Key publications
Metcalfe K, Bréheret N, Chauvet E, Collins T, Curran BK, Parnell RJ, Turner RA, Witt MJ, Godley BJ (2018). Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning. Journal of Applied Ecology, 55(4), 1834-1845.
Shwartz A, Davies ZG, Macgregor NA, Crick HQP, Clarke D, Eigenbrod F, Gonner C, Hill CT, Knight AT, Metcalfe K, et al (2017). Scaling up from protected areas in England: the value of establishing large conservation areas. Biological Conservation, 212, 279-287.
Metcalfe K, Collins T, Abernethy KE, Boumba R, Dengui J, Miyalou R, Parnell RJ, Plummer KE, Russell DJF, Safou GK, et al (2016). Addressing Uncertainty in Marine Resource Management; Combining Community Engagement and Tracking Technology to Characterize Human Behavior.
Conservation Letters,
10(4), 460-469.
Full text.
Metcalfe K, Vaz S, Engelhard GH, Villanueva MC, Smith RJ, Mackinson S (2015). Evaluating conservation and fisheries management strategies by linking spatial prioritisation software and ecosystem and fisheries modelling tools. Journal of Applied Ecology
Metcalfe K, Agamboué PD, Augowet E, Boussamba F, Cardiec F, Fay JM, Formia A, Kema Kema JR, Kouerey C, Mabert BDK, et al (2015). Going the extra mile: Ground-based monitoring of olive ridley turtles reveals Gabon hosts the largest rookery in the Atlantic. Biological Conservation, 190, 14-22.
Struebig MJ, Wilting A, Gaveau DLA, Meijaard E, Smith RJ, the Borneo Mammal Distribution Consortium, Fischer M, Metcalfe K, Kramer-Schadt S (2015). Targeted Conservation to Safeguard a Biodiversity Hotspot from Climate and Land-Cover Change. Current Biology, 25(3), 372-378.
Publications by category
Journal articles
Cardiec F, Bertrand S, Witt MJ, Metcalfe K, Godley BJ, McClellan C, Vilela R, Parnell RJ, le Loc'h F (2020). "Too Big to Ignore": a feasibility analysis of detecting fishing events in Gabonese small-scale fisheries.
PLoS One,
15(6).
Abstract:
"Too Big to Ignore": a feasibility analysis of detecting fishing events in Gabonese small-scale fisheries.
In many developing countries, small-scale fisheries provide employment and important food security for local populations. To support resource management, the description of the spatiotemporal extent of fisheries is necessary, but often poorly understood due to the diffuse nature of effort, operated from numerous small wooden vessels. Here, in Gabon, Central Africa, we applied Hidden Markov Models to detect fishing patterns in seven different fisheries (with different gears) from GPS data. Models were compared to information collected by on-board observers (7 trips) and, at a larger scale, to a visual interpretation method (99 trips). Models utilizing different sampling resolutions of GPS acquisition were also tested. Model prediction accuracy was high with GPS data sampling rates up to three minutes apart. The minor loss of accuracy linked to model classification is largely compensated by the savings in time required for analysis, especially in a context of nations or organizations with limited resources. This method could be applied to larger datasets at a national or international scale to identify and more adequately manage fishing effort.
Abstract.
Author URL.
Full text.
Metcalfe K, Bréheret N, Bal G, Chauvet E, Doherty PD, Formia A, Girard A, Mavoungou J-G, Parnell RJ, Pikesley SK, et al (2020). Tracking foraging green turtles in the Republic of the Congo: insights into spatial ecology from a data poor region.
Oryx,
54(3), 299-306.
Abstract:
Tracking foraging green turtles in the Republic of the Congo: insights into spatial ecology from a data poor region
AbstractGlobally, marine turtles are considered threatened throughout their range, and therefore conservation practitioners are increasingly investing resources in marine protected areas to protect key life history stages and critical habitats, including foraging grounds, nesting beaches and inter-nesting areas. Empirical data on the distribution of these habitats and/or the spatial ecology and behaviour of individuals of many marine turtle populations are often lacking, undermining conservation efforts, particularly along the Atlantic coast of Africa. Here we contribute to the knowledge base in this region by describing patterns of habitat use for nine green turtles Chelonia mydas tagged with satellite platform transmitter terminals at a foraging ground in Loango Bay, Republic of the Congo, one of only a few documented mainland foraging grounds for marine turtles in Central Africa. Analyses of these data revealed that core areas of habitat use and occupancy for a wide range of size/age classes were restricted to shallow waters adjacent to Pointe Indienne in Loango Bay, with most individuals showing periods of high fidelity to this area. These data are timely given the Congolese government recently announced its intention to create a marine conservation zone to protect marine turtles in Loango Bay. Despite the small sample size of this study, these data exemplify the need for comprehensive strategies that span national jurisdictions, as we provide the first documented evidence of linkages between green turtle foraging sites in Central Africa (Loango Bay, Republic of the Congo) and Southern Africa (Mussulo Bay, Angola).
