Fecha/hora: 16/06/2024 04:28:42

Biblioteca(s): 	INIA Las Brujas.	
Fecha corriente: 	20/08/2021	
Fecha de la última actualización: 	20/08/2021	
Autoria: 	IRISARRI, J.G.N.; TEXEIRA, M.; OESTERHELD, M.; VERÓN, S.R.; DELLA NAVE, F.; PARUELO, J.	
Afiliación: 	J. GONZALO N. IRISARRI, Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; MARCOS TEXEIRA, Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; MARTÍN OESTERHELD, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; SANTIAGO R. VERÓN, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA), Departamento de Métodos Cuantitativos y Sistemas de. Información, Facultad de Agronomía, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; FACUNDO DELLA NAVE, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, LART IFEVA, Univ. Bs.As., CONICET, Bs.As. Argentina; Fac. Ciencias, IECA, Univ. de la República, Montevideo, Uruguay.	
Título: 	Discriminating the biophysical signal from human-induced effects on long-term primary production dynamics. The case of Patagonia.	
Año de publicación: 	2021	
Fuente/Imprenta: 	Global Change Biology, 2021, volume 27, Issue 18, Pages 4381 - 4391. Doi: https://doi.org/10.1111/gcb.15733	
ISSN: 	1354-1013	
DOI: 	10.1111/gcb.15733	
Idioma: 	Inglés	
Notas: 	Article history: Received 20 January 2021, Accepted 13 May 2021, To be published September 2021.
Supplementary material.
Corresponging author: Irisarri, J.G.N.; Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina; email:irisarri@agro.uba.ar	
Contenido: 	ABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative. © 2021 John Wiley & Sons Ltd.	
Palabras-Clave: 	Ecosystems; ENSO; Environmental variations; GIMMS; NDVI; RESTREND; SOI.	
Categoría del tema: 	F01 Cultivo	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (102814-1) - PXI - AP - DD - PP/GLOBAL CHANGE BIOLOGY/2021 -  -  - DIS