4.8 Article

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

Journal

NATIONAL SCIENCE REVIEW
Volume 9, Issue 12, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nsr/nwac165

Keywords

productivity-biodiversity relationship; resource diversity; plant strategies; grassland

Funding

  1. Chinese Academy of Sciences [XDA20050104]
  2. Funds for International Cooperation and Exchange of the National Natural Science Foundation of China [31761123001]
  3. Second Tibetan Plateau Scientific Expedition and Research Program (STEP) [2019 QZKK0304]
  4. European Research Council [677232]
  5. German Research Foundation [FZT 118]
  6. European Research Council (ERC) [677232] Funding Source: European Research Council (ERC)

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The diversity of resources has an impact on the relationship between productivity and biodiversity, with different habitats showing different relationships. When excluding the direct effects of resources, the relationship in high-resource habitats becomes negative.
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.

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