Patch occupancy models are extremely important and popular tools for understanding the dynamics, and predicting the persistence, of spatially structured populations. Typically this endeavor is facilitated either by models from classic metapopulation theory focused on spatially explicit, dispersal-driven colonization–extinction dynamics and generally assuming perfect detection, or by more recent...

The survival of many species in human-dominated, fragmented landscapes depends on metapopulation dynamics, i.e., on a dynamic equilibrium of extinctions and colonizations in patches of suitable habitat. To understand and predict distributional changes, knowledge of these dynamics can be essential, and for this, metapopulation studies are preferably based on long-time-series data from many sites...

CropMetaPop is a new simulation tool to model the genetic evolution of crop diversity under on-farm dynamic management. Under this type conservation and use varieties, seeds are resown exchanged between farmers set connected populations described as metapopulation. therefore at interface social processes. We used sensitivity analyses check behaviour identify which parameters range values for th...

Because it affects dispersal risk and modifies competition levels, habitat fragmentation directly constrains evolution. When is traded-off against competitive ability, increased often expected to select higher dispersal. Such evolutionary effects could favor the maintenance of metapopulation by fostering spatial rescue effects. Using an model, we first investigate how evolves in a when aggregat...

I analyze stochastic patch occupancy models (SPOMs), which record habitat patches as empty or occupied. A problem with SPOMs has been that if the spatial structure of a heterogeneous habitat patch network is taken into account, the computational effort needed to analyze a SPOM grows as a power of 2n, where n is the number of habitat patches. I propose a computationally feasible approximation me...