Abstract.
Trew BT, Grantham HS, Barrientos C, Collins T, Doherty PD, Formia A, Godley BJ, Maxwell SM, Parnell RJ, Pikesley SK, et al (2019). Using Cumulative Impact Mapping to Prioritize Marine Conservation Efforts in Equatorial Guinea.
Frontiers in Marine Science,
6 Full text.
Pikesley SK, Agamboue PD, Bayet JP, Bibang JN, Bonguno EA, Boussamba F, Broderick AC, Coyne MS, Du Plessis P, Faure FE, et al (2018). A novel approach to estimate the distribution, density and at-sea risks of a centrally-placed mobile marine vertebrate.
Biological Conservation,
221, 246-256.
Full text.
Duncan EM, Arrowsmith J, Bain C, Broderick AC, Lee J, Metcalfe K, Pikesley SK, Snape RTE, van Sebille E, Godley BJ, et al (2018). The true depth of the Mediterranean plastic problem: Extreme microplastic pollution on marine turtle nesting beaches in Cyprus.
Mar Pollut Bull,
136, 334-340.
Abstract:
The true depth of the Mediterranean plastic problem: Extreme microplastic pollution on marine turtle nesting beaches in Cyprus.
We sampled 17 nesting sites for loggerhead (Caretta caretta) and green turtles (Chelonia mydas) in Cyprus. Microplastics (
Abstract.
Author URL.
Metcalfe K, Bréheret N, Chauvet E, Collins T, Curran BK, Parnell RJ, Turner RA, Witt MJ, Godley BJ (2018). Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning. Journal of Applied Ecology, 55(4), 1834-1845.
Dawson TM, Formia A, Agamboué PD, Asseko GM, Boussamba F, Cardiec F, Chartrain E, Doherty PD, Fay JM, Godley BJ, et al (2017). Informing Marine Protected Area Designation and Management for Nesting Olive Ridley Sea Turtles Using Satellite Tracking.
Frontiers in Marine Science,
4 Full text.
Shwartz A, Davies ZG, Macgregor NA, Crick HQP, Clarke D, Eigenbrod F, Gonner C, Hill CT, Knight AT, Metcalfe K, et al (2017). Scaling up from protected areas in England: the value of establishing large conservation areas. Biological Conservation, 212, 279-287.
Metcalfe K, Collins T, Abernethy KE, Boumba R, Dengui J, Miyalou R, Parnell RJ, Plummer KE, Russell DJF, Safou GK, et al (2016). Addressing Uncertainty in Marine Resource Management; Combining Community Engagement and Tracking Technology to Characterize Human Behavior.
Conservation Letters,
10(4), 460-469.
Full text.
Gardner CJ, Raxworthy CJ, Metcalfe K, Raselimanana AP, Smith RJ, Davies ZG (2015). Comparing Methods for Prioritising Protected Areas for Investment: a Case Study Using Madagascar’s Dry Forest Reptiles. PLOS ONE, 10(7), e0132803-e0132803.
Metcalfe K, Vaz S, Engelhard GH, Villanueva MC, Smith RJ, Mackinson S (2015). Evaluating conservation and fisheries management strategies by linking spatial prioritisation software and ecosystem and fisheries modelling tools. Journal of Applied Ecology
Metcalfe K, Agamboué PD, Augowet E, Boussamba F, Cardiec F, Fay JM, Formia A, Kema Kema JR, Kouerey C, Mabert BDK, et al (2015). Going the extra mile: Ground-based monitoring of olive ridley turtles reveals Gabon hosts the largest rookery in the Atlantic. Biological Conservation, 190, 14-22.
Metcalfe K, Vaughan G, Vaz S, Smith RJ (2015). Spatial, socio-economic, and ecological implications of incorporating minimum size constraints in marine protected area network design. Conservation Biology, 29(6), 1615-1625.
