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dc.contributor.author
Martinuzzi, Sebastián  
dc.contributor.author
Radeloff, Volker  
dc.contributor.author
Martínez Pastur, Guillermo José  
dc.contributor.author
Rosas, Yamina Micaela  
dc.contributor.author
Lizarraga, Leónidas  
dc.contributor.author
Politi, Natalia  
dc.contributor.author
Rivera, Luis Osvaldo  
dc.contributor.author
Huertas Herrera, Alejandro  
dc.contributor.author
Silveira, Eduarda  
dc.contributor.author
Olah, Ashley  
dc.contributor.author
Pidgeon, Anna Michle  
dc.date.available
2021-10-29T11:16:17Z  
dc.date.issued
2021-11  
dc.identifier.citation
Martinuzzi, Sebastián; Radeloff, Volker; Martínez Pastur, Guillermo José; Rosas, Yamina Micaela; Lizarraga, Leónidas; et al.; Informing forest conservation planning with detailed human footprint data for Argentina; Elsevier; Global Ecology and Conservation; 31; 11-2021; 1-14  
dc.identifier.issn
2351-9894  
dc.identifier.uri
http://hdl.handle.net/11336/145437  
dc.description.abstract
Conserving the remaining wildest forests is a top priority for conservation, and human footprint maps are a practical way to identify wild areas. However, available global assessments of wild areas are too coarse for land use decisions, especially in countries with high deforestation rates, such as Argentina. Our main goal was to map the human footprint in Argentina's forested areas to improve conservation planning at regional and country levels. Specifically, we quantified the level of human influence on the environment and mapped the wildest native forests (i) across forest regions, and (ii) in the different land-use categories of the National Forest Plan, which is a key policy instrument for conserving the nation's native forests through zoning, and (iii) identified wildest forests that are at risk due to human activities. We analyzed detailed spatial data on settlements, transportation, energy, and land use change, and estimated the areal extent to which these various human activities disrupt natural processes. We defined pixels with human footprint index of zero as wildest areas. We found that a substantial portion (43%) of Argentina's forested area remains wild, which suggests there are opportunities for conservation. However, levels of human influence varied substantially among forest regions, and Atlantic and Chaco forests have the highest levels of human influence. Further, we found that the National Forest Plan does not conserve the wildest forests of the nation, as most (78%) of the wildest native forests are located in zones that allow silvopasture, timber production, and/or forest conversion to crops, thus potentially threatening biodiversity in these areas. Our map of wildest forests is an important, but first, step in identifying wildland forests in Argentina, as available spatial data layers of human activities capture many, but not all, human influences on forests. For instance, small human features, like certain rural roads, trails, and rural settlements exist in our wildest areas. Our study provides new datasets to assist land use planners and conservationists, and identifies areas for conservation attention in Argentina. More broadly, our analyses highlight the value of detailed human footprint data to support conservation decisions in forest landscapes.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
HUMAN FOOTPRINT  
dc.subject
HUMAN MODIFICATION  
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LAND USE PLANNING  
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NATIVE FORESTS  
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THREATS  
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WILDERNESS  
dc.subject.classification
Silvicultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Informing forest conservation planning with detailed human footprint data for Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-10-15T14:57:51Z  
dc.journal.volume
31  
dc.journal.pagination
1-14  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Martinuzzi, Sebastián. University of Wisconsin; Estados Unidos  
dc.description.fil
Fil: Radeloff, Volker. University of Wisconsin; Estados Unidos  
dc.description.fil
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina  
dc.description.fil
Fil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina  
dc.description.fil
Fil: Lizarraga, Leónidas. Administración de Parques Nacionales; Argentina  
dc.description.fil
Fil: Politi, Natalia. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina  
dc.description.fil
Fil: Rivera, Luis Osvaldo. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina  
dc.description.fil
Fil: Huertas Herrera, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina  
dc.description.fil
Fil: Silveira, Eduarda. University of Wisconsin; Estados Unidos  
dc.description.fil
Fil: Olah, Ashley. University of Wisconsin; Estados Unidos  
dc.description.fil
Fil: Pidgeon, Anna Michle. University of Wisconsin; Estados Unidos  
dc.journal.title
Global Ecology and Conservation  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2351989421003371?via%3Dihub  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.gecco.2021.e01787