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The data and model outputs focus on examining fish biological data around Guam and American Samoa, with outputs such as fish biomass, fish size, and fish spawning potential ratio (SPR). The priority fish species that were examined for Guam include: Chlorurus microrhinos, Chlorurus spilurus, and Naso lituratus, whereas the priority fish species that were examined for American Samoa include: Acanthurus lineatus, Naso lituratus, and Scarus rubroviolaceus. Data collection range varies 2000-20250929.</gco:CharacterString>
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Units: kg/3-min, 7m Radius Stationary Point Count;
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Sampling Instrument: swimmer/diver;
Sampling and Analyzing Method: GUAM MICRONESIA CHALLENGE (MC) RIDGE-TO-REEF SURVEYS: Coral, benthic, and fish assemblage data were collected on reefs adjacent to 26 southern Guam watersheds during a 2020 to 2022 ridge-to-reef study. The goals were to investigate potential linkages between watersheds, fishing access, and the condition of ecological assemblages as measured from several key metrics of the coral, benthic, and fish assemblages (Houk et al. 2022). Survey locations were similarly located at the southern edge of each channel associated with watershed discharge. Five, 50 m transects were laid along the 8–10 m reef slope contour and field protocols followed previous studies designed to address statistical power needs for site-level resolution. Food-fish assemblages were estimated from 12 stationary-point counts (SPC) conducted at ~20 m intervals along the transect lines. During each SPC, the trained observer recorded the species name and the size of all food-fish within a 5-6 m radius for a period of 3 minutes. Food-fish were defined as acanthurids, scarine labrids, serranids, siganids, carangids, labrids, lethrinids, lutjanids, balistids, kyphosids, mullids, holocentrids, and sharks. Fish fork lengths were converted to biomass using coefficients from regional fishery-dependent data when available, or from FishBase when not available (www.fishbase.org).
Fish biomass point data for multiple species/groups (MC, SV, AS) Mean fish biomass site-based summaries were generated for each of the three target fish species for American Samoa (Tutuila) and Guam. To satisfy the assumption of normality, raw fish biomass values were log-transformed by computing log(value + 1). This transformation was applied in the attribute table using a calculated field (data type: Double, 6 decimal places).
SEE: Final Report "Develop a Spatial Management Evaluation Tool for American Samoa and Guam Fish-BANC (Fish-Based Area Necessary Credit)," ProTech 2.0 Oceans Domain, Contract #1305M424D0026, Task Order #1305M324F0317. Final Report prepared by @Orchard, LLC for NOAA NMFS PIRO.</gco:CharacterString>
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Fish biomass point data for multiple species/groups (MC, SV, AS) Mean fish biomass site-based summaries were generated for each of the three target fish species for American Samoa (Tutuila) and Guam. To satisfy the assumption of normality, raw fish biomass values were log-transformed by computing log(value + 1). This transformation was applied in the attribute table using a calculated field (data type: Double, 6 decimal places).
SEE: Final Report "Develop a Spatial Management Evaluation Tool for American Samoa and Guam Fish-BANC (Fish-Based Area Necessary Credit)," ProTech 2.0 Oceans Domain, Contract #1305M424D0026, Task Order #1305M324F0317. Final Report prepared by @Orchard, LLC for NOAA NMFS PIRO.</gco:CharacterString>
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Units: kg/3-min, 5-7m Radius Stationary Point;
Observation Category: in situ;
Sampling Instrument: swimmer/diver;
Sampling and Analyzing Method: AMERICAN SAMOA CORAL REEF ECOSYSTEM MONITORING PROGRAM (ASCREMP): From the Coral Reef Advisory Group (CRAG) ASCREMP, we obtained annual, long-term fish and benthic habitat datasets (spanning 2006-2024) for 12 sites around Tutuila. We also obtained an extensive dataset, collected as part of the US Environmental Protection Agency (EPA)-funded Ridge-to-Reef integrated watershed management collaborative project between AS-EPA and the CRAG’s ASCREMP (spanning 2016-2020), for 28 sites around Tutuila (Comeros-Raynal 2019). For both datasets, underwater visual census of fish were conducted using the Stationary Point Count (SPC) method at ~20-m intervals along the benthic survey transect lines. During each SPC survey, a trained diver recorded the name and size (to the nearest cm) of all food fish within a 5-7 m radius for a period of 3 minutes. Food-fish were defined as acanthurids, scarine labrids, serranids, siganids, carangids, labrids, lethrinids, lutjanids, balistids, kyphosids, mullids, holocentrids,and sharks. A total of 12 replicate SPC surveys were conducted at each site starting at the 0-m mark and extending 20 m past the last transect line. Fish fork length estimates were converted to biomass using standard fish length-to-weight coefficients derived from regional fishery-dependent data when available or from Fishbase (www.fishbase.org).
