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Aggregate statistical measures and metapopulation dynamics

There are two main types of metapopulation models. Spatially implicit models are analytically tractable but neglect spatial heterogeneities. Spatially explicit models are more realistic but too complex. In this paper, I build a bridge between both approximations. I derive a new metapopulation model using a well-known technique in population genetics. Spatial heterogeneities are captured by an aggregate statistical measure of spatial correlation. When this correlation is zero, i.e., space is homogeneous, the model becomes the well-known Levins' model.

On the fractal nature of ecological and macroevolutionary dynamics

The identification, conservation, and management of estuarine and marine nurseries for fish and invertebrates

Nearshore estuarine and marine ecosystems—e.g., seagrass meadows, marshes, and mangrove forests—serve many important functions in coastal waters. Most notably, they have extremely high primary and secondary productivity and support a great abundance and diversity of fish and invertebrates. Because of their effects on the diversity and productivity of macrofauna, these estuarine and marine ecosystems are often referred to as nurseries in numerous papers, textbooks, and government-sponsored reports (Boesch and Turner 1984, NRC 1995, Butler and Jernakoff 1999).

Deforestation and forest regeneration following small-scale gold mining in the Amazon: The case of Suriname

Surprises and sustainability: Cycles of renewal in the Everglades

Sustainability and panarchies

Multiple stable states and landscape resilience

Using ecological dynamics to move towards an adaptive architecture

Political Ecology and ecological resilience: An integration of human and ecological dynamics

The risks and benefits of genetically modified crops: A multidisciplinary perspective