Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)

Climate change is predicted to affect species distribution worldwide. Most of the methods used to evaluate such impact so far assume that species respond to the environmental gradients in a uniform way along their distribution range. Because populations occupying different niches may differ in their...

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Main Authors: Séverin Biaou, Gérard Nounagnon Gouwakinnou, Florent Noulèkoun, Kolawolé Valère Salako, Jésugnon Marie Reine Houndjo Kpoviwanou, Thierry Dehouegnon Houehanou, Honoré Samadori Sorotori Biaou
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Global Ecology and Conservation
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Online Access:http://www.sciencedirect.com/science/article/pii/S2351989423001737
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author Séverin Biaou
Gérard Nounagnon Gouwakinnou
Florent Noulèkoun
Kolawolé Valère Salako
Jésugnon Marie Reine Houndjo Kpoviwanou
Thierry Dehouegnon Houehanou
Honoré Samadori Sorotori Biaou
author_facet Séverin Biaou
Gérard Nounagnon Gouwakinnou
Florent Noulèkoun
Kolawolé Valère Salako
Jésugnon Marie Reine Houndjo Kpoviwanou
Thierry Dehouegnon Houehanou
Honoré Samadori Sorotori Biaou
author_sort Séverin Biaou
collection DOAJ
description Climate change is predicted to affect species distribution worldwide. Most of the methods used to evaluate such impact so far assume that species respond to the environmental gradients in a uniform way along their distribution range. Because populations occupying different niches may differ in their response to climate change due to local adaptation, accounting for intraspecific variation in species distribution models (SDMs) may yield more reliable predictions for widely distributed species. Pterocarpus erinaceus Poir is a highly valued but endangered tree species, which occurs in the Sudanian (SZ), Sudano-Guinean (SGZ) and Guinean (GZ) ecological zones of Benin. Here, we used two (whole-species and intraspecific-level) SDM approaches to evaluate how local adaptation, quantified through niche differentiation, influences the potential impact of climate change on the distribution of P. erinaceus in Benin. The maximum entropy (MaxEnt) algorithm was employed to simulate the current and future distributions of the species under various Shared Socioeconomic Pathways (SSPs) climate scenarios. The results showed three distinct populations of the species according to the ecological zones of Benin. The intraspecific populations displayed no niche overlap and thus were considered as locally adapted. Mean diurnal range was the main variable that determined the current distribution of the SZ population (percent contribution of 45.9%) while the distribution of the SGZ and GZ populations were determined by isothermality (percent contribution of 58.7% and 76.2%, respectively). While the whole-species SDMs showed that climate change would lead to significant reductions in the species suitable habitats in SZ under SSP2–4.5, SSP1–2.6, and SSP5–8.5, the SDMs based on intraspecific populations indicated a high decrease in habitat suitability in the GZ and an upward shift of the SGZ towards the SZ under the future climate scenarios. Our results suggest that incorporating intraspecific variation into SDMs improves predictions of the impact of climate change and helps to identify appropriate population-based conservation strategies.
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spelling doaj.art-d5323aa1d0a84c499615f04d0882ca4b2023-06-17T05:18:47ZengElsevierGlobal Ecology and Conservation2351-98942023-09-0145e02538Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)Séverin Biaou0Gérard Nounagnon Gouwakinnou1Florent Noulèkoun2Kolawolé Valère Salako3Jésugnon Marie Reine Houndjo Kpoviwanou4Thierry Dehouegnon Houehanou5Honoré Samadori Sorotori Biaou6Laboratory of Ecology, Botany and Plant Biology, Faculty of Agronomy, University of Parakou, 03 BP 125 Parakou, Benin; Corresponding author.Laboratory of Ecology, Botany and Plant Biology, Faculty of Agronomy, University of Parakou, 03 BP 125 Parakou, BeninDepartment of Environmental Science and Ecological Engineering, Korea University, Seoul, South KoreaLaboratoire de Biomathématiques et d'Estimations Forestières, Faculté des Sciences Agronomiques, Université d’Abomey-Calavi, 04 BP 1525, Cotonou, BeninLaboratory of Forestry Studies and Research, Faculty of Agronomy, University of Parakou, Parakou, BeninLaboratory of Ecology, Botany and Plant Biology, Faculty of Agronomy, University of Parakou, 03 BP 125 Parakou, BeninLaboratory of Ecology, Botany and Plant Biology, Faculty of Agronomy, University of Parakou, 03 BP 125 Parakou, BeninClimate change is predicted to affect species distribution worldwide. Most of the methods used to evaluate such impact so far assume that species respond to the environmental gradients in a uniform way along their distribution range. Because populations occupying different niches may differ in their response to climate change due to local adaptation, accounting for intraspecific variation in species distribution models (SDMs) may yield more reliable predictions for widely distributed species. Pterocarpus erinaceus Poir is a highly valued but endangered tree species, which occurs in the Sudanian (SZ), Sudano-Guinean (SGZ) and Guinean (GZ) ecological zones of Benin. Here, we used two (whole-species and intraspecific-level) SDM approaches to evaluate how local adaptation, quantified through niche differentiation, influences the potential impact of climate change on the distribution of P. erinaceus in Benin. The maximum entropy (MaxEnt) algorithm was employed to simulate the current and future distributions of the species under various Shared Socioeconomic Pathways (SSPs) climate scenarios. The results showed three distinct populations of the species according to the ecological zones of Benin. The intraspecific populations displayed no niche overlap and thus were considered as locally adapted. Mean diurnal range was the main variable that determined the current distribution of the SZ population (percent contribution of 45.9%) while the distribution of the SGZ and GZ populations were determined by isothermality (percent contribution of 58.7% and 76.2%, respectively). While the whole-species SDMs showed that climate change would lead to significant reductions in the species suitable habitats in SZ under SSP2–4.5, SSP1–2.6, and SSP5–8.5, the SDMs based on intraspecific populations indicated a high decrease in habitat suitability in the GZ and an upward shift of the SGZ towards the SZ under the future climate scenarios. Our results suggest that incorporating intraspecific variation into SDMs improves predictions of the impact of climate change and helps to identify appropriate population-based conservation strategies.http://www.sciencedirect.com/science/article/pii/S2351989423001737Climate changeEcological niche modellingPhenotypic plasticityNiche conservatismBenin
spellingShingle Séverin Biaou
Gérard Nounagnon Gouwakinnou
Florent Noulèkoun
Kolawolé Valère Salako
Jésugnon Marie Reine Houndjo Kpoviwanou
Thierry Dehouegnon Houehanou
Honoré Samadori Sorotori Biaou
Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
Global Ecology and Conservation
Climate change
Ecological niche modelling
Phenotypic plasticity
Niche conservatism
Benin
title Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
title_full Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
title_fullStr Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
title_full_unstemmed Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
title_short Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
title_sort incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread west african tree species pterocarpus erinaceus poir fabaceae
topic Climate change
Ecological niche modelling
Phenotypic plasticity
Niche conservatism
Benin
url http://www.sciencedirect.com/science/article/pii/S2351989423001737
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