Identifying management actions that promote sustainable fisheries

Melnychuk, Michael C.; Kurota, Hiroyuki; Mace, Pamela M.; Pons, Maite; Minto, Cóilín; Osio, Giacomo Chato; Jensen, Olaf P.; Moor, Carryn L De; Parma, Ana M.; Little, L. Richard; Hively, Daniel; Ashbrook, Charmane E.; Baker, Nicole; Amoroso, Ricardo O.; Branch, Trevor A.; Anderson, Christopher M.; Szuwalski, Cody; Baum, Julia K.; McClanahan, Tim R.; Ye, Yimin; Ligas, Alessandro; Bensbai, Jilali; Thompson, Grant G.; DeVore, John; Magnússon, Árni; Bogstad, Bjarte; Wort, Edward J. G.; Rice, Jake; Hilborn, Ray

doi:10.1038/s41893-020-00668-1

Cited by 79 publications

(69 citation statements)

References 35 publications

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“…4 The number of fishing vessels carrying AIS equipment for light trapping is relatively small. 5 It also has some limitations for sensors or equipment to obtain AIS and VBD. Taking the VBD as an example, VBD can only reflect the number and distribution of light vessels captured by the NPP/VIIRS satellite.…”

Section: Discussionmentioning

confidence: 99%

“…The reasons for this are as follows: (1) As early as 2011, China's Marine fishery administration department introduced corresponding management measures, in order to ensure the safety of fishing boat operations, through the mandatory installation of AIS equipment; and, (2) in the AIS data screening in Figure 5, only the AIS data of fishing vessels of Chinese nationality were analyzed, according to the static information of the AIS. 5 It can be seen, from Figure 7, that there were certain differences in the high-intensity fishing of offshore Marine fishery in the Guangdong and Guangxi areas. The main results for this are as follows: (1) The fishing intensity on the south coast of Guangdong was higher than that in the coastal area of Guangxi; and (2) the high-intensity fishing on the south coast of Guangxi mainly presents a "strip" feature, where the strip generally expands outward from the near shore, with expansion distance generally about 50 km, and where the length of the coastal line of the strip is about 70-100 km.…”

Section: Fishing Intensity Analysis Under the Fusion Of Ais And Vbdmentioning

confidence: 95%

“…However, with advances in fishing technology and an increased market demand for fisheries, the increased intensity of marine fishing, deteriorating marine ecological environments, and the increasing frequency of IUU (illegal, unreported, and unregulated) fishing incidents have presented significant challenges to the sustainable development of marine fisheries and the conservation of fish species diversity [3,4]. There has been a lack of effective integrated fishing assessment management practices and measures [5]. and therefore the scientific determination of fishing intensity data in marine fisheries is prerequisite and key to the management of fishing quotas [6].…”

Section: Introductionmentioning

confidence: 99%

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AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea

Xiao

et al. 2021

IJGI

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For the sustainable development of marine fishery resources, it is essential to comprehensively, accurately, and objectively obtain the spatial characteristics and evolution law of fishing intensity. However, previous studies have focused more on the use of single data sources, such as AIS (Automatic Information System) and VBD (VIIRS boat detection), to obtain fishing intensity information and, as such, have encountered some problems, such as insufficient comprehensive data coverage for ships, non-uniform spatial distribution of data signal acquisition, and insufficient accuracy in obtaining fishing intensity information. The development of big data and remote sensing Earth observation technology has provided abundant data sources and technical support for the acquisition of fishing intensity data for marine fisheries. Based on this situation, this paper proposes a framework that integrates the data of fishing vessels from two sources (AIS, with high space-time granularity, and VBD, with short revisit cycle and high sensitivity), in order to obtain such information based on closely matching and fusing the vector point data of ship positions. With the help of this framework and the strategy of indirectly representing fishing intensity by data point density after fusion, the spatial characteristics and rules of fishing intensity in typical seasons (February, April, September, and November) in the northern South China Sea in 2018 were systematically analyzed and investigated. The results revealed the following: (1) Matching and fusing AIS and VBD data can provide a better perspective to produce robust and accurate marine fishery intensity data. The two types of data have a low proximity match rate (approximately 1.89% and 6.73% of their respective inputs) and the matching success for fishing vessels in the data was 49.42%. (2) Single AIS data can be used for nearshore (50 to 70 km) marine fishery analysis research, while VBD data reflect the objective marine fishing in space, showing obvious complementarity with AIS. (3) The fishing intensity grid data obtained from the integrated data show that high-intensity fishing in the study area was concentrated in the coastal area of Maoming City, Guangdong (0–50 km); the coastal area of Guangxi Beihai (10–70 km); around Hainan Island in Zhangzhou (10–30 km); and the Sanya nearshore area (0–50 km). However, it did not decay with increasing offshore distance, such as at the Trans-Vietnamese boundary in the Beibu Gulf, near the China–Vietnam Common Fisheries Area (50 km) and high-intensity fishing areas. (4) The obtained fishing intensity data (AIS, VBD, and AIS + VBD) were quantitatively analyzed, showing that the CV (Coefficient of Variation) of the average for each month (after fusing the two types of data) was 0.995, indicating that the distribution of the combined data was better than that before fusion (before fusion: AIS = 0.879, VBD = 1.642). Therefore, the integration of AIS and VBD can meet the need for a more effective, comprehensive, and accurate fishing intensity analysis in marine fishery resources.

