Macroecological patterns of rodent population dynamics shaped by bioclimatic gradients

Long-term studies of cyclic rodent populations have contributed fundamentally to the development of population ecology. Previous research has shown macroecological patterns of population dynamics in relation to latitude, but without disentangling the role of underlying ecological and climate drivers...

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Main Authors: Soininen, Eeva, Magnusson, Magnus, Jepsen, Jane, Eide, Nina, Yoccoz, Nigel G., Angerbjörn, Anders, Breisjøberget, Jo Inge, Ecke, Frauke, Ehrich, Dorothee, Framstad, Erik, Henttonen, Heikki, Hörnfeldt, Birger, Killengren, Siw, Olofsson, Johan, Oksanen, Lauri, Oksanen, Tarja, Tveito, Ole, Ims, Rolf
Format: Other/Unknown Material
Language:unknown
Published: Authorea, Inc. 2023
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Online Access:http://dx.doi.org/10.22541/au.169211023.35851530/v1
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Summary:Long-term studies of cyclic rodent populations have contributed fundamentally to the development of population ecology. Previous research has shown macroecological patterns of population dynamics in relation to latitude, but without disentangling the role of underlying ecological and climate drivers. We collected 26 rodent time-series from the tundra biome and assessed how population dynamics characteristics of the most prevalent species varied with latitude and environmental variables. While we could not find a relationship between latitude and population cycle peak interval, other characteristics of population dynamics had latitudinal patterns. The environmental predictor variables provided insight into causes of these patterns, as i) increased proportion of optimal habitat in the landscape led to higher population cycle amplitudes in all species and ii) mid-winter climate variability had negative impacts on cycle amplitude in Norwegian lemmings and grey-sided voles. These results indicate that biome-scale climate and landscape change can be expected to have profound impacts on rodent population cycles and that the macro-ecology of such functionally important tundra ecosystem characteristics is likely to be subjected to transient dynamics.