Detecting nonlinear response of spring phenology to climate change by Bayesian 
analysis

Pope, K. S.; Dose, V.; Da Silva, D.; Brown, P. H.; Leslie, C. A.; DeJong, T. M.

doi:10.1111/gcb.12130

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Detecting nonlinear response of spring phenology to climate change by Bayesian analysis

Pope, K. S., Dose, V., Da Silva, D., Brown, P. H., Leslie, C. A., & DeJong, T. M. (2013). Detecting nonlinear response of spring phenology to climate change by Bayesian analysis. Global Change Biology, 10(5), 1518-1525. doi:10.1111/gcb.12130.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-DF13-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-DF14-E

Genre: Journal Article

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Creators:
Pope, K. S.¹, Author
Dose, V.², Author
Da Silva, D.¹, Author
Brown, P. H.¹, Author
Leslie, C. A.¹, Author
DeJong, T. M.¹, Author

Affiliations:
1Department of Plant Sciences, University of California, Davis, CA 95616, USA, ou_persistent22
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Date issued: 2013

Publication Status: Issued

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Rev. Type: Peer

Identifiers: eDoc: 655837
DOI: 10.1111/gcb.12130
URI: http://dx.doi.org/10.1111/gcb.12130

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Title: Global Change Biology

Source Genre: Journal

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Publ. Info: Blackwell Publishing Ltd

Pages: - Volume / Issue: 10 (5) Sequence Number: - Start / End Page: 1518 - 1525 Identifier: -