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<resTitle>EC_Ecosystems_Services_NH</resTitle>
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<pubDate>2019-06-19T00:00:00</pubDate>
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<resEd>2.0.14</resEd>
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<otherCitDet>USDA Forest Service, 2019. Forests to Faucets 2.0 [Spatial Dataset.]</otherCitDet>
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<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;Saved from NH DF&amp;amp;L AGOL item on 8/25/25 (item 4de6a80eb2944cb3aced4283bc31b7dfI)(https://services8.arcgis.com/mwZAU6m1MPEVxdIO/arcgis/rest/services/NH_Ecosystem_Services_Map_A/FeatureServer)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Forests to Faucets 2.0 builds upon the national Forests to Faucets(2011) by updating base data and adding new threats including wildfire, invasive pests, and future stresses such as climate-induced changes in land use and water quantity. The purpose of this project is to quantify, rank, and illustrate the geographic connection between forests and other natural cover (private and public), surface drinking water supplies, and the populations that depend on them–the ecosystem service of water supply. The project assesses subwatersheds across the US to identify those important to downstream surface drinking water supplies as well as evaluate a subwatersheds natural ability to produce clean water based on its biophysical characteristics: percent natural cover, percent agricultural land, percent impervious, percent riparian natural cover, and mean annual water yield. Using data from a variety of existing sources and maps generated through GIS analyses, the project uses maps and statistics to describe the relative importance of private forests and National Forest System lands to surface drinking water supplies across the United States. The data produced by this assessment provides information needed to identify opportunities for water market approaches or schemes based upon payments for environmental services (PES).September 2023 Update: Water yields (Q_YLD_MM; PER_Q40_45; PER_Q90_45; PER_Q40_85; PER_Q90_85) were updated to tie back to WASSI source data. All Forests to Faucets models and indices were recalculated. HUCs that did not have a corresponding water yield from WASSI were recalculated to the nearest HUC. AttributeDescriptionSourcesAcresHUC 12 AcresCalculated using ArcGISSTATESStatesWBD 2019HUC1212-digit Hydrologic Unit CodeWBD 2019NAME12-digit Hydrologic Unit NameWBD 2019HUTYPEHUC TypeWBD 2019From_HUC 12 From for routingWBD 2019ToHUC 12 To for routingWBD 2019 (edited by USDA FS)LevelHUC levelCalculated HUC level from outlet (1) to headwater (351)NLCDAcres of NLCDNLCDPER_NLCDPercent of HUC with NLCD DataCalculated using ArcGISFOREST_ACAcres of all forestNLCD Forest = 41,42,43, 90NLCDPER_FORPercent ForestCalculated using ArcGISAG_ACAcres of agricultural landNLCD = 81,82NLCDPER_AGPercent agricultural landCalculated using ArcGISIMPV_ACAcres of ImperviousNLCDPER_IMPVPercent ImperviousCalculated using ArcGISNATCOVER_ACAcres of Natural CoverNLCD = 11,12,41,42,43,51,52,71,90,95NLCDPER_NATCOVPercent Natural CoverCalculated using ArcGISRIPNAT_ACAcres of riparian natural coverSinan AboodPER_RIPNATPercent riparian natural coverCalculated using ArcGISQ_YLD_MM Mean Annual Water Yield in mm (Q) based on the historical time period (1961 to 2015). Baseline water yield for 2010.WASSI , Updated September 2023R_NATCOVNatural Cover score for APCWCalculated using ArcGISR_AGAgricultural land score for APCWCalculated using ArcGISR_IMPVImpervious Surface score for APCWCalculated using ArcGISR_RIPRiparian Natural Cover score for APCWCalculated using ArcGISR_QMean Annual Water Yield score for APCWCalculated using ArcGISAPCWAbility to Produce Clean Water (APCW)= (R_NATCOV+R_AG+R_IMPV+R_RIP) * R_QCalculated using ArcGISAPCW_RAPCW Score (0-100 Quantiles)Calculated using RGWNumber of groundwater water intakesSDWISSWNumber