Current and Future Distribution of Shihuahuaco (Dipteryx spp.) under Climate Change Scenarios in the Central-Eastern Amazon of Peru

The consequences of climate change influence the distribution of species, which plays a key role in ecosystems. In this work, the modeling of the current and potential future distribution was carried out under different climate change scenarios of a tree species of high economic and commercial value...

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Veröffentlicht in:Sustainability 2023-05, Vol.15 (10), p.7789
Hauptverfasser: Cárdenas, Gloria P, Bravo, Nino, Barboza, Elgar, Salazar, Wilian, Ocaña, Jimmy, Vázquez, Miguel, Lobato, Roiser, Injante, Pedro, Arbizu, Carlos I
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container_issue 10
container_start_page 7789
container_title Sustainability
container_volume 15
creator Cárdenas, Gloria P
Bravo, Nino
Barboza, Elgar
Salazar, Wilian
Ocaña, Jimmy
Vázquez, Miguel
Lobato, Roiser
Injante, Pedro
Arbizu, Carlos I
description The consequences of climate change influence the distribution of species, which plays a key role in ecosystems. In this work, the modeling of the current and potential future distribution was carried out under different climate change scenarios of a tree species of high economic and commercial value, Dipteryx spp. This is a hardwood species that plays an important role in carbon sequestration, providing food and nesting for wildlife species, reaching more than 40 m in height with an average diameter of 70 to 150 cm. This species is currently threatened by overexploitation. Thirty-six bioclimatic, topographic and edaphic variables with ~1 km2 spatial resolution obtained from the WorldClim, SoilGrids and SRTM databases where used. Highly correlated variables were identified with the MaxEnt software for forecasting how the species distribution will be affected until the year 2100, according to the climate scenarios SPP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5, representing the periods 2021–2040, 2041–2060, 2061–2080 and 2081–2100, respectively. The AUC accuracy value of 0.88 to 0.89 was found for the distribution models and the highest contributing variables used were Bio 5, precipitation, Bio 2, and Bio 14. In the climate scenario SPP1-2.6 (Bio 5, precipitation and Bio 2) in 2061–2080, suitable and very suitable habitats represented 30.69% of the study area (2616 ha and 586.97 ha, respectively) and those increased by 1.75% under current climate conditions, and the suitable and unsuitable habitats represented 69.31% of the total area. The results of this research provide valuable information on the current and future distribution of the species and identify zones that can be used as the basis for the creation of conservation areas, formulation of restoration projects, reforestation and sustainable management to avoid the extinction of the species in the face of the effects of climate change.
doi_str_mv 10.3390/su15107789
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The AUC accuracy value of 0.88 to 0.89 was found for the distribution models and the highest contributing variables used were Bio 5, precipitation, Bio 2, and Bio 14. In the climate scenario SPP1-2.6 (Bio 5, precipitation and Bio 2) in 2061–2080, suitable and very suitable habitats represented 30.69% of the study area (2616 ha and 586.97 ha, respectively) and those increased by 1.75% under current climate conditions, and the suitable and unsuitable habitats represented 69.31% of the total area. 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In this work, the modeling of the current and potential future distribution was carried out under different climate change scenarios of a tree species of high economic and commercial value, Dipteryx spp. This is a hardwood species that plays an important role in carbon sequestration, providing food and nesting for wildlife species, reaching more than 40 m in height with an average diameter of 70 to 150 cm. This species is currently threatened by overexploitation. Thirty-six bioclimatic, topographic and edaphic variables with ~1 km2 spatial resolution obtained from the WorldClim, SoilGrids and SRTM databases where used. Highly correlated variables were identified with the MaxEnt software for forecasting how the species distribution will be affected until the year 2100, according to the climate scenarios SPP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5, representing the periods 2021–2040, 2041–2060, 2061–2080 and 2081–2100, respectively. The AUC accuracy value of 0.88 to 0.89 was found for the distribution models and the highest contributing variables used were Bio 5, precipitation, Bio 2, and Bio 14. In the climate scenario SPP1-2.6 (Bio 5, precipitation and Bio 2) in 2061–2080, suitable and very suitable habitats represented 30.69% of the study area (2616 ha and 586.97 ha, respectively) and those increased by 1.75% under current climate conditions, and the suitable and unsuitable habitats represented 69.31% of the total area. 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source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Algorithms
Analysis
Bioclimatology
Biodiversity
Climate change
Climate effects
Climatic conditions
Conservation areas
Deforestation
Dipteryx
Endangered & extinct species
Extinction (Biology)
Generalized linear models
Geographical distribution
Global temperature changes
Habitats
Hardwoods
Nesting
Overexploitation
Plant species
Precipitation
Precipitation (Meteorology)
Project management
Rainforests
Reforestation
Software
Spatial discrimination
Spatial resolution
Species extinction
Sustainability
Sustainability management
Threatened species
Topography
Wildlife
Wildlife conservation
Wildlife habitats
Wildlife management
title Current and Future Distribution of Shihuahuaco (Dipteryx spp.) under Climate Change Scenarios in the Central-Eastern Amazon of Peru
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