Description: 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). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program 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. 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 specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries.
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Description: As a part of the assessment, subwatersheds and catchments are evaluated based on the presence and extent of several ecological indicators such as percent canopy cover, impervious surface, erosion risk, etc., that contribute to the health of the associated streams. While evidence suggests the nature of upland habitat contributes to stream health, the condition of the habitat in the riparian zone has a more direct impact.To evaluate just the quality of the riparia habitat, seperate from the condition of the subwatershed overall, we developed a set of riparian buffers to delinate the boundaries of this zone. Buffers were based on the NHD High Resolution Flowlines data set, using the Riparian Buffer Delineation Model and associated methods, developed by Ann Maclean and Sinan Abood: http://www.sfi.mtu.edu/muses/GIS_Riparian.htmFor more information on the Riparian Opportunity Assessment project and the methods used, please refer to the website: http://nynhp.org/trees4tribsny
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Description: Field NameField DescriptionIDAutonumber IDFieldIDBarrier ID as entered in the fieldUniqueIDBarrier ID corrected to match original dataFlowDescDescirption of the Flow of streamFlowIDCode for FlowSURDATEDate of Survey visitOBSERVERName of FieldRdSurfIDRoad Surface descriptionRdSurfRoad surface codeCrossTypeIDCrossing Type descriptionCrossTypeCrossing Type codeCrossNumberNumber of CrossingsCrossCondIDCondition of Crossing ID valueCrossConditionCondition of Crossing descriptionCrossSupportFishWill crossing support fish?StreamFlowingIs stream flowing?StructureHeightStructure Height at low waterStructureHeightMWas height a measurement or estimateCrossSubstrateIDCrossign substrate IDCrossSubstrateCrossing substrate descriptionPhyBarrier2WLPhysical Baarrier to WildlifePhyBarrier2FishPhysical Barrier to FishPhyBarrierDescPhysical Barrier desciptionInletDropInlet drop in feetInletDropMMeasured or estimatedUSCrossingTypeIDUpstream Crossing type codeUSCrossingTypeUpstream Crossing Type descriptionUPDIMAUpstream dimensions ftUPDIMBUpstream dimensions ftUPDIMCUpstream dimensions ftUPDIMDUpstream dimensions ftUPCrossSubmergedUpstream crossing submerged?SWWUP1Upstream wetted width 1 ftSWWUP2Upstream wetted width 2 ftSWWUP3Upstream wetted width 3 ftSBFUP1Upstream bankfull 1 ftSBFUP2Upstream bankfull 2 ftSBFUP3Upstream bankfull 3 ftSDUP1Upstream depth 1 ftSDUP2Upstream depth 2 ftSDUP3Upstream depth 3 ftZOIUPZone of influence upstreamUSScourPoolUpstream Scour pool - None, Small, LargeOutDropSurfaceOutlet drop to water surface - feetOutDropSurfaceMMeasured or estimatedOutDropSBedOutlet drop - culvert bottom to stream bed - feetOutDropSBedMMeasured or estimatedOutletDropIDOutlet type IDOutletDropType of outlet dropArmoredSBedOutletArmored streambed at outletCrossEmbedIDCrossing embedded codeCrossEmbededCrossing embedded descriptionDSCrossingTypeIDDownstream crossing type codeDSCrossingTypeDownstream crossing type descriptionDNDIMADownstream dimensions ftDNDIMBDownstream dimensions ftDNDIMCDownstream dimensions ftDNDIMDDownstream dimensions ftDSCrossSubmergedDownstream crossing submerged?SWWDWN1Downstream wetted width 1 ftSWWDWN2Downstream wetted width 2 ftSWWDWN3Downstream wetted width 3 ftSBFDWN1Downstream bankfull 1 ftSBFDWN2Downstream bankfull 2 ftSBFDWN3Downstream bankfull 3 ftSDDWN1Downstream depth 1 ftSDDWN2Downstream depth 2 ftSDDWN3Downstream depth 3 ftZOIDWNZone of influence downstreamDSScourPoolDownstream Scour pool - None, Small, LargePPoolDepthPlunge Pool DepthNoPoolPlunge Poll No PoolPPoolWidthPlunge Pool WidthDepthInCulvertUSDepth in culvert upstream ftDepthInCulvertDSDepth in culvert downstream ftWettedWidthCulvertWetted Width in Culvert ftStreamLnthCrossingLength of stream through crossing - feetCrossingSpanIDCrossing span IDCrossingSpanCrossing span descritionDepthMatchStreamIDCrossing span - water depth matches stream codeDepthMatchStreamCrossing span - water depth matches stream descriptionVelocityMatchStreamIDCrossing span - velocity matches stream codeVelocityMatchStreamCrossing span - velocity matches stream desciptionSlopeMatchStreamIDCrossing span - slope matches stream codeSlopeMatchStreamCrossing span - slope matches stream descriptionAlignMatchStreamIDCrossing span - crossing alignment matches stream codeAlignMatchStreamCrossing span - crossing alignment matches steam descriptionCrossingCommentsCrossing span CommentsDamTypeIDDam type IDDamTypeDam type descriptionDamMaterialIDDam Material IDDamMaterialDam Material descriptionDamConditionIDDam Condition IDDamConditionDam Condition descriptionDamHeightDam height feetDamLengthDam length feetDamFishStructureIs there existing fish structureDZOIDam zone of influence feetDamCommentsDam commentsBarrierCalculation1BarrierCalculation2Final_RankUTMEastingUTM East coordinate valueUTMNorthUTM North coordinate value
