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Effects of climatic change on the potential geographic distribution of the threatened West‐Central African endemic genus, Talbotiella
Author(s) -
Asase Alex,
JiménezGarcía Daniel,
Peterson Andrew
Publication year - 2021
Publication title -
african journal of ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.499
H-Index - 54
eISSN - 1365-2028
pISSN - 0141-6707
DOI - 10.1111/aje.12845
Subject(s) - threatened species , geography , environmental niche modelling , extinction (optical mineralogy) , genus , habitat , ecology , range (aeronautics) , biodiversity , climate change , habitat destruction , conservation status , ecological niche , niche , species distribution , data deficient , endemism , biology , paleontology , materials science , composite material
Climate change is considered to be a leading cause of species extinction, yet the likely effects of climate change on geographic distributions and conservation status of many threatened African plants have not seen detailed evaluation. Here, we used ecological niche modelling approaches to explore and evaluate climate change effects on potential geographic distributions of plants of the threatened West‐Central African genus Talbotiella . Our models showed that suitability was lower in the northern parts of its range in West Africa and at it's southern extremes in West‐Central Africa. Areas of West Africa between Liberia and southwestern Ghana were identified as potentially suitable areas where new populations or species of the genus could be discovered. Our model transfers to future conditions showed range shifts and contractions in the geographic distribution of the genus; species of the genus are threatened by additional factors such as habitat loss or degradation, agriculture and development of industrial infrastructure. Although species of the genus will likely persist in protected areas, conservation efforts should also include ex situ conservation approaches, particularly as regards individual species in the genus. This study shows how niche modelling approaches could be used to enhance the conservation and discovery of African biodiversity.