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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
05/11/2021 |
Actualizado : |
05/11/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
AGUIAR, S.; MASTRÁNGELO, M.E.; TEXEIRA, M.; MEYFROIDT, P.; VOLANTE, J.N.; PARUELO, J. |
Afiliación : |
SEBASTIÁN AGUIAR, IFEVA, Facultad de Agronomía, CONICET, Bs. As., Argentina; Facultad de Agronomía, Universidad de Buenos Aires, Bs. As., Argentina; MATÍAS E. MASTRÁNGELO, Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP), National University of Mar del Plata, CONICET, Balcarce, Argentina; MARCOS TEXEIRA, IFEVA, Facultad de Agronomía, CONICET, Bs. As., Argentina; Dpto. de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Bs. As., Argentina; PATRICK MEYFROIDT, Fonds de la Recherche Scientifique, F.R.S. – FNRS, Brussels, Belgium; Université catholique de Louvain, Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research (TECLIM), Belgium; JOSÉ N. VOLANTE, Laboratorio de Teledetección y SIG, Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Salta, Salta, Argentina; JOSÉ PARUELO, IFEVA, Facultad de Agronomía, CONICET, Bs. As; Dpto. de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Bs. As., Argentina; INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Roads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Land Use Policy, 2022, Volume 112, Article number 105806. Bronze Open Access. doi: https://doi.org/10.1016/j.landusepol.2021.105806 |
ISSN : |
0264-8377 |
DOI : |
10.1016/j.landusepol.2021.105806 |
Idioma : |
Inglés |
Notas : |
Article history: Received 20 May 2020; Revised 12 May 2021; Accepted 2 October 2021; Available online 24 October 2021.
Funding information: This work was carried out with the aid of grants from ANPCyT and the Inter-American Institute for Global Change Research (IAI) CRN3095 (Bridging Ecosystem Services and Territorial Planning (BEST-P)): A southern South American initiative, which is supported by the US National Science Foundation (Grant GEO-1128040 ). CONICET and UBA also provided funding through undergraduate and graduate scholarships to S.A.
* Corresponding author. Sebastián Aguiar, E-mail address: aguiarse@agro.uba.ar (S. Aguiar). |
Contenido : |
ABSTRACT.- Dry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitability had direct effects on forest cover maintenance, while precipitation affected it both directly and indirectly through influencing the institutional (land tenure) and infrastructure (road density). Indigenous communities positively affected forest maintenance both directly and indirectly mediated by non-private land tenure. Our results suggest that disentangling the structure of the relationships among drivers could increase our capacity for understanding and steering land-use change. Furthermore, policies for halting deforestation might increase their effectiveness by accounting for the mechanisms that underlie forest loss and maintenance. © 2021 Elsevier Ltd MenosABSTRACT.- Dry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitabilit... Presentar Todo |
Palabras claves : |
Argentina; Deforestation; Gran Chaco; Land cover change; Land-use change; Structural equation modeling; Subtropical dry forests. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
https://www.sciencedirect.com/science/article/pii/S0264837721005299/pdfft?md5=6c909b5f4be8e3f10b9975b6e7a89064&pid=1-s2.0-S0264837721005299-main.pdf
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Marc : |
LEADER 03777naa a2200301 a 4500 001 1062519 005 2021-11-05 008 2021 bl uuuu u00u1 u #d 022 $a0264-8377 024 7 $a10.1016/j.landusepol.2021.105806$2DOI 100 1 $aAGUIAR, S. 245 $aRoads and land tenure mediate the effects of precipitation on forest cover change in the Argentine Dry Chaco.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 20 May 2020; Revised 12 May 2021; Accepted 2 October 2021; Available online 24 October 2021. Funding information: This work was carried out with the aid of grants from ANPCyT and the Inter-American Institute for Global Change Research (IAI) CRN3095 (Bridging Ecosystem Services and Territorial Planning (BEST-P)): A southern South American initiative, which is supported by the US National Science Foundation (Grant GEO-1128040 ). CONICET and UBA also provided funding through undergraduate and graduate scholarships to S.A. * Corresponding author. Sebastián Aguiar, E-mail address: aguiarse@agro.uba.ar (S. Aguiar). 