An integrative index of Ecosystem Services provision based on remotely sensed data
We present an approach to generate estimates and to map Ecosystem Services [ES] related to C and waterdynamics [Soil Carbon sequestration, evapotranspiration and groundwater recharge] and biodiversity [Avian Richness] from remotely sensed data in two ecoregions of South America: the Semiarid Chacowo...
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| Otros Autores: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Materias: | |
| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2016paruelo.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 008 | 181208t2016 |||||o|||||00||||eng d | ||
| 999 | |c 47260 |d 47260 | ||
| 022 | |a 1470-160X | ||
| 024 | |a 10.1016/j.ecolind.2016.06.054 | ||
| 040 | |a AR-BaUFA | ||
| 245 | 1 | 0 | |a An integrative index of Ecosystem Services provision based on remotely sensed data |
| 520 | |a We present an approach to generate estimates and to map Ecosystem Services [ES] related to C and waterdynamics [Soil Carbon sequestration, evapotranspiration and groundwater recharge] and biodiversity [Avian Richness] from remotely sensed data in two ecoregions of South America: the Semiarid Chacowoodlands and the Rio de la Plata grasslands. Two attributes of the seasonal dynamics of the NormalizedDifference Vegetation Index [NDVI]; the annual mean [NDVImean], an indicator of light interception andhence of total C gains and the intra-annual Coefficient of Variation of the NDVI [NDVICV], a descriptorof seasonality; were combined into an ES provision index [ESPI igual a NDVImean [1-NDVICV]]. The proportionof the variance in ES provision explained by the ESPI varied from 0.484 for avian richness up to 0.662for C sequestration. A relatively large proportion of the studied area presented changes in ES provision.A 32,4 por ciento of the Semiarid Chaco and the Rio de la Plata grasslands presented significant [p menor a 0.01] trends. Most of the trends [30.2 por ciento] were negative, showing a decrease in ESPI. An index like the one proposedhere can be used as an aggregated indicator of the status and/or trends of ES supply at large spatial scales [subcontinental in our case]. | ||
| 653 | 0 | |a MODIS | |
| 653 | 0 | |a CHACO PAMPEAN PLAINS | |
| 653 | 0 | |a SOUTH AMERICA | |
| 653 | 0 | |a C GAINS | |
| 653 | 0 | |a WATER LOSSES | |
| 653 | 0 | |a BIODIVERSITY | |
| 700 | 1 | |9 788 |a Paruelo, José María | |
| 700 | 1 | |9 32541 |a Texeira, Marcos | |
| 700 | 1 | |a Staiano, Luciana |9 38286 | |
| 700 | 1 | |9 67476 |a Mastrángelo, Matías Enrique | |
| 700 | 1 | |a Amdan, María Laura |9 32878 | |
| 700 | 1 | |9 70337 |a Gallego, Federico | |
| 773 | |t Ecological Indicators |g vol.71 (2016), p.145-154, grafs., mapas | ||
| 856 | |u http://ri.agro.uba.ar/files/intranet/articulo/2016paruelo.pdf |i En reservorio |q application/pdf |f 2016paruelo |x MIGRADOS2018 | ||
| 856 | |u https://www.elsevier.com |x MIGRADOS2018 |z LINK AL EDITOR | ||
| 942 | 0 | 0 | |c ARTICULO |
| 942 | 0 | 0 | |c ENLINEA |
| 976 | |a AAG | ||