Diversity-decomposition relationships in forests worldwide.

biodiversity loss carbon and nutrient cycles ecology functional diversity litter mixture decomposition none nutrient limitation plant species richness

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
26 06 2020
Historique:
received: 06 02 2020
accepted: 20 06 2020
pubmed: 27 6 2020
medline: 17 4 2021
entrez: 27 6 2020
Statut: epublish

Résumé

Plant species diversity affects carbon and nutrient cycling during litter decomposition, yet the generality of the direction of this effect and its magnitude remains uncertain. With a meta-analysis including 65 field studies across the Earth's major forest ecosystems, we show here that decomposition was faster when litter was composed of more than one species. These positive biodiversity effects were mostly driven by temperate forests but were more variable in other forests. Litter mixture effects emerged most strongly in early decomposition stages and were related to divergence in litter quality. Litter diversity also accelerated nitrogen, but not phosphorus release, potentially indicating a decoupling of nitrogen and phosphorus cycling and perhaps a shift in ecosystem nutrient limitation with changing biodiversity. Our findings demonstrate the importance of litter diversity effects for carbon and nutrient dynamics during decomposition, and show how these effects vary with litter traits, decomposer complexity and forest characteristics.

Identifiants

pubmed: 32589142
doi: 10.7554/eLife.55813
pii: 55813
pmc: PMC7402676
doi:
pii:

Substances chimiques

Soil 0
Carbon 7440-44-0

Banques de données

Dryad
['10.5061/dryad.nk98sf7qc']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Natural Science Foundation of China
ID : 41830646; 31570443
Pays : International
Organisme : National Key Research and Development Program of China
ID : 2016YFD0600202
Pays : International
Organisme : National Natural Science Foundation of China
ID : 41830646
Pays : International
Organisme : National Natural Science Foundation of China
ID : 31570443
Pays : International

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2020, Kou et al.

Déclaration de conflit d'intérêts

LK, LJ, SH, MZ, SN, XF, XD, HY, SL, HW No competing interests declared

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Auteurs

Liang Kou (L)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Lei Jiang (L)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Stephan Hättenschwiler (S)

CEFE, Univ. Montpellier, CNRS, EPHE, IRD, Univ. Paul-Valéry, Montpellier, France.

Miaomiao Zhang (M)

State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.

Shuli Niu (S)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Xiaoli Fu (X)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Xiaoqin Dai (X)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Han Yan (H)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Shenggong Li (S)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Huimin Wang (H)

Qianyanzhou Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

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Classifications MeSH