Ítem
Acceso Abierto

Spatially-explicit modeling of multi-scale drivers of aboveground forest biomass and water yield in watersheds of the Southeastern United States

Mostrar el registro sencillo de la publicación
dc.creatorAjaz Ahmed M.A.spa
dc.creatorAbd-Elrahman A.spa
dc.creatorEscobedo F.J.spa
dc.creatorCropper W.P.spa
dc.creatorJr.spa
dc.creatorMartin T.A.spa
dc.creatorTimilsina N.spa
dc.date.accessioned2020-05-25T23:56:10Z
dc.date.available2020-05-25T23:56:10Z
dc.date.created2017spa
dc.description.abstractUnderstanding ecosystem processes and the influence of regional scale drivers can provide useful information for managing forest ecosystems. Examining more local scale drivers of forest biomass and water yield can also provide insights for identifying and better understanding the effects of climate change and management on forests. We used diverse multi-scale datasets, functional models and Geographically Weighted Regression (GWR) to model ecosystem processes at the watershed scale and to interpret the influence of ecological drivers across the Southeastern United States (SE US). Aboveground forest biomass (AGB) was determined from available geospatial datasets and water yield was estimated using the Water Supply and Stress Index (WaSSI) model at the watershed level. Our geostatistical model examined the spatial variation in these relationships between ecosystem processes, climate, biophysical, and forest management variables at the watershed level across the SE US. Ecological and management drivers at the watershed level were analyzed locally to identify whether drivers contribute positively or negatively to aboveground forest biomass and water yield ecosystem processes and thus identifying potential synergies and tradeoffs across the SE US region. Although AGB and water yield drivers varied geographically across the study area, they were generally significantly influenced by climate (rainfall and temperature), land-cover factor1 (Water and barren), land-cover factor2 (wetland and forest), organic matter content high, rock depth, available water content, stand age, elevation, and LAI drivers. These drivers were positively or negatively associated with biomass or water yield which significantly contributes to ecosystem interactions or tradeoff/synergies. Our study introduced a spatially-explicit modelling framework to analyze the effect of ecosystem drivers on forest ecosystem structure, function and provision of services. This integrated model approach facilitates multi-scale analyses of drivers and interactions at the local to regional scale. © 2017 Elsevier Ltdeng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.jenvman.2017.05.013
dc.identifier.issn10958630
dc.identifier.issn03014797
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22343
dc.language.isoengspa
dc.publisherAcademic Pressspa
dc.relation.citationEndPage171
dc.relation.citationStartPage158
dc.relation.citationTitleJournal of Environmental Management
dc.relation.citationVolumeVol. 199
dc.relation.ispartofJournal of Environmental Management, ISSN:10958630, 03014797, Vol.199,(2017); pp. 158-171spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019549417&doi=10.1016%2fj.jenvman.2017.05.013&partnerID=40&md5=4e32d8ddb2ac1b96dc2b1fc8d04fee8cspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordOrganic matterspa
dc.subject.keywordRainspa
dc.subject.keywordWaterspa
dc.subject.keywordWaterspa
dc.subject.keywordAboveground biomassspa
dc.subject.keywordBiophysicsspa
dc.subject.keywordClimate changespa
dc.subject.keywordEcoregionspa
dc.subject.keywordEcosystem modelingspa
dc.subject.keywordEcosystem servicespa
dc.subject.keywordForest ecosystemspa
dc.subject.keywordForest managementspa
dc.subject.keywordLeaf area indexspa
dc.subject.keywordOrganic matterspa
dc.subject.keywordSpatial analysisspa
dc.subject.keywordTrade-offspa
dc.subject.keywordWatershedspa
dc.subject.keywordAboveground forest biomassspa
dc.subject.keywordArticlespa
dc.subject.keywordBiomassspa
dc.subject.keywordClimate changespa
dc.subject.keywordDriverspa
dc.subject.keywordDriving abilityspa
dc.subject.keywordEcosystemspa
dc.subject.keywordEnvironmental managementspa
dc.subject.keywordEnvironmental parametersspa
dc.subject.keywordEnvironmental temperaturespa
dc.subject.keywordForestspa
dc.subject.keywordForest managementspa
dc.subject.keywordGeographically weighted regressionspa
dc.subject.keywordHumanspa
dc.subject.keywordLand usespa
dc.subject.keywordMathematical modelspa
dc.subject.keywordRockspa
dc.subject.keywordUnited statesspa
dc.subject.keywordWater contentspa
dc.subject.keywordWater supplyspa
dc.subject.keywordWater supply and stress indexspa
dc.subject.keywordWatershedspa
dc.subject.keywordClimate changespa
dc.subject.keywordUnited statesspa
dc.subject.keywordBiomassspa
dc.subject.keywordClimate changespa
dc.subject.keywordEcosystemspa
dc.subject.keywordForestsspa
dc.subject.keywordSoutheastern united statesspa
dc.subject.keywordWaterspa
dc.subject.keywordDriversspa
dc.subject.keywordEcoregionspa
dc.subject.keywordEcosystem servicesspa
dc.subject.keywordGeographically weighted regressionspa
dc.subject.keywordTrade-offsspa
dc.subject.keywordWatershedspa
dc.titleSpatially-explicit modeling of multi-scale drivers of aboveground forest biomass and water yield in watersheds of the Southeastern United Statesspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
Archivos
Bloque original
Mostrando1 - 1 de 1
Miniatura
Nombre:
1-s2-0-S0301479717304735-main.pdf
Tamaño:
7.47 MB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Colecciones
Artículos