COS 50-6 - Collapse in a socio-ecological metapopulation model induced by cross-patch harvesting

Wednesday, August 14, 2019: 9:50 AM
L013, Kentucky International Convention Center
Zachary Dockstader, University of Waterloo, Waterloo, ON, Canada, Chris Bauch, Applied Mathematics, University of Waterloo, Waterloo, ON, Canada and Madhur Anand, Global Ecological Change & Sustainability Laboratory, School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
Background/Question/Methods

Over-exploitation of natural resources can have profound effects on both ecosystems and their resident human populations. Simple theoretical models of the dynamics of a population of human harvesters and the abundance of a natural resource being harvested (similar to predator-prey models of theoretical ecology) have been studied previously, but relatively few models consider the effect of metapopulation structure (i.e., a population distributed across discrete patches). Here we analyze a socio-ecological metapopulation model based on an existing single-population model used to study persistence and collapse in human populations. Resources grow logistically on each patch. Each population harvests resources on its own patch to support population growth, but can also harvest resources from other patches when their own patch resources become scarce. The model is calibrated to historical human population size data and the model is analyzed numerically.

Results/Conclusions

We show that when populations are allowed to harvest resources from other patches, the peak population size is higher, but subsequent population collapse is significantly accelerated and across a broader parameter regime. As the number of patches in the metapopulation increases, collapse is more sudden, more severe, and occurs sooner. These effects persist under scenarios of asymmetry and inequality between patches. Our model makes simplifying assumptions in order to facilitate insight and understanding of model dynamics. However, the robustness of the model prediction suggests that more sophisticated models should be developed to ascertain the impact of metapopulation structure on socio-ecological sustainability.