Detailed mapping of fishing effort and landings by coupling fishing logbooks with satellite-recorded vessel geo-location

Bastardie, François; Nielsen, J. Rasmus; Ulrich, Clara; Egekvist, Josefine; Degel, Henrik

doi:10.1016/j.fishres.2010.06.016

Cited by 124 publications

(112 citation statements)

References 17 publications

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“…7). However, fishing activity in the control area was low, which may have prevented us from detecting a potential MPA-effect (see Bastardie et al 2010 for details on the use of VMS data). Another expla nation for this may be that the home range of sand eels in the present study area is considerably larger than the size of Horns Rev I plus control area, and sandeels therefore freely move between the impact area and the control area (Kramer & Chapman 1999, Engelhard et al 2008.…”

Section: Discussionmentioning

confidence: 99%

Short- and long-term effects of an offshore wind farm on three species of sandeel and their sand habitat

Deurs

Grome²,

Kaspersen³

et al. 2012

Mar. Ecol. Prog. Ser.

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Offshore wind farms (OWFs) are being constructed at a high rate due to a high demand, both economically and politically, for sources of renewable energy. We investigated the short-term and long-term effects of an OWF situated in the North Sea off western Denmark (Horn Rev I; global position: 7.84°E, 55.48°N) on 3 ecologically important species of sandeel. Since sandeels display a distinct preference for sand habitats with a weight fraction of silt+clay < 2%, we expected changes in habitat quality to provide a causal explanation for the potential effect of the OWF on the sandeel community. A Before-After-Control-Impact (BACI) analysis was applied. A baseline survey from March 2002 (prior to construction) was combined with surveys conducted in March 2004 (short-term effects) and March 2010 (long-term effects) plus an additional survey in September 2009. Sandeels were collected using a modified scallop dredge and sediment samples using a van Veen grab. The results from an analysis on all species combined revealed a positive short-term effect on the densities of both juveniles and adults, which was consistent with a reduction in the fraction of silt+clay. In the long term, a negative effect on juveniles was found; however, this effect was neither consistent with the additional survey in 2009 nor the silt+clay fraction. Subsequent analysis at the species level revealed that the effects detected were driven by Hyperoplus lanceolatus, which dominated the study area in all years. Habitat quality was high in both the affected and control area throughout the study period.

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Section: Discussionmentioning

confidence: 99%

Short- and long-term effects of an offshore wind farm on three species of sandeel and their sand habitat

Deurs

Grome²,

Kaspersen³

et al. 2012

Mar. Ecol. Prog. Ser.

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“…Logbook information was merged with vessel details including number of fishers on board, vessel, and fishing gear type, and the physical characteristics of vessels (length, engine size, main gear, fish landing site). All activities by the vessel during fishing were captured including zero catch dates and non-fishing days (e.g., Bastardie et al, 2010). Results, including mean and standard errors, are presented for all vessels.…”

Section: Characterizing Fishing Activity Via Fishers Log Booksmentioning

confidence: 99%

“…However, these methods are not spatially explicit, nor do they differentiate between migrant and local fishers. A spatially explicit assessment of fisher resource use patterns requires high resolution and reliable information about spatial and temporal patterns and allocation of fishing effort for informed decision-making (Bastardie et al, 2010;Campbell et al, 2014;Pet-Soede et al, 2001). In addition, research methods typically employed for studying artisanal fisheries are often criticized for distortions related to recall, reliability, reproducibility, behavioral change, and privacy issues, especially when used in isolation (Gonzalez, Hidalgo, & Barabasi, 2008;Malleret-King, Glass, Wanyonyi, & Pomeroy, 2006;Ron, Muhando, & Francis, 1998;Stone & Shiffman, 2002).…”

Section: Novelty Of This Approachmentioning

confidence: 99%

Using participatory methods to assess data poor migrant fisheries in Kenya

Wanyonyi

Macharia

Heenan

et al. 2018

Human Dimensions of Wildlife

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Spatial information is limited for artisanal fisheries management and almost entirely absent for migrant fishers. Here, we addressed this data gap for East African migrant fishers via participatory mapping methods. We worked with 14 migrant fishing vessels operating from four fish landing sites in Kenya. We monitored individual vessels using GPS tracking to produce fishing ground intensity maps. We then generated fishing preference maps via focus group discussions. The fishing intensity maps provided high-resolution spatial information on fishing activities, whereas the fishing preference maps identified preferred fishing grounds. These two techniques generally showed high agreement. By further integrating these two fisher coproduced maps with supplemental vessel logbook data, it is clear that any spatial management measures would most affect migrant fishers using ringnets, hook and line, and cast nets gear. Our successful application of low-technology participatory mapping techniques to provide geospatial fisheries data have broad application to data poor fisheries worldwide.

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“…In general, the spatial aggregation of socio-economic data in a GIS framework is difficult, involving close collaboration with the respective sectors (Ban et al 2013). Most progress can be found with regard to the mapping of fleet-specific fisheries activities due to technical advances in combining Vessel Monitoring System (VMS) and logbook information (Bastardie et al 2010;Lee et al 2010;Hintzen et al 2012). Finally, GIS-based DSS should be flexible enough to respond to shifting circumstances, such as changes in environmental conditions, environmental targets, growth expectations in the aquaculture sector, or policy environments.…”

Section: Conclusion and Future Needsmentioning

confidence: 99%

Aquaculture Site-Selection and Marine Spatial Planning: The Roles of GIS-Based Tools and Models

Stelzenmüller

Gimpel

Gopnik

et al. 2017

Aquaculture Perspective of Multi-Use Sites in the Open Ocean

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Around the globe, increasing human activities in coastal and offshore waters have created complex conflicts between different sectors competing for space and between the use and conservation of ocean resources. Like other users, aquaculture proponents evaluate potential offshore sites based primarily on their biological suitability, technical feasibility, and cost considerations. Recently, Marine Spatial Planning (MSP) has been promoted as an approach for achieving more ecosystem-based marine management, with a focus on balancing multiple management objectives in a holistic way. Both industry-specific and multiple-use planners all rely heavily on spatially-referenced data, Geographic Information System (GIS)-based analytical tools, and Decision Support Systems (DSS) to explore a range of options and assess their costs and benefits. Although ecological factors can currently be assessed fairly comprehensively, better tools are needed to evaluate and incorporate the economic and social considerations that will also be critical to identifying potential sites and achieving successful marine plans. This section highlights the advances in GIS-based DSS in relation to their capability for aquaculture site selection and their integration into multiple-use MSP. A special case of multiple-use planning-the potential co-location of offshore wind energy and aquaculture-is also discussed, including an example in the German EEZ of the North Sea.

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Detailed mapping of fishing effort and landings by coupling fishing logbooks with satellite-recorded vessel geo-location

Cited by 124 publications

References 17 publications

Short- and long-term effects of an offshore wind farm on three species of sandeel and their sand habitat

Short- and long-term effects of an offshore wind farm on three species of sandeel and their sand habitat

Using participatory methods to assess data poor migrant fisheries in Kenya

Aquaculture Site-Selection and Marine Spatial Planning: The Roles of GIS-Based Tools and Models

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