Publication Abstracts

Pau et al. 2011

Pau, S., E.M. Wolkovich, B.I. Cook, T.J. Davies, N.J.B. Kraft, K. Bolmgren, J.L. Betancourt, and E.E. Cleland, 2011: Predicting phenology by integrating ecology, evolution and climate science. Glob. Change Biol., 17, 3633-3643, doi:10.1111/j.1365-2486.2011.02515.x.

Forecasting how species and ecosystems will respond to climate change has been a major aim of ecology in recent years. Much of this research has focused on phenology — the timing of life-history events. Phenology has well-demonstrated links to climate, from genetic to landscape scales; yet our ability to explain and predict variation in phenology across species, habitats and time remains poor. Here, we outline how merging approaches from ecology, climate science and evolutionary biology can advance research on phenological responses to climate variability. Using insight into seasonal and interannual climate variability combined with niche theory and community phylogenetics, we develop a predictive approach for species- reponses to changing climate. Our approach predicts that species occupying higher latitudes or the early growing season should be most sensitive to climate and have the most phylogenetically conserved phenologies. We further predict that temperate species will respond to climate change by shifting in time, while tropical species will respond by shifting space, or by evolving. Although we focus here on plant phenology, our approach is broadly applicable to ecological research of plant responses to climate variability.

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BibTeX Citation

  author={Pau, S. and Wolkovich, E. M. and Cook, B. I. and Davies, T. J. and Kraft, N. J. B. and Bolmgren, K. and Betancourt, J. L. and Cleland, E. E.},
  title={Predicting phenology by integrating ecology, evolution and climate science},
  journal={Glob. Change Biol.},

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RIS Citation

ID  - pa02400t
AU  - Pau, S.
AU  - Wolkovich, E. M.
AU  - Cook, B. I.
AU  - Davies, T. J.
AU  - Kraft, N. J. B.
AU  - Bolmgren, K.
AU  - Betancourt, J. L.
AU  - Cleland, E. E.
PY  - 2011
TI  - Predicting phenology by integrating ecology, evolution and climate science
JA  - Glob. Change Biol.
VL  - 17
SP  - 3633
EP  - 3643
DO  - 10.1111/j.1365-2486.2011.02515.x
ER  -

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