Fish biomass point data for multiple species/groups (MC, SV, AS) Mean fish biomass site-based summaries were generated for each of the three target fish species for American Samoa (Tutuila) and Guam. To satisfy the assumption of normality, raw fish biomass values were log-transformed by computing log(value + 1). This transformation was applied in the attribute table using a calculated field (data type: Double, 6 decimal places).
SEE: Final Report "Develop a Spatial Management Evaluation Tool for American Samoa and Guam Fish-BANC (Fish-Based Area Necessary Credit)," ProTech 2.0 Oceans Domain, Contract #1305M424D0026, Task Order #1305M324F0317. Final Report prepared by @Orchard, LLC for NOAA NMFS PIRO.</gco:CharacterString>
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Units: cm;
Observation Category: model output;
Sampling Instrument: GIS;
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Mean fish size site-based summaries were generated for each of the three priority fish species for American Samoa (Tutuila) and Guam. Mean sizes across each survey year for each site and for each species were calculated. Combining datasets is appropriate because size is less dependent on survey protocol, compared to biomass which can be more biased by survey protocol.
SEE: Final Report "Develop a Spatial Management Evaluation Tool for American Samoa and Guam Fish-BANC (Fish-Based Area Necessary Credit)," ProTech 2.0 Oceans Domain, Contract #1305M424D0026, Task Order #1305M324F0317. Final Report prepared by @Orchard, LLC for NOAA NMFS PIRO.</gco:CharacterString>
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Sampling Instrument: GIS;
Sampling and Analyzing Method: SPAWNING POTENTIAL RATIO (SPR): To estimate variation in spawning potential ratio across space, we estimated fish size distributions from mean length values based on rasters of kriged mean length. We simulated post-recruitment size structures using a log-normal distribution following Heather et al. (2025), a common approximation for fish body lengths that ensures all values are positive and reflects the right-skewed nature of natural size distributions. For each mean size value, a log-normal distribution was parameterized using standard formulas relating the arithmetic mean and coefficient of variation (CV) to the distribution’s log-scale parameters. Specifically, for a given mean size L and CV, we first calculated the standard deviation as σ=L×CV, then used a transformation to obtain the log-normal parameters. Using these parameters, we generated synthetic size distributions by drawing 1,000 random samples per mean size from the log-normal distribution. This approach allowed us to reconstruct representative population size structures for a range of mean lengths without requiring full raw size-frequency data.
In this study, we fixed the coefficient of variation (CV) of fish size distributions at 0.2 to generate log-normal size structures from mean length values. While Heather et al. (2025) report a median CV of approximately 0.34 across over 3,000 reef fish populations, with most values ranging from 0.23 to 0.52, a CV of 0.2 produces a narrower, more conservative spread around the mean without excessive influence from the tails of the distribution. This is particularly useful to avoid representation of unrealistically large individuals, which can otherwise bias estimates of reproductive output and other derived metrics. A fixed CV of 0.2 aligns with common assumptions in size-based population models such as LBSPR and Beverton–Holt frameworks, providing a practical and standardize
SEE: Final Report "Develop a Spatial Management Evaluation Tool for American Samoa and Guam Fish-BANC (Fish-Based Area Necessary Credit)," ProTech 2.0 Oceans Domain, Contract #1305M424D0026, Task Order #1305M324F0317. Final Report prepared by @Orchard, LLC for NOAA NMFS PIRO.</gco:CharacterString>
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