How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax)
Fisheries researchers have focused on the value of information (VOI) in fisheries management and trade-offs since scientists and managers realized that information from different resources has different contribution in the management process. We picked seven indicators, which are log-normal annual c...
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| Format: | Article |
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Frontiers Media S.A.
2021-04-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2021.646174/full |
| _version_ | 1818591351157030912 |
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| author | Meng Xia Tom Carruthers Richard Kindong Libin Dai Zhe Geng Xiaojie Dai Feng Wu |
| author_facet | Meng Xia Tom Carruthers Richard Kindong Libin Dai Zhe Geng Xiaojie Dai Feng Wu |
| author_sort | Meng Xia |
| collection | DOAJ |
| description | Fisheries researchers have focused on the value of information (VOI) in fisheries management and trade-offs since scientists and managers realized that information from different resources has different contribution in the management process. We picked seven indicators, which are log-normal annual catch observation error (Cobs), annual catch observation bias (Cbias), log-normal annual index observation error (Iobs), maximum length observation bias (Linfbias), observed natural mortality rate bias (Mbias), observed von Bertalanffy growth parameter K bias (Kbias), and catch-at-age sample size (CAA_nsamp), and built operating models (OMs) to simulate fisheries dynamics, and then applied management strategy evaluation (MSE). Relative yield is chosen as the result to evaluate the contribution of the seven indicators. Within the parameter range, there was not much information value reflected from fisheries-dependent parameters including Cobs, Cbias, and Iobs. On the other hand, for fisheries-independent parameters such as Kbias, Mbias, and Linfbias, similar tendency of the information value was showed in the results, in which the relative yield goes down from the upper bound to the lower bound of the interval. CAA_nsamp had no impact on the yield after over 134 individuals. The VOI analysis contributes to the trade-offs in the decision-making process. Information with more value is more worthy to collect in case of waste of time and money so that we could make the best use of scientific effort. But we still need to improve the simulation process such as enhancing the diversity and predictability in an OM. More parameters are on the way to be tested in order to collect optimum information for management and decision-making. |
| first_indexed | 2024-12-16T10:11:03Z |
| format | Article |
| id | doaj.art-017072ae5f47455abe4f87ef107714e6 |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-12-16T10:11:03Z |
| publishDate | 2021-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-017072ae5f47455abe4f87ef107714e62022-12-21T22:35:34ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452021-04-01810.3389/fmars.2021.646174646174How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax)Meng Xia0Tom Carruthers1Richard Kindong2Libin Dai3Zhe Geng4Xiaojie Dai5Feng Wu6College of Marine Sciences, Shanghai Ocean University, Shanghai, ChinaInstitute for the Oceans and Fisheries, The University of British Columbia, Vancouver, BC, CanadaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, ChinaFisheries researchers have focused on the value of information (VOI) in fisheries management and trade-offs since scientists and managers realized that information from different resources has different contribution in the management process. We picked seven indicators, which are log-normal annual catch observation error (Cobs), annual catch observation bias (Cbias), log-normal annual index observation error (Iobs), maximum length observation bias (Linfbias), observed natural mortality rate bias (Mbias), observed von Bertalanffy growth parameter K bias (Kbias), and catch-at-age sample size (CAA_nsamp), and built operating models (OMs) to simulate fisheries dynamics, and then applied management strategy evaluation (MSE). Relative yield is chosen as the result to evaluate the contribution of the seven indicators. Within the parameter range, there was not much information value reflected from fisheries-dependent parameters including Cobs, Cbias, and Iobs. On the other hand, for fisheries-independent parameters such as Kbias, Mbias, and Linfbias, similar tendency of the information value was showed in the results, in which the relative yield goes down from the upper bound to the lower bound of the interval. CAA_nsamp had no impact on the yield after over 134 individuals. The VOI analysis contributes to the trade-offs in the decision-making process. Information with more value is more worthy to collect in case of waste of time and money so that we could make the best use of scientific effort. But we still need to improve the simulation process such as enhancing the diversity and predictability in an OM. More parameters are on the way to be tested in order to collect optimum information for management and decision-making.https://www.frontiersin.org/articles/10.3389/fmars.2021.646174/fullvalue of informationfisheries managementsimulation teststriped marlinmanagement strategy evaluation |
| spellingShingle | Meng Xia Tom Carruthers Richard Kindong Libin Dai Zhe Geng Xiaojie Dai Feng Wu How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax) Frontiers in Marine Science value of information fisheries management simulation test striped marlin management strategy evaluation |
| title | How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax) |
| title_full | How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax) |
| title_fullStr | How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax) |
| title_full_unstemmed | How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax) |
| title_short | How Can Information Contribute to Management? Value of Information (VOI) Analysis on Indian Ocean Striped Marlin (Kajikia audax) |
| title_sort | how can information contribute to management value of information voi analysis on indian ocean striped marlin kajikia audax |
| topic | value of information fisheries management simulation test striped marlin management strategy evaluation |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2021.646174/full |
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