Global population dynamics and hot spots of response to climate change

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70 Scopus citations

Abstract

Understanding how biotic and abiotic factors influence the abundance and distribution of organisms has become more important with the growing awareness of the ecological consequences of climate change. In this article, we outline an approach that complements bioclimatic envelope modeling in quantifying the effects of climate change at the species level. The global population dynamics approach, which relies on distribution-wide, datadriven analyses of dynamics, goes beyond quantifying biotic interactions in population dynamics to identify hot spots of response to climate change. Such hot spots highlight populations or locations within species' distributions that are particularly sensitive to climate change, and identification of them should focus conservation and management efforts. An important result of the analyses highlighted here is pronounced variation at the species level in the strength and direction of population responses to warming. Although this variation complicates species-level predictions of responses to climate change, the global population dynamics approach may improve our understanding of the complex implications of climate change for species persistence or extinction.

Original languageEnglish
Pages (from-to)489-497
Number of pages9
JournalBioScience
Volume59
Issue number6
DOIs
StatePublished - Jun 2009

Funding

This article resulted from a workshop organized by E. P. at the Aarhus University, Denmark, supported by a grant to E. P. from the National Science Foundation (NSF). We thank the participants of that workshop for stimulating and inspiring discussions: Peter Aastrup, Mads C. Forchhammer, Ditte Hendrichsen, Toke T. Høye, Jacob Nabe-Nielsen, Niels Martin Schmidt, Chris Topping, and Mary Wisz. Comments by three anonymous referees are gratefully acknowledged. A. D. A. was supported by a graduate fellowship from Pennsylvania State University, and J. B. by the David H. Smith Conservation Research Fellowship. C. C. W. was supported by the NSF, and M. H. was supported by the University of Montana and the Canadian Association of Petroleum Producers.

Funders
Pennsylvania State University

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • Bioclimatic envelope modeling
    • Environmental niche model
    • Extinction
    • Global warming
    • Population dynamics

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