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A simulation framework for evaluating multiple fishery-independent survey strategies in the main Hawaiian Islands


Description:

Title:
A simulation framework for evaluating multiple fishery-independent survey strategies in the main Hawaiian Islands
Author(s):
Oliver, Thomas A.
Tanaka, Kisei R.
Pacific Islands Fisheries Science Center (U.S.)
Corporate Name:
Pacific Islands Fisheries Science Center (U.S.)
Dates of Publication:
2022
Abstract:
Selecting an effective and cost-efficient sampling strategy in scientific surveys is a major concern in the management of living marine resources. This is particularly true when the target populations are highly structured over space and time, and the allocation of survey effort and resources are subject to logistical limitations and uncertainties. We developed a simulation framework to evaluate sampling strategies within the data-limited main Hawaiian Island region based on 10 years of in situ ecological fishery-independent surveys. Specifically, we compare quantitative precision and bias of the spatiotemporal distribution of reef fish biomass estimates among functional levels using three contrasting stratified random survey designs; (1) geographically comprehensive (“traditional”), (2) ecologically homogeneous (“zone-based”), and (3) ecologically homogeneous but geographically reduced (“zone-triaged”) stratified designs.
Keywords:
Computer simulation
Evaluation
Fishery management
Management
Marine resources
Place Keywords:
Hawaii
Local Corporate Name:
NMFS (National Marine Fisheries Service)
PIFSC (Pacific Islands Fisheries Science Center)
CoRIS (Coral Reef Information System)
Type of Resource:
Technical Memorandum
Genre:
NOAA technical memorandum NMFS-PIFSC ; 134
Note:
Selecting an effective and cost-efficient sampling strategy in scientific surveys is a major concern in the management of living marine resources. This is particularly true when the target populations are highly structured over space and time, and the allocation of survey effort and resources are subject to logistical limitations and uncertainties. We developed a simulation framework to evaluate sampling strategies within the data-limited main Hawaiian Island region based on 10 years of in situ ecological fishery-independent surveys. Specifically, we compare quantitative precision and bias of the spatiotemporal distribution of reef fish biomass estimates among functional levels using three contrasting stratified random survey designs; (1) geographically comprehensive (“traditional”), (2) ecologically homogeneous (“zone-based”), and (3) ecologically homogeneous but geographically reduced (“zone-triaged”) stratified designs.
URL:
DOI:
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