title: Anisotropic patterned population synchrony in climatic gradients indicates nonlinear climatic forcing.
abstract: Although climatic forcing has been suspected to be the most common cause of spatial population synchrony owing to the Moran effect, it has proved difficult to disentangle the impact of climate from other possible causes of synchrony based on population survey data. Nonlinear population responses to climatic variation may be a part of this difficulty, but they can also provide an opportunity to highlight the climate impacts through targeted survey designs. In particular, when species distribution ranges encompass consistent spatial gradients in climate (e.g. according to latitude or altitude), such gradients can be strategically included in the spatial design of population surveys as to facilitate comparisons of spatial synchrony patterns across and along the gradient. In that case, we predict that nonlinear impacts of climatic variation on population growth rates will result in anisotropic (direction specific) synchrony patterns in the sense that synchrony will drop faster with distance along the climatic gradient than across it. We provide an empirical case study to exemplify survey design and analyses. Of two sympatric species of geometrids, inhabiting an altitudinal gradient in subarctic birch forest, one (Operophtera brumata L.) showed anisotropic synchrony consistent with a strongly nonlinear sensitivity to climatic variation, whereas the other (Epirrita autumnata Bkh.) did not. These results are interpreted in light of the biological characteristics of the species.
authors.affiliation: Department of Biology, University of Tromsø, 9037 Tromsø, Norway. snorre.hagen@ib.uit.no
authors.forename: Snorre B
authors.initials: SB
authors.lastname: Hagen
authors.forename: Jane U
authors.initials: JU
authors.lastname: Jepsen
authors.forename: Nigel G
authors.initials: NG
authors.lastname: Yoccoz
authors.forename: Rolf A
authors.initials: RA
authors.lastname: Ims
mesh_terms: D000818:Animals; D002980:Climate; D005843:Geography; D008962:Models, Theoretical; D009036:Moths / Q000502:physiology*; D009664:Norway; D011156:Population Density; D011157:Population Dynamics; D013045:Species Specificity; D013997:Time Factors