Modelling analysis embodies drastic transition among global potential natural vegetations in face of changing climate  

作　　者：Zhengchao Ren Lei Liu Fang Yin Xiaoni Liu 

机构地区：[1]School of Earth Science and Resources,Chang’an University,Xi’an,710054,China [2]Research Center of Ecological Construction and Environmental Conservation in Gansu Province,Gansu Agricultural University,Lanzhou,730070,China [3]State Key Laboratory of Tibetan Plateau Earth System,Environment and Resources(TPESER),Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing,100101,China [4]School of Land Engineering,Chang’an University,Xi’an,710054,China [5]College of Pratacultural Science,Gansu Agricultural University,Lanzhou,730070,China

出　　处：《Forest Ecosystems》2024年第2期184-192,共9页森林生态系统（英文版）

基　　金：funded by the National Natural Science Foundation of China(grants No.30960264,31160475 and 42071258);Open Research Fund of TPESER(grant No.TPESER202208);Special Fund for Basic Scientific Research of Central Colleges,Chang’an University,China(grant No.300102353501);Natural Science Foundation of Gansu Province,China(grant No.22JR5RA857);Higher Education Novel Foundation of Gansu Province,China(grant No.2021B-130)。

摘　　要：Potential natural vegetation(PNV)is a valuable reference for ecosystem renovation and has garnered increasing attention worldwide.However,there is limited knowledge on the spatio-temporal distributions,transitional processes,and underlying mechanisms of global natural vegetation,particularly in the case of ongoing climate warming.In this study,we visualize the spatio-temporal pattern and inter-transition procedure of global PNV,analyse the shifting distances and directions of global PNV under the influence of climatic disturbance,and explore the mechanisms of global PNV in response to temperature and precipitation fluctuations.To achieve this,we utilize meteorological data,mainly temperature and precipitation,from six phases:the Last Inter-Glacial(LIG),the Last Glacial Maximum(LGM),the Mid Holocene(MH),the Present Day(PD),2030(20212040)and 2090(2081–2100),and employ a widely-accepted comprehensive and sequential classification sy–stem(CSCS)for global PNV classification.We find that the spatial patterns of five PNV groups(forest,shrubland,savanna,grassland and tundra)generally align with their respective ecotopes,although their distributions have shifted due to fluctuating temperature and precipitation.Notably,we observe an unexpected transition between tundra and savanna despite their geographical distance.The shifts in distance and direction of five PNV groups are mainly driven by temperature and precipitation,although there is heterogeneity among these shifts for each group.Indeed,the heterogeneity observed among different global PNV groups suggests that they may possess varying capacities to adjust to and withstand the impacts of changing climate.The spatio-temporal distributions,mutual transitions and shift tendencies of global PNV and its underlying mechanism in face of changing climate,as revealed in this study,can significantly contribute to the development of strategies for mitigating warming and promoting re-vegetation in degraded regions worldwide.

关 键 词：Potential natural vegetation Global warming Vegetation classification Predicted model CSCS 

分 类 号：Q948.112[生物学—植物学]