Hello! I am a Ph.D. Candidate in the School of Sustainability at Arizona State University. My research focuses on the economics of species conservation and management.
In my dissertation, I use causal inference and discrete optimization methods to answer the following questions:
- What are the labor market costs of regulations that protect endangered species?
- How does the management of invasive species via pesticide use create tradeoffs between human health and agricultural productivity?
- What is the optimal design of protected areas for terrestrial migratory species that traverse large heterogenous landscapes?
My Ph.D. training is in environmental & natural resource economics, which I blend with my prior research experience in conservation science and ecological modeling to answer policy relevant questions in my work. Before my Ph.D. I worked for three years as a research assistant at Resources for the Future, and prior to that I earned my undergraduate degree from The College of William & Mary.
Working Papers
Labor Market Impacts of U.S. Endangered Species Act Regulations
2025
The U.S. Endangered Species Act (ESA) provides regulatory protections for imperiled species habitat that are considered to be some of the strongest in the world. Critics of the ESA claim that these regulations are costly to local economies, often pointing to highly publicized job losses among a few controversial species listing contexts. Our study is the first to empirically assess the external validity of these claims by using quasi-experimental methods to estimate labor market impacts for a much larger set of species than has been analyzed to date. We do so for 128 terrestrial species that have been affected by the full regulatory extent of the ESA -- both listing and critical habitat designations -- over a 32 year period that the ESA has been active. We find no evidence that ESA regulations have impacted total employment growth in regulated areas. Further, we use LLMs to link species-specific threat information to the economic sectors most likely to be regulated in each regulatory context, and estimate a distribution of species-sector impacts tied to the mechanisms of the ESA. We find no impact of ESA regulations on labor markets for the majority of these cases, with large proportional impacts in only three species-sector cases. We highlight that the labor market costs of the ESA are low on average but concentrated in particular contexts in particular economic sectors, providing a more holistic perspective of how the ESA has impacted local economic activity to date.
Does the Value of Reliability Capitalize in Water Markets?
Submitted2025
Policies to allocate common-pool renewable resources can include provisions that allow managers to adjust to temporary reductions in the underlying abundance of the resource. One such provision is to issue property rights that are differentiated in the likelihood that the rights holder will be able to exercise the activity defined in the property right during times of resource shortage, making some rights more reliable than others. In this paper, we examine if the value of reliability is reflected in prices paid for transfers of property rights for natural resources, drawing on data from water market transactions in Chile. We find that these transactions exhibit relationships between reliability and prices paid that are consistent with economic intuition: more reliable water rights are associated with higher prices per unit of water.
The High Value of Satellite Data in Terrestrial Habitat Corridor Design for Large Migratory Species
Submitted2025
Advances in remote sensing of land use and GPS animal movement data offer a pathway to improving conservation outcomes through increased accuracy and spatial resolution of data used by conservation planners, but to date, these data have not been widely incorporated into terrestrial migratory species corridor design. We illustrate the potential conservation gains, measured in terms of increased site utilization, of incorporating satellite data into an integer-programming model to design migratory corridors for four elk herds in the Greater Yellowstone Ecosystem. We compare expected site utilization outcomes for corridors planned using the new satellite data to expected utilization outcomes using traditional coarse habitat range maps and agricultural land cost data. For low budgets typical in conservation planning, increases in expected corridor site utilization from using satellite versus traditional data -- i.e., the value of satellite data -- range from 47-538% across herds, with heterogeneity in whether improved cost or benefit data was the main driver of the gains. Overall, our results suggest investment in development and use of satellite data products could substantially improve conservation outcomes for a given budget.
