Mapping fishing effort: Combining fishermen’s knowledge with satellite monitoring data in English waters

Enever, R.; Lewin, Shaun; Reese, Allan; Hooper, Tom

doi:10.1016/j.fishres.2017.01.009

Cited by 21 publications

(7 citation statements)

References 13 publications

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“…Monitoring the relative effort of fishing activities through high resolution, up-to-date maps is essential for the management of those fishing activities (Enever et al, 2017). Using data for 2012-2016 in this study, revealed that fishing activity was observed across some 47% of the study area and that effort for each of the methods was generally aggregated.…”

Section: Fishing Pressurementioning

confidence: 82%

Identification of marine management priority areas using a GIS-based multi-criteria approach

Nelson

Burnside

2019

Ocean & Coastal Management

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There is a global issue of balancing resource exploitation with environmental protection. In particular, the marine environment is subject to many anthropogenic pressures which are most severe in coastal zones. Authorities managing these pressures have limited time and resources, so it is essential that they have access to data and modelling tools which help them prioritise their efforts.This study presents a spatial modelling approach which draws together a range of key criteria into a single framework to identify marine areas which should be prioritised for management and monitoring. The study area, Sussex coastal waters (southern UK), was assessed through quantification and modelling of relative environmental score and fishing pressure score. Environmental score was assessed by combining ecosystem services provision, habitat diversity and sensitivity, based on seabed habitat data. Fishing pressure was assessed by combining fishing benefits, impacts and effort for specific local fisheries. The marine priority assessment was compared to the location of Marine Protected Areas to understand the relationship with existing management measures.High and very high priority classes covered just 5% of the study area, with the highest priority area between Selsey and Bognor Regis. These habitats were ones found to have high environmental score (rocky reefs and seaweed-dominated sediment) concurrent with high fishing pressure. This modelling approach suggests that these areas should be the focus of further research, monitoring and potentially management measures. There was no significant difference between the priority score inside the MPAs and those outside, however, the environmental score was significantly higher inside MPAs. These findings suggest current MPAs are protecting valuable and/or sensitive habitats and management within these sites may have resulted in less fishing pressure.Each multi-criteria element of the study individually advances our understanding of the value of this marine environment and the importance of fisheries in Sussex coastal waters. Together, the multi-criteria approach strengthens the knowledge of processes and interactions, building a robust evidence base for management decision making. A framework has been developed which, with the use of different or additional datasets, could be applied to many scenarios supporting environmental managers worldwide.

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Section: Fishing Pressurementioning

confidence: 82%

Identification of marine management priority areas using a GIS-based multi-criteria approach

Nelson

Burnside

2019

Ocean & Coastal Management

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“…For habitats outside of MPAs there are no data on habitat condition; therefore a proxy method was applied based on habitat sensitivity to fishing pressures (des Clers et al, 2008; Enever et al, 2017; Tyler‐Walters et al, 2019). We make use of an available data product: the Marine Evidence based Sensitivity Assessment (MarESA; Tyler‐Walters et al, 2018).…”

Section: Methodsmentioning

confidence: 99%

A marine natural capital asset and risk register—Towards securing the benefits from marine systems and linked ecosystem services

Rees

Ashley

Cameron

et al. 2022

Journal of Applied Ecology

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1. Documented biodiversity loss has galvanised a global process to develop conceptual frameworks that link the social and ecological systems. This paper focusses on the development of the first marine natural capital asset and risk register as a foundational decision support tool to understand the risk to ecosystem service delivery in relation to policy or management interventions.2. We make use of existing marine data products to define the component parts of the asset status (extent, condition, spatial configuration) in line with a natural capital approach. We 'Pioneer' the application of this approach in North Devon, UK, an area defined by UK Government to test how marine natural capital can be effectively managed to deliver benefits to the environment, economy and people, and identify how best to share and scale up this learning.3. We demonstrate that the majority of asset-benefit relationships are at a medium to high risk of loss under current use and management. 4. Despite policy and management measures to reduce pressures on marine systems, activities linked to fishing, farming and the water industry continue to pose a medium to high risk to the asset-benefit relationships. A lack of accurate spatial fishing effort data greatly reduces opportunities for rational and targeted approaches to improve the condition status of marine natural capital assets.Marine protected areas as a single tool are insufficient to prevent further loss of biodiversity that underpins all asset-benefit relationships. 5. Synthesis and applications. Through development of the first marine natural capital asset and risk register we demonstrates a novel decision support tool to understand the risk to ecosystem service availability in relation to environmental policy or management interventions. The results highlight that current marine | 1099

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“…Onboard observations of vessel speed for bait dragging vessels in Poole Harbour revealed a mean speed of 1.9 knots when the vessel was actively engaged in fishing and at no time did the speed exceed 2.4 knots. Speed is a common filter applied to VMS data to remove positions corresponding to steaming or inactivity rather than active fishing [3,26,27,29,34,35,36]. Using this method there is the potential for falsepositive results where a position is incorrectly assigned to active fishing when the vessel is steaming within the set speed range.…”

Section: Cleaning the Datasetmentioning

confidence: 99%

Vessel monitoring systems as a tool for mapping fishing effort for a small inshore fishery operating within a marine protected area

2021

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Mapping fishing effort: Combining fishermen’s knowledge with satellite monitoring data in English waters

Cited by 21 publications

References 13 publications

Identification of marine management priority areas using a GIS-based multi-criteria approach

Identification of marine management priority areas using a GIS-based multi-criteria approach

A marine natural capital asset and risk register—Towards securing the benefits from marine systems and linked ecosystem services

Vessel monitoring systems as a tool for mapping fishing effort for a small inshore fishery operating within a marine protected area

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