Climate change induced range shifts of Galliformes in China

被引:28
作者
Li, Renqiang [2 ]
Tian, Huidong [3 ,4 ]
Li, Xinhai [1 ]
机构
[1] Chinese Acad Sci, Inst Zool, Key Lab Zool Systemat & Evolut, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
[3] Chinese Acad Sci, Inst Zool, State Key Lab Integrated Pest Management Pest Ins, Beijing 100101, Peoples R China
[4] Chinese Acad Sci, Grad Univ, Beijing 100101, Peoples R China
来源
INTEGRATIVE ZOOLOGY | 2010年 / 5卷 / 02期
基金
美国农业部;
关键词
climate change; Galliformes; generalized additive model; principal component analysis; range shift; EXTINCTIONS; MODELS;
D O I
10.1111/j.1749-4877.2010.00198.x
中图分类号
Q95 [动物学];
学科分类号
071002 ;
摘要
Climate change will cause range shifts of many species in the future. Galliformes might be particularly vulnerable to climate change, as they have low dispersal ability. Little is known about their possible responses to the future climate. We used a generalized additive model to predict the current and future ranges of all 63 Galliformes in China, based on a comprehensive species occurrence database and a combination of climate variables. Other environmental variables (e.g. elevation and human footprint index) were also considered, as well as the latitude and longitude of the occurrences. Principal component analysis was conducted to illustrate the association between environmental variables and Galliformes distributions. Using the Special Report on Emissions Scenarios (SRES) A2 climate change scenario for 2071-2100, we projected that 29 species would have range shifts over 50%, including 13 endemic species. Galliformes at higher elevation face greater range shifts. Northward shifts are greater than those in other directions. We suggest conservationists pay special attention to the 29 Galliformes that face extensive range shifts, especially the endemic species among them.
引用
收藏
页码:154 / 163
页数:10
相关论文
共 43 条
[11]   Avian range changes and climate change: a cautionary tale from the Cape Peninsula [J].
Hockey, Philip A. R. ;
Midgley, Guy F. .
OSTRICH, 2009, 80 (01) :29-34
[12]   Spatial interpolation of monthly mean climate data for China [J].
Hong, Y ;
Nix, HA ;
Hutchinson, MF ;
Booth, TH .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2005, 25 (10) :1369-1379
[13]  
Hosmer D.W., 1989, Applied Logistic regression
[14]   Phylogenetic relationships of four endemic genera of the Phasianidae in China based on mitochondrial DNA control-region genes [J].
Huang, Zuhao ;
Liu, Naifa ;
Xiao, Yi'an ;
Cheng, Yalin ;
Mei, Wenfeng ;
Wen, Longying ;
Zhang, Lixun ;
Yu, Xiaoping .
MOLECULAR PHYLOGENETICS AND EVOLUTION, 2009, 53 (02) :378-383
[15]  
HUNTLEY B, 2006, MOL PHYLOGENET EVOL, V148, P8
[16]  
Hutchinson MF, 2001, ANUSPLIN USER GUIDE
[17]  
IPCC, 2018, IPCC SPECIAL REPORT, DOI [DOI 10.2833/9937, DOI 10.1017/CBO9781107415324.004]
[18]  
Jones R.G., 2004, GENERATING HIGH RESO, P40
[19]   Common birds facing global changes: what makes a species at risk? [J].
Julliard, R ;
Jiguet, F ;
Couvet, D .
GLOBAL CHANGE BIOLOGY, 2004, 10 (01) :148-154
[20]   Linking patterns and processes in alpine plant communities: A global study [J].
Kikvidze, Z ;
Pugnaire, FI ;
Brooker, RW ;
Choler, P ;
Lortie, CJ ;
Michalet, R ;
Callaway, RM .
ECOLOGY, 2005, 86 (06) :1395-1400