Selected Works in Progress
Invasive Species, Pesticide Use, and Infant Mortality
2025
Pesticides are an important input to production for agricultural producers but pose external costs to society in the form of health impacts. In this study, I quantify the costs and benefits of command-and-control regulations for a particularly neurotoxic insecticide called aldicarb. I do so by leveraging a sharp change in the ecological system, the introduction of the invasive citrus greening disease in Florida citrus groves in the mid-2000s, which was followed by a near tripling in the quantity of aldicarb applied by local farmers until it's ensuing phaseout and ban in the United States in 2010. I use this sudden rise and fall in the application of aldicarb as identifying variation to estimate an 8-15% increase in internal infant mortality relative to the years before and after the spike in the use of the pesticide. Further, I show preliminary evidence that citrus production drops (6 tons/acre) in the years after the pesticide ban, illustrating the tradeoff that the ban poses between agricultural productivity and human health.
Optimal Management of Natural Resources Generating Multiple Ecosystem Services
2025
Water allocation decisions affect many aquatic ecosystems and often involve tradeoffs with other human uses of water. These tradeoffs lead to conflicts between different types of water users. Impending climate pressure is expected to decrease water availability and increase variability in water supply in many of these systems, increasing conflict related to allocation decisions. In this paper we develop a process-based modeling framework that combines microeconomic models and parsimonious models of natural systems to examine the societal benefits of water allocated to each of two different types of users. The framework is based on a conceptualization of a social planner who allocates water to a fishery spawning ground and regional agricultural producers in a coordinated manner. We focus on systems with hydrologic and ecological linkages. We use numerical methods to show that model parameters and functional forms for the hydrologic and ecological linkages influence the optimal coordinated management of water use by the linked users.
Peer-Reviewed Publications
Attributes of preemptive conservation efforts for species precluded from listing under the US Endangered Species Act
Conservation Biology, 2024
Preemptive conservation efforts to reduce threats have been credited with precluding the need to list some imperiled species under the U.S. Endangered Species Act (ESA). Such efforts can result in outcomes where species are conserved and regulatory costs associated with ESA listing are avoided. Yet, the extent and type of conservation effort involved in achieving preclusion from listing are not well understood. We quantified the attributes of conservation efforts identified as important for 43 species whose preclusion from listing was attributed to conservation efforts, as described in U.S. Federal Register documents that report the decisions not to list. We considered 2 features of preemptive conservation: effort applied (measured as the number of conservation initiatives) and number of conservation partners involved. We also quantified the type and location of conservation actions. We found a mean of 4.3 initiatives (range 1–22) and 8.2 partners (range 1–31) documented per precluded species; both measures of conservation effort were significantly and positively associated with the species' range area and the proportion of private land across its range. The number of initiatives was also positively related to the number of threats affecting a species. Locations of conservation actions varied; more species had actions on public land than on private land (p = 0.003). Numbers of species with restorative actions (e.g., invasive species control) were similar to numbers with prohibitive actions. Our findings highlight relationships between species' context and preemptive conservation activities, providing a first cross-species analysis of conservation efforts for species that were precluded from listing under the ESA due to conservation.
Factors Associated with Preemptive Conservation under the U.S. Endangered Species Act
Conservation Biology, 2023
In recent decades, there has been an increasing emphasis on proactive efforts to conserve species being considered for listing under the U.S. Endangered Species Act (ESA) before they are listed (i.e., preemptive conservation). These efforts, which depend on voluntary actions by public and private land managers across the species' range, aim to conserve species while avoiding regulatory costs associated with ESA listing. We collected data for a set of social, economic, environmental, and institutional factors that we hypothesized would influence voluntary decisions to promote or inhibit preemptive conservation of species under consideration for ESA listing. We used logistic regression to estimate the association of these factors with preemptive conservation outcomes based on data for a set of species that entered the ESA listing process and were either officially listed (n = 314) or preemptively conserved (n = 73) from 1996 to 2018. Factors significantly associated with precluded listing due to preemptive conservation included high baseline conservation status, low proportion of private land across the species' range, small total range size, exposure to specific types of threats, and species' range extending over several states. These results highlight strategies that can help improve conservation outcomes, such as allocating resources for imperiled species earlier in the listing process, addressing specific threats, and expanding incentives and coordination mechanisms for conservation on private lands.
