These data encompass the nearshore fish surveys conducted by the Kachemak Bay Reserve as part of a 2020 catalyst project that expanded research collaborations and completed proof of concept activities to catalyze future research on the mechanisms of paralytic shellfish toxin transfer from forage fish to upper trophic populations.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
Displaying 21 - 30 of 119See Keywords and Reserves
A peer-reviewed article describing the potential link between water temperature variability and eelgrass loss in the Coos Estuary of southwest Oregon.
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A peer-reviewed article describing several of the biosensor tools and the design process used to build them, as part of the 2021 Collaborative Research project incorporating bivalve biosensors into estuary monitoring infrastructure.
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The 2020-2022 catalyst project Bridging the gap between quadrats and satellites: assessing utility of drone-based imagery to enhance emergent vegetation biomonitoring conducted a regionally coordinated effort, working in salt marshes an
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The 2020-2021 catalyst project Refining Techniques for High-Frequency Monitoring of Chlorophyll in the NERRS brought together twelve biogeochemically diverse reserves to compare results from new YSI in situ sensor technology with ex
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GUIDE CASE STUDY: During the second year of their project, a team based at the Wells Research Reserve suffered the tragic loss of the lead science investigator. This individual had served as the Reserve's research coordinator for many years and possessed a deep reservoir of scientific knowledge about the local ecosystems on which the project was focused. In addition to the intense emotional impact, the loss of a respected researcher and team member posed a significant challenge to the project.
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This 2022 paper which appeared in Nature discusses a modeling approach to examine the marsh ’s buffering capacity in a changing climate (from 2020 to 2100), considering a potential marsh restoration plan (from 2020 to 2025) and potential marsh loss due to sea-level rise.
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This 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.
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This factsheet, developed as part of a 2020 catalyst project, consolidates case studies of applied CES assessments.
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This 2021 article which appeared in Ecological Engineering explores the potential for large-scale breakwaters to preserve fringing marsh vegetation in high wave energy environments.