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Elevational distribution patterns of bryophytes in Eastern China - A comprehensive species-trait dataset

  • Yi Ran Wang
  • , Xue Yao
  • , Peng Zheng
  • , Rui Ping Shi
  • , Min Li
  • , Zun Dai
  • , Xing Chen
  • , Shu Wen Tu
  • , Yu Ting Yang
  • , En Dao Wang
  • , Kun Song
  • , Zhong Sheng He
  • , Zhao Chen Zhang
  • , Qi Wu
  • , Hong Yu Zhang
  • , Yu Ling Xiong
  • , En Qi Lou
  • , You Fang Wang
  • , Jian Zhang*
  • , Jian Wang*
  • *此作品的通讯作者
  • Bryology Laboratory
  • East China Normal University
  • Fudan University
  • Lijiang Normal University
  • Conservation and Research Center for Collections
  • Shanghai Science and Technology Museum
  • College of Life Sciences
  • Hebei Normal University
  • Key Laboratory of Fujian Universities for Ecology and Resource Statistics
  • Fujian Agriculture and Forestry University
  • Key Laboratory of Ecology and Resources Statistics
  • Fujian Colleges
  • Lushan Botanical Garden
  • Chinese Academy of Sciences
  • Sun Yat-Sen University
  • Institute of Eco-Chongming
  • School of Ecological and Environmental Sciences

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Climate change significantly affects the dynamics of mountain ecosystems, impacting not only species distributions but also their phenological characteristics. Nevertheless, our comprehension of the effects of climate change on biodiversity is still limited, primarily due to insufficient historical data. The dramatic temperature variations over short distances make permanent monitoring plots along elevational gradients an ideal natural laboratory for investigating species’ responses to climate change. Drawing on field survey information gathered from 2018 to 2022, we have developed a bryophyte species-trait dataset that encompasses 16,920 trait measurements across four categories: taxonomy, distribution, resistance traits, and reproductive traits, derived from 549 species in Eastern China. The compilation of this bryophyte species-trait dataset offers valuable opportunities to deepen our understanding of the factors, constraints, and effects associated with biodiversity variability, while also providing richer insights into predicting species distributions and implementing targeted in-situ conservation strategies.

源语言英语
期刊论文编号2001
期刊Scientific Data
卷12
期1
DOI
出版状态已出版 - 12月 2025

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 13 - 气候行动
    可持续发展目标 13 气候行动

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