Not by Fishing Alone: Non-fishing Employment and Income for US West Coast Fishers
Ocean & Coastal Management, 2023
Income diversification is an important aspect of financial security among individual fishers, who generally face high annual fluctuations in their income levels. While prior studies have analyzed the importance of diversifying within-fisheries income streams (e.g., across species groups, or region), the role of income from non-fishing occupations as an additional source of diversification has received little empirical attention. We link fisheries landing data to survey responses among 1,230 individual fishers living in the Continental US West Coast to analyze trends and correlates of individual fishers choosing to earn non-fishing income. We find that predictors capturing the opportunity cost of not fishing, pecuniary factors, and within-fishery diversity metrics significantly influence the probability that fishers earn non-fishing income. Our results indicate an overall tradeoff between within-fishery with non-fishery income diversification choices; but that this tradeoff may be weaker for particular non-fishing occupation types and at particular times of the year.
Private Land Conservation Decision-making: An Integrative Social Science Model
Journal of Environmental Management, 2022
Owners and managers of private lands make decisions that have implications well beyond the boundaries of their land, influencing species conservation, water quality, wildfire risk, and other environmental outcomes with important societal and ecological consequences. Understanding how these decisions are made is key for informing interventions to support better outcomes. However, explanations of the drivers of decision making are often siloed in social science disciplines that differ in focus, theory, methodology, and terminology, hindering holistic understanding. To address these challenges, we propose a conceptual model of private land conservation decision-making that integrates theoretical perspectives from three dominant disciplines: economics, sociology, and psychology. The model highlights how heterogeneity in behavior across decision-makers is driven by interactions between the decision context, attributes of potential conservation behaviors, and attributes of the decision-maker. These differences in both individual attributes and context shape decision-makers' constraints and the potential and perceived consequences of a behavior. The model also captures how perceived consequences are evaluated and weighted through a decision-making process that may range from systematic to heuristic, ultimately resulting in selection of a behavior. Outcomes of private land behaviors across the landscape feed back to alter the socio-environmental conditions that shape future decisions. The conceptual model is designed to facilitate better communication, collaboration, and integration across disciplines and points to methodological innovations that can expand understanding of private land decision-making. The model also can be used to illuminate how behavior change interventions (e.g., policies, regulations, technical assistance) could be designed to target different drivers to encourage environmentally and socially beneficial behaviors on private lands.
Public Contributions to Early Detection of New Invasive Pests
Conservation Science & Practice, 2021
Early detection of new invasive pest incursions enables faster management responses and more successful outcomes. Formal surveillance programs—such as agency-led pest detection surveys—are thus key components of domestic biosecurity programs for managing invasive species. Independent sources of pest detection, such as members of the public and farm operators, also contribute to early detection efforts, but their roles are less understood. To assess the relative contributions of different detection sources, we compiled a novel dataset comprising reported detections of new plant pests in the US from 2010 through 2018 and analyze when, where, how, and by whom pests were first detected. While accounting for uncertainties arising from data limitations, we find that agency-led activities detected 32–56% of new pests, independent sources detected 27–60%, and research/extension detected 8–17%. We highlight the value of independent sources in detecting high impact pests, diverse pest types, and narrowly distributed pests—with contributions comparable with agency-led surveys. However, in the US, independent sources detect a smaller proportion of new pests than in New Zealand. We suggest opportunities to further leverage independent pest detection sources, including by citizen science, landscaping contractors, and members of the public.
Benchmark for the ESA: Having a Backbone is Good for Recovery
Frontiers in Conservation Science, 2021
To forestall the current rate of global extinction, we need to identify strategies that successfully recover species. In the last decade, the recovery record for the United States Endangered Species Act (ESA) has improved. Our aim was to review federal delisting documents for recovered species and quantify patterns in taxonomy, history of threats, policy, funding and actions that are associated with species recovery. In comparison to species still listed, the average recovered species was a vertebrate, had been listed longer under the ESA, was exposed to a lower number of threats at the time of listing, and received relatively higher levels of funding. Based on our review, we suggest the following strategies to improve species recovery: provide more time for ESA protection, allocate more funding for recovery, maintain environmental regulations that facilitate recovery, establish more private landowner agreements, and increase the area of protected lands.
Foraging Strategy Mediates Ectotherm Predator–Prey Responses to Climate Warming
Ecology, 2020
Climate warming and species traits interact to influence predator performance, including individual feeding and growth rates. However, the effects of an important trait—predator foraging strategy—are largely unknown. We investigated the interactions between predator foraging strategy and temperature on two ectotherm predators: an active predator, the backswimmer Notonecta undulata, and a sit-and-wait predator, the damselfly Enallagma annexum. In a series of predator–prey experiments across a temperature gradient, we measured predator feeding rates on an active prey species, zooplankton Daphnia pulex, predator growth rates, and mechanisms that influence predator feeding: body speed of predators and prey (here measured as swimming speed), prey encounter rates, capture success, attack rates, and handling time. Overall, warming led to increased feeding rates for both predators through changes to each component of the predator's functional response. We found that prey swimming speed strongly increased with temperature. The active predator's swimming speed also increased with temperature, and together, the increase in predator and prey swimming speed resulted in twofold higher prey encounter rates for the active predator at warmer temperatures. By contrast, prey encounter rates of the sit-and-wait predator increased fourfold with rising temperatures as a result of increased prey swimming speed. Concurrently, increased prey swimming speed was associated with a decline in the active predator's capture success at high temperatures, whereas the sit-and-wait predator's capture success slightly increased with temperature. We provide some of the first evidence that foraging traits mediate the indirect effects of warming on predator performance. Understanding how traits influence species' responses to warming could clarify how climate change will affect entire functional groups of species.
Temporal Analysis of Threats Causing Species Endangerment in the United States
Conservation Science & Practice, 2019
Understanding temporal variation of threats that cause species endangerment is a key to understand conservation strategies needed to improve species recovery. We assessed temporal variation in the threats to species listed under the United States Endangered Species Act (ESA) as identified by the United States Fish and Wildlife Service (USFWS) and National Marine Fisheries Service (NMFS). Based on initial review of ESA listing decisions and literature, we identified six overarching threat categories: habitat modification, overutilization, pollution, species–species interaction, demographic stochasticity, and environmental stochasticity. We screened listing decision documents to determine threat occurrence (i.e., presence/absence of a given threat in a listing decision) for each threat category for all species listed between 1975 and 2017. We evaluated how the number of threats and specific threat occurrences changed over the past four decades. We found that the number of threats per listing decision increased more than twofold from an average of 1.5 (95% CI: 1.3–1.7) threats in 1975 to 3.7 (95% CI: 3.4–4.0) threats in 2017. Threat occurrence increased for habitat modification, environmental stochasticity and species–species interaction, while it decreased for overutilization since 1975 and for demographic stochasticity and pollution since the mid 2000s. The documented increase in number of threats at time of listing may be due to a growing human population exerting increased pressure on species persistence, improved scientific advancement in understanding factors influencing species endangerment, or prolonged time taken for more recent species to be listed under the ESA. We believe that key federal and state governmental regulations have resulted in a documented decrease in overutilization, demographic stochasticity, and pollution, and we recommend large-scale strategies combined with local planning efforts to address the growing threats of habitat loss, environmental stochasticity, and species–species interaction.
Applies economic principles to the allocation of environmental goods and services, external environmental effects, and environmental public goods; decision-making under uncertainty, adaptation to and mitigation of environmental change.
Equips students with sufficient knowledge of statistical theory and methods of applied data analysis to begin conducting empirical analyses in their domains of interest; bring students to a high level of competency in using a cutting-edge statistical software package (R) for data management and data analysis tasks; expose students to applications of statistical methods in the economics/policy/social science sustainability literatures in order to develop an understanding for how statistical tools are operationalized in the research world; and develop an appreciation for the careful synthesis of social and natural science theory, knowledge of data and its limitations and command of statistical tools that constitute quality empirical research.