Annual Review of Environment and Resources - Volume 49, 2024

Covering two-thirds of the ocean and half of the planet's surface, the high seas are increasingly the focus of commercial activity and conservation ambitions. Contrary to narratives of a lawless frontier, they are governed by a dense network of sectoral institutions for shipping, fisheries, and other industries, although these collectively deal with conservation and sustainable use of biodiversity in a fragmented and uneven manner. These gaps were the subject of nearly 20 years of negotiation, resulting in the adoption of the Agreement on Conservation and Sustainable Use of Marine Biological Diversity of Areas Beyond National Jurisdiction in June 2023. The Agreement was designed to address access and benefit sharing associated with marine genetic resources; the establishment of area-based management tools such as marine protected areas, Environmental Impact Assessments, and capacity building; and the transfer of marine technology. Achieving coherence across public and private governance mechanisms will be a significant challenge as human activity increases on the high seas, but it is key to achieving ocean sustainability goals.

As a metric for economic progress, gross domestic product (GDP) has been criticized for hiding the destruction of natural capital and failing to improve happiness/human well-being. Consequently, many studies unanimously argued for a beyond GDP approach, which led to a proliferation of ensuing metrics. However, the proliferation leads to confusion as it complicates matters for policymakers looking to these metrics to inform coherent development objectives and plans. Our article aims to assess theoretical and empirical efforts to measure human progress based on these notions of well-being and sustainability and critically analyze the strengths and weaknesses of these approaches. We explore systematic trends in indicator activity in the related literature and, in doing so, organize our discussion around the distinct and prominent perspectives that can be identified. We illustrate with a case study on India how divergent matrices, though not beyond comprehension, increase the complexity.

Driven by the need for integrated management of groundwater (GW) and surface water (SW), quantification of GW–SW interactions and associated contaminant transport has become increasingly important. This is due to their substantial impact on water quantity and quality. In this review, we provide an overview of the methods developed over the past several decades to investigate GW–SW interactions. These methods include geophysical, hydrometric, and tracer techniques, as well as various modeling approaches. Different methods reveal valuable information on GW–SW interactions at different scales with their respective advantages and limitations. Interpreting data from these techniques can be challenging due to factors like scale effects, heterogeneous hydrogeological conditions, sediment variability, and complex spatiotemporal connections between GW and SW. To facilitate the selection of appropriate methods for specific sites, we discuss the strengths, weaknesses, and challenges of each technique, and we offer perspectives on knowledge gaps in the current science.

Using the socio-ecological model of social and behavior change communication, our review highlights current trends in understanding message design factors and media technologies promoting proenvironment and climate mitigative behaviors. We explain that much of this research has focused on the individual level, and relatively few studies have been conducted at the interpersonal and community levels. With respect to changing communication ecology, we note the potential for research on the use of social media platforms to influence positive behavior changes and, conversely, the challenges of misinformation and its impact on behavior shifts. This area requires further investigation as these communication platforms transform and become increasingly relevant. Additionally, we need to explicate the long-term shifts and impacts of behavior change interventions as well as track behaviors over time. Overall, our review underscores the continued need for research across different geographical, sociopolitical, and technological contexts.

Biodiversity metrics are increasingly in demand for informing government, business, and civil society decisions. However, it is not always clear to end users how these metrics differ or for what purpose they are best suited. We seek to answer these questions using a database of 573 biodiversity-related metrics, indicators, indices, and layers, which address aspects of genetic diversity, species, and ecosystems. We provide examples of indicators and their uses within the state–pressure–response–benefits framework that is widely used in conservation science. Considering complementarity across this framework, we recommend a small number of metrics considered most pertinent for use in decision-making by governments and businesses. We conclude by highlighting five future directions: increasing the importance of national metrics, ensuring wider uptake of business metrics, agreeing on a minimum set of metrics for government and business use, automating metric calculation through use of technology, and generating sustainable funding for metric production.