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DOI10.1111/gcb.17258
'How to adapt forests?'-Exploring the role of leaf trait diversity for long-term forest biomass under new climate normals
Billing, Maik; Sakschewski, Boris; von Bloh, Werner; Vogel, Johannes; Thonicke, Kirsten
发表日期2024
ISSN1354-1013
EISSN1365-2486
起始页码30
结束页码4
卷号30期号:4
英文摘要Forests, critical components of global ecosystems, face unprecedented challenges due to climate change. This study investigates the influence of functional diversity-as a component of biodiversity-to enhance long-term biomass of European forests in the context of changing climatic conditions. Using the next-generation flexible trait-based vegetation model, LPJmL-FIT, we explored the impact of functional diversity on long-term forest biomass under three different climate change scenarios (video abstract: ). Four model set-ups were tested with varying degrees of functional diversity and best-suited functional traits. Our results show that functional diversity positively influences long-term forest biomass, particularly when climate warming is low (RCP2.6). Under these conditions, high-diversity simulations led to an approximately 18.2% increase in biomass compared to low-diversity experiments. However, as climate change intensity increased, the benefits of functional diversity diminished (RCP8.5). A Bayesian multilevel analysis revealed that both full leaf trait diversity and diversity of plant functional types contributed significantly to biomass enhancement under low warming scenarios in our model simulations. Under strong climate change, the presence of a mixture of different functional groups (e.g. summergreen and evergreen broad-leaved trees) was found more beneficial than the diversity of leaf traits within a functional group (e.g. broad-leaved summergreen trees). Ultimately, this research challenges the notion that planting only the most productive and climate-suited trees guarantees the highest future biomass and carbon sequestration. We underscore the importance of high functional diversity and the potential benefits of fostering a mixture of tree functional types to enhance long-term forest biomass in the face of climate change. This modelling study explores the impact of functional diversity on European forest biomass in the context of different climate change scenarios. We found that high functional diversity enhances forest long-term biomass. Even if forest communities are constrained to the best-performing leaf traits in low-diversity experiments biomass is significantly lower than in high-diversity communities. As climate change intensifies, the benefits from functional diversity diminish.image
英文关键词biomass; European forests; functional diversity; functional traits; new climate normal; resilience; vegetation modelling
语种英语
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS记录号WOS:001203597000001
来源期刊GLOBAL CHANGE BIOLOGY (IF:8.88[JCR-2018],10.171[5-Year])
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/307051
作者单位Potsdam Institut fur Klimafolgenforschung; Free University of Berlin; Helmholtz Association; Helmholtz Center for Environmental Research (UFZ); Leipzig University
推荐引用方式
GB/T 7714
Billing, Maik,Sakschewski, Boris,von Bloh, Werner,et al. 'How to adapt forests?'-Exploring the role of leaf trait diversity for long-term forest biomass under new climate normals[J],2024,30(4).
APA Billing, Maik,Sakschewski, Boris,von Bloh, Werner,Vogel, Johannes,&Thonicke, Kirsten.(2024).'How to adapt forests?'-Exploring the role of leaf trait diversity for long-term forest biomass under new climate normals.GLOBAL CHANGE BIOLOGY,30(4).
MLA Billing, Maik,et al."'How to adapt forests?'-Exploring the role of leaf trait diversity for long-term forest biomass under new climate normals".GLOBAL CHANGE BIOLOGY 30.4(2024).
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