This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979), which represents a biological definition of wetlands and deepwater habitats. There is no attempt to define the limits of proprietary jurisdiction of any Federal, State, or local government, or to establish the geographical scope of the regulatory programs of government agencies. Some wetland habitats may be under represented or excluded in certain areas because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters and also some deepwater reef communities (coral or tuberficid worm reefs). These habitats, because of their depth and water clarity, go undetected by most aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project boundaries, specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.

This data set contains rate of shoreline change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using historical vector shoreline data from the National Oceanic and Atmospheric Administration (NOAA). Rate of change statistics were calculated using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0. End-point rates, presented here, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines were available. Linear regression rates, determined by fitting a least-squares regression line to all shoreline points for a particular transect, were used in areas where three or more shorelines were present. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing intersection measurement points, which were then used to calculate the rates.

The Biodiversity Wetland map layers can’t be relied on to determine wetland presence/absence or extent with certainty given they are an incomplete data set, wetlands have been mapped with varying accuracy and reflect a snapshot in time and wetland extent can vary over time. We strongly recommend getting qualified advice on the presence and extent of wetlands if there is any uncertainty.Layers in this Wetland Dataset:Top 150 - Details the locations of the 'Top 150' (although there are more polygons, due to multipart polygons and additions) most important wetlands in Northland as at August 2018. (Wildlands)Heathlands - Dataset of known pakihi and gumlands in Northland. This dataset is not complete, but features all known locations as at August 2018. This was an original NRC dataset that was added to during the Wildlands Heathland project. (NRC and Wildlands)Saltmarsh and Mangrove Area - Saltmarsh and Mangrove cover in Northland.Known Wetlands - Master dataset of the known, mapped wetlands in Northland as at August 2018. This dataset is not complete, but features all known wetlands mapped at varying levels of accuracy. The dataset was put together from a variety of sources including the top 150 wetlands from wildlands, ground truthing and analysis of soil type and aerial imagery. (DOC and NRC)

This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. This subset, for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America, retains all five arrays at the 1-degree resolution but only for the area of interest (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N). The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats.The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate.The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov].

