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 water dynamics (Soil Carbon sequestration, evapotranspiration and groundwater recharge) and biodiversity (Avian Richness) from remotely sensed data in two ecoregions of South America: the Semiarid Chaco...
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| Format: | Artículo |
| Language: | Inglés |
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Elsevier
2019
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/article/pii/S1470160X16303843 http://hdl.handle.net/20.500.12123/4567 https://doi.org/10.1016/j.ecolind.2016.06.054 |
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| author | Paruelo, José María Texeira González, Marcos Alexis Staiano, Luciana Mastrangelo, Matías Enrique Amdan, María Laura Gallego, Federico |
| author_browse | Amdan, María Laura Gallego, Federico Mastrangelo, Matías Enrique Paruelo, José María Staiano, Luciana Texeira González, Marcos Alexis |
| author_facet | Paruelo, José María Texeira González, Marcos Alexis Staiano, Luciana Mastrangelo, Matías Enrique Amdan, María Laura Gallego, Federico |
| author_sort | Paruelo, José María |
| collection | INTA Digital |
| description | We present an approach to generate estimates and to map Ecosystem Services (ES) related to C and water dynamics (Soil Carbon sequestration, evapotranspiration and groundwater recharge) and biodiversity (Avian Richness) from remotely sensed data in two ecoregions of South America: the Semiarid Chaco woodlands and the Rio de la Plata grasslands. Two attributes of the seasonal dynamics of the Normalized Difference Vegetation Index (NDVI); the annual mean (NDVI mean), an indicator of light interception and hence of total C gains and the intra-annual Coefficient of Variation of the NDVI (NDVI CV), a descriptor of seasonality; were combined into an ES provision index (ESPI = NDVImean * (1-NDVICV)). The proportion of the variance in ES provision explained by the ESPI varied from 0.484 for avian richness up to 0.662 for C sequestration. A relatively large proportion of the studied area presented changes in ES provision. A 32,4% of the Semiarid Chaco and the Rio de la Plata grasslands presented significant (p < 0.01) trends. Most of the trends (30.2%) were negative, showing a decrease in ESPI. An index like the one proposed here can be used as an aggregated indicator of the status and/or trends of ES supply at large spatial scales (subcontinental in our case). |
| format | Artículo |
| id | INTA4567 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA45672019-03-11T13:34:25Z An integrative index of Ecosystem Services provision based on remotely sensed data Paruelo, José María Texeira González, Marcos Alexis Staiano, Luciana Mastrangelo, Matías Enrique Amdan, María Laura Gallego, Federico Servicios de los Ecosistemas Sensores Evaporación Biodiversidad Ecosystem Services Sensors Evaporation Biodiversity Servicios Ecosistémicos Sensores Remotos MODIS We present an approach to generate estimates and to map Ecosystem Services (ES) related to C and water dynamics (Soil Carbon sequestration, evapotranspiration and groundwater recharge) and biodiversity (Avian Richness) from remotely sensed data in two ecoregions of South America: the Semiarid Chaco woodlands and the Rio de la Plata grasslands. Two attributes of the seasonal dynamics of the Normalized Difference Vegetation Index (NDVI); the annual mean (NDVI mean), an indicator of light interception and hence of total C gains and the intra-annual Coefficient of Variation of the NDVI (NDVI CV), a descriptor of seasonality; were combined into an ES provision index (ESPI = NDVImean * (1-NDVICV)). The proportion of the variance in ES provision explained by the ESPI varied from 0.484 for avian richness up to 0.662 for C sequestration. A relatively large proportion of the studied area presented changes in ES provision. A 32,4% of the Semiarid Chaco and the Rio de la Plata grasslands presented significant (p < 0.01) trends. Most of the trends (30.2%) were negative, showing a decrease in ESPI. An index like the one proposed here can be used as an aggregated indicator of the status and/or trends of ES supply at large spatial scales (subcontinental in our case). EEA Balcarce Fil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de la República. Facultad de Ciencias; Uruguay Fil: Texeira González, Marcos Alexis. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Staiano, Luciana. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Mastrangelo, Matias Enrique. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias. Grupo de Estudio de Agroecosistemas y Paisajes Rurales; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Amdan, María Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Gallego, Federico. Universidad de la República. Facultad de Ciencias; Uruguay 2019-03-11T13:27:00Z 2019-03-11T13:27:00Z 2016-12 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S1470160X16303843 http://hdl.handle.net/20.500.12123/4567 1470-160X https://doi.org/10.1016/j.ecolind.2016.06.054 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Ecological Indicators 71 : 145-154 (December 2016) |
| spellingShingle | Servicios de los Ecosistemas Sensores Evaporación Biodiversidad Ecosystem Services Sensors Evaporation Biodiversity Servicios Ecosistémicos Sensores Remotos MODIS Paruelo, José María Texeira González, Marcos Alexis Staiano, Luciana Mastrangelo, Matías Enrique Amdan, María Laura Gallego, Federico An integrative index of Ecosystem Services provision based on remotely sensed data |
| title | An integrative index of Ecosystem Services provision based on remotely sensed data |
| title_full | An integrative index of Ecosystem Services provision based on remotely sensed data |
| title_fullStr | An integrative index of Ecosystem Services provision based on remotely sensed data |
| title_full_unstemmed | An integrative index of Ecosystem Services provision based on remotely sensed data |
| title_short | An integrative index of Ecosystem Services provision based on remotely sensed data |
| title_sort | integrative index of ecosystem services provision based on remotely sensed data |
| topic | Servicios de los Ecosistemas Sensores Evaporación Biodiversidad Ecosystem Services Sensors Evaporation Biodiversity Servicios Ecosistémicos Sensores Remotos MODIS |
| url | https://www.sciencedirect.com/science/article/pii/S1470160X16303843 http://hdl.handle.net/20.500.12123/4567 https://doi.org/10.1016/j.ecolind.2016.06.054 |
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