The Delta is a critical area for sustainable water management, facing significant challenges due to climate change. One of these challenges is in understanding and mitigating maladaptation – climate-aligned actions that may increase vulnerabilities or reduce adaptive capacity. Given the uncertainties surrounding climate change, management actions that seek to achieve high-level goals of climate change adaptation while accounting for maladaptation must be robust, ensuring adequate, multicriteria performance across all climate futures. This work responds to two gaps: (1) the absence of tools for assessing the performance of management actions in the Delta under hydroclimatic uncertainty and (2) a lack of research that explores how stakeholders can account for maladaptation in water governance. Among Delta stakeholders and researchers alike, the discourse and science surrounding ecological flow guidelines, the social complexities of water governance, and the use of integrated climate models to inform robust and adaptive decisions is active and rapidly advancing. This positions the Delta not only as an ideal case study for the academic study of maladaptation, but also as one that is of immediate relevance to stakeholders, responding to several Delta Management Needs (Science Actions 3B, 6E, and 1A) as they concern open science and the exploration of the Delta as a socioecological system and the facilitation of decision-making under climate change and its associated uncertainties.
The proposed project is driven by the need to understand how land use has changed historically in California's Central Valley due to various drivers including environmental changes and socio-economic developments. Given the region's dependency on agriculture and its vulnerability to climate change—marked by shifts in precipitation patterns and water availability—it's crucial to model these dynamics accurately to forecast future conditions and plan effectively. Using Agent-Based Modeling (ABM) provides a sophisticated means to dissect past interactions between land use and environmental factors at a granular level. This historical understanding is pivotal as it sets the stage for projecting future scenarios. Additionally, the integration of future hydrology data generated from the CalSim3 model and socio-economic scenarios allows for a comprehensive analysis of potential future states. This analysis aims to explore strategic land use modifications that can meet future socio-economic goals under varying water availability scenarios.
This research supports several key science actions, making it highly relevant to current policy discussions. It provides actionable insights into large-scale experiments (Science Action 1C), assesses the impact of climate on ecosystems (Science Action 6A), and explores water allocation strategies (Science Action 6E), thereby equipping policymakers and stakeholders with the necessary tools for informed decision-making. These decisions are crucial for maintaining ecological flows and ensuring the longterm viability of both the agricultural sector and the natural ecosystems upon which they depend.
The Sacramento River and its tributaries serve as critical habitat for the green sturgeon, listed as federally threatened due to its declining population and the impacts of anthropogenic activities such as dam operations and water extraction. We currently lack an understanding of the relationship between flow regimes and sturgeon migration, which is essential for developing effective management strategies to support the species' conservation and for required analysis under state and federal law. By modeling this relationship, this project will contribute to more informed water management, leading to fewer litigation risks for agencies and better outcomes for sturgeon.
This project will model the effects of flow regimes on adult Southern Distinct Population Segment (sDPS) green sturgeon migration within the Sacramento River basin to enhance sturgeon conservation and water management. Specifically, the research will model how flows and temperature affect adult green sturgeon spawning migration. The model will be used to forecast sturgeon movements under various flow scenarios, and the model, the results, and an explanation of their significance will be widely distributed via a website (with a publicly accessible modeling app), a policy brief, a public workshop, and other outreach.