This repository contains three datasets resulting from the reconstruction of global wetland loss over 1700-2020. The three datasets are listed here and described in more detail below: A. National and subnational statistics of drained or converted areas B. Regional wetland percentage loss estimates and geospatial polygons C. Gridded reconstruction The scripts used to process input data, model and calibrate the wetland loss reconstruction, and produce the figures are publicly available at https://github.com/etiennefluetchouinard/wetland-loss-reconstruction. A. National and subnational statistics of drained or converted areas This tabular database containing national and subnational statistics of wetland area drained and peat mass extracted. The database includes four land use types: cropland, forestry, peat extraction and wetland cultivation. These data are used as input to the mapped wetland loss reconstruction. Column descriptions of drainage_db_v10.csv: unit: Scale of administrative unit ("national" or "subnational"). type: Land use type ("Cropland", "Forestry", "Peat Extraction" or "Wetland Cultivation") iso_a3: 3-letter code of each country. region: Name of subnational unit. Blank if data is national scale. HASC_1: Hierarchical Administrative Subdivisions Codes for the subnational units. Blank if data is national scale. year: Year of data. drained_area_1000ha: Cumulative area drained by the year specified, in thousands of hectares. drained_weight_1000tonsyr: Annual peat extraction rate for the year, in thousand tons per year. peatland_only: Label indicating whether the drained area applies to all wetlands or peatlands specifically ("Peatland only" or blank). Comment: Additional description from original data source, or unit conversion, or data corrections. Source: Reference of data source and/or compilers. B. Regional wetland percentage loss estimates and geospatial polygons A shapefile of 151 polygons projected in WGS84. Columns description for polygon shapefile of the regional wetland loss percentage: regional_loss_poly.shp: id: Numerical identifier. name: Name of administrative unit, region or water feature the polygon area covers. country: Name of country. continent: Name of continent. wet_categ: Broad category of wetlands included in the estimate (“Peatlands”, “Inland natural wetlands”, “Coastal natural wetlands”, “Unspecified natural type(s)” or “All wetlands”). yr_start: Start year of the period over which wetland loss is estimated. yr_end: End year of the period over which wetland loss is estimated. area_mkm2: Surface area of the polygon, in million square kilometers (Mkm2). perc_loss: Numerical value of percentage wetland loss (positive value represent loss of wetland area between start and end year. comment: Additional description of estimate used or estimation method. source: Citation of original data source. compiler: Citation of intermediary data compiler. C. Gridded reconstruction Gridded outputs are stored in a separate NetCDF file for each of the 12 reconstructions of simulated wetland and present-day wetland maps. An ensemble average was also computed from the 12 reconstructions (only individual reconstructions were discussed in the manuscript). These data consist of global maps generated from the drainage reconstruction methodology for 33 decadal intervals (1700-2020 inclusive) for 9 variables: The filenames of ensemble members are labelled to with the name of the input present-day and simulated wetland maps: “wetland_loss_1700-2020_” + simulated input + “_” + present-day input + “_v10.nc” The 4 simulated wetland map inputs are: LPJwsl, SDGVM, ORCHIDEE, DLEM. The 3 present-day wetland map inputs are: GIEMSv2, GLWD3, WAD2M. Description of the 9 variables in each NCDF file: wetland_loss: Cumulative wetland area lost (km2 per grid cell). This variable is equivalent to the sum of area drained for the seven land uses drained nat_wetland: Remaining natural wetland area (km2 per grid cell) cropland: Cropland area drained (km2 per grid cell) leading to wetland loss forestry: Forestry area drained (km2 per grid cell) leading to wetland loss peatextr: Peat harvest area drained (km2 per grid cell) leading to wetland loss wetcultiv: Wetland cultivation area (km2 per grid cell) leading to wetland loss ir_rice: Irrigated rice area leading to wetland loss (km2 per grid cell) pasture: Pasture area drained leading to wetland loss (km2 per grid cell) urban: Urban area drained leading to wetland loss (km2 per grid cell) All layers were capped below the land pixel area grid (from HYDE 3.2, excl. open water). Time: 33 slices; numerical years spread at decadal intervals, ranging between 1700-2020 (inclusive) Extent: Longitude: -180° to 180°. Latitude: -56° to 84°. See the README file for a more detailed description of this dataset. Anyone wishing to use this dataset should cite Fluet-Chouinard et al. 2023. Please contact Etienne Fluet-Chouinard at etienne.fluet@gmail.com with any questions or comments with regards to the best usage of our dataset. Fluet-Chouinard E., Stocker B., Zhang Z., Malhotra A., Melton J.R., Poulter B., Kaplan J., Goldewijk K.K., Siebert S., Minayeva T., Hugelius G., Prigent C., Aires F., Hoyt A., Davidson N., Finlayson C.M., Lehner B., Jackson R.B., McIntyre P.B. Nature. Extensive global wetland loss over the last three centuries

The national wetland inventory (VMI) has for 25 years made inventories of Swedish wetlands that are situated below the mountain range. Wetlands have been defined in VMI as: "Land where water, for a large part of the year, is close to, in or above the ground, as well as vegetation-covered water areas. At least 50% of the vegetation should be hydrophilic, i.e. moisture loving, in order for it to be called a wetland area. An exception is sometimes dry-laid bottom areas of lakes, seas and streams. They count as wetlands even though they lack vegetation. "

In total, VMI has invented 35,000 sites with a total area of 4.3 million hectares, which corresponds to 10% of Sweden's total land area. The purpose of the inventories has been to create a knowledge bank over the country's wetlands, which can be used for environmental monitoring and natural resource planning. By examining how and in what range wetlands are affected by human activities and by identifying valuable wetlands, their values can be preserved for the future. Inventory data was also planned to provide a basis for the authorities' handling of e.g. land drainage and logging.

