ORCID Profile
0000-0002-5449-7054
Current Organisations
University of California Santa Cruz
,
University of Washington
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Publisher: Center for Open Science
Date: 08-08-2023
Abstract: Producers and users contributing to erse scientific enterprises are often siloed. FISHGLOB is a sociotechnical infrastructure supporting collaboration and data sharing between experts in, and users of, fish bottom trawl surveys, a form of ocean monitoring.
Publisher: American Association for Cancer Research (AACR)
Date: 10-2020
DOI: 10.1158/2159-8290.CD-20-0941
Abstract: Evaluating the potential role of COVID-19 treatments in patients with cancer in a large observational study, there was no statistically significant 30-day all-cause mortality benefit with hydroxychloroquine or high-dose corticosteroids alone or in combination remdesivir showed potential benefit. Treatment receipt reflects clinical decision-making and suggests disparities in medication access. This article is highlighted in the In This Issue feature, p. 1426
Publisher: Wiley
Date: 2023
DOI: 10.1002/ECS2.4342
Abstract: Synthesis research in ecology and environmental science improves understanding, advances theory, identifies research priorities, and supports management strategies by linking data, ideas, and tools. Accelerating environmental challenges increases the need to focus synthesis science on the most pressing questions. To leverage input from the broader research community, we convened a virtual workshop with participants from many countries and disciplines to examine how and where synthesis can address key questions and themes in ecology and environmental science in the coming decade. Seven priority research topics emerged: (1) ersity, equity, inclusion, and justice (DEIJ), (2) human and natural systems, (3) actionable and use‐inspired science, (4) scale, (5) generality, (6) complexity and resilience, and (7) predictability. Additionally, two issues regarding the general practice of synthesis emerged: the need for increased participant ersity and inclusive research practices and increased and improved data flow, access, and skill‐building. These topics and practices provide a strategic vision for future synthesis in ecology and environmental science.
Publisher: Springer Science and Business Media LLC
Date: 30-08-2023
Publisher: Wiley
Date: 02-2019
Publisher: Wiley
Date: 17-08-2022
DOI: 10.1111/GCB.16371
Abstract: Projecting the future distributions of commercially and ecologically important species has become a critical approach for ecosystem managers to strategically anticipate change, but large uncertainties in projections limit climate adaptation planning. Although distribution projections are primarily used to understand the scope of potential change-rather than accurately predict specific outcomes-it is nonetheless essential to understand where and why projections can give implausible results and to identify which processes contribute to uncertainty. Here, we use a series of simulated species distributions, an ensemble of 252 species distribution models, and an ensemble of three regional ocean climate projections, to isolate the influences of uncertainty from earth system model spread and from ecological modeling. The simulations encompass marine species with different functional traits and ecological preferences to more broadly address resource manager and fishery stakeholder needs, and provide a simulated true state with which to evaluate projections. We present our results relative to the degree of environmental extrapolation from historical conditions, which helps facilitate interpretation by ecological modelers working in erse systems. We found uncertainty associated with species distribution models can exceed uncertainty generated from erging earth system models (up to 70% of total uncertainty by 2100), and that this result was consistent across species traits. Species distribution model uncertainty increased through time and was primarily related to the degree to which models extrapolated into novel environmental conditions but moderated by how well models captured the underlying dynamics driving species distributions. The predictive power of simulated species distribution models remained relatively high in the first 30 years of projections, in alignment with the time period in which stakeholders make strategic decisions based on climate information. By understanding sources of uncertainty, and how they change at different forecast horizons, we provide recommendations for projecting species distribution models under global climate change.
Publisher: Frontiers Media SA
Date: 27-12-2016
Publisher: Center for Open Science
Date: 11-01-2023
Abstract: Scientific bottom-trawl surveys are ecological observation programs conducted along continental shelves and slopes of seas and oceans that s le marine communities associated with the seafloor. These surveys report taxa occurrence, abundance and/or weight in space and time, and contribute to fisheries management as well as population and bio ersity research. Bottom-trawl surveys are conducted all over the world and represent a unique opportunity to understand ocean biogeography, macroecology, and global change. However, combining these data together for cross-ecosystem analyses remains challenging. Here, we present an integrated database of 26 publicly available bottom-trawl surveys conducted in national waters of 18 countries that are standardized and pre-processed, covering a total of 2,162 s led fish taxa and 232,800 hauls collected from 1963 to 2020. We describe the processing steps to create the database, flags, and standardization methods that we developed to assist users in conducting spatio-temporal analyses with stable regional survey footprints. The aim of this database is to support research, marine conservation, and management in the context of global change.
Location: United States of America
Location: United States of America
Location: United States of America
Location: United States of America
No related grants have been discovered for Alexa Fredston.