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  "serviceDescription" : "These data represent intact habitat cores. Habitat cores are minimally disturbed natural areas at least 100 acres in size and greater than 200 meters wide. These data are intended to identify natural assets and support green infrastructure planning at the national, regional, and local scales.\n\nThis is one of five companion green infrastructure datasets that if used together should have corresponding date-based suffixes (YYYYMMDD). The corresponding layer names are: HabitatCores, LCPConnectors, Fragments, CostSurf and BetwnCentrality", 
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    "neutral", 
    "ar-SA", 
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    "el-GR", 
    "en-GB", 
    "en-US", 
    "es-ES", 
    "fr-FR", 
    "gu-IN", 
    "he-IL", 
    "hi-IN", 
    "hr-HR", 
    "id-ID", 
    "is-IS", 
    "it-IT", 
    "ja-JP", 
    "kn-IN", 
    "ko-KR", 
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    "nl-NL", 
    "pa-IN", 
    "pl-PL", 
    "pt-BR", 
    "pt-PT", 
    "ro-RO", 
    "ru-RU", 
    "sk-SK", 
    "sl-SI", 
    "sr-Cyrl-CS", 
    "sr-Latn-CS", 
    "sv-SE", 
    "ta-IN", 
    "te-IN", 
    "th-TH", 
    "tr-TR", 
    "uk-UA", 
    "ur-PK", 
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    "zh-MO", 
    "zh-SG", 
    "zh-TW"
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  "description" : "\u003cDIV STYLE=\"text-align:Left;\"\u003e\u003cDIV\u003e\u003cDIV\u003e\u003cP STYLE=\"margin:0 0 18 0;\"\u003e\u003cSPAN\u003eFollowing a methodology outlined by the \u003c/SPAN\u003e\u003cA href=\"http://www.gicinc.org/index.htm\"\u003e\u003cSPAN\u003e\u003cSPAN\u003eGreen Infrastructure Center\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e Inc., Esri staff created a national intact habitat cores database for the lower 48 United States. These data were generated using 2011 National Land Cover Data. Cores were derived from all “natural” land cover classes and excluded all “developed” and “agricultural” classes including crop, hay and pasture lands. The resulting cores were tested for size and width requirements (at least 100 acres in size and greater than 200 meters) and then converted into unique polygons. This process resulted in the generation of over 550,000 intact habitat cores. \u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003eThese polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to populate each core with attributes (53 in total) related to the landscape characteristics found within. These data were also compiled to compute a “core quality index”, or score related to the perceived ecological value of each core, to provide users with additional insight related to the importance of each core when compared to all others. The source data used to derive this attribution is as follows:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eSource data\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003e:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNumber of endemic species:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003e(Mammals, Fish, Reptiles, Amphibians, Trees) Jenkins, Clinton N., et. al, (April 21, 2015) \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN STYLE=\"font-style:italic;\"\u003e\u003cSPAN\u003eUS protected lands mismatch biodiversity priorities\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003e, PNAS vol.112, no. 16, \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://www.pnas.org/cgi/doi/10.1073/pnas.1418034112\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ewww.pnas.org/cgi/doi/10.1073/pnas.1418034112\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003ePriority Index areas: Endemic species, small home range size and low protection status\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003e. Jenkins, Clinton N., et. al, (April 21, 2015) \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN STYLE=\"font-style:italic;\"\u003e\u003cSPAN\u003eUS protected lands mismatch biodiversity priorities\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003e, PNAS vol.112, no. 16, \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://www.pnas.org/cgi/doi/10.1073/pnas.1418034112\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ewww.pnas.org/cgi/doi/10.1073/pnas.1418034112\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eUnique ecological systems:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003eBased upon work by Aycrigg, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eEcologically relevant landforms:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003eTheobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN STYLE=\"font-style:italic;\"\u003e\u003cSPAN\u003eEcologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003ePLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eLocal Landforms:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003eProduced 3/2016 by Deniz Karagulle and Charlie Frye, Esri, 30 m* resolution. \u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003e\"Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data\" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, In Review, Transactions in GIS.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003e*The neighborhood window was scaled from the 250-meter method described in the paper to 30-meter data in the U.S.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eEcological Land Units: \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003eSayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, D. Cribbs, D. Hopkins, R. Nauman, W. Derrenbacher, D. Wright, C. Brown, C. Convis, J. Smith, L. Benson, D. Paco VanSistine, H. Warner, J. Cress, J. Danielson, S. Hamann, T. Cecere, A. Reddy, D. Burton, A. Grosse, D. True, M. Metzger, J. Hartmann, N. Moosdorf, H. Dürr, M. Paganini, P. DeFourny, O. Arino, S. Maynard, M. Anderson, and P. Comer. 2014. A New Map of Global Ecological Land Units — An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://www.aag.org/cs/global_ecosystems\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://www.aag.org/cs/global_ecosystems\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e. 2015 updated data accessed 3/2016, 250 m resolution.