For practical reasons inventories has only been performed at larger wetlands below the mountain ranges. In northern Sweden inventories took place at all wetlands larger than 50 ha and in all wetlands in southern Sweden wetlands larger than 10 ha. All inventoried wetlands have been analyzed with aerial photos and remote sensing and has been classified according to the status of the nature values. A total of 12% of wetlands have also been visited in order to provide further knowledge. Based on the remote sensing, all wetlands were classified into one of the 47 different wetland types. Based on the spatial extent of wetland types, we have divided Sweden into five different marsh/bog-regions: Fell bog, Palsa bog, String bog, Raised bog and Pine bog/Beach wetland bog.

The results of the VMI are regularly used by county administrative boards and municipalities and have been an important tool for national protection of wetlands. The regional inventories have been made by the various county administrative boards and the Swedish Environmental Protection Agency has acted as coordinator for the project.

The digital data contains the delimitation of the VMI areas, a central coordinate and an ID (LOID). Via ID, you can extract data from access databases with information about species inventoried. More information on the project can be found at http://www.naturvardsverket.se/Om-Naturvardsverket/Publikationer/ISBN/5900/978-91-620-5925-5/.

This data set contains vector polygons representing the coastal wetlands for Virginia, classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI data for Virginia. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three mai...

Open the Data Resource: https://www.fws.gov/program/national-wetlands-inventory/wetlands-data The National Wetlands Inventory Data Layer is the product of over 45 years of work by the National Wetlands Inventory (NWI) and its collaborators and currently contains more than 35 million wetland and deepwater features. This dataset, covering the conterminous United States, Hawaii, Puerto Rico, the Virgin Islands, Guam, the major Northern Mariana Islands and Alaska, continues to grow at a rate of 50 to100 million acres annually as data are updated. The data layer is updated twice a year and these changes are reflected on the mapper and in the data downloads. Wetlands map services are available at https://fwspublicservices.wim.usgs.gov/wetlandsmapservice/rest/services/Wetlands/MapServer

In 2016 NYC Parks contracted with the UVM Spatial Analysis Lab to use modern remote sensing and object-based image analysis to create a new wetlands map for New York City. Data inputs include Light Detection and Ranging Data, State and Federal Wetland Inventories, soils, and field data. Because the map was conservative in its wetlands predictions, NYC Parks staff improved the map through a series of desktop and field verification efforts. From June to November 2020, NYC Parks staff field verified the majority of wetlands on NYC Parks' property.

The map will be opportunistically updated depending on available field information and delineations. Another dedicated field verification effort has not been planned. As of June 2021, no subsequent updates to the data are scheduled.

Original field names were updated to field names that are easier to understand.

This dataset was developed to increase awareness regarding the location and extent of wetlands to promote restoration and conservation in New York City. This map does not supersede U.S. Fish and Wildlife Service National Wetlands Inventory (NWI) and New York State Department of Environmental Conservation (NYSDEC) wetlands maps and has no jurisdictional authority. It should be used alongside NWI and NYSDEC datasets as a resource for identifying likely locations of wetlands in New York City. Mapped features vary in the confidence of their verification status, ranging from "Unverified" (meaning the feature exists in its original remotely mapped form and has not been ground truthed) to "Verified - Wetland Delineation" (meaning the boundaries and type of wetland have been verified during an official wetland delineation). Because of the rapid nature of the protocol and the scale of data collection, this product is not a subsitute for on-site investigations and field delineations. The dataset also includes broad classifications for each wetland type, e.g. estuarine, emergent wetland, forested wetland, shrub/scrub wetland, or water. Cowardin classifcations were not used given rapid verfication methods.

The accuracy of the wetlands map has improved over time as a result of the verification process. Fields were added over time as necessitated by the workflow and values were updated with information, either from the field verifications, delineation reports, or desktop analysis.

OBJECTID, Shape, Class_Name_Final, Verification_Status, Create_Date, Last_Edited_Date, Verification_Status_Year, SHAPE_Length, SHAPE_Area

https://www.nycgovparks.org/greening/natural-resources-group

Data Dictionary: https://docs.google.com/spreadsheets/d/1a45qCho45MV-AuOlGxyaRp0cg3cRFKw4lAYBIaU3zi4/edit#gid=260500519

Map: https://data.cityofnewyork.us/dataset/NYC-Wetlands/7piy-bhr9

For more information, see the Terrestrial Significant Habitats Factsheet at https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150834. The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see https://www.wildlife.ca.gov/Data/Analysis/ACE and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326.

