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Carbon isotope composition of tree leaves from Guanacaste, Costa Rica: Comparison across tropical forests and tree life history

Tree damage, allometric relationships, and above-ground net primary production in Central Amazon forest

Measuring net primary production in forests: Concepts and field methods

Net primary production and carbon allocation patterns of boreal forest ecosystems

Biomass and NPP estimation for the mid-Atlantic region (USA) using plot-level forest inventory data

Synthesis and analysis of biomass and net primary production in Chinese forests

Are population cycles and spatial synchrony a universal characteristic of forest insect populations

What causes outbreaks of the gypsy moth in North America?

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