Variation in the availability of food resources over space and time is a likely driver of how landscape structure and composition affect animal populations. Few studies, however, have directly assessed the spatiotemporal variation in resource availability that arises from landscape pattern, or its effect on populations and population dynamic parameters. We tested the effect of floral resource a...

The cougar is a large predatory feline found widely in the Americas. To assess genetic differentiation in cougars, previous research used a Bayesian clustering model with genetic data and found evidence of genetic population structure in cougars, with suggestive but indistinct spatial boundaries between subpopulations. These patterns are intriguing, particularly because the model ignored spatia...

Tropical forests convert more atmospheric carbon into biomass each year than any terrestrial ecosystem on Earth, underscoring the importance of accurate tropical forest structure and biomass maps for the understanding and management of the global carbon cycle. Ecologists have long used field inventory plots as the main tool for understanding forest structure and biomass at landscape-to-regional...

Wetland protection, floral and faunal resource management, and habitat migration are all concerns for the ecological risk of wetland landscapes. Indices of landscape-scale ecological risks have the potential to influence changes in landscape patterns, the conditions of endangered plants and animals, and influences from nature and humans. Semi-variation function and gravity center models were us...

With predicted decreases in genetic diversity and greater genetic differentiation at range peripheries relative to their cores, it can be difficult to distinguish between the roles of current disturbance versus historic processes in shaping contemporary genetic patterns. To address this problem, we test for differences in historic demography and landscape genetic structure of coastal giant sala...

We established a theoretical framework for studying nonequilibrium networks with two distinct natures essential for characterizing the global probabilistic dynamics: the underlying potential landscape and the corresponding curl flux. We applied the idea to a biochemical oscillation network and found that the underlying potential landscape for the oscillation limit cycle has a distinct closed ri...