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Neighbourhood diversity mitigates drought impacts on tree growth

Abstract Biodiversity is considered to mitigate detrimental impacts of climate change on the functioning of forest ecosystems, such as drought‐induced decline in forest productivity. However, previous studies produced controversial results and experimental evidence is rare. Specifically, the biological mechanisms underlying mitigation effects remain unclear, as existing work focuses on biodiversity effects related to the community scale. Using trait‐based neighbourhood models, we quantified changes in above‐ground wood productivity of 3,397 trees that were planted in a large‐scale tree diversity experiment in subtropical China across gradients of neighbourhood diversity and climatic conditions over a 6‐year period. This approach allowed us to simultaneously assess to what extent functional traits of a focal tree and biodiversity at the local neighbourhood scale mediate the growth response of individual trees to drought events. We found that neighbourhood tree species richness can mitigate for drought‐induced growth decline of young trees. Overall, positive net biodiversity effects were strongest during drought and increased with increasing taxonomic diversity of neighbours. In particular, drought‐sensitive species (i.e. those with a low cavitation resistance) benefitted the most from growing in diverse neighbourhoods, suggesting that soil water partitioning among local neighbours during drought particularly facilitated most vulnerable individuals. Thus, diverse neighbourhoods may enhance ecosystem resistance to drought by locally supporting drought‐sensitive species in the community. Synthesis. Our findings demonstrate that mechanisms operating at the local neighbourhood scale are a key component for regulating forests responses to drought and improve insights into how local species interactions vary along stress gradients in highly diverse tree communities.
- University of Freiburg Germany
- TU Dresden Germany
- University of Göttingen Germany
- Leipzig University Germany
- German Center for Integrative Biodiversity Research Germany
species interactions, species interaction, drought resistance, 577, /dk/atira/pure/core/keywords/biology; name=Ecosystems Research, /dk/atira/pure/subjectarea/asjc/1100/1105; name=Ecology, Evolution, Behavior and Systematics, forest, climate change, ecosystem functioning, /dk/atira/pure/subjectarea/asjc/2300/2303; name=Ecology, /dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action, functional traits, /dk/atira/pure/sustainabledevelopmentgoals/partnerships; name=SDG 17 - Partnerships for the Goals, Functional traits, /dk/atira/pure/subjectarea/asjc/1100/1110; name=Plant Science, biodiversity, stress-gradient hypothesis
species interactions, species interaction, drought resistance, 577, /dk/atira/pure/core/keywords/biology; name=Ecosystems Research, /dk/atira/pure/subjectarea/asjc/1100/1105; name=Ecology, Evolution, Behavior and Systematics, forest, climate change, ecosystem functioning, /dk/atira/pure/subjectarea/asjc/2300/2303; name=Ecology, /dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action, functional traits, /dk/atira/pure/sustainabledevelopmentgoals/partnerships; name=SDG 17 - Partnerships for the Goals, Functional traits, /dk/atira/pure/subjectarea/asjc/1100/1110; name=Plant Science, biodiversity, stress-gradient hypothesis
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).55 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
