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Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru

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  • Dany A. Cotrina Sánchez

    (Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru)

  • Elgar Barboza Castillo

    (Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru)

  • Nilton B. Rojas Briceño

    (Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru)

  • Manuel Oliva

    (Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru)

  • Cristóbal Torres Guzman

    (Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, Peru)

  • Carlos A. Amasifuen Guerra

    (Centro Experimental La Molina, Dirección de Recursos Genéticos y Biotecnología, Instituto Nacional de Innovación Agraria (INIA), La Molina 15012, Lima, Peru)

  • Subhajit Bandopadhyay

    (Department of Ecology and Environmental Protection, Poznan University of Life Sciences, Piatkowska 94, 60-649 Poznan, Poland)

Abstract

The 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.

Suggested Citation

  • Dany A. Cotrina Sánchez & Elgar Barboza Castillo & Nilton B. Rojas Briceño & Manuel Oliva & Cristóbal Torres Guzman & Carlos A. Amasifuen Guerra & Subhajit Bandopadhyay, 2020. "Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7945-:d:419759
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    2. Gerson Meza Mori & Cristóbal Torres Guzmán & Manuel Oliva-Cruz & Rolando Salas López & Gladys Marlo & Elgar Barboza, 2022. "Spatial Analysis of Environmentally Sensitive Areas to Soil Degradation Using MEDALUS Model and GIS in Amazonas (Peru): An Alternative for Ecological Restoration," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    3. Jesús Rascón & Wildor Gosgot Angeles & Manuel Oliva-Cruz & Miguel Ángel Barrena Gurbillón, 2022. "Wind Characteristics and Wind Energy Potential in Andean Towns in Northern Peru between 2016 and 2020: A Case Study of the City of Chachapoyas," Sustainability, MDPI, vol. 14(10), pages 1-11, May.

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