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Strategic assessment of fisheries independent monitoring programs in the gulf of Mexico.

Suprenand PM, Drexler M, Jones DL, Ainsworth CH - PLoS ONE (2015)

Bottom Line: These indices are compared against values in Ecospace, and against previously published single-species stock assessments.We also evaluate the full suite of information derived from FIM within an ecosystem context, considering whether functional roles are over- or under-sampled, and whether sampling effort is proportional to the value of fish stocks.Results reveal that model derived fishery indices closely matched published indices for the majority of the functional groups, economic and ecological evaluation suggests that several piscivorous functional groups are under-sampled include forage base species that are likely to indirectly support fisheries for piscivores, and sampling efforts are not proportional to the value of some fish stocks.

View Article: PubMed Central - PubMed

Affiliation: University of South Florida-College of Marine Science, 140 7th Ave S, St. Petersburg, Florida, 33701, United States of America; Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, Florida, 34236, United States of America.

ABSTRACT
This study evaluates information produced from 14 fisheries independent monitoring programs (FIM) in the Gulf of Mexico. We consider the uniqueness of information from each program and its usefulness in estimating fisheries management indices. Biomass values of 35 functional groups are extracted from an operating model (Ecospace) with a method that replicates the patterns of historic FIM samplings. Observation error is added to these data in order to create a set of pseudo data that replicate the type and quality of information obtained from FIM programs. The pseudo data were put into a separate fishery assessment model (Pella-Tomlinson) to determine management indices of each functional group (maximum sustainable yield (MSY), biomass at MSY, and fishing mortality at MSY). These indices are compared against values in Ecospace, and against previously published single-species stock assessments. We also evaluate the full suite of information derived from FIM within an ecosystem context, considering whether functional roles are over- or under-sampled, and whether sampling effort is proportional to the value of fish stocks. Results reveal that model derived fishery indices closely matched published indices for the majority of the functional groups, economic and ecological evaluation suggests that several piscivorous functional groups are under-sampled include forage base species that are likely to indirectly support fisheries for piscivores, and sampling efforts are not proportional to the value of some fish stocks. Following ecological modelling we performed statistical analyses on historic FIM catch data to identify optimal species-specific sampling months and gear-types that can be used to refine future FIM sampling efforts.

No MeSH data available.


Related in: MedlinePlus

High resolution Ecospace map ranging from 24 to 31°N latitude and 80 to 98°W longitude, and a 4.4 km x 4.4 km resolution per map cell.Depths greater than 1000 m in the central GOM and Florida’s east coast are omitted from ecological analyses.
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pone.0120929.g001: High resolution Ecospace map ranging from 24 to 31°N latitude and 80 to 98°W longitude, and a 4.4 km x 4.4 km resolution per map cell.Depths greater than 1000 m in the central GOM and Florida’s east coast are omitted from ecological analyses.

Mentions: We developed a spatial operating model of the northern GOM based on Ecospace [33]. The model domain ranges from 24–31°N latitude to 80–98°W longitude, including the coastlines and estuaries from Texas to the Florida Keys, and depths from 0–1000 m (Fig 1). The model was based on an Ecopath with Ecosim (EwE) model [34], which considered 48 functional groups, including single species, aggregated groups of species, and age-structured species. Our amendments to the model include the addition of seven defined habitat types with functional group habitat preferences, the addition of specific Marine Protected Areas (MPAs) to restrict fishing effort spatially, and simulated input of annual chlorophyll a concentrations to influence basal trophic energetic exchanges.


Strategic assessment of fisheries independent monitoring programs in the gulf of Mexico.

Suprenand PM, Drexler M, Jones DL, Ainsworth CH - PLoS ONE (2015)

High resolution Ecospace map ranging from 24 to 31°N latitude and 80 to 98°W longitude, and a 4.4 km x 4.4 km resolution per map cell.Depths greater than 1000 m in the central GOM and Florida’s east coast are omitted from ecological analyses.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4383601&req=5

pone.0120929.g001: High resolution Ecospace map ranging from 24 to 31°N latitude and 80 to 98°W longitude, and a 4.4 km x 4.4 km resolution per map cell.Depths greater than 1000 m in the central GOM and Florida’s east coast are omitted from ecological analyses.
Mentions: We developed a spatial operating model of the northern GOM based on Ecospace [33]. The model domain ranges from 24–31°N latitude to 80–98°W longitude, including the coastlines and estuaries from Texas to the Florida Keys, and depths from 0–1000 m (Fig 1). The model was based on an Ecopath with Ecosim (EwE) model [34], which considered 48 functional groups, including single species, aggregated groups of species, and age-structured species. Our amendments to the model include the addition of seven defined habitat types with functional group habitat preferences, the addition of specific Marine Protected Areas (MPAs) to restrict fishing effort spatially, and simulated input of annual chlorophyll a concentrations to influence basal trophic energetic exchanges.

Bottom Line: These indices are compared against values in Ecospace, and against previously published single-species stock assessments.We also evaluate the full suite of information derived from FIM within an ecosystem context, considering whether functional roles are over- or under-sampled, and whether sampling effort is proportional to the value of fish stocks.Results reveal that model derived fishery indices closely matched published indices for the majority of the functional groups, economic and ecological evaluation suggests that several piscivorous functional groups are under-sampled include forage base species that are likely to indirectly support fisheries for piscivores, and sampling efforts are not proportional to the value of some fish stocks.

View Article: PubMed Central - PubMed

Affiliation: University of South Florida-College of Marine Science, 140 7th Ave S, St. Petersburg, Florida, 33701, United States of America; Mote Marine Laboratory, 1600 Ken Thompson Parkway, Sarasota, Florida, 34236, United States of America.

ABSTRACT
This study evaluates information produced from 14 fisheries independent monitoring programs (FIM) in the Gulf of Mexico. We consider the uniqueness of information from each program and its usefulness in estimating fisheries management indices. Biomass values of 35 functional groups are extracted from an operating model (Ecospace) with a method that replicates the patterns of historic FIM samplings. Observation error is added to these data in order to create a set of pseudo data that replicate the type and quality of information obtained from FIM programs. The pseudo data were put into a separate fishery assessment model (Pella-Tomlinson) to determine management indices of each functional group (maximum sustainable yield (MSY), biomass at MSY, and fishing mortality at MSY). These indices are compared against values in Ecospace, and against previously published single-species stock assessments. We also evaluate the full suite of information derived from FIM within an ecosystem context, considering whether functional roles are over- or under-sampled, and whether sampling effort is proportional to the value of fish stocks. Results reveal that model derived fishery indices closely matched published indices for the majority of the functional groups, economic and ecological evaluation suggests that several piscivorous functional groups are under-sampled include forage base species that are likely to indirectly support fisheries for piscivores, and sampling efforts are not proportional to the value of some fish stocks. Following ecological modelling we performed statistical analyses on historic FIM catch data to identify optimal species-specific sampling months and gear-types that can be used to refine future FIM sampling efforts.

No MeSH data available.


Related in: MedlinePlus