Climate change threatens native potential agroforestry plant species in Brazil

被引:30
|
作者
Lima, Valdeir Pereira [1 ,2 ]
Ferreira de Lima, Renato Augusto [3 ,4 ]
Joner, Fernando [2 ]
Siddique, Ilyas [1 ,2 ]
Raes, Niels [3 ,5 ]
Ter Steege, Hans [3 ,6 ]
机构
[1] Univ Fed Santa Catarina, Brazil Vallldeir Gmailcom, BR-88034000 Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Dept Fitotecnia, BR-88034000 Florianopolis, SC, Brazil
[3] Nat Biodivers Ctr, POB 9517, NL-2300 RA Leiden, Netherlands
[4] Univ Sao Paulo, Inst Biociencias, Dept Ecol, BR-05508090 Sao Paulo, SP, Brazil
[5] NLBIF Netherlands Biodivers Informat Facil, Leiden, Netherlands
[6] Free Univ Amsterdam, Syst Ecol, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands
基金
欧盟地平线“2020”;
关键词
DISTRIBUTION MODELS; CARBON STOCKS; CONSERVATION; SCALE; SYSTEMS; BIODIVERSITY; OPPORTUNITIES; DISTRIBUTIONS; RESTORATION; LANDSCAPES;
D O I
10.1038/s41598-022-06234-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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收藏
页数:14
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