Evolution of Potential Spatial Distribution Patterns of Carex Tussock Wetlands Under Climate Change Scenarios, Northeast China

被引:0
|
作者
QI Qing [1 ,2 ]
ZHANG Mingye [1 ]
TONG Shouzheng [1 ]
LIU Yan [1 ]
ZHANG Dongjie [3 ]
ZHU Guanglei [1 ]
LYU Xianguo [1 ]
机构
[1] Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
[2] Shijiazhuang University
[3] Binzhou University
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
X171.1 [生态系统与生态环境]; P467 [气候变化、历史气候]; Q948 [植物生态学和植物地理学];
学科分类号
0706 ; 070601 ; 071012 ; 0713 ;
摘要
Carex tussock plays an important role in supporting biodiversity and carbon sequestration of wetland ecosystems,while it is highly threatened by climate change and anthropogenic activities.Therefore,identifying the potential distribution patterns of Carex tussocks wetland is vital for their targeted conservation and restoration.The current and future (2050s and 2070s) potential habitats distribution of Carex tussocks in Northeast China were predicted using a Maximum Entropy (Maxent) model based on 68 current data of Carex tussock distributions and three groups of environmental variables (bioclimate,topography,soil properties).Results show that isothermality,seasonal precipitation variability and altitude are important factors that determine the distribution of Carex tussock.The high suitable habitat of Carex tussock is about 5.7×10~4 km~2 and mainly distributed in the Sanjiang Plain,Songnen Plain,Changbai Mountains and Da Hinggan Mountains.The area of stable habitats of Carex tussock is significantly higher than the lost and expanded habitats in the future climate scenarios,and the unsuitable habitats mainly occur in Da Hinggan Mountains,Xiao Hinggan Mountains and Changbai Mountains.Overall,Carex tussock wetlands at high altitude and high latitude are more sensitive to climate change,and more attention should be invested in high latitude and high altitude areas.
引用
收藏
页码:142 / 154
页数:13
相关论文
共 50 条
  • [41] Maxent Modeling for Predicting the Potential Geographical Distribution of Castanopsis carlesii under Various Climate Change Scenarios in China
    Zhong, Xiaoru
    Zhang, Lu
    Zhang, Jiabiao
    He, Liren
    Sun, Rongxi
    FORESTS, 2023, 14 (07):
  • [42] Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios
    Lei Liu
    Yuanyuan Zhang
    Yi Huang
    Jindong Zhang
    Qiuyu Mou
    Jianyue Qiu
    Rulin Wang
    Yujie Li
    Dequan Zhang
    Environmental Science and Pollution Research, 2022, 29 : 22237 - 22250
  • [43] Simulation of potential suitable distribution of original species of Fritillariae Cirrhosae Bulbus in China under climate change scenarios
    Liu, Lei
    Zhang, Yuanyuan
    Huang, Yi
    Zhang, Jindong
    Mou, Qiuyu
    Qiu, Jianyue
    Wang, Rulin
    Li, Yujie
    Zhang, Dequan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (15) : 22237 - 22250
  • [44] Predicting the Potential Distribution of the Endangered Plant Cremastra appendiculata (Orchidaceae) in China under Multiple Climate Change Scenarios
    Li, Wen-Na
    Zhao, Qian
    Guo, Ming-Hao
    Lu, Chan
    Huang, Fei
    Wang, Zhe-Zhi
    Niu, Jun-Feng
    FORESTS, 2022, 13 (09):
  • [45] Prediction of Potential Distribution for Huangxin (Catalpa) in China under Different Climate Scenarios
    Ge, Wanting
    Liu, Ying
    Zhao, Zhijia
    Zhang, Shen
    Li, Jie
    Yang, Guijuan
    Qu, Guanzheng
    Wang, Junhui
    Ma, Wenjun
    Linye Kexue/Scientia Silvae Sinicae, 2024, 60 (11): : 63 - 74
  • [46] Predicting water levels in ephemeral wetlands under climate change scenarios
    James, Alex
    Binny, Rachelle N.
    Lee, William G.
    Payne, John
    Stringer, Nick
    Holland, E. Penelope
    THEORETICAL ECOLOGY, 2019, 12 (04) : 427 - 435
  • [47] Seasonal Spatial Distribution Patterns of Abralia multihamata in the East China Sea Region: Predictions Under Various Climate Scenarios
    Xu, Min
    Liu, Shuhao
    Yang, Chunhui
    Yang, Linlin
    ANIMALS, 2025, 15 (07):
  • [48] Predicting water levels in ephemeral wetlands under climate change scenarios
    Alex James
    Rachelle N. Binny
    William G. Lee
    John Payne
    Nick Stringer
    E. Penelope Holland
    Theoretical Ecology, 2019, 12 : 427 - 435
  • [49] Modelling future spatial distribution of peanut crops in Australia under climate change scenarios
    Haerani, Haerani
    Apan, Armando
    Nguyen-Huy, Thong
    Basnet, Badri
    GEO-SPATIAL INFORMATION SCIENCE, 2024, 27 (05): : 1585 - 1604
  • [50] Potential distribution of two lynx species in europe under paleoclimatological scenarios and anthropogenic climate change scenarios
    Kirac, Akin
    CERNE, 2021, 27