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Section: Discussionmentioning

confidence: 99%

Section: Fishing Intensity Analysis Under the Fusion Of Ais And Vbdmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea

Xiao

et al. 2021

IJGI

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“…as shown in Figure 1. Correct understanding of fishery history is important particularly when setting empirical management reference points and exploring effective management actions on the stock because we can learn from the past to see how the population responded to past management actions (Hilborn et al, 2020;Melnychuk et al, 2021). The naïve exclusion of past data has the potential risk to the future management failure through misunderstanding fishery history of the stocks.…”

Section: Inappropriate Use Of Relative Abundancementioning

confidence: 99%

Commentary: Stock Status Assessments for 12 Exploited Fishery Species in the Tsushima Warm Current Region, Southwest Japan and East China, Using the CMSY and BSM Methods

et al. 2021

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“…Recently, Hilborn et al., (2020) reviewed what is known from scientific stock assessments about the status and management of fisheries from different regions around the world and highlighted regional differences in management, showing that countries which managed their fish resources more intensively tended to have better stock status. Follow‐up work evaluated the influence of individual management attributes on changes in the time series of fishing pressure and biomass, showing that rebuilding plans had particularly strong effects on reversing overfishing (Melnychuk et al, 2021). However, neither of these studies focused on specific types of species or fisheries in their analyses.…”

Section: Introductionmentioning

confidence: 99%

Global status of groundfish stocks

et al. 2021

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We review the status of groundfish stocks using published scientific assessments for 349 individual stocks constituting 90% of global groundfish catch. Overall, average stock abundance is increasing and is currently above the level that would produce maximum sustainable yield (MSY). Fishing pressure for cod‐like fishes (Gadiformes) and flatfishes (Pleuronectiformes) was, for several decades, on average well above levels associated with MSY, but is now at or below the level expected to produce MSY. In contrast, fishing pressure for rockfishes (Scorpaeniformes) decreased from near MSY‐related levels in the mid‐1990s, and since the mid‐2000s has remained on average at only one third of MSY‐related levels. Regions with the most depressed groundfish stocks are the Northwest Atlantic and the Pacific coast of South America, while stocks from the Northeast and Eastern Central Pacific, Northeast Atlantic, Southeast Atlantic and Southwest Pacific tend to have greatest average abundance relative to MSY‐based reference points. In the most recent year available for each stock, the catch was only 61% of MSY. Equilibrium yield curves indicate that 76% of global potential groundfish yield could be achieved using current estimates of fishing pressure. 15% of this is lost by excess fishing pressure, 67% results from lower than optimal fishing pressure on healthy stocks and 18% is lost from stocks currently overfished but rebuilding. Thus, there is modest opportunity to increase catch of global groundfish fisheries by reducing overfishing on some stocks, but more by increasing harvest on others. However, there may be other reasons not to fully exploit these stocks.

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Identifying management actions that promote sustainable fisheries

Cited by 79 publications

References 35 publications

AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea

AIS and VBD Data Fusion for Marine Fishing Intensity Mapping and Analysis in the Northern Part of the South China Sea

Commentary: Stock Status Assessments for 12 Exploited Fishery Species in the Tsushima Warm Current Region, Southwest Japan and East China, Using the CMSY and BSM Methods

Global status of groundfish stocks

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