The Geomorphic Wetlands dataset describes the wetlands of the Swan Coastal Plain representing two main aspects, physical classification and environmental evaluation. The data set is updated quarterly. If information regarding this data is required please contact DBCA: Principal Coordinator Wetlands: 9219 8714

This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. The subset retains all five arrays at the 1-degree resolution but only for the area of interest. The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats. The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate. The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov]. More information can be found at: ftp://daac.ornl.gov/data/safari2k/vegetation_wetlands/giss_wetlands/comp/matt_fung_readme.pdf.

Wetlands Wetlands provide a multitude of ecological, economic and social benefits. They provide habitat for fish, wildlife and plants - many of which have a commercial or recreational value - recharge groundwater, reduce flooding, provide clean drinking water, offer food and fiber, and support cultural and recreational activities. Unfortunately, over half of America’s wetlands have been lost since 1780, and wetland losses continue today. This highlights the urgent need for geospatial information on wetland extent, type, and change. The National Wetlands Inventory The US Fish and Wildlife Service (FWS) is the principal US Federal agency tasked with providing information to the public on the status and trends of our Nation's wetlands. The US FWS National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics, and distribution of US wetlands. NWI data are used by natural resource managers, within the US FWS and throughout the Nation, to promote the understanding, conservation and restoration of wetlands. Resources in this dataset:Resource Title: National Wetlands Inventory. File Name: Web Page, url: https://www.fws.gov/program/national-wetlands-inventory

This is a polygon coverage representing the wetlands cited in the "A Directory of Important Wetlands in Australia" Third Edition (EA, 2001), plus various additions for wetlands listed after 2001. This dataset includes attribute information showing the wetlands type and criteria for listing for each wetland. This coverage is a compilation of various data sources and has been collected using a variety of methods. This dataset should therefore be used as an indicative guide only to wetland boundaries and locations. The data has been collated by the Australian Government Department of the Environment from various datasets including those supplied by the relevant State agencies. State agency contributors include the Queensland Environmental Protection Authority, NSW Department of Environment and Conservation and the Victorian Department of Sustainability and Environment. For the identification of wetland boundaries or locations in regard to the compliance of activities with relevant State legislation, the relevant State authority should be contacted to obtain the most recent and accurate wetland boundary information available. The criteria for the definition of a wetland used in this dataset is that adopted by the Ramsar Convention, namely: "areas of marsh, fen, peatland or water, whether natural or artificial, permanent or temporary, with water that is static or flowing, fresh, brackish or salt, including areas of marine water the depth of which at low tide does not exceed six meters." Attributes in the dataset include: WNAME: the name of the wetland site as listed in the Directory. REFCODE: an individual reference number including a cross reference to the State in which it occurs. The first 2-3 characters relate to the State or Territory of origin followed by the 3 digit sequential wetland numeric code. (eg. "NSW001": NSW=New South Wales; 001=wetland number). WET_TYPE: The wetland type code. Definitions are shown below. CRITERIA: The criteria for listing code. Definitions are shown below. WETLAND TYPE CODES: A-Marine and Coastal Zone wetlands 1. Marine waters-permanent shallow waters less than six metres deep at low tide; includes sea bays, straits 2. Subtidal aquatic beds; includes kelp beds, seagrasses, tropical marine meadows 3. Coral reefs 4. Rocky marine shores; includes rocky offshore islands, sea cliffs 5. Sand, shingle or pebble beaches; includes sand bars, spits, sandy islets 6. Estuarine waters; permanent waters of estuaries and estuarine systems of deltas 7. Intertidal mud, sand or salt flats 8. Intertidal marshes; includes saltmarshes, salt meadows, saltings, raised salt marshes, tidal brackish and freshwater marshes 9. Intertidal forested wetlands; includes mangrove swamps, nipa swamps, tidal freshwater swamp forests 10. Brackish to saline lagoons and marshes with one or more relatively narrow connections with the sea 11. Freshwater lagoons and marshes in the coastal zone 12. Non-tidal freshwater forested wetlands B-Inland wetlands 1. Permanent rivers and streams; includes waterfalls 2. Seasonal and irregular rivers and streams 3. Inland deltas (permanent) 4. Riverine floodplains; includes river flats, flooded river basins, seasonally flooded grassland, savanna and palm savanna 5. Permanent freshwater lakes (more than 8 ha); includes large oxbow lakes 6. Seasonal/intermittent freshwater lakes (more than 8 ha), floodplain lakes 7. Permanent saline/brackish lakes 8. Seasonal/intermittent saline lakes 9. Permanent freshwater ponds ( 8 ha) 10. Ponds, including farm ponds, stock ponds, small tanks (generally

