Systematic distributions of interaction strengths across tree interaction networks yield positive diversity–productivity relationships
Research output: Journal contributions › Comments / Debate / Reports › Research
Standard
In: Ecology Letters, Vol. 27, No. 1, e14338, 01.2024.
Research output: Journal contributions › Comments / Debate / Reports › Research
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Systematic distributions of interaction strengths across tree interaction networks yield positive diversity–productivity relationships
AU - Yu, Wentao
AU - Albert, Georg
AU - Rosenbaum, Benjamin
AU - Schnabel, Florian
AU - Bruelheide, Helge
AU - Connolly, John
AU - Härdtle, Werner
AU - von Oheimb, Goddert
AU - Trogisch, Stefan
AU - Rüger, Nadja
AU - Brose, Ulrich
N1 - Publisher Copyright: © 2023 The Authors. Ecology Letters published by John Wiley & Sons Ltd.
PY - 2024/1
Y1 - 2024/1
N2 - Understanding the mechanisms underlying diversity–productivity relationships (DPRs) is crucial to mitigating the effects of forest biodiversity loss. Tree–tree interactions in diverse communities are fundamental in driving growth rates, potentially shaping the emergent DPRs, yet remain poorly explored. Here, using data from a large-scale forest biodiversity experiment in subtropical China, we demonstrated that changes in individual tree productivity were driven by species-specific pairwise interactions, with higher positive net pairwise interaction effects on trees in more diverse neighbourhoods. By perturbing the interactions strength from empirical data in simulations, we revealed that the positive differences between inter- and intra-specific interactions were the critical determinant for the emergence of positive DPRs. Surprisingly, the condition for positive DPRs corresponded to the condition for coexistence. Our results thus provide a novel insight into how pairwise tree interactions regulate DPRs, with implications for identifying the tree mixtures with maximized productivity to guide forest restoration and reforestation efforts.
AB - Understanding the mechanisms underlying diversity–productivity relationships (DPRs) is crucial to mitigating the effects of forest biodiversity loss. Tree–tree interactions in diverse communities are fundamental in driving growth rates, potentially shaping the emergent DPRs, yet remain poorly explored. Here, using data from a large-scale forest biodiversity experiment in subtropical China, we demonstrated that changes in individual tree productivity were driven by species-specific pairwise interactions, with higher positive net pairwise interaction effects on trees in more diverse neighbourhoods. By perturbing the interactions strength from empirical data in simulations, we revealed that the positive differences between inter- and intra-specific interactions were the critical determinant for the emergence of positive DPRs. Surprisingly, the condition for positive DPRs corresponded to the condition for coexistence. Our results thus provide a novel insight into how pairwise tree interactions regulate DPRs, with implications for identifying the tree mixtures with maximized productivity to guide forest restoration and reforestation efforts.
KW - biodiversity–ecosystem functioning
KW - competition
KW - facilitation
KW - interaction network
KW - pairwise interaction
KW - Biology
UR - http://www.scopus.com/inward/record.url?scp=85178176578&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/abfffcfe-3f93-3e2e-a2e5-ff2c41256c17/
U2 - 10.1111/ele.14338
DO - 10.1111/ele.14338
M3 - Comments / Debate / Reports
C2 - 38030225
AN - SCOPUS:85178176578
VL - 27
JO - Ecology Letters
JF - Ecology Letters
SN - 1461-023X
IS - 1
M1 - e14338
ER -