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DOI | 10.1111/ele.13583 |
Bee phenology is predicted by climatic variation and functional traits | |
Stemkovski M.; Pearse W.D.; Griffin S.R.; Pardee G.L.; Gibbs J.; Griswold T.; Neff J.L.; Oram R.; Rightmyer M.G.; Sheffield C.S.; Wright K.; Inouye B.D.; Inouye D.W.; Irwin R.E. | |
发表日期 | 2020 |
ISSN | 1461023X |
起始页码 | 1589 |
结束页码 | 1598 |
卷号 | 23期号:11 |
英文摘要 | Climate change is shifting the environmental cues that determine the phenology of interacting species. Plant–pollinator systems may be susceptible to temporal mismatch if bees and flowering plants differ in their phenological responses to warming temperatures. While the cues that trigger flowering are well-understood, little is known about what determines bee phenology. Using generalised additive models, we analyzed time-series data representing 67 bee species collected over 9 years in the Colorado Rocky Mountains to perform the first community-wide quantification of the drivers of bee phenology. Bee emergence was sensitive to climatic variation, advancing with earlier snowmelt timing, whereas later phenophases were best explained by functional traits including overwintering stage and nest location. Comparison of these findings to a long-term flower study showed that bee phenology is less sensitive than flower phenology to climatic variation, indicating potential for reduced synchrony of flowers and pollinators under climate change. © 2020 John Wiley & Sons Ltd. |
关键词 | Climate changeemergenceenvironmental cuesGAM (generalised additive models)Hymenopteramismatchpeakphenophasessenescence |
英文关键词 | bee; climate change; environmental factor; flowering; overwintering; phenology; plant-pollinator interaction; Colorado; Rocky Mountains; United States; Apoidea; Hymenoptera; Magnoliophyta; animal; bee; climate change; Colorado; flower; season; temperature; Animals; Bees; Climate Change; Colorado; Flowers; Seasons; Temperature |
语种 | 英语 |
来源期刊 | Ecology Letters |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/204298 |
作者单位 | Department of Biology & Ecology Center, Utah State University, 5305 Old Main Hill, Logan, UT 84322, United States; Rocky Mountain Biological Laboratory, Crested Butte, CO 81224, United States; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Rd., Ascot, Berkshire, SL5 7PY, United Kingdom; Department of Integrative Biology, University of Texas at Austin, 2415 Speedway, Stop C0930, Austin, TX 78712, United States; Department of Entomology, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; USDA-ARS Pollinating Insects Research Unit, Utah State University, Logan, UT 84322-5310, United States; Central Texas Melittological Institute, 7307 Running Rope, Austin, TX 78731, United States; Royal Saskatchewan Museum, 2340 Albert Street, Regina, SK S4P 2V7, Canada; San Diego, CA 92116, United States; Department of Entomology, Texas A&M University, 2475 TAMU, College Station, TX 77845, United States; Department of Biological Science, Florida State University, Tallahassee... |
推荐引用方式 GB/T 7714 | Stemkovski M.,Pearse W.D.,Griffin S.R.,et al. Bee phenology is predicted by climatic variation and functional traits[J],2020,23(11). |
APA | Stemkovski M..,Pearse W.D..,Griffin S.R..,Pardee G.L..,Gibbs J..,...&Irwin R.E..(2020).Bee phenology is predicted by climatic variation and functional traits.Ecology Letters,23(11). |
MLA | Stemkovski M.,et al."Bee phenology is predicted by climatic variation and functional traits".Ecology Letters 23.11(2020). |
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