We are a research team focused on illuminating the mechanisms that maintain biodiversity in nature and using our understanding to forecast how ecological systems will respond to our changing world. Our approach is broad, bringing together field & lab experiments, natural history, statistics, math, and code.
We are based in the Department of Plant & Microbial Biology at North Carolina State University. During the field season, you may also find us crouched among the wildflowers at the Rocky Mountain Biological Lab or knee-deep in bogs & swamps at the University of Michigan Biological Station.
What allows species to persist in complex networks of species interactions?
How will populations behave when the new normal keeps changing?
How do global-scale data change the way we understand ecological systems?
Why does species diversity and composition differ from place to place?
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Abstract Predicting or controlling the state of an ecological community is a core global change challenge.
Abstract Matrix population models (MPMs) are an important tool for biologists seeking to understand the causes and consequences of variation in vital rates (e.
Abstract Genetic differentiation and phenotypic plasticity jointly shape intraspecific trait variation, but their roles differ among traits.
Abstract Organisms use environmental cues to align their phenology—the timing of life events—with sets of abiotic and biotic conditions that favor the successful completion of their life cycle.
Several long-term field studies are running worldwide on many taxa across the Tree of Life. These longitudinal studies involve several visits to the study population with repeated observations/measurements. Demographic data can be collected at the population level (e.g. time series of population counts) or at the individual level (e.g. monitoring of marked and/or georeferenced individuals throughout their life). These data are then used to estimate demographic parameters such as annual population abundances, survival, growth, and reproductive rates. This chapter introduces the reader to monitoring methods (including recent technologies) that can be implemented in the field to collect specific demographic data on mobile species (e.g. birds, mammals) at both the population and individual levels, while dealing with imperfect detection. It also presents the procedures and the type of demographic data that can be collected on sessile species (e.g. corals, plants) at both levels. Finally, the chapter concludes with new aspects, current biases, and arising challenges for future long-term field studies.