This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Trust Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats may be excluded because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition.The U.S. Fish and Wildlife Service (Service) is the principal Federal agency that provides information to the public on the extent and status of the Nation's wetlands. The Service's strategic plan for our vast national wetland data holdings is focused on the development, updating, and dissemination of wetlands data and information to Service resource managers and the public.For more information visit: https://www.fws.gov/wetlands/index.htmlView Wetlands Data on the Wetlands Mapper at: https://www.fws.gov/wetlands/Data/Mapper.htmlWetlands Web Services are available at: https://www.fws.gov/wetlands/Data/Web-Map-Services.htmlWetlands Data available as a KML at: https://www.fws.gov/wetlands/Data/Google-Earth.htmlWetlands Data Downloads available at: https://www.fws.gov/wetlands/Data/Data-Download.htmlWetland Data Standards available at: https://www.fws.gov/wetlands/Data/Data-Standards.html

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

National dataset of Australia's Ramsar Wetlands.

The Convention on Wetlands of International Importance (the Ramsar Convention) was signed in Ramsar, Iran on 2 February 1971. The Ramsar Convention aims to halt the worldwide loss of wetlands and to conserve, through wise use and management, those that remain. The Convention encourages member countries to nominate sites containing representative, rare or unique wetlands, or that are important for conserving biological diversity, to the List of Wetlands of International Importance (Ramsar sites). Australia was one of the first countries to become a Contracting Party to the Convention and designated the world's first Ramsar site, Cobourg Peninsula, in 1974.

This project was initiated by the Wetlands Section of the Australian Government Department of the Environment. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.

Credit:

(c) Commonwealth of Australia, Department of Environment with data compiled through cooperative efforts of the States/Territories Government wetland agencies.

April 2015.

Credit:

ACT Government, Environment and Planning Directorate,

Credit:

NSW Office of the Environment and Heritage,

Credit:

NT Department of Land Resource Management,

Credit:

Qld Department of Department of Environment and Heritage Protection,

Credit:

SA Department of Environment, Water and Natural Resources,

Credit:

Tas Department of Primary Industries, Parks, Water and Environment,

Credit:

Vic Department of Environment and Primary Industries,

Credit:

WA Department of Environment and Conservation.

Purpose

This project was initiated by the Wetlands Section of the Australian Government Department of the Environment. Spatial data was sourced from the relevant State and Territory agencies and compiled into a single national coverage.

Dataset History

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

This dataset is a polygon dataset which amalgamates spatial boundaries provided by data custodians to produce a national dataset

Data received from each State or Territory were compiled by ERIN and verified by the Wetlands Section of the Australian Government Department of the Environment.

The boundaries are supplied by the custodian States and Territories, no alterations have been made to boundaries except for datum/projection transformations.

Note: The data in the final coverage contains data captured from different sources including Satellite imagery, orthophoto, digitising 1:100 000 maps and smaller scale. SOURCE field contains general description of input data source.

Data were compiled using ArcGIS software.

Updates

Gwydir - Windella boundary updated (5/12/06) from NSW NPWS map file coordinates (ruled in court case to be the legal boundary). Coordinates were provided in AGD66 and projected to GDA94 using the AGD_1966_To_GDA_1994_4 transform.

December 2006 - updated attribute table to include juresdiction, total_site_area_ha and designation_date fields.

November 2007 - Paroo River Wetlands added as 65th site.

