From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China
Macroecological research aims to understand factors influencing species composition and diversity. Understanding the distribution patterns of species is essential for prioritizing areas for conservation. This study investigates the alpha (α) and beta (β) diversity facets of Fagaceae across past (his...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024175056 |
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| author | Bikram Pandey Fengying Zhang Basu Dev Poudel Rong Li Mohammed A. Dakhil Bishal Gurung Zhaxi Luobu Yawen Gan Ziyan Liao Lin Zhang |
| author_facet | Bikram Pandey Fengying Zhang Basu Dev Poudel Rong Li Mohammed A. Dakhil Bishal Gurung Zhaxi Luobu Yawen Gan Ziyan Liao Lin Zhang |
| author_sort | Bikram Pandey |
| collection | DOAJ |
| description | Macroecological research aims to understand factors influencing species composition and diversity. Understanding the distribution patterns of species is essential for prioritizing areas for conservation. This study investigates the alpha (α) and beta (β) diversity facets of Fagaceae across past (historical), present, and future timelines in Southwestern China. We used over 11,000 geographical observations to predict the spatial patterns of the α- and β-diversity of 120 species. We modeled the α-diversity via stacking prediction using an individual species distribution model at 50 km × 50 km grid cells. We used Sørensen dissimilarity to quantify total β-diversity and its components - turnover (βSIM) and nestedness (βNES). We integrated climate variables along with topographic and plant trait predictors to understand the species diversity. Finally, simultaneous autoregression (SAR) model was used to evaluate the effects of predictor variables on the α- and β-diversity patterns. Our results indicate a projected decline in α-diversity and an increase in β-diversity in the future. The findings underscore that the species βSIM is a driving factor of differing species composition during the past and present periods, while βNES will be a dominant factor in the future. Similarly, climatic and topographic factors significantly influenced the α-diversity and the β-diversity. In the future, climatic variables will play a significant role in determining the diversity patterns. By closely studying how various species respond and adapt to these changes, we can gain valuable insights into the dynamics of ecosystems and the potential threats to biodiversity. |
| format | Article |
| id | doaj-art-7ada67415a51485abe98a7bb0906ce14 |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-7ada67415a51485abe98a7bb0906ce142025-02-02T05:27:48ZengElsevierHeliyon2405-84402025-01-01112e41474From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern ChinaBikram Pandey0Fengying Zhang1Basu Dev Poudel2Rong Li3Mohammed A. Dakhil4Bishal Gurung5Zhaxi Luobu6Yawen Gan7Ziyan Liao8Lin Zhang9CAS Key Laboratory of Mountain Ecological Restoration and Bio-resource Utilization and Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, Sichuan, China; CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, Yunnan, ChinaSichuan Provincial Institute of Forestry and Grassland Inventory and Planning, Chengdu, 610081, Sichuan, ChinaEnvironmental Services Nepal, Kathmandu, NepalCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, Yunnan, ChinaSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China; Botany and Microbiology Department, Faculty of Science, Helwan University, Cairo, 11790, EgyptCAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China; University of Chinese Academy of Sciences, Beijing, ChinaInstitute of Agriculture Research, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, 850032, Tibet, ChinaInstitute of Agriculture Research, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, 850032, Tibet, ChinaCAS Key Laboratory of Mountain Ecological Restoration and Bio-resource Utilization and Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, Sichuan, ChinaCAS Key Laboratory of Mountain Ecological Restoration and Bio-resource Utilization and Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, Sichuan, ChinaMacroecological research aims to understand factors influencing species composition and diversity. Understanding the distribution patterns of species is essential for prioritizing areas for conservation. This study investigates the alpha (α) and beta (β) diversity facets of Fagaceae across past (historical), present, and future timelines in Southwestern China. We used over 11,000 geographical observations to predict the spatial patterns of the α- and β-diversity of 120 species. We modeled the α-diversity via stacking prediction using an individual species distribution model at 50 km × 50 km grid cells. We used Sørensen dissimilarity to quantify total β-diversity and its components - turnover (βSIM) and nestedness (βNES). We integrated climate variables along with topographic and plant trait predictors to understand the species diversity. Finally, simultaneous autoregression (SAR) model was used to evaluate the effects of predictor variables on the α- and β-diversity patterns. Our results indicate a projected decline in α-diversity and an increase in β-diversity in the future. The findings underscore that the species βSIM is a driving factor of differing species composition during the past and present periods, while βNES will be a dominant factor in the future. Similarly, climatic and topographic factors significantly influenced the α-diversity and the β-diversity. In the future, climatic variables will play a significant role in determining the diversity patterns. By closely studying how various species respond and adapt to these changes, we can gain valuable insights into the dynamics of ecosystems and the potential threats to biodiversity.http://www.sciencedirect.com/science/article/pii/S2405844024175056Beta-ratioGeographic distanceMacro-diversity patternSpecies distribution modellingSpecies turnover |
| spellingShingle | Bikram Pandey Fengying Zhang Basu Dev Poudel Rong Li Mohammed A. Dakhil Bishal Gurung Zhaxi Luobu Yawen Gan Ziyan Liao Lin Zhang From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China Heliyon Beta-ratio Geographic distance Macro-diversity pattern Species distribution modelling Species turnover |
| title | From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China |
| title_full | From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China |
| title_fullStr | From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China |
| title_full_unstemmed | From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China |
| title_short | From α-to β-diversity: Understanding the historical, present, and future diversity patterns of Fagaceae in Southwestern China |
| title_sort | from α to β diversity understanding the historical present and future diversity patterns of fagaceae in southwestern china |
| topic | Beta-ratio Geographic distance Macro-diversity pattern Species distribution modelling Species turnover |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024175056 |
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