll. In press. Denitrification in surface soils of a npanan forestS Effects of water, nitrate, and sucrose additions. Soil Biology and Biochemistry Lowrance, R, R Todd, J. Fail, 0. Hendnckson, R.. Leonard, and L. Asmussen. 1984. Ripanan forests at nutrient filters in agncultural watersheds. Bioscience 34:374-377. Maryland Department of the Environment (MDE) 1994. Chesapeake Bay Tnbutary Monitonng Reports: Nanticoke River: Tidal fresh, August 1994 draft. Maryland Department of the Environment, Baltimore, MD Nature Conservancy. 1994. Nanticoke-Blackwater River Bioreserve Strategic Plan. Draft 6-10- 94. Maryland Nature Conservancy, Chevy Chase, MD. Peterjohn, W.T and D.L. Correll. 1984. Nutnent dynamics in an agncultural watershed Observations on the role of a npanan forest. Ecology 65:1466-1475. Peterjohn, W T. and D.L. Correll. 1986. The effect of riparian forest on the volume and chemical composition of baseflow in an agricultural watershed. Pages 244-262 In D.L Correll, ed Watershed Research Perspectives. Smithsonian Institution Press, Washington, D.C. Phillips, P.J., J.M. Denver, R.J. Shedlock, and P.A. Hamilton. 1993. Effect of forested wetlands on nitrate concentrations in groundwater and surface water on the Delmarva Peninsula. Wetlands 13: 75-83 Rheinhardt, R.D., M.M. Brinson, and P.M. Farley. 1997. Applying reference wetland data to functional assessment, mitigation, and restoration. Wetlands 17: 195-215. Rheinhardt, R.D., M.C. Rheinhardt, and M.M. Brinson. In review. A Regional Guidebook for Applying the Hydrogromorphic Approach to Wet Pine Flats on Mineral Soils in the Atlantic and Gulf Coastal Plains. Smith, R.D., A. Ammann, C. Bartoldus, and M M. Brinson. 1995. An Approach for Assessing Wetland Functions Using Hydrogeomorphic Classification, Reference Wetlands, and Functional Indices. Wetlands Research Program Technical Report WRP-DE-9. U.S. Army Corps of Engineers Waterways Expenmental Station, Vicksburg, MS Tiedje, J. M., S. Simkins, and P.M. Groffman. 1989. Perspectives on measurement of denitnfication in the field including recommended protocols for acetylene based methods. Plant Soil 115:261-284. liner, R.W. 1985. Wetlands of Delaware. U.S. Fish and Wildlife Service, National Wetlands Inventory, Newton Corner, MA and Delaware Department of Natural Resources and Environmental Control, Wetlands Section, Dover, DE. Cooperative Publication. 10 ------- Tiner, R.W. and D.G. Burke. 1995. Wetlands of Maryland. U S. Fish and Wildlife Service, Ecological Services, Region 5, Hadley, MA and Maryland Department of Natural Resources, Annapolis, MD Cooperative Publication. Weller, D.E., D.L. Correll, and T E. Jordan 1994 Denitnfication in npanan forests receiving agricultural runoff Pages 117-132 In W.J. Mitch, ed. Global Wetlands. Elsevier, NY. Yoshinan, T., R. Hynes, and R. Knowles. 1977. Acetylene inhibition of nitrous oxide reduction and measurement of denitnfication and nitrogen fixation in soil. Soil Biology amd Biochemistry 9:177-183 11 ------- |