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A global synthesis of animal phenological responses to climate change
Open accessAbstract
Shifts in phenology are already resulting in disruptions to the timing of migration and breeding, and asynchronies between interacting species1–5. Recent syntheses have concluded that trophic level1, latitude6 and how phenological responses are measured7 are key to determining the strength of phenological responses to climate change. However, researchers still lack a comprehensive framework that can predict responses to climate change globally and across diverse taxa. Here, we synthesize hundreds of published time series of animal phenology from across the planet to show that temperature primarily drives phenological responses at mid-latitudes, with precipitation becoming important at lower latitudes, probably reflecting factors that drive seasonality in each region. Phylogeny and body size are associated with the strength of phenological shifts, suggesting emerging asynchronies between interacting species that differ in body size, such as hosts and parasites and predators and prey. Finally, although there are many compelling biological explanations for spring phenological delays, some examples of delays are associated with short annual records that are prone to sampling error. Our findings arm biologists with predictions concerning which climatic variables and organismal traits drive phenological shifts.A synthesis of animal phenology shows that temperature primarily drives mid-latitude responses, with precipitation important at lower latitudes. Phylogeny and body size are associated with the strength of phenological shifts.
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Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
A globally coherent fingerprint of climate change impacts across natural systems
Parmesan, C., & Yohe, G. (2003) · Nature · doi:10.1038/nature01286 · Cited by 11,265
Ecological responses to recent climate change.
Walther, G.-R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T. J. C., Fromentin, J.-M., Hoegh-Guldberg, O., & Bairlein, F. (2002) · Nature · doi:10.1038/416389a · Cited by 9,975
Fingerprints of global warming on wild animals and plants
Root, T. L., Price, J. T., Hall, K. R., Schneider, S. H., Rosenzweig, C., & Pounds, J. A. (2003) · Nature · doi:10.1038/nature01333 · Cited by 4,774
The global diversity of birds in space and time
Jetz, W., Thomas, G. H., Joy, J. B., Hartmann, K., & Mooers, A. O. (2012) · Nature · doi:10.1038/nature11631 · Cited by 3,934
Effects of Size and Temperature on Metabolic Rate
Gillooly, J. F., Brown, J. H., West, G. B., Savage, V. M., & Charnov, E. L. (2001) · Science · doi:10.1126/science.1061967 · Cited by 3,810
Impacts of the Cretaceous Terrestrial Revolution and KPg extinction on mammal diversification
Meredith, R. W., Janečka, J. E., Gatesy, J., Ryder, O. A., Fisher, C. A., Teeling, E. C., Goodbla, A., Eizirik, E., Simão, T. L. L., Stadler, T., et al. (2011) · Science · doi:10.1126/science.1211028 · Cited by 1,464
Scaling of insect metabolic rate is inconsistent with the nutrient supply network model
CHOWN, S. L., MARAIS, E., TERBLANCHE, J. S., KLOK, C. J., LIGHTON, J. R. B., & BLACKBURN, T. M. (2007) · Functional Ecology · doi:10.1111/j.1365-2435.2007.01245.x · Cited by 253
A Molecular Phylogenetic Framework for the Phylum Ctenophora Using 18S rRNA Genes
Podar, M., Haddock, S. H. D., Sogin, M. L., & Harbison, G. R. (2001) · Molecular Phylogenetics and Evolution · doi:10.1006/mpev.2001.1036 · Cited by 175
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Zarnetske, P. L., Gurevitch, J., Franklin, J., Groffman, P. M., Harrison, C. S., Hellmann, J. J., Hoffman, F. M., Kothari, S., Robock, A., Tilmes, S., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921854118 · Cited by 119
Thermal compensation reduces DNA damage from UV radiation
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Metadata
- Authors
- Cohen, J. M., Lajeunesse, M. J., & Rohr, J. R.
- Venue
- Nature Climate Change
- Published
- 2018-02-05
- Volume
- 8
- Issue
- 3
- Pages
- 224-228
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2790716069
- Cited by
- 550
- References
- 10
- FWCI
- 32.41
- Type
- journal article
- Language
- en
- Open access
- green
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