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dc.contributor.author
García, César Luis  
dc.contributor.author
Teich, Ingrid  
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Gonzalez Roglich, Mariano  
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Kindgard, Adolfo Federico  
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Ravelo, Andres Carlos  
dc.contributor.author
Liniger, Hanspeter  
dc.date.available
2020-11-12T16:39:05Z  
dc.date.issued
2019-01  
dc.identifier.citation
García, César Luis; Teich, Ingrid; Gonzalez Roglich, Mariano; Kindgard, Adolfo Federico; Ravelo, Andres Carlos; et al.; Land degradation assessment in the Argentinean Puna: Comparing expert knowledge with satellite-derived information; Elsevier; Environmental Science & Policy; 91; 1-2019; 70-80  
dc.identifier.issn
1462-9011  
dc.identifier.uri
http://hdl.handle.net/11336/118264  
dc.description.abstract
The Puna region, located in NW Argentina, is a dry highland with many endemic species and significant traditional cultural heritage. The Puna was a pilot region for the Land Degradation Assessment in Drylands project (LADA-FAO) which aimed at assessing desertification status in different land use systems (LUS). The results of these assessments are used for reporting to the United Nations Convention to Combat Desertification (UNCCD) and for Land Degradation Neutrality (LDN) monitoring. The assessment was performed using an expert knowledge questionnaire following the World Overview of Conservation Approaches and Technologies initiative methodology (LADA-WOCAT), on LUS map units obtained by a participatory mapping methodology. In this article we compare the inferences on land degradation status and its temporal trends derived from LADAWOCAT method with those obtained from remotely sensed data. Our aim is to understand similarities and differences in the assessments in order to provide recommendations and suggestions on improved LDN assessment methods, reporting and monitoring. Our results suggest that the LADA-WOCAT participatory mapping successfully delineated LUSs with different phenological characteristics over an extended area. However, the trend and the degradation processes described by experts at the LUS scale did not agree with the ones derived from satellite data. Results obtained at pixel scale help in identifying areas undergoing potential human induced degradation processes and specific areas of agreement between methods. The spatial scale of land degradation assessments obtained by either satellite or expert knowledge may impact the accuracy of the final results. A methodology integrating satellite and expert opinion data at an appropriate scale needs to coalesce to make the most of both data sources and gain accuracy in land degradation and LDN assessments.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
LAND DEGRADATION NEUTRALITY  
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NDVI  
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PDSI  
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REMOTE SENSING  
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TREND ANALYSIS  
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Sensores Remotos  
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Ingeniería del Medio Ambiente  
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INGENIERÍAS Y TECNOLOGÍAS  
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Otras Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
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Otras Ingenierías y Tecnologías  
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Otras Ingenierías y Tecnologías  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Land degradation assessment in the Argentinean Puna: Comparing expert knowledge with satellite-derived information  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-11-11T19:24:24Z  
dc.journal.volume
91  
dc.journal.pagination
70-80  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas. Universidad Católica de Córdoba. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas; Argentina  
dc.description.fil
Fil: Teich, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Fisiología y Recursos Genéticos Vegetales; Argentina  
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Fil: Gonzalez Roglich, Mariano. Conservation International. Betty & Gordon Moore Center for Science; Argentina  
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Fil: Kindgard, Adolfo Federico. Food and Agriculture Organization; Italia  
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Fil: Ravelo, Andres Carlos. Universidad Nacional de Córdoba. Facultad de Ciencias Agropecuarias. Cátedra de Climatología Agrícola; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina  
dc.description.fil
Fil: Liniger, Hanspeter. University of Bern; Suiza  
dc.journal.title
Environmental Science & Policy  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.envsci.2018.10.018  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S1462901118306397