Environmental and human controls of ecosystem functional diversity in temperate South America
The regional controls of biodiversity patterns have been traditionally evaluated using structural and compositional components at the species level, but evaluation of the functional component at the ecosystem level is still scarce. During the last decades, the role of ecosystem functioning in manage...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/download/articulo/2013alcarazsegura.pdf LINK AL EDITOR |
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| 245 | 1 | 0 | |a Environmental and human controls of ecosystem functional diversity in temperate South America |
| 520 | |a The regional controls of biodiversity patterns have been traditionally evaluated using structural and compositional components at the species level, but evaluation of the functional component at the ecosystem level is still scarce. During the last decades, the role of ecosystem functioning in management and conservation has increased. Our aim was to use satellite-derived Ecosystem Functional Types [EFTs, patches of the land-surface with similar carbon gain dynamics] to characterize the regional patterns of ecosystem functional diversity and to evaluate the environmental and human controls that determine EFT richness across natural and human-modified systems in temperate South America. The EFT identification was based on three descriptors of carbon gain dynamics derived from seasonal curves of the MODIS Enhanced Vegetation Index [EVI]: annual mean [surrogate of primary production], seasonal coefficient of variation [indicator of seasonality] and date of maximum EVI [descriptor of phenology]. As observed for species richness in the southern hemisphere, water availability, not energy, emerged as the main climatic driver ofEFT richness in natural areas of temperate South America. In anthropogenic areas, the role of both water and energy decreased and increasing human intervention increased richness at low levels of human influence, but decreased richness at high levels of human influence. | ||
| 653 | 0 | |a ECOSYSTEM FUNCTIONAL DIVERSITY | |
| 653 | 0 | |a ECOSYSTEM FUNCTIONAL TYPES | |
| 653 | 0 | |a ENVIRONMENTAL CONTROLS | |
| 653 | 0 | |a HUMAN CONTROLS | |
| 653 | 0 | |a MODIS EVI | |
| 653 | 0 | |a RICHNESS | |
| 653 | 0 | |a SOUTH AMERICA | |
| 653 | 0 | |a ECOSYSTEM FUNCTIONING | |
| 653 | 0 | |a ENVIRONMENTAL CONTROL | |
| 653 | 0 | |a FUNCTIONAL DIVERSITY | |
| 653 | 0 | |a FUNCTIONAL TYPES | |
| 653 | 0 | |a HUMAN CONTROL | |
| 653 | 0 | |a BIODIVERSITY | |
| 653 | 0 | |a CARBON | |
| 653 | 0 | |a DYNAMICS | |
| 653 | 0 | |a FORESTRY | |
| 653 | 0 | |a PHENOLS | |
| 653 | 0 | |a RADIOMETERS | |
| 653 | 0 | |a ECOSYSTEMS | |
| 700 | 1 | |9 47964 |a Alcaraz Segura, Domingo | |
| 700 | 1 | |9 788 |a Paruelo, José María | |
| 700 | 1 | |9 69577 |a Epstein, Howard E. | |
| 700 | 1 | |9 50022 |a Cabello, Javier | |
| 773 | |t Remote Sensing |g vol.5, no.1 (2013), p.127-154 | ||
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| 900 | |a ^tEnvironmental and human controls of ecosystem functional diversity in temperate South America | ||
| 900 | |a ^aAlcaraz-Segura^bD. | ||
| 900 | |a ^aParuelo^bJ.M. | ||
| 900 | |a ^aEpstein^bH.E. | ||
| 900 | |a ^aCabello^bJ. | ||
| 900 | |a ^aAlcaraz Segura^bD. | ||
| 900 | |a ^aParuelo^bJ. M. | ||
| 900 | |a ^aEpstein^bH. E. | ||
| 900 | |a ^aCabello^bJ. | ||
| 900 | |a ^aAlcaraz-Segura, D.^tDepartamento de Botánica, Facultad de Ciencias, Universidad de Granada, Campus Universitario de Fuentenueva, E-18071 Granada, Spain | ||
| 900 | |a ^aParuelo, J.M.^tLaboratorio de Análisis Regional y Teledetección, Departamento de Métodos Cuantitativos y Sistemas de Información, IFEVA-Facultad de Agronomía, Universidad de Buenos Aires y CONICET, Av. San Martín 4453, 1417 Buenos Aires, Argentina | ||
| 900 | |a ^aEpstein, H.E.^tEnvironmental Sciences Department, University of Virginia, 291 McCormick Road, Charlottesville, VA 22904, United States | ||
| 900 | |a ^aCabello, J.^tDepartamento Biología Vegetal y Ecología, Centro Andaluz para la Evaluación y Seguimiento del Cambio Global, Universidad de Almería, Ctra. Sacramento s/n, La Cañada de San Urbano, E-04120 Almería, Spain | ||
| 900 | |a ^tRemote Sensing^cRemote Sens. | ||
| 900 | |a en | ||
| 900 | |a 127 | ||
| 900 | |a ^i | ||
| 900 | |a Vol. 5, no. 1 | ||
| 900 | |a 154 | ||
| 900 | |a ECOSYSTEM FUNCTIONAL DIVERSITY | ||
| 900 | |a ECOSYSTEM FUNCTIONAL TYPES | ||
| 900 | |a ENVIRONMENTAL CONTROLS | ||
| 900 | |a HUMAN CONTROLS | ||
| 900 | |a MODIS EVI | ||
| 900 | |a RICHNESS | ||
| 900 | |a SOUTH AMERICA | ||
| 900 | |a ECOSYSTEM FUNCTIONING | ||
| 900 | |a ENVIRONMENTAL CONTROL | ||
| 900 | |a FUNCTIONAL DIVERSITY | ||
| 900 | |a FUNCTIONAL TYPES | ||
| 900 | |a HUMAN CONTROL | ||
| 900 | |a BIODIVERSITY | ||
| 900 | |a CARBON | ||
| 900 | |a DYNAMICS | ||
| 900 | |a FORESTRY | ||
| 900 | |a PHENOLS | ||
| 900 | |a RADIOMETERS | ||
| 900 | |a ECOSYSTEMS | ||
| 900 | |a The regional controls of biodiversity patterns have been traditionally evaluated using structural and compositional components at the species level, but evaluation of the functional component at the ecosystem level is still scarce. During the last decades, the role of ecosystem functioning in management and conservation has increased. Our aim was to use satellite-derived Ecosystem Functional Types [EFTs, patches of the land-surface with similar carbon gain dynamics] to characterize the regional patterns of ecosystem functional diversity and to evaluate the environmental and human controls that determine EFT richness across natural and human-modified systems in temperate South America. The EFT identification was based on three descriptors of carbon gain dynamics derived from seasonal curves of the MODIS Enhanced Vegetation Index [EVI]: annual mean [surrogate of primary production], seasonal coefficient of variation [indicator of seasonality] and date of maximum EVI [descriptor of phenology]. As observed for species richness in the southern hemisphere, water availability, not energy, emerged as the main climatic driver ofEFT richness in natural areas of temperate South America. In anthropogenic areas, the role of both water and energy decreased and increasing human intervention increased richness at low levels of human influence, but decreased richness at high levels of human influence. | ||
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