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Data and code from: Hindcast body temperature reveals sites of amplified thermal risk in global Coastlines

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DataONE2025-09-15 更新2025-09-20 收录
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Identifying regions where organisms are most (and least) vulnerable to climate change remains a key focus in ecological research. However, accurately capturing the thermal stress experienced by many, if not most, organisms is challenging because body temperature, which determines physiological performance, is driven by multiple environmental factors. We hindcasted hourly body temperatures of intertidal mussels globally using a modified heat budget model and assessed thermal risks (extreme temperatures and heatwaves) and hotspots based on body temperature. Results indicated that 98.34% of global coastal mussel populations faced at least one thermal risk factor. Most thermal risk metrics exhibited a patchy, mosaic distribution. Semi-enclosed topography and western boundary currents are thermal risk amplifiers, making organisms in these regions more vulnerable than those in other regions of the same latitude. Our research demonstrates the utility of hindcast body temperature in integrating..., , # Data and code from: Hindcast body temperature reveals sites of amplified thermal risk in global Coastlines Dataset DOI: [10.5061/dryad.r7sqv9sph](10.5061/dryad.r7sqv9sph) ## Description of the data and file structure # Dryad dataset Dataset DOI: [10.5061/dryad.r7sqv9sph](10.5061/dryad.r7sqv9sph) ## Description of the data and file structure Code and data used in this study, including model verfication, body temperature calculations, data analysis, and data. Code: Codes used in paper Code\model_verfication: Code for model validation. Code\temperature_calculation: Calculate body temperature Code\data analysis: data analysis Data: Data used in paper Data\exposure: Data related to tidal exposure probability Data\heatwave: Data related to heatwaves Data\rate: Data related to trends of body temperature using MK test Data\risk: Data related to thermal risk Data\sem: Data related to SEM Data\Tpercent: Data related to body temperature Data\trend: Data related to trends of som...,
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2025-09-16
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