期刊
JOURNAL OF ARID ENVIRONMENTS
卷 181, 期 -, 页码 -出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jaridenv.2020.104237
关键词
MaxEnt; Fruit tree; Agroforestry parklands; Bioclimatic variables; Species distribution modeling; Arid climate; Non-timber forest products (NTFPs)
资金
- German Federal Ministry of Education and Research (BMBF) through the program WASCAL (West African Science Service Center on Climate Change and Adapted Land Use)
- Alexander von Humboldt Foundation
- BMBF through the African-German Network of Excellence in Science (AGNES)
Vitellaria paradoxa, the shea tree, an economically important fruit-tree species native to savanna regions is threatened in Burkina Faso due to overexploitation and changing land-use. Furthermore, it remains unclear how climate change will influence its frequency and distribution. We investigated the impact of climate change on the projected spatial distribution of favorable habitats for V. paradoxa. Species distribution modeling techniques implemented in MaxEnt combined with GIS were used to forecast the current and future distribution of V. paradoxa. We selected two climatic scenarios (RCP4.5 and RCP8.5) and two global climate models (MPI-ESM-MR and HadGEM2-ES) to encompass the full range of variation in the models. Presence records of the species were collected and linked to bioclimatic and edaphic variables. The most characteristic and least correlated variables were selected for modeling after a collinearity test. Under current climatic conditions, similar to 51% of the national area was found to be favorable for cultivation and conservation of the species. Under future climate projections, our models predict that favorable habitats of this species will decline by 12% (RCP4.5) and 13% (RCP8.5) by 2070. The predictive modeling approach presented here may be applied to other economically important tree species.
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