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There is a growing focus around the world on marine spatial planning, including spatial fisheries management. Some spatial management approaches are quite blunt, as when marine protected areas (MPAs) are established to restrict fishing in specific locations. Other management tools, such as zoning or spatial user rights, will affect the distribution of fishing effort in a more nuanced manner. Considerable research has focused on the ability of MPAs to increase fishery returns, but the potential for the broader class of spatial management approaches to outperform MPAs has received far less attention. We use bioeconomic models of seven nearshore fisheries in Southern California to explore the value of optimized spatial management in which the distribution of fishing is chosen to maximize profits. We show that fully optimized spatial management can substantially increase fishery profits relative to optimal nonspatial management but that the magnitude of this increase depends on characteristics of the fishing fleet and target species. Strategically placed MPAs can also increase profits substantially compared with nonspatial management, particularly if fishing costs are low, although profit increases available through optimal MPA-based management are roughly half those from fully optimized spatial management. However, if the same total area is protected by randomly placing MPAs, starkly contrasting results emerge: most random MPA designs reduce expected profits. The high value of spatial management estimated here supports continued interest in spatially explicit fisheries regulations but emphasizes that predicted increases in profits can only be achieved if the fishery is well understood and the regulations are strategically designed.
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http://dx.doi.org/10.1073/pnas.1116193109 | DOI Listing |
Environ Manage
September 2025
TEMSUS Research Group, Catholic University of Ávila, Ávila, Spain.
Forests have been increasingly affected by natural disturbances and human activities. These impacts have caused habitat fragmentation and a loss of ecological connectivity. This study examines potential restoration pathways that reconnect the five largest forest cores in the Castilla y León region of Spain.
View Article and Find Full Text PDFRisk Anal
September 2025
School of Public Policy and Administration, Chongqing University, Chongqing, China.
Climate change is causing a significant increase in the number of compound extreme events that pose significantly greater threats to public safety. Chongqing is a megacity in southwestern China that took the brunt of temporally compounding events (TCEs) in the summer of 2022. We developed an approach based on the Intergovernmental Panel on Climate Change (IPCC) risk framework to assess the public health risks posed by TCEs.
View Article and Find Full Text PDFAerosp Med Hum Perform
September 2025
Introduction: The rapidly expanding commercial spaceflight (CSF) market has fueled increasing interest in spaceflight experiences among individuals without professional astronaut qualifications. Such individuals may present with a range of medical conditions that add uncertainties to medical preparation and risk assessment for spaceflight. As the ear, nose, and throat (ENT) working group of the Aerospace Medical Association Ad Hoc Committee on Commercial Spaceflight, we conducted a scoping review to assess the available biomedical literature for ENT and neuro-vestibular conditions and physiology pertinent to spaceflight for nonprofessional space travelers.
View Article and Find Full Text PDFJ R Soc Interface
September 2025
Department of Mechanical Engineering, University College London, London, UK.
Hospital operating theatre suites are a particularly resource- and energy-intensive component of the health sector. Reducing their carbon footprint presents a significant challenge due to the necessity of maintaining patient safety. In this paper, we apply a multidisciplinary methodology to investigate and assess various strategies aimed at reducing the carbon footprint in hospital theatres.
View Article and Find Full Text PDFCell Syst
September 2025
Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Electronic address:
Spatial transcriptomics allows for the measurement of gene expression within the native tissue context. However, despite technological advancements, computational methods to link cell states with their microenvironment and compare these relationships across samples and conditions remain limited. To address this, we introduce Tissue Motif-Based Spatial Inference across Conditions (TissueMosaic), a self-supervised convolutional neural network designed to discover and represent tissue architectural motifs from multi-sample spatial transcriptomic datasets.
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