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dc.contributor.authorCotrina Sánchez, Dany A.-
dc.contributor.authorBarboza Castillo, Elgar-
dc.contributor.authorRojas Briceño, Nilton B.-
dc.contributor.authorOliva Cruz, Manuel-
dc.contributor.authorTorres Guzmán, Cristóbal-
dc.contributor.authorAmasifuen Guerra, Carlos Alberto-
dc.contributor.authorBandopadhyay, Subhajit-
dc.coverage.spatialPerúes_PE
dc.date.accessioned2020-09-25T18:37:42Z-
dc.date.available2020-09-25T18:37:42Z-
dc.date.issued2020-09-25-
dc.identifier.citationCotrina Sánchez, D.A.; Barboza Castillo, E.; Rojas Briceño, N.B.; Oliva, M.; Torres Guzman, C.; Amasifuen Guerra, C.A.; Bandopadhyay, S. Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru. Sustainability 2020, 12, 7945.es_PE
dc.identifier.urihttp://repositorio.inia.gob.pe/handle/20.500.12955/1139-
dc.description.abstractThe Andean-Amazonian landscape has been universally recognized for its wide biodiversity, and is considered as global repository of ecosystem services. However, the severe loss of forest cover and rapid reduction of the timber species seriously threaten this ecosystem and biodiversity. In this study, we have modeled the distribution of the ten most exploited timber forest species in Amazonas (Peru) to identify priority areas for forest conservation and restoration. Statistical and cartographic protocols were applied with 4454 species records and 26 environmental variables using a Maximum Entropy model (MaxEnt). The result showed that the altitudinal variable was the main regulatory factor that significantly controls the distribution of the species. We found that nine species are distributed below 1000 m above sea level (a.s.l.), except Cedrela montana, which was distributed above 1500 m a.s.l., covering 40.68%. Eight of 10 species can coexist, and the species with the highest percentage of potential restoration area is Cedrela montana (14.57% from Amazonas). However, less than 1.33% of the Amazon has a potential distribution of some species and is protected under some category of conservation. Our study will contribute as a tool for the sustainable management of forests and will provide geographic information to complement forest restoration and conservation plans.es_PE
dc.description.tableofcontents1. Introduction. 2. Materials and Methods. 3. Results. 4. Discussion. 5. Conclusions. References.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherMDPIes_PE
dc.relation.ispartofSustainability 2020, 12(19), 7945es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.sourceInstituto Nacional de Innovación Agrariaes_PE
dc.source.uriRepositorio Institucional - INIAes_PE
dc.subjectAmazones_PE
dc.subjectMaximum entropyes_PE
dc.subjectTimberes_PE
dc.subjectSpecies distributiones_PE
dc.subjectForest recoveryes_PE
dc.subjectPerues_PE
dc.titleDistribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Perues_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.subject.ocdeForestales_PE
dc.identifier.journalSustainabilityes_PE
dc.relation.publisherversionhttps://doi.org/10.3390/su12197945es_PE
dc.publisher.countrySwitzerlandes_PE
dc.identifier.doihttps://doi.org/10.3390/su12197945-
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