of surface water intakes (includes GU, groundwater under the influence of surface water)SDWISGW_POPNumber of groundwater water consumersSDWISSW_POPNumber of surface water consumers (includes GU, groundwater under the influence of surface water)SDWISGL_IntakesNumber of surface water intakes in the Great Lakes*SDWISGL_POPNumber of surface water consumers in the Great Lakes*SDWISSUM_POPP, Total number of Surface water consumers SW_POP+ GL_POPSDWISPRDrinking water protection model PRn = ∑(Wi* Pi)Calculated using RPOP_DSSum of surface drinking water population downstream of HUC 12 ∑(SUM_POPn) ***Cannot be summed across multiple HUC12 due to double counting down stream populations. Only accurate for an individual HUC12.Calculated using RIMPRaw Important Areas for Surface Drinking Water (IMP) Value. As developed in Forests to Faucets (USFS 2011), the Important Areas for Surface Drinking Water (IMP) model can be broken down into two parts: IMPn = (PRn) * (Qn)Calculated using R, Updated September 2023IMP_RIMP, Important Areas for Surface Drinking Water (0-100 Quantiles)Calculated using R, Updated September 2023NON_FORESTAcres of non-forestPADUS and NLCDPRIVATE_FORESTAcres of private forestPADUS and NLCDPROTECTED_FORESTAcres of protected forest (State, Local, NGO, Permanent Easement)PADUS, NCED, and NLCDNFS_FORESTAcres of National Forest System (NFS) forestPADUS and NLCDFEDERAL_FORESTAcres of Other Federal forest (Non-NFS Federal)PADUS and NLCDPER_FORPRIPercent Private ForestCalculated using ArcGISPER_FORNFSPercent NFS ForestCalculated using ArcGISPER_FORPROPercent Protected (Other State, Local, NGO, Permanent Easement, NFS, and Federal) ForestCalculated using ArcGISWFP_HI_ACAcres with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_WFPPercent of HU 12 with High and Very High Wildfire Hazard Potential (WHP)Dillon, 2018PER_IDRISKPercent of HU 12 that is at risk for mortality - 25% of standing live basal area greater than one inch in diameter will die over a 15- year time frame (2013 to 2027) due to insects and diseases.Krist, et Al,. 2014PERDEV_1040_45% Landuse Change 2010-2040 (low)ICLUSPERDEV_1090_45% Landuse Change 2010-2090 (low)ICLUSPERDEV_1040_85% Landuse Change 2010-2040 (high)ICLUSPERDEV_1090_85% Landuse Change 2010-2090 (high)ICLUSPER_Q40_45% Water Yield Change 2010-2040 (low) WASSI , Updated September 2023PER_Q90_45% Water Yield Change 2010-2090 (low) WASSI , Updated September 2023PER_Q40_85% Water Yield Change 2010-2040 (high) WASSI , Updated September 2023PER_Q90_85% Water Yield Change 2010-2090 (high) WASSI , Updated September 2023WFP(APCW_R * IMP_R * PER_WFP )/ 10,000Wildfire Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023IDRISK(APCW_R * IMP_R * PER_IDRISK )/ 10,000Insect &amp;amp;amp; Disease Threat to Important Surface Drinking Water Watersheds Calculated using ArcGIS, Updated September 2023DEV1040_45(APCW_R * IMP_R * PERDEV_1040_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_45(APCW_R * IMP_R * PERDEV_1090_45)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023DEV1040_85(APCW_R * IMP_R * PERDEV_1040_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023DEV1090_85(APCW_R * IMP_R * PERDEV_1090_85)/ 10,000 Landuse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_45-1 * (APCW_R * IMP_R * PER_Q40_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_45-1 * (APCW_R * IMP_R * PER_Q90_45)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) Calculated using ArcGIS, Updated September 2023Q1040_85-1 * (APCW_R * IMP_R * PER_Q40_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) Calculated using ArcGIS, Updated September 2023Q1090_85-1 * (APCW_R * IMP_R * PER_Q90_85)/ 10,000 Water Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) Calculated using ArcGIS, Updated September 2023WFP_IMP_RWildfire Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023IDRISK_RInsect &amp;amp;amp; Disease Threat to Important Surface Drinking Water Watersheds (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV40_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_45_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023DEV90_85_RLanduse Change in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q40_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2040 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_45_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (low emissions) (0-100 Quantiles)Calculated using R, Updated September 2023Q90_85_RWater Yield Decrease in Important Surface Drinking Water Watersheds 2010-2090 (high emissions) (0-100 Quantiles)Calculated using R, Updated September 2023RegionUS Forest Service Region numberUSFSRegionnameUS Forest Service Region nameUSFSHUC_Num_DiffThis field compares the value in column HUC12(circa 2019 wbd) with the value in HUC_12 (circa 2009 wassi)-1 = No equivalent WASSI HUC. Water yield (Q_YLD_MM) was estimating using the nearest HUC.USFS, Updated September 2023HUC_12_WASSIWASSI HUC numberWASSI, Updated September 2023&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idPurp>Layer showing gradient of ecosystem services based on a equally weighted overlay analysis of 1) Ability to produce clean water 2) Resilient and connected landscapes 3) Wildlife action plan tiered habitats and 4) proximity to conserved or public lands. These data are for use in the NH DF&amp;L Ecosystems Services web map.</idPurp>
<idCredit>USDA Forest Service, 2019. Forests to Faucets 2.0 [Spatial Dataset.]</idCredit>
<idStatus>
<ProgCd value="001"/>
</idStatus>
<idPoC>
<role>
<RoleCd value="006"/>
</role>
<rpOrgName>USDA Forest Service</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>603-953-4307</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>271 Mast Rd</delPoint>
<city>Durham</city>
<adminArea>NH</adminArea>
<postCode>03867</postCode>
<country>US</country>
<eMailAdd>rebecca.l.lilja@usda.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<individual>
<rpIndName>Rebecca Lilja</rpIndName>
<rpPosName>GIS Specialist</rpPosName>
</individual>
</idPoC>
<resMaint>
<maintFreq>
<MaintFreqCd value="010"/>
</maintFreq>
</resMaint>
<otherKeys>
<keyword>Forests</keyword>
<keyword>Faucets</keyword>
<keyword>F2F2</keyword>
</otherKeys>
<searchKeys>
<keyword>Forests</keyword>
<keyword>Faucets</keyword>
<keyword>F2F2</keyword>
<keyword>NH DF&amp;L</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
</Consts>
</resConst>
<spatRpType>
<SpatRepTypCd value="001"/>
</spatRpType>
<dataExt>
<exDesc>Lower 48 of the United States</exDesc>
<geoEle>
<GeoBndBox>
<exTypeCode>true</exTypeCode>
<westBL>-124.902204</westBL>
<eastBL>-66.870603</eastBL>
<southBL>24.395333</southBL>
<northBL>49.796124</northBL>
</GeoBndBox>
</geoEle>
<tempEle>
<TempExtent>
<exTemp>
<TM_Instant>
<tmPosition>2019-06-19T00:00:00</tmPosition>
</TM_Instant>
</exTemp>
</TempExtent>
</tempEle>
</dataExt>
<dataExt>
<geoEle>
<GeoBndBox>
<exTypeCode>true</exTypeCode>
<westBL>-124.902204</westBL>
<eastBL>-66.870603</eastBL>
<southBL>24.395333</southBL>
<northBL>49.796124</northBL>
</GeoBndBox>
</geoEle>
</dataExt>
<dataLang>
<languageCode value="eng"/>
<countryCode value="US"/>
</dataLang>
<dataChar>
<CharSetCd value="004"/>
</dataChar>
<envirDesc>Esri ArcGIS 13.1.2.41833</envirDesc>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-124.902204</westBL>
<eastBL Sync="TRUE">-66.870603</eastBL>
<northBL Sync="TRUE">49.796124</northBL>
<southBL Sync="TRUE">24.395333</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<porCatInfo>
<portCatCit>
<resTitle>Reference List</resTitle>
<date>
<pubDate>2019-06-19T00:00:00</pubDate>
</date>
<otherCitDet>Abood, Sinan. 2019. Variable Width Riparian Area. Conservation Biology Institute, 2016. PAD-US (CBI Edition) Version 2.1 Shapefile (updated September 1, 2016)
Dieter, C.A., Maupin, M.A., Caldwell, R.R., Harris, M.A., Ivahnenko, T.I., Lovelace, J.K., Barber, N.L., and Linsey, K.S., 2018, Estimated use of water in the United States in 2015: U.S. Geological Survey Circular 1441, 65 p., https://doi.org/10.3133/cir1441. [Supersedes USGS Open-File Report 2017–1131.]
