TY - JOUR
T1 - Spatial population dynamics
T2 - Analyzing patterns and processes of population synchrony
AU - Bjørnstad, Ottar N.
AU - Ims, Rolf A.
AU - Lambin, Xavier
N1 - Funding Information:
Comments from Bärbel Finkenstädt, Bryan Grenfell, Walter Koenig and one anonymous reviewer are gratefully acknowledged. Funding was received from the National Center for Ecological Analysis and Synthesis (ONB) (a Center funded by NSF Grant #DEB-94-21535, the University of California Santa Barbara, and the State of California), the Norwegian Science Foundation (ONB, RAI) and NERC (XL grant GST/02/1218).
PY - 1999/11/1
Y1 - 1999/11/1
N2 - The search for mechanisms behind spatial population synchrony is currently a major issue in population ecology. Theoretical studies highlight how synchronizing mechanisms such as dispersal, regionally correlated climatic variables and mobile enemies might interact with local dynamics to produce different patterns of spatial covariance. Specialized statistical methods, applied to large-scale survey data, aid in testing the theoretical predictions with empirical estimates. Observational studies and experiments on the demography of local populations are paramount to identify the true ecological mechanisms. The recent achievements illustrate the power of combining theory, observation and/or experimentation and statistical modeling in the ecological research protocol.
AB - The search for mechanisms behind spatial population synchrony is currently a major issue in population ecology. Theoretical studies highlight how synchronizing mechanisms such as dispersal, regionally correlated climatic variables and mobile enemies might interact with local dynamics to produce different patterns of spatial covariance. Specialized statistical methods, applied to large-scale survey data, aid in testing the theoretical predictions with empirical estimates. Observational studies and experiments on the demography of local populations are paramount to identify the true ecological mechanisms. The recent achievements illustrate the power of combining theory, observation and/or experimentation and statistical modeling in the ecological research protocol.
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U2 - 10.1016/S0169-5347(99)01677-8
DO - 10.1016/S0169-5347(99)01677-8
M3 - Review article
AN - SCOPUS:0033231663
SN - 0169-5347
VL - 14
SP - 427
EP - 432
JO - Trends in Ecology and Evolution
JF - Trends in Ecology and Evolution
IS - 11
ER -