520 $aABSTRACT.- Dry forests are among the most threatened ecosystems globally, due to agricultural expansion driven by the increasing demand for food, fibers, and energy in developed and emerging countries. Among these, the forests of the South American Gran Chaco are one of the global deforestation hotspots. The Argentine Dry Chaco has been the focus of several studies that assess the factors that drive forest conversion. However, these studies do not describe the causal relationships among these drivers and seldom use existing theory to select drivers. Here we employ a theory-driven approach to test the relative merits of alternative and complementary hypotheses to explain the drivers and mechanisms explaining the unequal spatial distribution of forest loss and maintenance in the Argentine Dry Chaco from 2000 to 2010. Using structural equation modeling, we quantified the direct and indirect effects of multiple drivers and compared the explanatory power and parsimony of these alternative hypotheses, i.e. the biophysical, infrastructure, socio-demographic, institutional, and the integration of them. For both forest loss and maintenance, the model containing infrastructural drivers had the best balance between parsimony and explanatory power. Integrated models, comprising a combination of drivers, had the highest explanatory power (R2 = 0.81 for forest maintenance, and R2 = 0.58 for forest loss). We show that biophysical constraints operate directly and indirectly: soil suitability had direct effects on forest cover maintenance, while precipitation affected it both directly and indirectly through influencing the institutional (land tenure) and infrastructure (road density). Indigenous communities positively affected forest maintenance both directly and indirectly mediated by non-private land tenure. Our results suggest that disentangling the structure of the relationships among drivers could increase our capacity for understanding and steering land-use change. Furthermore, policies for halting deforestation might increase their effectiveness by accounting for the mechanisms that underlie forest loss and maintenance. © 2021 Elsevier Ltd 653 $aArgentina 653 $aDeforestation 653 $aGran Chaco 653 $aLand cover change 653 $aLand-use change 653 $aStructural equation modeling 653 $aSubtropical dry forests 700 1 $aMASTRÁNGELO, M.E. 700 1 $aTEXEIRA, M. 700 1 $aMEYFROIDT, P. 700 1 $aVOLANTE, J.N. 700 1 $aPARUELO, J. 773 $tLand Use Policy, 2022, Volume 112, Article number 105806. Bronze Open Access. doi: https://doi.org/10.1016/j.landusepol.2021.105806
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
09/11/2017 |
Actualizado : |
09/01/2018 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMÉNEZ, A.; CASTAÑO, J.P.; CAL, A.; TISCORNIA, G.; SCHIAVI, C.; WADSWORTH, C. |
Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CRISTINE WADSWORTH MAIORANO, INIA (Instituto Nacional de Investigación Agropecuaria). |
Título : |
Informe agroclimático 2017 - Situación a Setiembre. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2017. |
Páginas : |
4 p. |
Idioma : |
Español |
Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2017; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7862/1/Informe-agroclimatico-INIA-GRAS-setiembre-de-2017.pdf
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Marc : |
LEADER 02145nam a2200817 a 4500 001 1057737 005 2018-01-09 008 2017 bl uuuu u0uu1 u #d 100 1 $aGIMÉNEZ, A. 245 $aInforme agroclimático 2017 - Situación a Setiembre.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2017 300 $a4 p. 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPORACION 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSUELO 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGROCLIMA 653 $aAGROCLIMATOLOGÍA 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aESTRÉS HÍDRICO 653 $aGRAFICAS AGROCLIMATICOS 653 $aGRAS 653 $aHELIOFANOGRAFO 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2017 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSIMETRICO 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aCASTAÑO, J.P. 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C. 700 1 $aWADSWORTH, C.
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