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Bee phenology is predicted by climatic variation and functional traits.
Stemkovski, Michael; Pearse, William D; Griffin, Sean R; Pardee, Gabriella L; Gibbs, Jason; Griswold, Terry; Neff, John L; Oram, Ryan; Rightmyer, Molly G; Sheffield, Cory S; Wright, Karen; Inouye, Brian D; Inouye, David W; Irwin, Rebecca E.
Afiliação
  • Stemkovski M; Department of Biology & Ecology Center, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA.
  • Pearse WD; Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA.
  • Griffin SR; Department of Biology & Ecology Center, Utah State University, 5305 Old Main Hill, Logan, UT, 84322, USA.
  • Pardee GL; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Rd., Ascot, Berkshire, SL5 7PY, UK.
  • Gibbs J; Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA.
  • Griswold T; Department of Integrative Biology, University of Texas at Austin, 2415 Speedway, Stop C0930, Austin, TX, 78712, USA.
  • Neff JL; Rocky Mountain Biological Laboratory, Crested Butte, CO, 81224, USA.
  • Oram R; Department of Integrative Biology, University of Texas at Austin, 2415 Speedway, Stop C0930, Austin, TX, 78712, USA.
  • Rightmyer MG; Department of Entomology, University of Manitoba, Winnipeg, Manitoba, R3T 2N2, Canada.
  • Sheffield CS; USDA-ARS Pollinating Insects Research Unit, Utah State University, Logan, UT, 84322-5310, USA.
  • Wright K; Central Texas Melittological Institute, 7307 Running Rope, Austin, TX, 78731, USA.
  • Inouye BD; Royal Saskatchewan Museum, 2340 Albert Street, Regina, Saskatchewan, S4P 2V7, Canada.
  • Inouye DW; San Diego, CA, 92116, USA.
  • Irwin RE; Royal Saskatchewan Museum, 2340 Albert Street, Regina, Saskatchewan, S4P 2V7, Canada.
Ecol Lett ; 23(11): 1589-1598, 2020 Nov.
Article em En | MEDLINE | ID: mdl-32812695
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Flores Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País como assunto: America do norte Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Flores Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País como assunto: America do norte Idioma: En Ano de publicação: 2020 Tipo de documento: Article