Macroclimate and canopy characteristics regulate forest understory microclimatic temperature offsets across China

IF 6.3 1区环境科学与生态学 Q1 ECOLOGY

Global Ecology and Biogeography Pub Date : 2024-03-14 DOI:10.1111/geb.13830

Siying Chen, Pieter De Frenne, Koenraad Van Meerbeek, Qiqian Wu, Yan Peng, Haifeng Zheng, Kun Guo, Chaoxiang Yuan, Ling Xiong, Zemin Zhao, Xiangyin Ni, Fuzhong Wu, Kai Yue

{"title":"Macroclimate and canopy characteristics regulate forest understory microclimatic temperature offsets across China","authors":"Siying Chen, Pieter De Frenne, Koenraad Van Meerbeek, Qiqian Wu, Yan Peng, Haifeng Zheng, Kun Guo, Chaoxiang Yuan, Ling Xiong, Zemin Zhao, Xiangyin Ni, Fuzhong Wu, Kai Yue","doi":"10.1111/geb.13830","DOIUrl":null,"url":null,"abstract":"Forest microclimates can contrast substantially from the macroclimate outside forests. These microclimates regulate understory biodiversity and ecosystem functions. Studies have quantified the global patterns and driving factors of forest understory temperature offsets, but data from China were almost missing, making the global assessment incomplete. To fill this knowledge gap, we quantitatively synthesized 494 paired observations from China extracted from 91 publications to quantify mean (Tmean), maximum (Tmax) and minimum temperature offsets (Tmin). Results showed that (1) forest canopies significantly buffered understory Tmean and Tmax against macroclimatic temperature, with average offsets of 1.0 and 1.5°C, respectively, while understory Tmin offsets were not significantly different from zero; (2) forest type (broadleaved, mixed, vs. coniferous) and forest location (rural vs. urban) did not affect Tmean, Tmax or Tmin offsets, but climate zone and season showed significant impacts; and (3) macroclimatic temperature, wind speed, tree height and canopy density also impacted temperature offsets, although their effects varied among Tmean, Tmax and Tmin. Our results complement the global assessment of forest buffering capacity, and reiterate the necessity for incorporating microclimatic variability into future bioclimatic modelling of species demography and distributions.","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 5","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.13830","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Forest microclimates can contrast substantially from the macroclimate outside forests. These microclimates regulate understory biodiversity and ecosystem functions. Studies have quantified the global patterns and driving factors of forest understory temperature offsets, but data from China were almost missing, making the global assessment incomplete. To fill this knowledge gap, we quantitatively synthesized 494 paired observations from China extracted from 91 publications to quantify mean (T_mean), maximum (T_max) and minimum temperature offsets (T_min). Results showed that (1) forest canopies significantly buffered understory T_mean and T_max against macroclimatic temperature, with average offsets of 1.0 and 1.5°C, respectively, while understory T_min offsets were not significantly different from zero; (2) forest type (broadleaved, mixed, vs. coniferous) and forest location (rural vs. urban) did not affect T_mean, T_max or T_min offsets, but climate zone and season showed significant impacts; and (3) macroclimatic temperature, wind speed, tree height and canopy density also impacted temperature offsets, although their effects varied among T_mean, T_max and T_min. Our results complement the global assessment of forest buffering capacity, and reiterate the necessity for incorporating microclimatic variability into future bioclimatic modelling of species demography and distributions.

查看原文本刊更多论文

宏观气候和冠层特征调节中国各地林下小气候温度偏差

森林小气候与森林外的大气候会有很大反差。这些微气候调节林下生物多样性和生态系统功能。已有研究量化了林下温度偏移的全球模式和驱动因素，但几乎没有中国的数据，因此全球评估并不完整。为了填补这一知识空白，我们对从 91 篇文献中提取的 494 个中国配对观测数据进行了定量综合，以量化平均温度偏移（Tmean）、最大温度偏移（Tmax）和最小温度偏移（Tmin）。结果表明：(1) 森林树冠可显著缓冲林下平均温度（Tmean）和最高温度（Tmax）对宏观气候温度的影响，平均偏差分别为 1.0°C 和 1.5°C，而林下最低温度（Tmin）的偏差与零无显著差异；(2) 森林类型（阔叶林、混交林、针叶林）和森林位置（林区、林区和林区）对宏观气候温度的影响显著，平均偏差分别为 1.0°C 和 1.5°C。(2) 森林类型（阔叶林、混交林与针叶林）和森林位置（乡村与城市）不影响平均温度、最高温度或最低温度偏移，但气候带和季节有显著影响；(3) 宏观气候温度、风速、树高和树冠密度也影响温度偏移，但它们对平均温度、最高温度和最低温度的影响各不相同。我们的研究结果是对全球森林缓冲能力评估的补充，并重申了将微气候变化纳入未来物种数量和分布的生物气候建模的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Global Ecology and Biogeography 环境科学-生态学

CiteScore

12.10

自引率

3.10%

发文量

170

审稿时长

3 months

期刊介绍： Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.