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNational Elevation Dataset:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003eUSGS, 30 m resolution, \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://viewer.nationalmap.gov/launch/\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://viewer.nationalmap.gov/launch/\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNWI – National Wetlands Inventory:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003eClassification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31, U.S. Fish and Wildlife Service, Division of Habitat and Resource Conservation (prepared 10/2015)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNLCD 2011 – National LandCover Database 2011:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cA href=\"http://www.mrlc.gov/nlcd2011.php\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://www.mrlc.gov/nlcd2011.php\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e(downloaded 1/2016) \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003eHomer, C.G., et. al. 2015,\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://bit.ly/1K7WjO3\"\u003e\u003cSPAN\u003e\u003cSPAN\u003eCompletion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e. \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN STYLE=\"font-style:italic;\"\u003e\u003cSPAN\u003ePhotogrammetric Engineering and Remote Sensing\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003e, v. 81, no. 5, p. 345-354 \u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNHDPlusV2:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cA href=\"https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttps://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003eReceived from Charlie Frye, Esri 3/2016. Produced by the EPA with support from the USGS.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003egSSURGO:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003eSoil Survey Staff. Gridded Soil Survey Geographic Database for the Conterminous United States. Natural Resources Conservation Service, United States Department of Agriculture. Available online at \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://gdg.sc.egov.usda.gov/\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://gdg.sc.egov.usda.gov/\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e. \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN\u003e\u003cSPAN\u003eAccessed 3/2016, 30 m resolution\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eSSurgo:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003eSoil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cA href=\"http://websoilsurvey.nrcs.usda.gov/\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://websoilsurvey.nrcs.usda.gov/\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e. Accessed 3/2016\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eGAP Level 3 Ecological System Boundaries:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cA href=\"http://gapanalysis.usgs.gov/gaplandcover/data/download/\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://gapanalysis.usgs.gov/gaplandcover/data/download/\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003e(downloaded 4/ 2016) \u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNOAA CCAP \u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003eCoastal Change Analysis Program Regional Land Cover and Change:\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN /\u003e\u003cA href=\"https://coast.noaa.gov/ccapftp/\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003ehttps://coast.noaa.gov/ccapftp/#/\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003eDescription: \u003c/SPAN\u003e\u003cA href=\"https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttps://coast.noaa.gov/dataregistry/search/collection/info/ccapregional\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e30 m resolution, 2010 edition of data (downloaded by state 3/2016)\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eNHD USGS National Hydrography Dataset:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cA href=\"http://nhd.usgs.gov/data.html\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://nhd.usgs.gov/data.html\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003eTNC Terrestrial Ecoregions:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cA href=\"http://maps.tnc.org/gis_data.html\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttp://maps.tnc.org/gis_data.html#TNClands\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003cSPAN\u003e\u003cSPAN\u003e(downloaded 3/2016)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP\u003e\u003cSPAN STYLE=\"font-weight:bold;\"\u003e\u003cSPAN\u003e2015 LCC Network Areas:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cA href=\"https://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78\"\u003e\u003cSPAN\u003e\u003cSPAN\u003ehttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/A\u003e\u003c/P\u003e\u003cP /\u003e\u003cP /\u003e\u003cP STYLE=\"font-weight:bold;margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003eDetailed Description of the Core Quality Index Methodology:\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003eThe creation of a national core quality index was a challenging undertaking given the extreme heterogeneity of ecosystem conditions across the United States. As a result, 9 separate index scores were generated for each core, each placing varying weights on landscape characteristics of regional or local significance. This was done to account for variation across the U.S. and to provide users with additional flexibility in accommodating regional or local environmental priorities.\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP /\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003eTwo general approaches were used in developing the core quality index values. The first, Default Weights, uses core size as the primary determinant of quality, following the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US. The second, Bio-Weights, puts more emphasis on characteristics associated with bio-diversity and uniqueness of ecosystem types and de-emphasizes slightly the importance of core size. 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Topographic Diversity (Standard Deviation)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003e0.25, # Biodiversity Priority Index (Species Richness in GIC original version)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003e0.05, # Percentage Wetland Cover\u003c/SPAN\u003e\u003c/SPAN\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN\u003e\u003cSPAN\u003e0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003e0.02, # Compactness Ratio (Area Relative To The Area Of A Circle With The Same Perimeter Length)\u003c/SPAN\u003e\u003c/SPAN\u003e\u003c/P\u003e\u003cP STYLE=\"margin:0 0 0 0;\"\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN /\u003e\u003cSPAN\u003e\u003cSPAN\u003e0.1, # 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