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Global change and bird distributions in North America
With Morgan Tingley, I examine how birds respond to changing vegetation and climate in California and across North America. I have shown that phenological shifts in the Californian avifauna allow birds to track their temperature niches during nesting (in revision). I am also examining how species co-occurrences have in response to global change in California and North America, and I am involved in a new NSF-funded project to understand how climate change impacts the three-level tropic system of trees, caterpillars, and birds using macro-scale North American datasets.
Biodiversity conservation in Peruvian Amazonia and beyond
As roadbuilding and hydrocarbons development penetrate the western Amazon, rural agriculture often follows. We know very little about the consequences of this process for biodiversity. Therefore, I spent several years surveying birds in slash-and-burn agricultural mosaics near Iquitos, Peru. I show that western Amazonian bird communities are unusually sensitive to agricultural disturbance, and this sensitivity might be predictably related to their extraordinary species richness. I also show that across the neotropics, primary forest bird surveys are consistently biased against sampling the most disturbance-sensitive species in the local species pool. As a consequence, existing studies are likely to overestimate the biodiversity value of disturbed habitats.
Amazonian bird distributions
In the Amazon, dramatic differences in soils and flooding regimes create a highly heterogeneous mosaic of forest types, and nobody understands this better than numerous birds that specialize on particular forest habitats. To understand how differences in vegetation structure, floristics, and flooding regime structure bird communities, I use anthropogenic disturbance as a natural experiment to decouple vegetation formations from the underlying abiotic world. Preliminarily, I have found a dominant role for vegetation structure in governing specialization, and a major role for productivity in determining local species richness.
Stochastic community dynamics
Ecologists often use ordinary differential equations (ODEs) to understand community dynamics, but real populations fluctuate stochastically. The nature of these fluctuations matters crucially to population dynamics and the maintenance of species diversity. In collaboration with Alex Washburne, I use a combination of simulation and empiricism to gain traction on stochastic community dynamics. Here’s the first paper to result from this line of inquiry.
Quantitative techniques for handling bird survey data
Occupancy modeling is a powerful statistical method for making inference on species distributions despite the possibility of false absences in biodiversity survey data. However, these models are sensitive to a variety of assumptions that may be violated in nature, and our tools to assess the adequacy and fit of these models (particularly hierarchical community occupancy models with species-specific random effects) remain poorly developed. I use simulations to understand how assumption violations might pose serious problems for inference, and to develop robust methods to determine when this is likely to be happening.