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Species richness stabilizes productivity via asynchrony and drought-tolerance diversity in a large-scale tree biodiversity experiment.
Schnabel, Florian; Liu, Xiaojuan; Kunz, Matthias; Barry, Kathryn E; Bongers, Franca J; Bruelheide, Helge; Fichtner, Andreas; Härdtle, Werner; Li, Shan; Pfaff, Claas-Thido; Schmid, Bernhard; Schwarz, Julia A; Tang, Zhiyao; Yang, Bo; Bauhus, Jürgen; von Oheimb, Goddert; Ma, Keping; Wirth, Christian.
Affiliation
  • Schnabel F; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
  • Liu X; Systematic Botany and Functional Biodiversity, Leipzig University, Leipzig, Germany.
  • Kunz M; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Barry KE; Institute of General Ecology and Environmental Protection, Technische Universität Dresden, Tharandt, Germany.
  • Bongers FJ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
  • Bruelheide H; Systematic Botany and Functional Biodiversity, Leipzig University, Leipzig, Germany.
  • Fichtner A; Ecology and Biodiversity, Institute of Environmental Biology, Department of Biology, Utrecht University, Utrecht, Netherlands.
  • Härdtle W; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Li S; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
  • Pfaff CT; Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
  • Schmid B; Institute of Ecology, Leuphana University of Lüneburg, Lüneburg, Germany.
  • Schwarz JA; Institute of Ecology, Leuphana University of Lüneburg, Lüneburg, Germany.
  • Tang Z; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Yang B; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
  • Bauhus J; Systematic Botany and Functional Biodiversity, Leipzig University, Leipzig, Germany.
  • von Oheimb G; Department of Geography, Remote Sensing Laboratories, University of Zurich, Zurich, Switzerland.
  • Ma K; Chair of Silviculture, Institute of Forest Sciences, Freiburg University, Freiburg, Germany.
  • Wirth C; Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.
Sci Adv ; 7(51): eabk1643, 2021 Dec 17.
Article de En | MEDLINE | ID: mdl-34919425
ABSTRACT
Extreme climatic events threaten forests and their climate mitigation potential globally. Understanding the drivers promoting ecosystem stability is therefore considered crucial for mitigating adverse climate change effects on forests. Here, we use structural equation models to explain how tree species richness, asynchronous species dynamics, species-level population stability, and drought-tolerance traits relate to the stability of forest productivity along an experimentally manipulated species richness gradient ranging from 1 to 24 tree species. Tree species richness improved community stability by increasing asynchrony. That is, at higher species richness, interannual variation in productivity among tree species buffered the community against stress-related productivity declines. This effect was positively related to variation in stomatal control and resistance-acquisition strategies among species, but not to the community-weighted means of these trait syndromes. The identified mechanisms by which tree species richness stabilizes forest productivity emphasize the importance of diverse, mixed-species forests to adapt to climate change.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Adv Année: 2021 Type de document: Article Pays d'affiliation: Allemagne

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Adv Année: 2021 Type de document: Article Pays d'affiliation: Allemagne
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