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Description: The base data set used in this forest fragmentation analysis is the 2010 C-CAP Land Cover Analysis (http://http://coast.noaa.gov/ccapftp/). Land cover categories that were considered 'forest' for this analysis include Deciduous Forest, Evergreen Forest, Mixed Forest, Estuarine Forested Wetland, and Palustrine Forested Wetland. Two buffered roads layers were erased from the forest polygons, in order to approximate the fragmenting effect of roads on the landscape. Because the area of interest crosses the boundaries of multiple states, the ESRI North America Detailed Streets layer (http://www.arcgis.com/home/item.html?id=f38b87cc295541fb88513d1ed7cec9fd) was used. Two selections of the roads data were extracted and buffered: Interstate roads were buffered 150 feet from the center line in both directions, while US, State, and County roads were buffered 33 feet from the center line. The final data set is limited to forest patches falling within a 5 mile radius of either the Hudson River Estuary watershed boundary or the 10 counties of New York's Hudson Valley.The accompanying symbology layer divides forests into four size classes following the Orange County Open Space Plan (Orange County Planning Department 2004): Globally important (greater than 15,000 acres). These large and intact forest ecosystems support characteristic, wide-ranging, and area-sensitive species, especially those that depend on interior forest. Globally important forests are large enough so over time they will express a range of forest successional stages including areas that have been subjected to recent large-scale disturbance such as blowdowns and fire, areas under recovery, and mature areas. These forests also provide sufficient area to support enough individuals of most species to maintain genetic diversity over several generations. Regionally important: (6,000 - 14,999 acres). Patches 6,000 acres and greater provide habitat to more area-sensitive species and can accommodate large-scale disturbances that maintain forest health over time. Smaller patches are often less able to maintain the entire range of needed habitats and successional stages after large-scale disturbances. Locally important: 2,000 – 5,999 acres). These smaller but locally important forest ecosystems often represent the lower limit of intact, viable forest size for forest-dependent birds. Such bird species often require 2,500 to 7,500 acres of intact interior habitat. These forests, like the larger regionally important forests, can also provide important corridors and connectivity among forest ecosystems. Stepping stone forests: (200 – 1,999 acres) These examples of smaller forest ecosystems provide valuable, relatively broad corridors (not just a narrow strip) and links to larger patches of habitat such as local, regional, and global forests. These smaller forests, therefore, enable a large array of species, including wide-ranging and area-sensitive species, to move from one habitat to another across an otherwise hostile and fragmented landscape. They also provide important habitat at key times during many animals’ life cycles. These forests should be considered the absolute minimum size for intact forest ecosystems. Forests as small as 200 acres will support some forest interior bird species, but several may be missing, and species that prefer “edge” habitats will dominate. Forest patches less than 200 acres have lesser ecological significance at the landscape scale and were excluded from the symbology layer, However, smaller forests may have local importance, and can be viewed by changing the symbology settings.
Service Item Id: cec3647ea5de441999539a16010aab9e
Copyright Text: Cornell University Department of Natural Resources 2014. This Project was funded by the New York State Environmental Protection Fund through the Hudson River Estuary Program of the New York State Department of Environmental Conservation.
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Description: Local Connectedness estimates the degree of connectedness of a cell with its surroundings within a three km radius. The method used to map local connectedness for the region was resistant kernel analysis, developed and run by Brad Compton using software developed by the UMASS CAPS program (umasscaps.org). The theoretical spread of a species or process outward from a focal cell is a function of the resistance values of the neighboring cells and their distance from the focal cell out to a maximum distance of three kilometers.The values for this dataset are standardized normalized. A mean score is 0, +1000 is one standard deviation +2000 is two standard deviations, -2000 is negitive two standard deviations.
