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

Author:

Chen Siying1,De Frenne Pieter2ORCID,Van Meerbeek Koenraad3,Wu Qiqian4ORCID,Peng Yan1,Zheng Haifeng5,Guo Kun6,Yuan Chaoxiang1,Xiong Ling1,Zhao Zemin1,Ni Xiangyin17ORCID,Wu Fuzhong17ORCID,Yue Kai127ORCID

Affiliation:

1. Key Laboratory for Humid Subtropical Eco‐Geographical Processes of the Ministry of Education, School of Geographical Sciences Fujian Normal University Fuzhou China

2. Forest & Nature Lab Ghent University Gontrode Belgium

3. Department of Earth and Environmental Sciences KU Leuven Leuven Belgium

4. State Key Laboratory of Subtropical Silviculture Zhejiang A&F University Lin'an China

5. Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS‐CMA) Nanjing University of Information Science and Technology Nanjing China

6. Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Research Center for Global Change and Complex Ecosystems, School of Ecological and Environmental Sciences East China Normal University Shanghai China

7. Fujian Sanming Forest Ecosystem National Observation and Research Station Fujian Normal University Sanming China

Abstract

AbstractForest 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.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Wiley

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