Struebig MJ, Wilting A, Gaveau DLA, Meijaard E, Smith RJ, the Borneo Mammal Distribution Consortium, Fischer M, Metcalfe K, Kramer-Schadt S (2015). Targeted Conservation to Safeguard a Biodiversity Hotspot from Climate and Land-Cover Change. Current Biology, 25(3), 372-378.
Metcalfe K, Roberts T, Smith RJ, Harrop SR (2013). Marine conservation science and governance in North-West Europe: Conservation planning and international law and policy.
Marine Policy,
39(1), 289-295.
Abstract:
Marine conservation science and governance in North-West Europe: Conservation planning and international law and policy
Member States of the European Union are increasingly designating marine protected areas (MPAs) to meet globally agreed marine protection targets and regional commitments. A number of studies have examined the impact of the associated European policy on the representation of species and habitats but there is no comprehensive review of their combined impact on marine conservation in Europe. Here a systematic conservation planning framework is used to conduct such a review and compare the existing legislation to three elements of best practice, which are designed to identify MPA networks that achieve conservation goals whilst increasing the likelihood of implementation. In particular, this review investigates the extent to which legislation: (i) translates broad policy goals into explicit targets; (ii) incorporates socio-economic data into the planning process; and (iii) requires a social assessment. Whilst this legislation has widespread political support and has underpinned the rapid expansion of MPA networks, this review shows it largely fails to incorporate these key components from systematic conservation planning. Therefore, if European approaches to marine conservation are to fulfil their goal of halting marine biodiversity loss, it is essential they link existing policy frameworks with transparent strategies that account for local conditions and support implementation. © 2012 Elsevier Ltd.
Abstract.
Metcalfe K, Delavenne J, Garcia C, Foveau A, Dauvin J-C, Coggan R, Vaz S, Harrop SR, Smith RJ (2012). Impacts of data quality on the setting of conservation planning targets using the species-area relationship. Diversity and Distributions, 19(1), 1-13.
Veríssimo D, Metcalfe K (2012). Whaling: Quota trading won't work. Nature, 482(7384), 162-162.
Delavenne J, Metcalfe K, Smith RJ, Vaz S, Martin CS, Dupuis L, Coppin F, Carpentier A (2011). Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools.
ICES Journal of Marine Science,
69(1), 75-83.
Abstract:
Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools
Abstract
. Delavenne, J. Metcalfe, K. Smith, R. J. Vaz, S. Martin, C. S. Dupuis, L. Coppin, F. and Carpentier, A. 2012. Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools. – ICES Journal of Marine Science, 69: 75–83. The systematic conservation approach is now commonly used for the design of efficient marine protected area (MPA) networks, and identifying these priority areas often involves using specific conservation-planning software. Several such software programmes have been developed in recent years, each differing in the underlying algorithms used. Here, an investigation is made into whether the choice of software influences the location of priority areas by comparing outputs from Marxan and Zonation, two widely used conservation-planning, decision-support tools. Using biological and socio-economic data from the eastern English Channel, outputs are compared and it is shown that the two software packages identified similar sets of priority areas, although the relatively wide distribution of habitat types and species considered offered much flexibility. Moreover, the similarity increased with increasing spatial constraint, especially when using real-world cost data, suggesting that the choice of cost metric has a greater influence on conservation-planning analyses than the choice of software. However, Marxan generally produced more efficient results and Zonation produced results with greater connectivity, so the most appropriate software package will depend on the overall goals of the MPA planning process.
Abstract.
Metcalfe K, Ffrench-Constant R, Gordon I (2009). Sacred sites as hotspots for biodiversity: the Three Sisters Cave complex in coastal Kenya. Oryx, 44(01), 118-118.
Publications by year
2020
Cardiec F, Bertrand S, Witt MJ, Metcalfe K, Godley BJ, McClellan C, Vilela R, Parnell RJ, le Loc'h F (2020). "Too Big to Ignore": a feasibility analysis of detecting fishing events in Gabonese small-scale fisheries.
PLoS One,
15(6).
Abstract:
"Too Big to Ignore": a feasibility analysis of detecting fishing events in Gabonese small-scale fisheries.
