Phenological response to climate change in China: a meta-analysis

被引:356
作者
Ge, Quansheng [1 ]
Wang, Huanjiong [1 ,2 ]
Rutishauser, This [3 ,4 ]
Dai, Junhu [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Univ Bern, Oeschger Ctr Climate Change Res OCCR, Bern, Switzerland
[4] Univ Bern, Inst Geog, Bern, Switzerland
基金
中国国家自然科学基金;
关键词
China; climate change; meta-analysis; phenology; season; trend; CHANGE IMPACTS; TEMPERATURE; CONSTRAINTS;
D O I
10.1111/gcb.12648
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960-2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75days decade(-1) ranging between 2.11 and 6.11days decade(-1) for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84days decade(-1), while other groups reveal an advancement ranging from 1.10 to 2.11days decade(-1). For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s-2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s-2000s) generally matches measured local warming across 49 sites in China (R=-0.33, P<0.05).
引用
收藏
页码:265 / 274
页数:10
相关论文
共 32 条
  • [1] Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
  • [2] [Anonymous], 2008, Concepts de base en securite civile, P1
  • [3] [Anonymous], J GEOPHYS RES
  • [4] Responses of spring phenology to climate change
    Badeck, FW
    Bondeau, A
    Böttcher, K
    Doktor, D
    Lucht, W
    Schaber, J
    Sitch, S
    [J]. NEW PHYTOLOGIST, 2004, 162 (02) : 295 - 309
  • [5] Climate change and unequal phenological changes across four trophic levels: constraints or adaptations?
    Both, Christiaan
    van Asch, Margriet
    Bijlsma, Rob G.
    van den Burg, Arnold B.
    Visser, Marcel E.
    [J]. JOURNAL OF ANIMAL ECOLOGY, 2009, 78 (01) : 73 - 83
  • [6] Chen XM, 2013, ADV PUB ENV OCCUP H, V2, P9
  • [7] Phenological responses of Ulmus pumila (Siberian Elm) to climate change in the temperate zone of China
    Chen, Xiaoqiu
    Xu, Lin
    [J]. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2012, 56 (04) : 695 - 706
  • [8] Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis
    Cong, Nan
    Wang, Tao
    Nan, Huijuan
    Ma, Yuecun
    Wang, Xuhui
    Myneni, Ranga B.
    Piao, Shilong
    [J]. GLOBAL CHANGE BIOLOGY, 2013, 19 (03) : 881 - 891
  • [9] Avian migration phenology and global climate change
    Cotton, PA
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (21) : 12219 - 12222
  • [10] The spatial pattern of leaf phenology and its response to climate change in China
    Dai, Junhu
    Wang, Huanjiong
    Ge, Quansheng
    [J]. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2014, 58 (04) : 521 - 528