Service Item Id: cec3647ea5de441999539a16010aab9e
Copyright Text: The Nature Conservancy, Eastern Division, 2012. For more information contact: Melissa_Clark@tnc.org
Description: The base data set used in this forest fragmentation analysis is the 2010 C-CAP Land Cover Analysis (http://http://coast.noaa.gov/ccapftp/). Land cover categories that were considered 'forest' for this analysis include Deciduous Forest, Evergreen Forest, Mixed Forest, Estuarine Forested Wetland, and Palustrine Forested Wetland. Two buffered roads layers were erased from the forest polygons, in order to approximate the fragmenting effect of roads on the landscape. Because the area of interest crosses the boundaries of multiple states, the ESRI North America Detailed Streets layer (http://www.arcgis.com/home/item.html?id=f38b87cc295541fb88513d1ed7cec9fd) was used. Two selections of the roads data were extracted and buffered: Interstate roads were buffered 150 feet from the center line in both directions, while US, State, and County roads were buffered 33 feet from the center line. The final data set is limited to forest patches falling within a 5 mile radius of either the Hudson River Estuary watershed boundary or the 10 counties of New York's Hudson Valley.The accompanying symbology layer divides forests into four size classes following the Orange County Open Space Plan (Orange County Planning Department 2004): Globally important (greater than 15,000 acres). These large and intact forest ecosystems support characteristic, wide-ranging, and area-sensitive species, especially those that depend on interior forest. Globally important forests are large enough so over time they will express a range of forest successional stages including areas that have been subjected to recent large-scale disturbance such as blowdowns and fire, areas under recovery, and mature areas. These forests also provide sufficient area to support enough individuals of most species to maintain genetic diversity over several generations. Regionally important: (6,000 - 14,999 acres). Patches 6,000 acres and greater provide habitat to more area-sensitive species and can accommodate large-scale disturbances that maintain forest health over time. Smaller patches are often less able to maintain the entire range of needed habitats and successional stages after large-scale disturbances. Locally important: 2,000 – 5,999 acres). These smaller but locally important forest ecosystems often represent the lower limit of intact, viable forest size for forest-dependent birds. Such bird species often require 2,500 to 7,500 acres of intact interior habitat. These forests, like the larger regionally important forests, can also provide important corridors and connectivity among forest ecosystems. Stepping stone forests: (200 – 1,999 acres) These examples of smaller forest ecosystems provide valuable, relatively broad corridors (not just a narrow strip) and links to larger patches of habitat such as local, regional, and global forests. These smaller forests, therefore, enable a large array of species, including wide-ranging and area-sensitive species, to move from one habitat to another across an otherwise hostile and fragmented landscape. They also provide important habitat at key times during many animals’ life cycles. These forests should be considered the absolute minimum size for intact forest ecosystems. Forests as small as 200 acres will support some forest interior bird species, but several may be missing, and species that prefer “edge” habitats will dominate. Forest patches less than 200 acres have lesser ecological significance at the landscape scale and were excluded from the symbology layer, However, smaller forests may have local importance, and can be viewed by changing the symbology settings.
Service Item Id: cec3647ea5de441999539a16010aab9e
Copyright Text: Cornell University Department of Natural Resources 2014. This Project was funded by the New York State Environmental Protection Fund through the Hudson River Estuary Program of the New York State Department of Environmental Conservation.
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Description: We prioritized among examples of the same setting using two categories of physical characteristics that increase resilience. The first, landscape diversity, refers to the number of microhabitats and climatic gradients available within a given area. Landscape diversity is measured by counting the variety of landforms, the elevation range, wetland score, and soil diversity. Because topographic diversity buffers against climatic effects, the persistence of most species within a given area increases in landscapes with a wide variety of microclimates. Local connectedness, the second factor, is defined as the number of barriers and the degree of fragmentation within a landscape. A highly permeable landscape promotes resilience by facilitating range shifts and the reorganization of communities. Resilience Stratified by setting and ecoregion is a 30 meter grid that combines landscape diversity and local connectedness, stratifies the scores by setting and ecoregion, and then applies a regional override (to ensure that a good site isn't penalized by the stratification).
Service Item Id: cec3647ea5de441999539a16010aab9e
Copyright Text: The Nature Conservancy compiled this data set from publicly available data sources and this data is freely distributable without permission from Eastern Division Conservation Science. This data set must be cited on all electronic and hard copy products using the language of the Data Set Credit. The Nature Conservancy shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy. All parties receiving these data must be informed of these restrictions. The Nature Conservancy shall be acknowledged as data contributors to any reports or other products derived from these data.
Description: We prioritized among examples of the same setting using two categories of physical characteristics that increase resilience. The first, landscape diversity, refers to the number of microhabitats and climatic gradients available within a given area. Landscape diversity is measured by counting the variety of landforms, the elevation range, wetland score, and soil diversity. Because topographic diversity buffers against climatic effects, the persistence of most species within a given area increases in landscapes with a wide variety of microclimates. Local connectedness, the second factor, is defined as the number of barriers and the degree of fragmentation within a landscape. A highly permeable landscape promotes resilience by facilitating range shifts and the reorganization of communities. Resilience Stratified by setting and ecoregion is a 30 meter grid that combines landscape diversity and local connectedness, stratifies the scores by setting and ecoregion, and then applies a regional override (to ensure that a good site isn't penalized by the stratification).
Service Item Id: cec3647ea5de441999539a16010aab9e
Copyright Text: The Nature Conservancy compiled this data set from publicly available data sources and this data is freely distributable without permission from Eastern Division Conservation Science. This data set must be cited on all electronic and hard copy products using the language of the Data Set Credit. The Nature Conservancy shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any sale, distribution, loan, or offering for use of these digital data, in whole or in part, is prohibited without the approval of The Nature Conservancy. The use of these data to produce other GIS products and services with the intent to sell for a profit is prohibited without the written consent of The Nature Conservancy. All parties receiving these data must be informed of these restrictions. The Nature Conservancy shall be acknowledged as data contributors to any reports or other products derived from these data.
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