In many developing countries, small-scale fisheries provide employment and important food security for local populations. To support resource management, the description of the spatiotemporal extent of fisheries is necessary, but often poorly understood due to the diffuse nature of effort, operated from numerous small wooden vessels. Here, in Gabon, Central Africa, we applied Hidden Markov Models to detect fishing patterns in seven different fisheries (with different gears) from GPS data. Models were compared to information collected by on-board observers (7 trips) and, at a larger scale, to a visual interpretation method (99 trips). Models utilizing different sampling resolutions of GPS acquisition were also tested. Model prediction accuracy was high with GPS data sampling rates up to three minutes apart. The minor loss of accuracy linked to model classification is largely compensated by the savings in time required for analysis, especially in a context of nations or organizations with limited resources. This method could be applied to larger datasets at a national or international scale to identify and more adequately manage fishing effort.
Abstract.
Author URL.
Full text.
Metcalfe K, Bréheret N, Bal G, Chauvet E, Doherty PD, Formia A, Girard A, Mavoungou J-G, Parnell RJ, Pikesley SK, et al (2020). Tracking foraging green turtles in the Republic of the Congo: insights into spatial ecology from a data poor region.
Oryx,
54(3), 299-306.
Abstract:
Tracking foraging green turtles in the Republic of the Congo: insights into spatial ecology from a data poor region
AbstractGlobally, marine turtles are considered threatened throughout their range, and therefore conservation practitioners are increasingly investing resources in marine protected areas to protect key life history stages and critical habitats, including foraging grounds, nesting beaches and inter-nesting areas. Empirical data on the distribution of these habitats and/or the spatial ecology and behaviour of individuals of many marine turtle populations are often lacking, undermining conservation efforts, particularly along the Atlantic coast of Africa. Here we contribute to the knowledge base in this region by describing patterns of habitat use for nine green turtles Chelonia mydas tagged with satellite platform transmitter terminals at a foraging ground in Loango Bay, Republic of the Congo, one of only a few documented mainland foraging grounds for marine turtles in Central Africa. Analyses of these data revealed that core areas of habitat use and occupancy for a wide range of size/age classes were restricted to shallow waters adjacent to Pointe Indienne in Loango Bay, with most individuals showing periods of high fidelity to this area. These data are timely given the Congolese government recently announced its intention to create a marine conservation zone to protect marine turtles in Loango Bay. Despite the small sample size of this study, these data exemplify the need for comprehensive strategies that span national jurisdictions, as we provide the first documented evidence of linkages between green turtle foraging sites in Central Africa (Loango Bay, Republic of the Congo) and Southern Africa (Mussulo Bay, Angola).
Abstract.
2019
Trew BT, Grantham HS, Barrientos C, Collins T, Doherty PD, Formia A, Godley BJ, Maxwell SM, Parnell RJ, Pikesley SK, et al (2019). Using Cumulative Impact Mapping to Prioritize Marine Conservation Efforts in Equatorial Guinea.
Frontiers in Marine Science,
6 Full text.
2018
Pikesley SK, Agamboue PD, Bayet JP, Bibang JN, Bonguno EA, Boussamba F, Broderick AC, Coyne MS, Du Plessis P, Faure FE, et al (2018). A novel approach to estimate the distribution, density and at-sea risks of a centrally-placed mobile marine vertebrate.
Biological Conservation,
221, 246-256.
Full text.
Duncan EM, Arrowsmith J, Bain C, Broderick AC, Lee J, Metcalfe K, Pikesley SK, Snape RTE, van Sebille E, Godley BJ, et al (2018). The true depth of the Mediterranean plastic problem: Extreme microplastic pollution on marine turtle nesting beaches in Cyprus.
Mar Pollut Bull,
136, 334-340.
Abstract:
The true depth of the Mediterranean plastic problem: Extreme microplastic pollution on marine turtle nesting beaches in Cyprus.
We sampled 17 nesting sites for loggerhead (Caretta caretta) and green turtles (Chelonia mydas) in Cyprus. Microplastics (
Abstract.
Author URL.
Metcalfe K, Bréheret N, Chauvet E, Collins T, Curran BK, Parnell RJ, Turner RA, Witt MJ, Godley BJ (2018). Using satellite AIS to improve our understanding of shipping and fill gaps in ocean observation data to support marine spatial planning. Journal of Applied Ecology, 55(4), 1834-1845.
