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Coupling in goshawk and grouse population dynamics in Finland
Risto Tornberg1, Andreas Lindén, Patrik Byholm
1Department of Biology, University of Oulu, Oulu, Finland. risto.tornberg@oulu.fi
Oecologia
|September 11, 2012
Summary
Predator-prey dynamics reveal that while northern goshawks (Accipiter gentilis) and forest grouse populations fluctuate together, individual prey species like hazel grouse and black grouse have distinct impacts. Pooling data on similar prey can obscure crucial ecological interactions.
Area of Science:
- Ecology
- Population Dynamics
- Wildlife Biology
Background:
- Predator-prey relationships are complex, influenced by prey species' traits and population densities.
- Forest grouse species (hazel, black, and capercaillie) are key prey for northern goshawks in Finland.
- Synchronous fluctuations in prey populations can complicate analyses of predator-prey dynamics.
Purpose of the Study:
- To model the population dynamics of northern goshawks and their main forest grouse prey in Finland.
- To assess the relative significance of individual prey species on goshawk population dynamics.
- To investigate the tightness of predator-prey coupling, considering density dependence, winter severity, and spatial correlation.
Main Methods:
- Utilized first-order log-linear vector autoregressive models.
- Analyzed long-term count data for northern goshawks (Accipiter gentilis) and three grouse species (1983-2010).
- Developed nine competing candidate models to test various combinations of prey effects on goshawk dynamics with lags of 1-3 years.
Main Results:
- Northern goshawk populations showed separate density effects from hazel grouse and black grouse, with lags of 1 and 3 years.
- Capercaillie had no discernible effect on goshawk populations, but goshawk presence negatively impacted capercaillie populations.
- Winter severity significantly affected both goshawk and hazel grouse populations negatively.
Conclusions:
- While large-scale goshawk-grouse population dynamics are coupled, individual species within the guild lack clear mutual effects.
- Pooling data from closely related, synchronously fluctuating prey species can lead to a loss of specific ecological information.
- Understanding species-specific interactions is crucial for accurate predator-prey modeling, even within a unified prey guild.