Cargando…
Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China
Studying the pattern of species richness is crucial in understanding the diversity and distribution of organisms in the earth. Climate and human influences are the major driving factors that directly influence the large‐scale distributions of plant species, including gymnosperms. Understanding how g...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487259/ https://www.ncbi.nlm.nih.gov/pubmed/32953076 http://dx.doi.org/10.1002/ece3.6639 |
_version_ | 1783581455589310464 |
---|---|
author | Pandey, Bikram Khatiwada, Janak R. Zhang, Lin Pan, Kaiwen Dakhil, Mohammed A. Xiong, Qinli Yadav, Ram Kailash P. Siwakoti, Mohan Tariq, Akash Olatunji, Olusanya Abiodun Justine, Meta Francis Wu, Xiaogang Sun, Xiaoming Liao, Ziyan Negesse, Zebene Tadesse |
author_facet | Pandey, Bikram Khatiwada, Janak R. Zhang, Lin Pan, Kaiwen Dakhil, Mohammed A. Xiong, Qinli Yadav, Ram Kailash P. Siwakoti, Mohan Tariq, Akash Olatunji, Olusanya Abiodun Justine, Meta Francis Wu, Xiaogang Sun, Xiaoming Liao, Ziyan Negesse, Zebene Tadesse |
author_sort | Pandey, Bikram |
collection | PubMed |
description | Studying the pattern of species richness is crucial in understanding the diversity and distribution of organisms in the earth. Climate and human influences are the major driving factors that directly influence the large‐scale distributions of plant species, including gymnosperms. Understanding how gymnosperms respond to climate, topography, and human‐induced changes is useful in predicting the impacts of global change. Here, we attempt to evaluate how climatic and human‐induced processes could affect the spatial richness patterns of gymnosperms in China. Initially, we divided a map of the country into grid cells of 50 × 50 km(2) spatial resolution and plotted the geographical coordinate distribution occurrence of 236 native gymnosperm taxa. The gymnosperm taxa were separated into three response variables: (a) all species, (b) endemic species, and (c) nonendemic species, based on their distribution. The species richness patterns of these response variables to four predictor sets were also evaluated: (a) energy–water, (b) climatic seasonality, (c) habitat heterogeneity, and (d) human influences. We performed generalized linear models (GLMs) and variation partitioning analyses to determine the effect of predictors on spatial richness patterns. The results showed that the distribution pattern of species richness was highest in the southwestern mountainous area and Taiwan in China. We found a significant relationship between the predictor variable set and species richness pattern. Further, our findings provide evidence that climatic seasonality is the most important factor in explaining distinct fractions of variations in the species richness patterns of all studied response variables. Moreover, it was found that energy–water was the best predictor set to determine the richness pattern of all species and endemic species, while habitat heterogeneity has a better influence on nonendemic species. Therefore, we conclude that with the current climate fluctuations as a result of climate change and increasing human activities, gymnosperms might face a high risk of extinction. |
format | Online Article Text |
id | pubmed-7487259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74872592020-09-18 Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China Pandey, Bikram Khatiwada, Janak R. Zhang, Lin Pan, Kaiwen Dakhil, Mohammed A. Xiong, Qinli Yadav, Ram Kailash P. Siwakoti, Mohan Tariq, Akash Olatunji, Olusanya Abiodun Justine, Meta Francis Wu, Xiaogang Sun, Xiaoming Liao, Ziyan Negesse, Zebene Tadesse Ecol Evol Original Research Studying the pattern of species richness is crucial in understanding the diversity and distribution of organisms in the earth. Climate and human influences are the major driving factors that directly influence the large‐scale distributions of plant species, including gymnosperms. Understanding how gymnosperms respond to climate, topography, and human‐induced changes is useful in predicting the impacts of global change. Here, we attempt to evaluate how climatic and human‐induced processes could affect the spatial richness patterns of gymnosperms in China. Initially, we divided a map of the country into grid cells of 50 × 50 km(2) spatial resolution and plotted the geographical coordinate distribution occurrence of 236 native gymnosperm taxa. The gymnosperm taxa were separated into three response variables: (a) all species, (b) endemic species, and (c) nonendemic species, based on their distribution. The species richness patterns of these response variables to four predictor sets were also evaluated: (a) energy–water, (b) climatic seasonality, (c) habitat heterogeneity, and (d) human influences. We performed generalized linear models (GLMs) and variation partitioning analyses to determine the effect of predictors on spatial richness patterns. The results showed that the distribution pattern of species richness was highest in the southwestern mountainous area and Taiwan in China. We found a significant relationship between the predictor variable set and species richness pattern. Further, our findings provide evidence that climatic seasonality is the most important factor in explaining distinct fractions of variations in the species richness patterns of all studied response variables. Moreover, it was found that energy–water was the best predictor set to determine the richness pattern of all species and endemic species, while habitat heterogeneity has a better influence on nonendemic species. Therefore, we conclude that with the current climate fluctuations as a result of climate change and increasing human activities, gymnosperms might face a high risk of extinction. John Wiley and Sons Inc. 2020-08-08 /pmc/articles/PMC7487259/ /pubmed/32953076 http://dx.doi.org/10.1002/ece3.6639 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Pandey, Bikram Khatiwada, Janak R. Zhang, Lin Pan, Kaiwen Dakhil, Mohammed A. Xiong, Qinli Yadav, Ram Kailash P. Siwakoti, Mohan Tariq, Akash Olatunji, Olusanya Abiodun Justine, Meta Francis Wu, Xiaogang Sun, Xiaoming Liao, Ziyan Negesse, Zebene Tadesse Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China |
title | Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China |
title_full | Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China |
title_fullStr | Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China |
title_full_unstemmed | Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China |
title_short | Energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in China |
title_sort | energy–water and seasonal variations in climate underlie the spatial distribution patterns of gymnosperm species richness in china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487259/ https://www.ncbi.nlm.nih.gov/pubmed/32953076 http://dx.doi.org/10.1002/ece3.6639 |
work_keys_str_mv | AT pandeybikram energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT khatiwadajanakr energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT zhanglin energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT pankaiwen energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT dakhilmohammeda energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT xiongqinli energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT yadavramkailashp energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT siwakotimohan energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT tariqakash energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT olatunjiolusanyaabiodun energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT justinemetafrancis energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT wuxiaogang energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT sunxiaoming energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT liaoziyan energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina AT negessezebenetadesse energywaterandseasonalvariationsinclimateunderliethespatialdistributionpatternsofgymnospermspeciesrichnessinchina |