It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Climate change is one of the main drivers of species extinction in the twentyfirst-century. Here, we (1) quantify potential changes in species' bioclimatic area of habitat (BAH) of 135 native potential agroforestry species from the Brazilian flora, using two different climate change scenarios (SSP2-4.5 and SSP5-8.5) and dispersal scenarios, where species have no ability to disperse and reach new areas (non-dispersal) and where species can migrate within the estimated BAH (full dispersal) for 2041–2060 and 2061–2080. We then (2) assess the preliminary conservation status of each species based on IUCN criteria. Current and future potential habitats for species were predicted using MaxEnt, a machine-learning algorithm used to estimate species' probability distribution. Future climate is predicted to trigger a mean decline in BAH between 38.5–56.3% under the non-dispersal scenario and between 22.3–41.9% under the full dispersal scenario for 135 native potential agroforestry species. Additionally, we found that only 4.3% of the studied species could be threatened under the IUCN Red List criteria B1 and B2. However, when considering the predicted quantitative habitat loss due to climate change (A3c criterion) the percentages increased between 68.8–84.4% under the non-dispersal scenario and between 40.7–64.4% under the full dispersal scenario. To lessen such threats, we argue that encouraging the use of these species in rural and peri-urban agroecosystems are promising, complementary strategies for their long-term conservation.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Universidade Federal de Santa Catarina, Programa de Pós-Graduação em Recursos Genéticos Vegetais, Florianópolis, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235); Universidade Federal de Santa Catarina, Departamento de Fitotecnia, Florianópolis, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235)
2 Naturalis Biodiversity Center, Leiden, The Netherlands (GRID:grid.425948.6) (ISNI:0000 0001 2159 802X); Universidade de São Paulo, Departamento de Ecologia, Instituto de Biociências, São Paulo, Brazil (GRID:grid.11899.38) (ISNI:0000 0004 1937 0722)
3 Universidade Federal de Santa Catarina, Departamento de Fitotecnia, Florianópolis, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235)
4 Naturalis Biodiversity Center, Leiden, The Netherlands (GRID:grid.425948.6) (ISNI:0000 0001 2159 802X); NLBIF – Netherlands Biodiversity Information Facility, Leiden, The Netherlands (GRID:grid.425948.6)
5 Naturalis Biodiversity Center, Leiden, The Netherlands (GRID:grid.425948.6) (ISNI:0000 0001 2159 802X); Free University, Systems Ecology, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227)




