Item talk:Q258279

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "CreativeWork",
   "additionalType": "Conference Paper",
   "name": "Evaluating hydrological response to forecasted land-use change\u2014scenario testing with the automated geospatial watershed assessment (AGWA) tool",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70176155",
       "url": "https://pubs.usgs.gov/publication/70176155"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70176155
     }
   ],
   "inLanguage": "en",
   "datePublished": "2009",
   "dateModified": "2016-08-30",
   "abstract": "Envisioning and evaluating future scenarios has emerged as a critical component of both science and social decision-making. The ability to assess, report, map, and forecast the life support functions of ecosystems is absolutely critical to our capacity to make informed decisions to maintain the sustainable nature of our ecosystem services now and into the future. During the past two decades, important advances in the integration of remote imagery, computer processing, and spatial-analysis technologies have been used to develop landscape information that can be integrated with hydrologic models to determine long-term change and make predictive inferences about the future. Two diverse case studies in northwest Oregon (Willamette River basin) and southeastern Arizona (San Pedro River) were examined in regard to future land use scenarios relative to their impact on surface water conditions (e.g., sediment yield and surface runoff) using hydrologic models associated with the Automated Geospatial Watershed Assessment (AGWA) tool. The base reference grid for land cover was modified in both study locations to reflect stakeholder\u00a0preferences 20 to 60 yrs into the future, and the consequences of landscape change were evaluated relative to the selected future scenarios. The two studies provide examples of integrating hydrologic modeling with a scenario analysis framework to evaluate plausible future forecasts and to understand the potential impact of landscape change on ecosystem services.",
   "description": "6 p.",
   "publisher": {
     "@type": "Organization",
     "name": "U.S Geological Survey"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Kepner, William G.",
       "givenName": "William G.",
       "familyName": "Kepner"
     },
     {
       "@type": "Person",
       "name": "Semmens, Darius J. dsemmens@usgs.gov",
       "givenName": "Darius J.",
       "familyName": "Semmens",
       "email": "dsemmens@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0001-7924-6529",
         "url": "https://orcid.org/0000-0001-7924-6529"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Geosciences and Environmental Change Science Center",
           "url": "https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Hernandez, Mariano",
       "givenName": "Mariano",
       "familyName": "Hernandez"
     },
     {
       "@type": "Person",
       "name": "Goodrich, David C.",
       "givenName": "David C.",
       "familyName": "Goodrich",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "USDA-ARS"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Rocky Mountain Geographic Science Center",
       "url": "https://www.usgs.gov/programs/national-geospatial-program"
     }
   ]
 }

}