Identifying coral reef resilience potential in Tutuila, American Samoa based on NOAA coral reef monitoring data from 2010 to 2016 (NCEI Accession 0169632)
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title: Identifying coral reef resilience potential in Tutuila, American Samoa based on NOAA coral reef monitoring data from 2010 to 2016 (NCEI Accession 0169632)
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abstract: Declines in the health of coral reef ecosystems lead scientists to search for factors that support reef resilience: the ability of reefs to resist environmental stress and recover when they have been impacted, and to maintain key ecosystem functions throughout. Scientists have identified eleven measurable factors that affect the resilience of coral reefs. Reef resilience factors include characteristics of the coral assemblage, populations of fish that live on the reef, land-based influences, and sea surface temperature variability. NOAA Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Sciences Division (ESD) used these factors to quantitatively assess the resilience potential of reefs around Tutuila and Aunu‘u Islands in American Samoa. Locations of monitoring surveys conducted by ESD from 2010 to 2016 were used to designate study zones. The monitoring surveys provided data to evaluate biological/ecological resilience factors, and external data sources were used to inform physical and environmental factors not directly measured by ESD. Data for each metric was compiled, normalized, and averaged to produce a composite resilience score for each of zone. The primary resilience analysis includes all 11 metrics for 10 study zones around Tutuila and Aunu'u, excluding Taema Bank. The secondary resilience analysis includes the 8 metrics available for 11 study zones around Tutuila and Aunu'u, including Taema Bank. The information provided with this analysis includes the individual datasets for the 11 metrics used in the analysis (data tables), the survey sites and study zones (data tables), and the resilience scores resulting from the analysis (data tables and maps).
purpose: Structural, ecological, and physical processes including, diversity, recruitment, herbivory, disease, and thermal tolerance have been identified as key elements contributing to reef resilience. This analysis, funded by the NOAA Coral Reef Conservation Program, integrates interdisciplinary data sets collected by NOAA Ecosystem Sciences Division and its partners to operationalize reef resilience in the U.S.-affiliated Pacific Islands. It is important to identify and understand these factors, so that management strategies can be tailored to maintaining or restoring coral communities to maximize their chances of survival in a changing climate. This analysis contributes to the local jurisdiction's capacity to meaningfully assess reef ecosystem condition in relation to a range of threats. A key aspect of the reef resilience framework is that it can empower local action to improve resilience of coral reefs because some drivers of resilience are heavily influenced by large-scale climatic forces, while others can be directly affected by local management.
credit: Related Funding Agency: NOAA Coral Reef Conservation Program
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supplementalInformation: Submission Package ID: G4T05E In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number.
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description: NCEI Accession 0169632 was revised and v2.2 was published.
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DateTime: 2020-12-18T04:09:37Z
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description: Parameter or Variable: Resilience score (calculated); Units: Numeric rank; Observation Category: other; Sampling Instrument: Software; Sampling and Analyzing Method: The principal analytical task of this project was to calculate eleven metrics of "reef resilience" as identified by McClanahan et al. (2012). These metrics account for various aspects of the coral reef ecosystem, and are derived from several data streams compiled and analyzed by ESD researchers using MS Excel and Access, Minitab, PRIMER version 6 with the Permanova+ add-on, and ArcMap. Data for each factor was compiled, normalized, and averaged to produce a composite resilience score for each study area identified..
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