Ecosystem functioning of protected and altered Mediterranean environments a remote sensing classification in Doñana, Spain

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Spatial heterogeneity in ecosystem functioning is a key component of ecological variability requiring special attention in the context of global change. A large history of human use has produced high physiognomic heterogeneity in Mediterranean ecosystems. However, the consequences for ecosystem func...

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Detalles Bibliográficos
Autor principal: Fernández, Néstor
Otros Autores: Paruelo, José María, Delibes, Miguel
Formato: Artículo
Lenguaje:Inglés
Materias:
ALBEDO
DOÑANA
ECOLOGICAL CLASSIFICATION
EVAPOTRANSPIRATION
FPAR
LAND USE CHANGE
LANDSAT
NDVI
PRIMARY PRODUCTION
PROTECTED AREAS
ENVIRONMENTAL PROTECTION
FORESTRY
LAND USE
REMOTE SENSING
SIZE DISTRIBUTION
SOLAR RADIATION
VEGETATION
WATER SUPPLY
ECOSYSTEMS
CLASSIFICATION
ECOSYSTEM FUNCTION
ECOSYSTEM MANAGEMENT
ENERGY FLUX
GLOBAL CHANGE
HETEROGENEITY
HUMAN ACTIVITY
MEDITERRANEAN ENVIRONMENT
PHOTOSYNTHETICALLY ACTIVE RADIATION
PROTECTED AREA
SATELLITE IMAGERY
SEASONAL VARIATION
SPATIAL DISTRIBUTION
SPATIAL VARIATION
ANDALUCIA
DONANA
EURASIA
EUROPE
SOUTHERN EUROPE
SPAIN
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2010Fernandez2.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 0 0 |a Ecosystem functioning of protected and altered Mediterranean environments   |b a remote sensing classification in Doñana, Spain 
520 |a Spatial heterogeneity in ecosystem functioning is a key component of ecological variability requiring special attention in the context of global change. A large history of human use has produced high physiognomic heterogeneity in Mediterranean ecosystems. However, the consequences for ecosystem functioning remain insufficiently understood. We analyzed spectral indicators of matter and energy fluxes in the land surface to classify the functional ecosystem heterogeneity in a Mediterranean region covering different management histories and protection types. We specifically analyzed the spatial variability in seasonal and annual patterns in the Normalized Difference Vegetation Index [NDVI], surface temperature [Ts] and albedo from five Landsat ETM images. Then we classified numerically this variability into ecosystem functional types [EFTs] and explored their seasonal dynamics in terms of photosynthetic radiation absorption and evapotranspiration. We identified eight main EFTs with ecologically relevant differences including contrasting dynamics in fPAR seasonality, great variation in incoming radiation reflection and differing evapotranspiration rates, particularly during the water-limitation period. Functional variability in natural vegetation mostly consisted in dissimilar annual rates of NDVI and albedo, whereas differences in seasonality were more evident in transformed areas. Similarly, the spatial distribution of EFTs was partly associated to protection, with two EFTs exclusive of protected areas and comparatively higher functional diversity in humanized areas. Landform effects on water availability in protected areas and human activities under different ecological settings were seemingly responsible for the large functional diversity of the region. We advocate for the explicit incorporation of multifunctional ecosystem heterogeneity in ecosystem management and monitoring designs. 
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700 1 |9 788  |a Paruelo, José María 
700 1 |9 69857  |a Delibes, Miguel 
773 |t Remote Sensing of Environment  |g Vol.114, no.1 (2010), p.211-220 
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900 |a ^aFernández^bN.^tDepartment of Conservation Biology, Doñana Biological Station, Spanish Council for Scientific Research CSIC, Av. Américo Vespucio s/n, 41092 Sevilla, Spain 
900 |a ^aParuelo^bJ.M.^tLaboratorio de Análisis Regional y Teledetección, Facultad de Agronomía e IFEVA, Universidad de Buenos Aires, Av. San Martín 4453, 1417 Buenos Aires, Argentina 
900 |a ^aDelibes^bM.^tDepartamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía e IFEVA, Universidad de Buenos Aires, Av. San Martín 4453, 1417 Buenos Aires, Argentina 
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