Patterns and controls of above - ground net primary production in meadows of Patagonia a remote sensing approach

Questions: [1] Can above-ground net primary production [ANPP] of Patagonian meadows be estimated from remote sensing? [2] How does ANPP of Patagonian meadows change in space and time? Location: Northwestern Patagonia, meadows embedded in a steppe matrix [39-43°S, 70-72 oW; area: 85 000 km 2]. Method...

Descripción completa

Guardado en:
Detalles Bibliográficos
Otros Autores: Irisarri, Jorge Gonzalo Nicolás, Oesterheld, Martín, Paruelo, José María, Texeira, Marcos
Formato: Artículo
Lenguaje:Inglés
Materias:
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2012Irisarri.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 03926cab a22005777a 4500
001 AR-BaUFA000389
003 AR-BaUFA
005 20230405101158.0
008 181208t2012 |||||o|||||00||||eng d
999 |c 46823  |d 46823 
022 |a 1100-9233 
024 |a 10.1111/j.1654-1103.2011.01326.x 
040 |a AR-BaUFA  |c AR-BaUFA 
245 1 0 |a Patterns and controls of above - ground net primary production in meadows of Patagonia   |b a remote sensing approach 
520 |a Questions: [1] Can above-ground net primary production [ANPP] of Patagonian meadows be estimated from remote sensing? [2] How does ANPP of Patagonian meadows change in space and time? Location: Northwestern Patagonia, meadows embedded in a steppe matrix [39-43°S, 70-72 oW; area: 85 000 km 2]. Methods: For the first question, we contrasted field ANPP measurements with MODIS high-spatial resolution [pixel size: 0.0625 km 2] data and developed a model that estimates radiation use efficiency. For the second question, we applied the model to a 6-year MODIS record for 14 meadows whose physiognomic heterogeneity was known from previous work. Results: Up to 77 percent of the field-based ANPP variation was accounted for by the absorbed photosynthetic radiation, based on a linear transformation of the normalized difference vegetation index derived from MODIS data. Mean radiation use efficiency was 0.54 g dry matter MJ -1. ANPP ranged between 610 and 1060 g m -2 year -1, which represents three to 5.3 times the ANPP of the surrounding arid and semi-arid steppes. The inter-annual coefficient of variation of ANPP was 10 percent, which is higher than other systems of similar productivity, but much lower than the surrounding steppes [33 percent]. At the level of management units [paddock], ANPP spatial variations were mainly related to the proportion of Prairies, a proxy for low topographic position in the landscape, and longitude, a proxy for precipitation. ANPP inter-annual variation was most related to latitude, a proxy for temperature. Conclusion: The model developed and tested can be used to infer ANPP from remote sensing data at a spatial resolution that allows one to detect variability within meadows and management units. Variations at both the physiognomic unit and paddock level were associated with geographic patterns and topography. Meadows were three to five times more productive and less fluctuating than nearby steppes. When compared with other ecosystems, their productivity was high, but more variable inter-annually, likely due to exceptionally high variability of precipitation in Patagonia. 
650 |2 Agrovoc  |9 26 
653 0 |a ENHANCED VEGETATION INDEX 
653 0 |a GRASSLANDS 
653 0 |a NORMALIZED DIFFERENCE VEGETATION INDEX 
653 0 |a RADIATION USE EFFICIENCY 
653 0 |a VARIABILITY 
653 0 |a WETLANDS 
653 0 |a ABOVEGROUND PRODUCTION 
653 0 |a ANNUAL VARIATION 
653 0 |a FORAGE 
653 0 |a GRASSLAND 
653 0 |a LIGHT USE EFFICIENCY 
653 0 |a MEADOW 
653 0 |a MODIS 
653 0 |a NDVI 
653 0 |a NET PRIMARY PRODUCTION 
653 0 |a PHOTOSYNTHESIS 
653 0 |a PRECIPITATION INTENSITY 
653 0 |a REMOTE SENSING 
653 0 |a SPATIAL RESOLUTION 
653 0 |a SPATIAL VARIATION 
653 0 |a STEPPE 
653 0 |a TEMPORAL VARIATION 
653 0 |a TOPOGRAPHIC EFFECT 
653 0 |a WETLAND 
653 0 |a PATAGONIA 
700 1 |9 12998  |a Irisarri, Jorge Gonzalo Nicolás 
700 1 |a Oesterheld, Martín  |9 8019 
700 1 |a Paruelo, José María  |9 788 
700 1 |a Texeira, Marcos  |9 32541 
773 |t Journal of Vegetation Science  |g Vol.23, no.1 (2012), p.114-126 
856 |u http://ri.agro.uba.ar/files/intranet/articulo/2012Irisarri.pdf  |i En reservorio  |q application/pdf  |f 2012Irisarri  |x MIGRADOS2018 
856 |u http://www.wiley.com/  |x MIGRADOS2018  |z LINK AL EDITOR 
942 0 0 |c ARTICULO 
942 0 0 |c ENLINEA 
976 |a AAG