Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery

Authors: Clarke, L.J., Hill, R.A., Ford, A., Herbert, R.J.H., Esteves, L.S. and Stillman, R.A.

Journal: Ecological Informatics

Volume: 50

Pages: 136-148

ISSN: 1574-9541

DOI: 10.1016/j.ecoinf.2019.01.011

Abstract:

Accurate estimates of fishing effort are necessary in order to assess interactions with the wider ecosystem and for defining and implementing appropriate management. In intertidal and inshore fisheries in which vessel monitoring systems (VMS) or logbook programmes may not be implemented, quantifying the distribution and intensity of fishing can be difficult. The most obvious effects of bottom-contact fishing are often physical changes to the habitat, such as scarring of the sediment following dredging or trawling. We explored the potential of applying remote sensing techniques to aerial imagery collected by an unmanned aerial vehicle, or drone, in an area of intertidal mud flat (0.52 km 2 ) in Poole Harbour, UK, where shellfish dredging is widely carried out and conflicts between commercial fishing interests and the conservation of internationally important shorebird populations are a concern. Image classification and image texture analysis were performed on imagery collected during the open dredge season in November 2015, in order to calculate measures of fishing intensity across three areas of the harbour subject to different management measures. We found a significant correlation between results of the image texture analysis and official sightings records collected during the dredging season, indicating that this method most accurately quantified dredging disturbance. The relationship between shorebird densities and food intake rates and the results of this analysis method were then investigated to assess the potential for using remotely sensed measures of fishing effort to assess responses of overwintering shorebird populations to intertidal shellfish dredging. Our work highlights the application of such methods, providing a low-cost tool for quantifying fishing effort and predicting wildlife conflicts.

http://eprints.bournemouth.ac.uk/31725/

Source: Scopus

Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery

Authors: Clarke, L.J., Hill, R.A., Ford, A., Herbert, R.J.H., Esteves, L.S. and Stillman, R.A.

Journal: ECOLOGICAL INFORMATICS

Volume: 50

Pages: 136-148

eISSN: 1878-0512

ISSN: 1574-9541

DOI: 10.1016/j.ecoinf.2019.01.011

http://eprints.bournemouth.ac.uk/31725/

Source: Web of Science (Lite)

Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery

Authors: Clarke, L.J., Hill, R.A., Ford, A., Herbert, R.J.H., Esteves, L.S. and Stillman, R.A.

Journal: Ecological Informatics

Volume: 50

Pages: 136-148

ISSN: 1574-9541

DOI: 10.1016/j.ecoinf.2019.01.011

Abstract:

Accurate estimates of fishing effort are necessary in order to assess interactions with the wider ecosystem and for defining and implementing appropriate management. In intertidal and inshore fisheries in which vessel monitoring systems (VMS) or logbook programmes may not be implemented, quantifying the distribution and intensity of fishing can be difficult. The most obvious effects of bottom-contact fishing are often physical changes to the habitat, such as scarring of the sediment following dredging or trawling. We explored the potential of applying remote sensing techniques to aerial imagery collected by an unmanned aerial vehicle, or drone, in an area of intertidal mud flat (0.52 km2) in Poole Harbour, UK, where shellfish dredging is widely carried out and conflicts between commercial fishing interests and the conservation of internationally important shorebird populations are a concern. Image classification and image texture analysis were performed on imagery collected during the open dredge season in November 2015, in order to calculate measures of fishing intensity across three areas of the harbour subject to different management measures. We found a significant correlation between results of the image texture analysis and official sightings records collected during the dredging season, indicating that this method most accurately quantified dredging disturbance. The relationship between shorebird densities and food intake rates and the results of this analysis method were then investigated to assess the potential for using remotely sensed measures of fishing effort to assess responses of overwintering shorebird populations to intertidal shellfish dredging. Our work highlights the application of such methods, providing a low-cost tool for quantifying fishing effort and predicting wildlife conflicts.

http://eprints.bournemouth.ac.uk/31725/

http://www.sciencedirect.com/science/article/pii/S157495411830270X

Source: Manual

Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery.

Authors: Clarke, L.J., Hill, R.A., Ford, A., Herbert, R.J.H., Esteves, L.S. and Stillman, R.A.

Journal: Ecol. Informatics

Volume: 50

Pages: 136-148

DOI: 10.1016/j.ecoinf.2019.01.011

http://eprints.bournemouth.ac.uk/31725/

Source: DBLP

Using remote sensing to quantify fishing effort and predict shorebird conflicts in an intertidal fishery.

Authors: Clarke, L.J., Hill, R., Ford, A., Herbert, R.J.H., Esteves, L. and Stillman, R.A.

Journal: Ecological Informatics

Volume: 50

Pages: 136-148

ISSN: 1574-9541

Abstract:

Accurate estimates of fishing effort are necessary in order to assess interactions with the wider ecosystem and for defining and implementing appropriate management. In intertidal and inshore fisheries in which vessel monitoring systems (VMS) or logbook programmes may not be implemented, quantifying the distribution and intensity of fishing can be difficult. The most obvious effects of bottom-contact fishing are often physical changes to the habitat, such as scarring of the sediment following dredging or trawling. We explored the potential of applying remote sensing techniques to aerial imagery collected by an unmanned aerial vehicle, or drone, in an area of intertidal mud flat (0.52 km2) in Poole Harbour, UK, where shellfish dredging is widely carried out and conflicts between commercial fishing interests and the conservation of internationally important shorebird populations are a concern. Image classification and image texture analysis were performed on imagery collected during the open dredge season in November 2015, in order to calculate measures of fishing intensity across three areas of the harbour subject to different management measures. We found a significant correlation between results of the image texture analysis and official sightings records collected during the dredging season, indicating that this method most accurately quantified dredging disturbance. The relationship between shorebird densities and food intake rates and the results of this analysis method were then investigated to assess the potential for using remotely sensed measures of fishing effort to assess responses of overwintering shorebird populations to intertidal shellfish dredging. Our work highlights the application of such methods, providing a low-cost tool for quantifying fishing effort and predicting wildlife conflicts.

http://eprints.bournemouth.ac.uk/31725/

Source: BURO EPrints