April 2009 - Complete update of NSW boundaries with INTERIM boundaries supplied by NSW DECC on 13/3/09. All NSW boundaries were replaced by the boundaries in the supplied dataset. This is for use internally until final boundaries supplied by DECC. Note that the designation date of Lake Pinaroo was incorrect and was changed by DEWHA with permission from DECC. Detailed information on the changes at each site are included in the data supplied by the custodian.

May 2009 - Complete update of VIC boundaries with data provided by DSE. Only boundary changes are to Western Port and Port Phillip Bay and Bellarine Peninsula which were updated with improved mapping.

April 2010 - NSW boundaries updated with revised boundaries from NSW DECC. Shortlands within Hunter Estuary, and Goddard's Lease in Gwydir were surveyed by consultants and have been updated.

April 2010 - Marine boundaries were updated as a result of boundary review to align with the Marine Parks. Minor changes only (datum errors have been corrected).

June 2010 - Kakadu National Park, Hosnies Spring and Pulu Keeling National Park updated. Kakadu National Park was merged from two sites into one; datum errors in Hosnies Spring have been corrected and Pulu Keeling updated to represent the National Park boundary.

June 2010 - WA boundaries replaced with boundary dataset from WA DEC to ensure consistency. Minor data processing changes only (generally less than 4m).

October 2010 - Kakadu National Park, Hosnies Spring and the Dales updated. An error was found in the CAPAD boundaries for these, so they have been updated with new boundaries supplied by Parks.

November 2010 - All Tasmanian Ramsar Wetland boundaries were updated following the provision of new data from the state. Further changes were made in late November with new data being obtained for Apsley Marshes and Moulting lagoon.

June 2011 - Victorian boundaries updated for all sites with the exception of Western Port and Port Phillip Bay and Bellarine Peninsula which were updated in May 2009.

June 2011 - Coorong boundary updated with data provided by South Australian DEH.

July 2011 - Hattah-Kulkyne updated with new data provided by Vic DSE. The new boundary is based on aerial photography to interpret the high water mark of the lake extent.

July 2011 - Ginini Flats updated with new boundary from ACT Department of Territory and Municipal Services.

September 2013 - Piccaninnie ponds added from data provided by SA Department for Environment and Heritage.

Quality

Scope: Dataset

External accuracy:

Variable due to numerous sources

Non Quantitative accuracy:

100%, unique Refcode being the important item.

Conceptual consistency:

No information provided beyond normal procedures for compiling GIS data.

Completeness omission:

Complete

Dataset Citation

Department of the Environment (2015) Ramsar Wetlands of Australia. Bioregional Assessment Source Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/d65cc156-944d-4961-bfba-eacfd61db63a.

This data set contains baselines used to calculate shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed in ArcMap 10.5.1 using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, and polyline vector historical shorelines from the National Oceanic and Atmospheric Administration (NOAA) . The baselines used in the analysis serve as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing intersection measurement points, which were then used to calculate the rates. U.S. Fish and Wildlife National Wetland Inventory polygon vector data provided extents of coastal wetland boundaries, and determined where baselines were drawn. Baselines were then constructed parallel to NOAA shoreline vectors. Baselines were manually created using standard ArcMap 'Create Features' tools, and do not represent real-world features.

This data set represents the extent, approximate location and type of estuarine and marine wetland habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979), which represents a biological definition of wetlands and deepwater habitats. There is no attempt to define the limits of proprietary jurisdi...

Wetlands support high levels of biodiversity. They provide habitat for native invertebrates, plants, fish, and bird species (eg fernbird, kōkopu, and eels), many of which live only in wetlands. Wetlands act as ‘kidneys’ and giant sponges – they clean the water of excess nutrients and sediment, control flood water and pollutants, and act as carbon sinks (removing carbon dioxide from the atmosphere). Wetlands have strong cultural and spiritual importance for Māori. They are a food source (eg eel, whitebait) and provide material for weaving (eg raupō, harakeke (flax)). Draining wetlands for agricultural and urban development over the past 150 years has led to significant wetland loss and deterioration.

Summary report available at http://www.mfe.govt.nz/publications/fresh-water/analysis-of-wetland-loss-between-200102-and-201516

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.