Spatial variability of above - ground net primary production in Uruguayan grasslands a remote sensing approach

Question: How does above-ground net primary production [ANPP] differ [estimated from remotely sensed data] among vegetation units in sub-humid temperate grasslands? Location: Centre-north Uruguay. Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape config...

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Detalles Bibliográficos
Otros Autores: Baeza, Santiago, Lezama, Felipe, Piñeiro, Gervasio, Altesor, Alice, Paruelo, José María
Formato: Artículo
Lenguaje:Inglés
Materias:
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2010Baeza.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
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245 1 0 |a Spatial variability of above - ground net primary production in Uruguayan grasslands   |b a remote sensing approach 
520 |a Question: How does above-ground net primary production [ANPP] differ [estimated from remotely sensed data] among vegetation units in sub-humid temperate grasslands? Location: Centre-north Uruguay. Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation [fPAR], calculated from the normalized difference vegetation index [NDVI] images provided by the moderate resolution imaging spectroradiometer [MODIS] sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data. Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands occupied 45 percent of the area, Meso-hydrophytic grasslands 43 percent and Lithophytic steppes 6 percent. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10 percent higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter [DM] ha -1 yr-1 and Meso-xerophytic grasslands and Lithophytic steppes around 3400kg.DM.ha-1.yr-1. Mesoxerophytic grasslands had the largest spatial variation during most of the year. The ANPP temporal variation was higher than the fPAR variability. Conclusions: Our results provide valuable information for grazing management [identifying spatial and temporal variations of ANPP] and grassland conservation [identifying the spatial distribution of vegetation units]. 
653 0 |a LAND-COVER CLASSIFICATION 
653 0 |a NATIVE GRASSLANDS 
653 0 |a NORMALIZED DIFFERENCE VEGETATION INDEX [NDVI] 
653 0 |a RADIATION-USE EFFICIENCY 
653 0 |a RIO DE LA PLATA GRASSLANDS 
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700 1 |a Lezama, Felipe  |9 46056 
700 1 |9 22554  |a Piñeiro, Gervasio 
700 1 |a Altesor, Alice  |9 67488 
700 1 |9 788  |a Paruelo, José María 
773 |t Applied Vegetation Science  |g vol.13, no.1 (2010), p.72-85 
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900 |a ^aBaeza^bS.^tSección Ecología Terrestre, Departamento de Ecología, Universidad de la República, Iguá 4225, Montevideo, Uruguay 
900 |a ^aLezama^bF.^tInstituto Nacional de Investigación Agropecuaria, Ruta 8 km282, Treinta y Tres CP 33000, Uruguay 
900 |a ^aPiñeiro^bG.^tLaboratorio de Análisis Regional y Teledetección, IFEVA, Universidad de Buenos Aires/CONICET, Av. San Martin 4453, C1417DSE, Buenos Aires, Argentina 
900 |a ^aAltesor^bA.^tLaboratorio de Análisis Regional y Teledetección, IFEVA, Facultad de Agronomía, Universidad de Buenos Aires/CONICET, Av. San Martin 4453, C1417DSE, Buenos Aires, Argentina 
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900 |a Question: How does above-ground net primary production [ANPP] differ [estimated from remotely sensed data] among vegetation units in sub-humid temperate grasslands? Location: Centre-north Uruguay. Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation [fPAR], calculated from the normalized difference vegetation index [NDVI] images provided by the moderate resolution imaging spectroradiometer [MODIS] sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data. Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands occupied 45 percent of the area, Meso-hydrophytic grasslands 43 percent and Lithophytic steppes 6 percent. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10 percent higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter [DM] ha -1 yr-1 and Meso-xerophytic grasslands and Lithophytic steppes around 3400kg.DM.ha-1.yr-1. Mesoxerophytic grasslands had the largest spatial variation during most of the year. The ANPP temporal variation was higher than the fPAR variability. Conclusions: Our results provide valuable information for grazing management [identifying spatial and temporal variations of ANPP] and grassland conservation [identifying the spatial distribution of vegetation units]. 
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