Climate warming accelerates carbon release from foliar litter—A global synthesis

Author:

Chen Zihao12ORCID,Ni Xiangyin12ORCID,Patoine Guillaume34ORCID,Peng Changhui5ORCID,Yue Kai12ORCID,Yuan Ji12ORCID,Wu Qiuxia12,Eisenhauer Nico34ORCID,Guerra Carlos A.34ORCID,Bol Roland6ORCID,Wu Fuzhong12ORCID,Wang G. Geoff7ORCID

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. Fujian Sanming Forest Ecosystem National Observation and Research Station Sanming China

3. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany

4. Institute of Biology Leipzig University Leipzig Germany

5. Institute of Environment Sciences University of Quebec at Montreal Montreal Quebec Canada

6. Institute of Bio‐ and Geosciences, Agrosphere (IBG‐3) Forschungszentrum Jülich Jülich Germany

7. Department of Forestry and Environmental Conservation Clemson University Clemson South Carolina USA

Abstract

AbstractWith over one‐third of terrestrial net primary productivity transferring to the litter layer annually, the carbon release from litter serves as a crucial valve in atmospheric carbon dioxide concentrations. However, few quantitative global projections of litter carbon release rate in response to climate change exist. Here, we combined a global foliar litter carbon release dataset (8973 samples) to generate spatially explicitly estimates of the response of their residence time (τ) to climate change. Results show a global mean litter carbon release rate () of 0.69 year−1 (ranging from 0.09–5.6 year−1). Under future climate scenarios, global mean τ is projected to decrease by a mean of 2.7% (SSP 1–2.6) and 5.9% (SSP 5–8.5) during 2071–2100 period. Locally, the alleviation of temperature and moisture restrictions corresponded to obvious decreases in τ in cold and arid regions, respectively. In contract, τ in tropical humid broadleaf forests increased by 4.6% under SSP 5–8.5. Our findings highlight the vegetation type as a powerful proxy for explaining global patterns in foliar litter carbon release rates and the role of climate conditions in predicting responses of carbon release to climate change. Our observation‐based estimates could refine carbon cycle parameterization, improving projections of carbon cycle–climate feedbacks.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Deutsche Forschungsgemeinschaft

Publisher

Wiley

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