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Unimodal productivity–biodiversity relationship along the gradient of multidimensional resources across Chinese grasslands

Resources can affect plant productivity and biodiversity simultaneously and thus are key drivers of their relationships in addition to plant–plant interactions. However, most previous studies only focused on a single resource while neglecting the nature of resource multidimensionality. Here we integ...

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Detalles Bibliográficos
Autores principales: Wang, Yanfen, Du, Jianqing, Pang, Zhe, Liu, Yali, Xue, Kai, Hautier, Yann, Zhang, Biao, Tang, Li, Jiang, Lili, Ji, Baoming, Xu, Xingliang, Zhang, Jing, Hu, Ronghai, Zhou, Shutong, Wang, Fang, Che, Rongxiao, Wang, Di, Zhou, Chaoting, Cui, Xiaoyong, Eisenhauer, Nico, Hao, Yanbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743175/
https://www.ncbi.nlm.nih.gov/pubmed/36519072
http://dx.doi.org/10.1093/nsr/nwac165
Descripción
Sumario:Resources can affect plant productivity and biodiversity simultaneously and thus are key drivers of their relationships in addition to plant–plant interactions. However, most previous studies only focused on a single resource while neglecting the nature of resource multidimensionality. Here we integrated four essential resources for plant growth into a single metric of resource diversity (RD) to investigate its effects on the productivity–biodiversity relationship (PBR) across Chinese grasslands. Results showed that habitats differing in RD have different PBRs—positive in low-resource habitats, but neutral in medium- and high-resource ones—while collectively, a weak positive PBR was observed. However, when excluding direct effects of RD on productivity and biodiversity, the PBR in high-resource habitats became negative, which leads to a unimodal instead of a positive PBR along the RD gradient. By integrating resource effects and changing plant–plant interactions into a unified framework with the RD gradient, our work contributes to uncovering underlying mechanisms for inconsistent PBRs at large scales.