Your browser doesn't support javascript.
loading
Carbon-biodiversity relationships in a highly diverse subtropical forest.
Schuldt, Andreas; Liu, Xiaojuan; Buscot, François; Bruelheide, Helge; Erfmeier, Alexandra; He, Jin-Sheng; Klein, Alexandra-Maria; Ma, Keping; Scherer-Lorenzen, Michael; Schmid, Bernhard; Scholten, Thomas; Tang, Zhiyao; Trogisch, Stefan; Wirth, Christian; Wubet, Tesfaye; Staab, Michael.
Affiliation
  • Schuldt A; Forest Nature Conservation, University of Göttingen, 37077, Göttingen, Germany.
  • Liu X; State Key Laboratory of Vegetation and Environmental Change, Chinese Academy of Sciences, Institute of Botany, 100093, Beijing, China.
  • Buscot F; Department of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, 06120, Halle (Saale), Germany.
  • Bruelheide H; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103, Leipzig, Germany.
  • Erfmeier A; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103, Leipzig, Germany.
  • He JS; Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, 06108, Halle (Saale), Germany.
  • Klein AM; Institute for Ecosystem Research, Kiel University, 24118, Kiel, Germany.
  • Ma K; Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, 100871, China.
  • Scherer-Lorenzen M; Nature Conservation and Landscape Ecology, University of Freiburg, 79106, Freiburg, Germany.
  • Schmid B; State Key Laboratory of Vegetation and Environmental Change, Chinese Academy of Sciences, Institute of Botany, 100093, Beijing, China.
  • Scholten T; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.
  • Tang Z; Faculty of Biology, Geobotany, University of Freiburg, 79104, Freiburg, Germany.
  • Trogisch S; Department of Geography, Remote Sensing Laboratories, University of Zurich, 8057, Zurich, Switzerland.
  • Wirth C; Department of Geosciences, Soil Science and Geomorphology, University of Tübingen, 72070, Tübingen, Germany.
  • Wubet T; Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, 100871, China.
  • Staab M; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103, Leipzig, Germany.
Glob Chang Biol ; 29(18): 5321-5333, 2023 09.
Article in En | MEDLINE | ID: mdl-36970888
ABSTRACT
Carbon-focused climate mitigation strategies are becoming increasingly important in forests. However, with ongoing biodiversity declines we require better knowledge of how much such strategies account for biodiversity. We particularly lack information across multiple trophic levels and on established forests, where the interplay between carbon stocks, stand age, and tree diversity might influence carbon-biodiversity relationships. Using a large dataset (>4600 heterotrophic species of 23 taxonomic groups) from secondary, subtropical forests, we tested how multitrophic diversity and diversity within trophic groups relate to aboveground, belowground, and total carbon stocks at different levels of tree species richness and stand age. Our study revealed that aboveground carbon, the key component of climate-based management, was largely unrelated to multitrophic diversity. By contrast, total carbon stocks-that is, including belowground carbon-emerged as a significant predictor of multitrophic diversity. Relationships were nonlinear and strongest for lower trophic levels, but nonsignificant for higher trophic level diversity. Tree species richness and stand age moderated these relationships, suggesting long-term regeneration of forests may be particularly effective in reconciling carbon and biodiversity targets. Our findings highlight that biodiversity benefits of climate-oriented management need to be evaluated carefully, and only maximizing aboveground carbon may fail to account for biodiversity conservation requirements.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Trees / Forests Type of study: Prognostic_studies Language: En Journal: Glob Chang Biol Year: 2023 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Trees / Forests Type of study: Prognostic_studies Language: En Journal: Glob Chang Biol Year: 2023 Type: Article Affiliation country: Germany