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Niche width of above- and below-ground organisms varied in predicting biodiversity profiling along a latitudinal gradient.
Feng, Kai; Wang, Shang; Wei, Ziyan; Wang, Zhujun; Zhang, Zhaojing; Wu, Yueni; Zhang, Yuguang; Deng, Ye.
Afiliação
  • Feng K; CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
  • Wang S; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
  • Wei Z; CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
  • Wang Z; Institute for Marine Science and Technology, Shandong University, Qingdao, China.
  • Zhang Z; CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
  • Wu Y; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
  • Zhang Y; CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
  • Deng Y; Institute for Marine Science and Technology, Shandong University, Qingdao, China.
Mol Ecol ; 29(10): 1890-1902, 2020 05.
Article em En | MEDLINE | ID: mdl-32299139
ABSTRACT
Biodiversity is the foundation of all ecosystems across the planet, and having a better understanding of its global distribution mechanism could be important for biodiversity conservation under global change. A niche width model, combined with metabolic theory, has successfully predicted the increase of α-diversity and decrease of ß-diversity in the below-ground microbial community along an altitudinal mountain gradient. In this study, we evaluated this niche width model of above-ground plants (mainly trees and shrubs) and below-ground bulk soil microbial communities (i.e., bacteria and archaea) along a latitudinal gradient of forests in China. The niche widths of both plants and microbes increased with increasing temperature and precipitation, and with proximity to circumneutral pH. However, the α- and ß-diversities (observed richness and Bray-Curtis dissimilarity, respectively) could not be accurately predicted by a single niche width model alone, either temperature, precipitation or pH. Considering the interactions among different niche width models, all three niche width models were combined to predict biodiversity at the community level using structural equation modelling. The results showed that the niche width model of circumneutral pH was most important in predicting diversity profiling (i.e., α- and ß-diversity) for both plants and microbes, while niche width of precipitation and temperature showed both direct and indirect importance for microbe and plant biodiversity, respectively. Because the current niche width model neglects several scenarios related to taxon and environmental attributes, it still needs to be treated with caution in predicting biodiversity trends.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiologia do Solo / Ecossistema / Biodiversidade Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Mol Ecol Assunto da revista: BIOLOGIA MOLECULAR / SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Microbiologia do Solo / Ecossistema / Biodiversidade Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Mol Ecol Assunto da revista: BIOLOGIA MOLECULAR / SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China
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