dc.creatorLiberoff, Ana Laura
dc.creatorFlaherty, Silvia
dc.creatorHualde, Pablo
dc.creatorGarcia Asorey, Martin Ignacio
dc.creatorFogel, Marilyn
dc.creatorPascual, Miguel Alberto
dc.date.accessioned2019-11-11T21:00:45Z
dc.date.accessioned2022-10-15T04:00:26Z
dc.date.available2019-11-11T21:00:45Z
dc.date.available2022-10-15T04:00:26Z
dc.date.created2019-11-11T21:00:45Z
dc.date.issued2019-01
dc.identifierLiberoff, Ana Laura; Flaherty, Silvia; Hualde, Pablo; Garcia Asorey, Martin Ignacio; Fogel, Marilyn; et al.; Assessing land use and land cover influence on surface water quality using a parametric weighted distance function; Elsevier Gmbh; Limnologica; 74; 1-2019; 28-37
dc.identifier0075-9511
dc.identifierhttp://hdl.handle.net/11336/88551
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4343060
dc.description.abstractStream water quality is directly influenced by land use and human practices in the surrounding environment. Understanding such effects and the spatial extent of impacts is essential to generate reliable information for ecosystem-based management of water resources. We identified sources of impact on water quality and characterized indicator-specific landscape influence on samples collected during base flow along the Chubut River (43 °S, 69 °W). We modeled Total Nitrogen (TN), Total Phosphorous (TP), Soluble Reactive Phosphorous (SRP) concentrations and δ15N of particulate organic matter along the river, as a function of effective contribution areas (AEC) of Land Use/Land Cover (LULC). AECs were calculated by assuming that landscape influence decays exponentially with the Euclidean distance between a given LULC parcel and the sampling point. We calibrated the model to the observations by estimating an indicator-specific decay rate. Agriculture and barren lands were the main sources of phosphate nutrients whereas urban areas were the main source of TN. Radius of landscape influence for SRP (100–180 km) was larger than for TP (10–25 km), reflecting different patterns of mobilization and delivery in the catchment. δ15N variation was explained by vegetation cover but the influence rapidly decreased (1–4 km) reflecting a mostly autochthonous source of organic matter.
dc.languageeng
dc.publisherElsevier Gmbh
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.limno.2018.10.003
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0075951117303171
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectDISTANCE-DECAY MODEL
dc.subjectHUMAN IMPACTS
dc.subjectLANDSCAPE INFLUENCE
dc.subjectNUTRIENTS
dc.subjectPATAGONIA
dc.titleAssessing land use and land cover influence on surface water quality using a parametric weighted distance function
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución