Adaptive Groundwater Governance and the Challenges of Policy Implementation in Idaho’s Eastern Snake Plain Aquifer Region

Globally, groundwater overdraft poses significant challenges to agricultural production. As a result, it is likely that new water management policies and governance arrangements will be needed to stop groundwater depletion and maintain agricultural viability. Drawing on interviews with state and non-state water managers and other water actors, this paper provides a study of a recent resource management agreement between surface water and groundwater irrigators in the Eastern Snake Plain Aquifer region of Idaho. Using adaptive governance as our descriptive framework, we examine how groundwater governance arrangements emerge and are applied to mitigate the impacts of groundwater overdraft. Our findings suggest that adaptive governance, while not a stated goal of the agreement, may enable flexible and sustainable social and ecological outcomes. Our findings also indicate that this new governance arrangement creates a vacuum in enforcement authority that may prove challenging as the management agreement is implemented. These findings extend our understanding of the conditions necessary for effective adaptive governance of groundwater resources, and highlight the challenge of creating capacity for local resource managers as governance shifts from more bureaucratic to adaptive and decentralised arrangements

Transboundary cultural resources: Sacred wildlife, Indigenous emotions, and conservation decision-making

For many Indigenous communities in North America, the grizzly bear is a symbol associated with tribal medicine, spirituality, history, and knowledge. Despite its cultural importance to Indigenous communities and also federal trust responsibilities, Indigenous Peoples are rarely consulted in conservation decision-making concerning grizzly bears, and the emotional outcomes of these decisions are poorly understood. In 2017 grizzly bears were removed from protection under the Endangered Species Act in the Greater Yellowstone Ecosystem. Drawing from emotional political ecology and emotional geography, we use the concepts of cultural resources and 'networked space' to investigates how conservation decisions about transboundary cultural resources affect the emotions of Indigenous Peoples inside and outside of policy-targeted areas such as Yellowstone. The bears are non-subsistence resources that also carry cultural meanings for people who live beyond their current range. We find that conservation decisions affecting transboundary cultural resources transcend time and space and can have strong emotional consequences for our research participants who live outside of the policy-targeted area. In connection with the psychological dimension of emotional political ecologies, we also find that our participant's emotional responses to the delisting were animated by the historical traumas imposed by living in a colonial state

An Inventory and Assessment of Sample Sources for Survey Research with Agricultural Producers in the U.S.

Researchers need probability samples to collect representative survey data about the behaviors and attitudes of agricultural producers they study in relation to the natural resources that they manage, yet obtaining accurate and complete sampling frames is challenging. We extract data from a publication database to identify the most commonly used sampling frame sources in survey research of agricultural producers in the U.S., finding that government program participant lists are used most often, while private vendor samples are increasingly being purchased. Based on our research experience, we find that for many projects, private vendors can provide the most rigorous samples. Given that survey methods remain a useful and popular method for studying the behaviors and attitudes of producers on a variety of topics, such an assessment and guide is needed for researchers and practitioners

Using Bayes to get the most out of non-significant results

No scientific conclusion follows automatically from a statistically non-significant result, yet people routinely use non-significant results to guide conclusions about the status of theories (or the effectiveness of practices). To know whether a non-significant result counts against a theory, or if it just indicates data insensitivity, researchers must use one of: power, intervals (such as confidence or credibility intervals), or else an indicator of the relative evidence for one theory over another, such as a Bayes factor. I argue Bayes factors allow theory to be linked to data in a way that overcomes the weaknesses of the other approaches. Specifically, Bayes factors use the data themselves to determine their sensitivity in distinguishing theories (unlike power), and they make use of those aspects of a theory’s predictions that are often easiest to specify (unlike power and intervals, which require specifying the minimal interesting value in order to address theory). Bayes factors provide a coherent approach to determining whether non-significant results support a null hypothesis over a theory, or whether the data are just insensitive. They allow accepting and rejecting the null hypothesis to be put on an equal footing. Concrete examples are provided to indicate the range of application of a simple online Bayes calculator, which reveal both the strengths and weaknesses of Bayes factors

A Conceptual Framework for Social, Behavioral, and Environmental Change through Stakeholder Engagement in Water Resource Management

Incorporating stakeholder engagement into environmental management may help in the pursuit of novel approaches for addressing complex water resource problems. However, evidence about how and under what circumstances stakeholder engagement enables desirable changes remains elusive. In this paper, we develop a conceptual framework for studying social and environmental changes possible through stakeholder engagement in water resource management, from inception to outcomes. We synthesize concepts from multiple literatures to provide a framework for tracing linkages from contextual conditions, through engagement process design features, to social learning, community capacity building, and behavioral change at individual, group, and group network levels, and ultimately to environmental change. We discuss opportunities to enhance the framework including through empirical applications to delineate scalar and temporal dimensions of social, behavioral, and environmental changes resulting from stakeholder engagement, and the potential for negative outcomes thus far glossed over in research on change through engagement

Evolution and plasticity of anuran larval development in response to desiccation. A comparative analysis

Anurans breed in a variety of aquatic habitats with contrasting levels of desiccation risk, which may result in selection for faster development during larval stages. Previous studies suggest that species in ephemeral ponds reduce their developmental times to minimize desiccation risks, although it is not clear how variation in desiccation risk affects developmental strategies in different species. Employing a comparative phylogenetic approach including data from published and unpublished studies encompassing 62 observations across 30 species, we tested if species breeding in ephemeral ponds (High risk) develop faster than those from permanent ponds (Low risk) and/or show increased developmental plasticity in response to drying conditions. Our analyses support shorter developmental times in High risk, primarily by decreasing body mass at metamorphosis. Plasticity in developmental times was small and did not differ between groups. However, accelerated development in High risk species generally resulted in reduced sizes at metamorphosis, while some Low risk species were able compensate this effect by increasing mean growth rates. Taken together, our results suggest that plastic responses in species breeding in ephemeral ponds are constrained by a general trade-off between development and growth rates

Intertemporal similarity: Discounting as a last resort

Standard models of intertemporal choice assume that individuals discount future payoffs by integrating reward amounts and time delays to generate a discounted value. Alternative models propose that, rather than integrate across them, individuals compare within attributes (amounts and delays) to determine if differences in one attribute outweigh differences in another attribute. For instance, Leland (2002) and Rubinstein (2003) propose models that 1) compare the two reward amounts to determine whether they are similar, 2) compare the similarity of the two time delays, and then 3) make a decision based on these similarity judgments. Here, I tested discounting models against attribute-based models that use similarity judgments to make choices. I collected intertemporal choices and similarity judgments for the reward amounts and time delays from participants in three experiments. All experiments tested the ability of discounting and similarity models to predict intertemporal choices. Model generalization analyses showed that the best predicting models started with similarity judgments and then, if similarity failed to make a prediction, resorted to discounting models. Similarity judgments also matched intertemporal choice data demonstrating both the magnitude and sign effects, thereby accounting for behavioral data that contradict many discounting models. These results highlight the possibility that attribute-based models such as the similarity models provide alternatives to discounting that may offer insights into the process of making intertemporal choices