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This study explores the integration of culturally responsive mathematical modeling (CRMM) in primary grades to promote racial justice and critical consciousness. The research focuses on how CRMM can support problem-based learning (PBL) by engaging students in analyzing real-world issues through mathematics. CRMM leverages students' cultural knowledge, identities, and experiences to critically examine and address social justice issues, such as racial representation in classroom libraries. The study utilizes a case study approach to investigate the supports and challenges faced by two primary grade teachers in designing and implementing a CRMM task, the Library Diversity Project. This project aimed to evaluate and improve the fairness of classroom library collections by analyzing the representation of different racial and cultural groups in children's books. The research highlights the importance of collegial support, critical reflection, and the use of specific pedagogical tools, such as decision matrices and graphical representations, in facilitating CRMM. Key findings indicate that CRMM tasks can cultivate critical awareness and empathy among students, enabling them to take action to address inequities. The study also unveils the complexity of implementing CRMM, particularly in navigating political, contextual, and mathematical challenges. Teachers' critical reflexivity and collaboration were essential in addressing these challenges and fostering a learning environment that allowed students to use mathematics to analyze an issue and take action. The research contributes to the literature on equity-focused mathematics education by providing empirical evidence of the potential of CRMM to promote social justice in the primary grades. It emphasizes the need for ongoing professional development and support for teachers to effectively integrate CRMM into their practice. The study concludes with recommendations for future research and practice in culturally responsive mathematics teaching. 

Blue food systems are crucial for meeting global social and environmental goals. Both small-scale marine fisheries (SSFs) and aquaculture contribute to these goals, with SSFs supporting hundreds of millions of people and aquaculture currently expanding in the marine environment. Here we examine the interactions between SSFs and aquaculture, and the possible combined benefits and trade-offs of these interactions, along three pathways: (1) resource access and rights allocation; (2) markets and supply chains; and (3) exposure to and management of risks. Analysis of 46 diverse case studies showcase positive and negative interaction outcomes, often through competition for space or in the marketplace, which are context-dependent and determined by multiple factors, as further corroborated by qualitative modeling. Results of our mixed methods approach underscore the need to anticipate and manage interactions between SSFs and aquaculture deliberately to avoid negative socio-economic and environmental outcomes, promote synergies to enhance food production and other benefits, and ensure equitable benefit distribution. 

Abstract Global biodiversity and ecosystem service models typically operate independently. Ecosystem service projections may therefore be overly optimistic because they do not always account for the role of biodiversity in maintaining ecological functions. We review models used in recent global model intercomparison projects and develop a novel model integration framework to more fully account for the role of biodiversity in ecosystem function, a key gap for linking biodiversity changes to ecosystem services. We propose two integration pathways. The first uses empirical data on biodiversity–ecosystem function relationships to bridge biodiversity and ecosystem function models and could currently be implemented globally for systems and taxa with sufficient data. We also propose a trait-based approach involving greater incorporation of biodiversity into ecosystem function models. Pursuing both approaches will provide greater insight into biodiversity and ecosystem services projections. Integrating biodiversity, ecosystem function, and ecosystem service modeling will enhance policy development to meet global sustainability goals. 

Abstract The dynamics of marine systems at decadal scales are notoriously hard to predict—hence references to this timescale as the “grey zone” for ocean prediction. Nevertheless, decadal-scale prediction is a rapidly developing field with an increasing number of applications to help guide ocean stewardship and sustainable use of marine environments. Such predictions can provide industry and managers with information more suited to support planning and management over strategic timeframes, as compared to seasonal forecasts or long-term (century-scale) predictions. The most significant advances in capability for decadal-scale prediction over recent years have been for ocean physics and biogeochemistry, with some notable advances in ecological prediction skill. In this paper, we argue that the process of “lighting the grey zone” by providing improved predictions at decadal scales should also focus on including human dimensions in prediction systems to better meet the needs and priorities of end users. Our paper reviews information needs for decision-making at decadal scales and assesses current capabilities for meeting these needs. We identify key gaps in current capabilities, including the particular challenge of integrating human elements into decadal prediction systems. We then suggest approaches for overcoming these challenges and gaps, highlighting the important role of co-production of tools and scenarios, to build trust and ensure uptake with end users of decadal prediction systems. We also highlight opportunities for combining narratives and quantitative predictions to better incorporate the human dimension in future efforts to light the grey zone of decadal-scale prediction.