globalchange  > 过去全球变化的重建
DOI: 10.1111/gcb.14593
WOS记录号: WOS:000467441900020
论文题名:
Extreme heterogeneity of population response to climatic variation and the limits of prediction
作者: Nice, Chris C.1; Forister, Matthew L.2; Harrison, Joshua G.3; Gompert, Zachariah4; Fordyce, James A.5; Thorne, James H.6; Waetjen, David P.6; Shapiro, Arthur M.7
通讯作者: Nice, Chris C.
刊名: GLOBAL CHANGE BIOLOGY
ISSN: 1354-1013
EISSN: 1365-2486
出版年: 2019
卷: 25, 期:6, 页码:2127-2136
语种: 英语
英文关键词: Bayesian hierarchical model ; climate change ; long-term data ; monitoring ; weather
WOS关键词: PHENOLOGICAL RESPONSE ; BUTTERFLIES ; DIVERSITY ; DECLINES ; WEATHER ; TEMPERATURE ; COMMUNITY ; INCREASE ; SHIFTS
WOS学科分类: Biodiversity Conservation ; Ecology ; Environmental Sciences
WOS研究方向: Biodiversity & Conservation ; Environmental Sciences & Ecology
英文摘要:

Certain general facets of biotic response to climate change, such as shifts in phenology and geographic distribution, are well characterized; however, it is not clear whether the observed similarity of responses across taxa will extend to variation in other population-level processes. We examined population response to climatic variation using long-term incidence data (collected over 42 years) encompassing 149 butterfly species and considerable habitat diversity (10 sites along an elevational gradient from sea level to over 2,700 m in California). Population responses were characterized by extreme heterogeneity that was not attributable to differences in species composition among sites. These results indicate that habitat heterogeneity might be a buffer against climate change and highlight important questions about mechanisms maintaining interpopulation differences in responses to weather. Despite overall heterogeneity of response, population dynamics were accurately predicted by our model for many species at each site. However, the overall correlation between observed and predicted incidence in a cross validation analysis was moderate (Pearson's r = 0.23, SE 0.01), and 97% of observed data fell within the predicted 95% credible intervals. Prediction was most successful for more abundant species as well as for sites with lower annual turnover. Population-level heterogeneity in response to climate variation and the limits of our predictive power highlight the challenges for a future of increasing climatic variability.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139951
Appears in Collections:过去全球变化的重建

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作者单位: 1.Texas State Univ, Populat & Conservat Biol Program, Dept Biol, San Marcos, TX USA
2.Univ Nevada, Dept Biol, Program Ecol Evolut & Conservat Biol, Reno, NV 89557 USA
3.Univ Wyoming, Bot Dept, Laramie, WY 82071 USA
4.Utah State Univ, Dept Biol, Logan, UT 84322 USA
5.Univ Tennessee, Dept Ecol & Evolutionary Biol, Knoxville, TN USA
6.Univ Calif Davis, Dept Environm Sci & Policy, Davis, CA 95616 USA
7.Univ Calif Davis, Ctr Populat Biol, Davis, CA 95616 USA

Recommended Citation:
Nice, Chris C.,Forister, Matthew L.,Harrison, Joshua G.,et al. Extreme heterogeneity of population response to climatic variation and the limits of prediction[J]. GLOBAL CHANGE BIOLOGY,2019-01-01,25(6):2127-2136
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