Natural groundwater recharge is inherently difficult to quantify and predict, largely because it comprises a series of processes that are spatially distributed and temporally variable. Infiltration ponds used for managed aquifer recharge (MAR) provide an opportunity to quantify recharge processes across multiple scales under semicontrolled conditions. We instrumented a 3-ha MAR infiltration pond to measure and compare infiltration patterns determined using whole-pond and point-specific methods. Whole-pond infiltration was determined by closing a transient water budget (accounting for inputs, outputs, and changes in storage), whereas point-specific infiltration rates were determined using heat as a tracer and time series analysis at eight locations in the base of the pond. Whole-pond infiltration, normalized for wetted area, rose rapidly to more than 1.0 m/d at the start of MAR operations (increasing as pond stage rose), was sustained at high rates for the next 40 d, and then decreased to less than 0.1 m/d by the end of the recharge season. Point-specific infiltration rates indicated high spatial and temporal variability, with the mean of measured values generally being lower than rates indicated by whole-pond calculations. Colocated measurements of head gradients within saturated soils below the pond were combined with infiltration rates to calculate soil hydraulic conductivity. Observations indicate a brief period of increasing saturated hydraulic conductivity, followed by a decrease of one to two orders of magnitude during the next 50 to 75 d. Locations indicating the most rapid infiltration shifted laterally during MAR operation, and we suggest that infiltration may function as a "variable source area" processes, conceptually similar to catchment runoff.

A work of fiction.

The deleterious potential to generate oxidative stress and damage is a fundamental challenge to metabolism. The oxidative stress response transcription factor, SKN-1/NRF2, can sense and respond to changes in metabolic state, although the mechanism and physiological consequences of this remain unknown. To explore this connection, we performed a genetic screen in C. elegans targeting amino acid catabolism and identified multiple metabolic pathways as regulators of SKN-1 activity. We found that genetic perturbation of the conserved amidohydrolase T12A2.1/amdh-1 activates a unique subset of SKN-1 regulated detoxification genes. Interestingly, this transcriptional program is independent of canonical P38-MAPK signaling components but requires the GATA transcription factor ELT-3, nuclear hormone receptor NHR-49, and mediator complex subunit MDT-15. This activation of SKN-1 is dependent on upstream histidine catabolism genes HALY-1 and Y51H4A.7/UROC-1 and may occur through accumulation of a catabolite, 4-imidazolone-5-propanoate (IP). Triggering SKN-1 activation results in a physiological trade off of increased oxidative stress resistance but decreased survival to heat stress. Together, our data suggest that SKN-1 is a key surveillance factor which senses and responds to metabolic perturbations to influence physiology and stress resistance.

Climate change is ostensibly one of the greatest modern selective pressures, and species with sensitive life histories or physiologies must adapt, migrate, or buffer its effects to persist. Some 15–37% of species are expected to be endangered or extinct by 2050. The most vulnerable include habitat specialists, local endemics, and species with low intrinsic growth rates. Yosemite toads (Anaxyrus canorus) are one such alpine endemic, having been extirpated from up to 69% of their historical range. Several features of their natural history make them vulnerable: small population sizes, high larval mortality, infrequent breeding, and specialized, patch-limited habitat prone to premature desiccation. In addition to their role as ecosystem flagships, Yosemite toads provide a model system for the many other specialists with similar life histories that are challenged by environmental change. The goal of this dissertation is to understand how historical evolutionary processes such as lineage divergence and secondary admixture, along with current levels of genetic connectivity, are expected to shape the future of Yosemite toad persistence in the face of climate change. The first chapter reconstructs phylogeographic patterns of lineage formation and fusion during repeated bouts of Pleistocene glaciation, and showcases a role for refugia in ecological divergence. The second chapter examines three contact zones as replicate tests of the hypothesis that loci associated with incipient speciation are distinct from those that readily cross ancient lineage boundaries. The third chapter models modern genetic connectivity as a network of environmental and climatic interactions, using a novel approach that incorporates phylogeographic structure. The fourth chapter forecasts the future selective pressure of climate change, and predicts where connectivity may be a mitigating force to restore genetic diversity. My dissertation provides an example of how conservation strategies can incorporate the many temporal processes (ancient, recent, and current) that have shaped current genetic diversity patterns, and use a “total evidence” approach to predict future adaptive potential.