Estimating the dynamics of ecosystem functions under climate change in a temperate forest region

被引:1
|
作者
He, Jingyuan [1 ,2 ]
Lu, Liqi [1 ,2 ]
He, Huaijiang [3 ]
Zhang, Zhonghui [3 ]
Hao, Minhui [1 ,2 ]
Zhang, Chunyu [1 ,2 ]
Zhao, Xiuhai [1 ,2 ]
von Gadow, Klaus [4 ,5 ]
机构
[1] Beijing Forestry Univ, State Key Lab Efficient Prod Forest Resources, Beijing 100083, Peoples R China
[2] Beijing Forestry Univ, Res Ctr Forest Management Engn State Forestry & Gr, Beijing 100083, Peoples R China
[3] Jilin Prov Acad Forestry Sci, Changchun 130033, Peoples R China
[4] Georg August Univ Gottingen, Fac Forestry & Forest Ecol, Gottingen, Germany
[5] Univ Stellenbosch, Dept Forest & Wood Sci, Stellenbosch, South Africa
关键词
Climate change; Forest ecosystem functions; Functional diversity; Machine learning; Phylogenetic diversity; Species diversity; PHYLOGENETIC DIVERSITY; SPECIES DISTRIBUTION; CARBON SINK; LAND-USE; BIODIVERSITY; BIOMASS; CONSERVATION; CHINA; PRODUCTIVITY; STRATEGIES;
D O I
10.1016/j.ecolind.2024.112353
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Understanding the dynamics and spatial patterns of forest biodiversity and functioning is vital for effective conservation and management. This study introduces a new framework for estimating the spatio-temporal dynamics of biodiversity and ecosystem functions in northeastern China. Our novel approach evaluates 96 future scenarios, including four points in time, four socio-economic pathways, and six global climate models based on an extensive network of permanent field plots with specific bioclimatic, topographic, and soil data. Our findings indicate a future trend of diminishing biodiversity and forest biomass productivity and increasing biomass density and carbon storage. The relationship between biodiversity and ecosystem functionality indicates a nonlinear response to changes in temperature and precipitation, and a stable correlation between biodiversity and ecosystem stability across most of the socio-economic pathways. Unravelling the complex relationship between biodiversity, ecosystem functions, and stability of production, in the face of global change, requires new methods of analysis that were used in this study, including machine learning and other advanced methods.
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收藏
页数:11
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