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dc.contributor.author
Politi, Natalia  
dc.contributor.author
Rivera, Luis Osvaldo  
dc.contributor.author
Martinuzzi, Sebastián  
dc.contributor.author
Radeloff, Volker  
dc.contributor.author
Pidgeon, Anna Michle  
dc.date.available
2022-02-23T02:45:44Z  
dc.date.issued
2021-06  
dc.identifier.citation
Politi, Natalia; Rivera, Luis Osvaldo; Martinuzzi, Sebastián; Radeloff, Volker; Pidgeon, Anna Michle; Conservation prioritization when species distribution data are scarce; Elsevier Science; Landscape And Urban Planning; 210; 104067; 6-2021; 1-8  
dc.identifier.issn
0169-2046  
dc.identifier.uri
http://hdl.handle.net/11336/152552  
dc.description.abstract
Prioritizing candidate areas to achieve species richness representation is relatively straightforward when distributions are known for many taxa; however, it may be challenging in data-poor regions. One approach is to focus on the distribution of a few charismatic species in areas that overlap with areas with little human influence, and another is to expand protection in the vicinity of existing protected areas. We assessed the effectiveness of these two approaches for protecting the potential distribution of 21 bird species affiliated with the piedmont dry forest in Argentina. We assessed the degree to which current protected areas met the representation target for each bird species. We found that 8% of the piedmont dry forest and 11% of the extent of occurrence of the bird species within piedmont dry forest were protected, indicating a shortfall. Areas with little human influence that overlap with the distribution of charismatic species had a higher number of bird species than areas with high human influence. Areas within the vicinity of protected areas performed similarly to priority areas, but included high human influence areas. We suggest that a prioritization scheme based on areas of charismatic species distribution that overlap with areas of low human influence can function as an effective surrogate for bird species affiliated with the piedmont dry forest in Argentina. Our results have operational implications for conservation planning in those regions of the world where biodiversity data are poor, but where decisions and actions to sustain biodiversity are urgently needed.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AICHI TARGET  
dc.subject
ARGENTINA  
dc.subject
BIODIVERSITY  
dc.subject
MAXENT  
dc.subject
NEOTROPICAL DRY FOREST  
dc.subject
PROTECTED AREAS  
dc.subject.classification
Conservación de la Biodiversidad  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Conservation prioritization when species distribution data are scarce  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-12-13T19:23:27Z  
dc.journal.volume
210  
dc.journal.number
104067  
dc.journal.pagination
1-8  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
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: Martinuzzi, Sebastián. University of Wisconsin; Estados Unidos  
dc.description.fil
Fil: Radeloff, Volker. University of Wisconsin; Estados Unidos  
dc.description.fil
Fil: Pidgeon, Anna Michle. University of Wisconsin; Estados Unidos  
dc.journal.title
Landscape And Urban Planning  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.landurbplan.2021.104067  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S016920462100030X