Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change
Species distribution modelling (SDM) is an important tool to examine the possible change in the population range and/or niche-shift under current environment and predicted climate change. Monotheca buxifolia is an economically and ecologically important tree species inhabiting Pakistan and Afghanist...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023006242 |
| _version_ | 1811161756190375936 |
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| author | Fayaz Ali Nasrullah Khan Arshad Mahmood Khan Kishwar Ali Farhat Abbas |
| author_facet | Fayaz Ali Nasrullah Khan Arshad Mahmood Khan Kishwar Ali Farhat Abbas |
| author_sort | Fayaz Ali |
| collection | DOAJ |
| description | Species distribution modelling (SDM) is an important tool to examine the possible change in the population range and/or niche-shift under current environment and predicted climate change. Monotheca buxifolia is an economically and ecologically important tree species inhabiting Pakistan and Afghanistan in dense patches, and species range is contracting rapidly. This study hypothesize that predicted climate change might remarkably influence the existing distribution pattern of M. buxifolia in the study area. A total of 75 occurrence locations were identified comprising M. buxifolia as a dominant tree species. The Maximum Entropy (MaxEnt) algorithm was utilized to perform the SDM under current (the 1970s–2000s) and two future climate change scenarios (shared socioeconomic pathways: SSPs 245 and 585) of two time periods (the 2050s and 2070s). The optimal model settings were assessed, and simulation precision was assessed by examining the partial area under the receiver operating characteristic curve (pAUC-ROC). The results showed that out of 39 considered bio-climatic, topographic, edaphic, and remote sensing variables which were utilized in the preliminary model, 6 variables including precipitation of warmest quarter, topographic diversity, global human modification of terrestrial land, normalized difference vegetation index, isothermality, and elevation (in order) were the most influential drivers, and utilized in all reduced SDMs. A high predictive performance (pAUC-ROC; >0.9) of all the considered SDMs was recorded. A total of about 67,684 km2 of geographical area was predicted as suitable habitat (p > 0.8) for M. buxifolia, and Pakistan is the leading country (with about 54,975 km2 of suitable land area) under the current climate scenario. Overall, the existing distribution of the tree species in the study area might face considerable loss (i.e. rate of change %; −27 to −107) in future, and simultaneously a northward (high elevation) niche shift is predicted for all the considered future climate change scenarios. Hence, development and implementation of a coordinated conservation program is required on priority basis to save the tree species in its native geographic range. |
| first_indexed | 2024-04-10T06:19:11Z |
| format | Article |
| id | doaj.art-230672d45c964c2988b4befa062b168a |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-10T06:19:11Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-230672d45c964c2988b4befa062b168a2023-03-02T05:01:28ZengElsevierHeliyon2405-84402023-02-0192e13417Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate changeFayaz Ali0Nasrullah Khan1Arshad Mahmood Khan2Kishwar Ali3Farhat Abbas4Department of Botany, Shaheed Benazir Bhutto University Sheringal, Dir Upper, 18050, Pakistan; Department of Botany, University of Malakand, Dir Lower, 18800, PakistanDepartment of Botany, University of Malakand, Dir Lower, 18800, PakistanDepartment of Botany, Government Hashmat Ali Islamia Associate College Rawalpindi, Rawalpindi, 46300, PakistanCollege of General Education, University of Doha for Science and Technology, P.O. Box 24449, Doha, QatarCollege of Engineering Technology, University of Doha for Science and Technology, P.O. Box 24449, Doha, Qatar; Corresponding author.Species distribution modelling (SDM) is an important tool to examine the possible change in the population range and/or niche-shift under current environment and predicted climate change. Monotheca buxifolia is an economically and ecologically important tree species inhabiting Pakistan and Afghanistan in dense patches, and species range is contracting rapidly. This study hypothesize that predicted climate change might remarkably influence the existing distribution pattern of M. buxifolia in the study area. A total of 75 occurrence locations were identified comprising M. buxifolia as a dominant tree species. The Maximum Entropy (MaxEnt) algorithm was utilized to perform the SDM under current (the 1970s–2000s) and two future climate change scenarios (shared socioeconomic pathways: SSPs 245 and 585) of two time periods (the 2050s and 2070s). The optimal model settings were assessed, and simulation precision was assessed by examining the partial area under the receiver operating characteristic curve (pAUC-ROC). The results showed that out of 39 considered bio-climatic, topographic, edaphic, and remote sensing variables which were utilized in the preliminary model, 6 variables including precipitation of warmest quarter, topographic diversity, global human modification of terrestrial land, normalized difference vegetation index, isothermality, and elevation (in order) were the most influential drivers, and utilized in all reduced SDMs. A high predictive performance (pAUC-ROC; >0.9) of all the considered SDMs was recorded. A total of about 67,684 km2 of geographical area was predicted as suitable habitat (p > 0.8) for M. buxifolia, and Pakistan is the leading country (with about 54,975 km2 of suitable land area) under the current climate scenario. Overall, the existing distribution of the tree species in the study area might face considerable loss (i.e. rate of change %; −27 to −107) in future, and simultaneously a northward (high elevation) niche shift is predicted for all the considered future climate change scenarios. Hence, development and implementation of a coordinated conservation program is required on priority basis to save the tree species in its native geographic range.http://www.sciencedirect.com/science/article/pii/S2405844023006242Species distribution modelsFuture predictionPotential habitat suitabilityBiodiversity lossConservation planning |
| spellingShingle | Fayaz Ali Nasrullah Khan Arshad Mahmood Khan Kishwar Ali Farhat Abbas Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change Heliyon Species distribution models Future prediction Potential habitat suitability Biodiversity loss Conservation planning |
| title | Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change |
| title_full | Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change |
| title_fullStr | Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change |
| title_full_unstemmed | Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change |
| title_short | Species distribution modelling of Monotheca buxifolia (Falc.) A. DC.: Present distribution and impacts of potential climate change |
| title_sort | species distribution modelling of monotheca buxifolia falc a dc present distribution and impacts of potential climate change |
| topic | Species distribution models Future prediction Potential habitat suitability Biodiversity loss Conservation planning |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023006242 |
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