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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.
  • Pandey B; CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
  • Khatiwada JR; University of Chinese Academy of Sciences Beijing China.
  • Zhang L; Department of Herpetology Chengdu Institute of Biology Chengdu China.
  • Pan K; CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
  • Dakhil MA; CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
  • Xiong Q; Botany and Microbiology Department Faculty of Science Helwan University Cairo Egypt.
  • Yadav RKP; CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
  • Siwakoti M; University of Chinese Academy of Sciences Beijing China.
  • Tariq A; CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province Chengdu Institute of Biology Chinese Academy of Sciences Chengdu China.
  • Olatunji OA; Central Department of Botany Tribhuvan University Kathmandu Nepal.
  • Justine MF; Central Department of Botany Tribhuvan University Kathmandu Nepal.
  • Wu X; University of Chinese Academy of Sciences Beijing China.
  • Sun X; State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi China.
  • Liao Z; Xinjiang Desert Plant Roots Ecology and Vegetation Restoration Laboratory Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi China.
  • Negesse ZT; Cele National Station of Observation and Research for Desert-Grassland Ecosystems Cele China.
Ecol Evol ; 10(17): 9474-9485, 2020 Sep.
Article en En | MEDLINE | ID: mdl-32953076
ABSTRACT
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 km2 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.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article