Nitrogen and water availability control plant carbon storage with warming.

C-climate feedback Climate warming Meta-analysis Mycorrhizal association Nitrogen availability Plant biomass

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Dec 2022
Historique:
received: 29 06 2022
revised: 19 08 2022
accepted: 19 08 2022
pubmed: 26 8 2022
medline: 20 10 2022
entrez: 25 8 2022
Statut: ppublish

Résumé

Plants may slow global warming through enhanced growth, because increased levels of photosynthesis stimulate the land carbon (C) sink. However, how climate warming affects plant C storage globally and key drivers determining the response of plant C storage to climate warming remains unclear, causing uncertainty in climate projections. We performed a comprehensive meta-analysis, compiling 393 observations from 99 warming studies to examine the global patterns of plant C storage responses to climate warming and explore the key drivers. Warming significantly increased total biomass (+8.4 %), aboveground biomass (+12.6 %) and belowground biomass (+10.1 %). The effect of experimental warming on plant biomass was best explained by the availability of soil nitrogen (N) and water. Across the entire dataset, warming-induced changes in total, aboveground and belowground biomass all positively correlated with soil C:N ratio, an indicator of soil N availability. In addition, warming stimulated plant biomass more strongly in humid than in dry ecosystems, and warming tended to decrease root:shoot ratios at high soil C:N ratios. Together, these results suggest dual controls of warming effects on plant C storage; warming increases plant growth in ecosystems where N is limiting plant growth, but it reduces plant growth where water availability is limiting plant growth.

Identifiants

pubmed: 36007637
pii: S0048-9697(22)05342-6
doi: 10.1016/j.scitotenv.2022.158243
pii:
doi:

Substances chimiques

Soil 0
Water 059QF0KO0R
Carbon 7440-44-0
Nitrogen N762921K75

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

158243

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declared no conflict of interests.

Auteurs

Guiyao Zhou (G)

Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China.

Cesar Terrer (C)

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Boston, MA, USA.

An Huang (A)

School of Public Administration, Xi'an University of Architecture and Technology, Xi'an 710055, China.

Bruce A Hungate (BA)

Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA; Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA.

Natasja van Gestel (N)

Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA.

Xuhui Zhou (X)

Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Center for Global Change and Ecological Forecasting, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China. Electronic address: xhzhou@des.ecnu.edu.cn.

Kees Jan van Groenigen (KJ)

Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4 RJ, UK. Electronic address: kj.vangroenigen@exeter.ac.uk.

Articles similaires

Populus Soil Microbiology Soil Microbiota Fungi
Animals Dietary Fiber Dextran Sulfate Mice Disease Models, Animal
India Carbon Sequestration Environmental Monitoring Carbon Biomass
Silicon Dioxide Water Hot Temperature Compressive Strength X-Ray Diffraction

Classifications MeSH