Rainfall variability and fine-scale life history tradeoffs help drive niche partitioning in a desert annual plant community

Tradeoffs have long been an essential part of the canon explaining the maintenance of species diversity. Despite the intuitive appeal of the idea that no species can be a master of all trades, there has been a scarcity of linked demographic and physiological evidence to support the role of resource use tradeoffs in natural systems. Using five species of Chihuahuan desert summer annual plants, I show that demographic tradeoffs driven by short-term soil moisture variation act as a mechanism to allow multiple species to partition a limiting resource. Specifically, by achieving highest fitness in either rainfall pulse or interpulse periods, variability reduces fitness differences through time that could promote coexistence on a limiting resource. Differences in fitness are explained in part by the response of photosynthesis to changing soil moisture. My results suggest that increasing weather variability, as predicted under climate change, could increase the opportunity for coexistence in this community.

Effects of temperature and resource variation on insect population dynamics: the bordered plant bug as a case study

In species with complex life cycles, population dynamics result from a combination of intrinsic cycles arising from delays in the operation of negative density-dependent processes (e.g., intraspecific competition) and extrinsic fluctuations arising from seasonal variation in the abiotic environment. Abiotic variation can affect species directly through their life history traits and indirectly by modulating the species' interactions with resources or natural enemies.We investigate how the interplay between density-dependent dynamics and abiotic variability affects population dynamics of the bordered plant bug (Largus californicus), a Hemipteran herbivore inhabiting the California coastal sage scrub community. Field data show a striking pattern in abundance: adults are extremely abundant or nearly absent during certain periods of the year, leading us to predict that seasonal forcing plays a role in driving observed dynamics.We develop a stage-structured population model with variable developmental delays, in which fecundity is affected by both intra-specific competition and temporal variation in resource availability and all life history traits (reproduction, development, mortality) are temperature-dependent. We parameterize the model with experimental data on temperature-responses of life history and competitive traits and validate the model with independent field census data.We find that intra-specific competition is strongest at temperatures optimal for reproduction, which theory predicts leads to more complex population dynamics. Our model predicts that while temperature or resource variability interact with development-induced delays in self-limitation to generate population fluctuations, it is the interplay between all three factors that drive the observed dynamics. Considering how multiple abiotic factors interact with density-dependent processes is important both for understanding how species persist in variable environments and predicting species' responses to perturbations in their typical environment.

Complex Life Cycles in a Variable Environment: Predicting When the Timing of Metamorphosis Shifts from Resource Dependent to Developmentally Fixed

To test models of the timing of and size at metamorphosis, researchers manipulate food at several times during the larval phase of an animal's complex life cycle. Data from diverse taxa show that the age at metamorphosis becomes resource independent (i.e., fixed) at some point during the larval phase. Although existing models have been modified to incorporate a fixed rate of development, none predicts when phenotypic plasticity in metamorphic timing is lost. A graphical model is presented that extends knowledge of a genotype's optimal age and size at metamorphosis in different environments in which resources remain constant throughout the larval phase (i.e., the genotype's reaction norm) to predict when development rate becomes fixed in response to resource variability during the larval phase. Model predictions concur with data from food-switching experiments on anuran tadpoles and barnacle nauplii. As interest in the timing of and size at metamorphosis expands from well-studied taxa (e.g., amphibians) to the many others that have complex life cycles, the predictive model provides a useful tool to design and improve experiments.