Dillon, Gregory K. 2018. Wildfire Hazard Potential (WHP) for the conterminous United States (270-m GRID), version 2018 classified (2nd edition). Fort Collins, CO: Forest Service Research Data Archive. https://www.fs.usda.gov/rds/archive/Product/RDS-2015-0046-2/
Krist, Frank J., Jr.; Ellenwood, James R.; Woods, Meghan E.; McMahan, Andrew J.; Cowardin, John P.; Ryerson, Daniel E.; Sapio, Frank J.; Zweifler, Mark O. 2014. 2013-2027 National insect and disease forest risk assessment. FHTET-14-01. Fort Collins, Colorado: U.S. Department of Agriculture, Forest Service, Forest Health Technology McKay, L.; Bondelid, T.; Johnston, J.; Moore, R.; and Rea, A.2009. NHDPlus User Guide.
NOAA's Ocean Service, Office for Coastal Management (OCM), 2004-2012. Coastal Change Analysis Program (C-CAP) Land Cover for Hawaii and the US Territories. C-CAP Land Cover for Guam, 2011. C-CAP Land Cover for American Samoa, 2010, C-CAP Land Cover for Mariana Islands, 2004-2005. C-CAP Land Cover for Hawaii, 2010-2011. C-CAP Land Cover for Puerto Rico, 2010. C-CAP Land Cover for US Virgin Islands, 2012
U.S. Geological Survey, 2015. Estimated use of water in the United States in 2015. Sioux Falls, SD.
U.S. Geological Survey, 2015, NLCD 2011 Land Cover Alaska - National Geospatial Data Asset (NGDA) Land Use, Sioux Falls, SD.
U.S. Geological Survey, 2019. National Land Cover Database NLCD 2016 Land Cover for the Conterminous United States. Sioux Falls, SD. U.S. Geological Survey, 2019. National Land Cover Database NLCD 2016 Impervious Surface Conterminous United States. Sioux Falls, SD.
U.S. Geological Survey (USGS), U.S. Department of Agriculture - Natural Resource Conservation Service (NRCS), U.S. Environmental Protection Agency (EPA), and other Federal, State, and local partners. 2019. USGS National Watershed Boundary Dataset in FileGDB 10.1 format (published 20190904) Digital Data Set. ftp://rockyftp.cr.usgs.gov/ngtoc/hydro/outgoing/WBDArchivedMetadata
U.S. Endowment for Forestry and Communities 2016. National Conservation Easement Database October 5 2016
U.S. EPA. 2017. Integrated Climate and Land-Use Scenarios (ICLUS version 2.1) for the Fourth National Climate Assessment. Available at: https://www.epa.gov/iclus.
U.S. EPA., 2018. SDWIS Intakes. Extracted on December 21, 2018 Filename: 2018Q3_Facility_Locations_122118
Yang, L., et al. (2018). "A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies." ISPRS Journal of Photogrammetry and Remote Sensing 146: 108-123.
</otherCitDet>
</portCatCit>
</porCatInfo>
<dqInfo>
<report type="DQConcConsis">
<measDesc>The watershed boundary accuracy is consistent with the 2019 WBD.</measDesc>
</report>
<report type="DQCompOm">
<measDesc>This file contains hydrologic unit boundaries and codes for 48 States. Alaska and Hawaii are only available in the Supplement data - https://usfs-public.app.box.com/v/Forests2Faucets</measDesc>
</report>
</dqInfo>
<dqInfo>
<dataLineage>
<statement>This data us an update to the 2011 Forests to Faucets and RMRS-GTR-327, Private forests, housing growth, and America's water supply Projects.</statement>
<prcStep>
<stepDesc>See WO-GTR-99 https://www.fs.usda.gov/treesearch/pubs/63723</stepDesc>
<stepDateTm>2019-06-19T00:00:00</stepDateTm>
<stepProc>
<role>
<RoleCd value="006"/>
</role>
<rpOrgName>USDA Forest Service</rpOrgName>
<rpCntInfo>
<cntPhone>
<voiceNum>603-953-4307</voiceNum>
</cntPhone>
<cntAddress>
<delPoint>271 Mast Rd</delPoint>
<city>Durham</city>
<adminArea>NH</adminArea>
<postCode>03867</postCode>
<country>US</country>
<eMailAdd>rebecca.l.lilja@usda.gov</eMailAdd>
</cntAddress>
</rpCntInfo>
<individual>
<rpIndName>Rebecca Lilja</rpIndName>
<rpPosName>GIS Specialist</rpPosName>
</individual>
</stepProc>
</prcStep>
</dataLineage>
</dqInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Ecosystems_Services_NH">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode code="4269"/>
<idCodeSpace>EPSG</idCodeSpace>
<idVersion>6.5(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Ecosystems_Services_NH">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
</metadata>
