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Time Series Identify Population Responses To Climate Change

Date:
June 2, 2009
Source:
American Institute of Biological Sciences
Summary:
Sophisticated studies that correlate fluctuations in animal populations with climate indices across large areas and over multiple years are revealing rich patterns. The approach can point researchers to particularly vulnerable populations, and it can reveal previously unrecognized biological interactions between species.

Biologists have for several years modeled how different species are likely to respond to climate change. Most such studies ignore differences between populations within a species and the interactions between species, in the interest of simplicity.

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An article in the June issue of BioScience, by Eric Post of Pennsylvania State University and five colleagues, shows how these limitations can be avoided. Their approach, which relies on multi-stage analyses of how populations fluctuate over time, could allow biologists to model responses to climate change with improved accuracy. In particular, the approach could help identify regions where local populations are vulnerable to climate change, and it could elucidate species interactions that may not be obvious.

The article concentrates on recent analyses by Post and others of yellow-billed cuckoos, caribou/wild reindeer, elk and red deer, and wolves and moose. Continent-wide and hemisphere-wide responses depended both on local weather and on broader climate patterns, and all species showed marked variation among populations. The pattern of responses, Post and colleagues report, "suggests a strong role for species interactions in buffering responses to climate." For example, local populations near the northern edge of a species' range often seem to be more directly affected by climate than do populations near the southern edge, where biological interactions typically complicate responses to climate change.

The time series approach described by Post and colleagues is intended to supplement simpler methods rather than replace them. It can only be used on species for which there are detailed abundance records extending over, ideally, 25 years or more. Still, the authors note, refinements in statistical techniques are starting to allow more imperfect data to be analyzed, and data are accumulating, so the outlook for time-series analysis is promising.


Story Source:

The above story is based on materials provided by American Institute of Biological Sciences. Note: Materials may be edited for content and length.


Journal Reference:

  1. Eric Post, Jedediah Brodie, Mark Hebblewhite, Angela D. Anders, Julie A. K. Maier, and Christopher C. Wilmers. Global Population Dynamics and Hot Spots of Response to Climate Change. BioScience, June 1, 2009

Cite This Page:

American Institute of Biological Sciences. "Time Series Identify Population Responses To Climate Change." ScienceDaily. ScienceDaily, 2 June 2009. <www.sciencedaily.com/releases/2009/06/090601091932.htm>.
American Institute of Biological Sciences. (2009, June 2). Time Series Identify Population Responses To Climate Change. ScienceDaily. Retrieved November 25, 2014 from www.sciencedaily.com/releases/2009/06/090601091932.htm
American Institute of Biological Sciences. "Time Series Identify Population Responses To Climate Change." ScienceDaily. www.sciencedaily.com/releases/2009/06/090601091932.htm (accessed November 25, 2014).

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