2017
Dawson TM, Formia A, Agamboué PD, Asseko GM, Boussamba F, Cardiec F, Chartrain E, Doherty PD, Fay JM, Godley BJ, et al (2017). Informing Marine Protected Area Designation and Management for Nesting Olive Ridley Sea Turtles Using Satellite Tracking.
Frontiers in Marine Science,
4 Full text.
Shwartz A, Davies ZG, Macgregor NA, Crick HQP, Clarke D, Eigenbrod F, Gonner C, Hill CT, Knight AT, Metcalfe K, et al (2017). Scaling up from protected areas in England: the value of establishing large conservation areas. Biological Conservation, 212, 279-287.
2016
Metcalfe K, Collins T, Abernethy KE, Boumba R, Dengui J, Miyalou R, Parnell RJ, Plummer KE, Russell DJF, Safou GK, et al (2016). Addressing Uncertainty in Marine Resource Management; Combining Community Engagement and Tracking Technology to Characterize Human Behavior.
Conservation Letters,
10(4), 460-469.
Full text.
2015
Gardner CJ, Raxworthy CJ, Metcalfe K, Raselimanana AP, Smith RJ, Davies ZG (2015). Comparing Methods for Prioritising Protected Areas for Investment: a Case Study Using Madagascar’s Dry Forest Reptiles. PLOS ONE, 10(7), e0132803-e0132803.
Metcalfe K, Vaz S, Engelhard GH, Villanueva MC, Smith RJ, Mackinson S (2015). Evaluating conservation and fisheries management strategies by linking spatial prioritisation software and ecosystem and fisheries modelling tools. Journal of Applied Ecology
Metcalfe K, Agamboué PD, Augowet E, Boussamba F, Cardiec F, Fay JM, Formia A, Kema Kema JR, Kouerey C, Mabert BDK, et al (2015). Going the extra mile: Ground-based monitoring of olive ridley turtles reveals Gabon hosts the largest rookery in the Atlantic. Biological Conservation, 190, 14-22.
Metcalfe K, Vaughan G, Vaz S, Smith RJ (2015). Spatial, socio-economic, and ecological implications of incorporating minimum size constraints in marine protected area network design. Conservation Biology, 29(6), 1615-1625.
Struebig MJ, Wilting A, Gaveau DLA, Meijaard E, Smith RJ, the Borneo Mammal Distribution Consortium, Fischer M, Metcalfe K, Kramer-Schadt S (2015). Targeted Conservation to Safeguard a Biodiversity Hotspot from Climate and Land-Cover Change. Current Biology, 25(3), 372-378.
2013
Metcalfe K, Roberts T, Smith RJ, Harrop SR (2013). Marine conservation science and governance in North-West Europe: Conservation planning and international law and policy.
Marine Policy,
39(1), 289-295.
Abstract:
Marine conservation science and governance in North-West Europe: Conservation planning and international law and policy
Member States of the European Union are increasingly designating marine protected areas (MPAs) to meet globally agreed marine protection targets and regional commitments. A number of studies have examined the impact of the associated European policy on the representation of species and habitats but there is no comprehensive review of their combined impact on marine conservation in Europe. Here a systematic conservation planning framework is used to conduct such a review and compare the existing legislation to three elements of best practice, which are designed to identify MPA networks that achieve conservation goals whilst increasing the likelihood of implementation. In particular, this review investigates the extent to which legislation: (i) translates broad policy goals into explicit targets; (ii) incorporates socio-economic data into the planning process; and (iii) requires a social assessment. Whilst this legislation has widespread political support and has underpinned the rapid expansion of MPA networks, this review shows it largely fails to incorporate these key components from systematic conservation planning. Therefore, if European approaches to marine conservation are to fulfil their goal of halting marine biodiversity loss, it is essential they link existing policy frameworks with transparent strategies that account for local conditions and support implementation. © 2012 Elsevier Ltd.
Abstract.
2012
Metcalfe K, Delavenne J, Garcia C, Foveau A, Dauvin J-C, Coggan R, Vaz S, Harrop SR, Smith RJ (2012). Impacts of data quality on the setting of conservation planning targets using the species-area relationship. Diversity and Distributions, 19(1), 1-13.
Veríssimo D, Metcalfe K (2012). Whaling: Quota trading won't work. Nature, 482(7384), 162-162.
2011
Delavenne J, Metcalfe K, Smith RJ, Vaz S, Martin CS, Dupuis L, Coppin F, Carpentier A (2011). Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools.
ICES Journal of Marine Science,
69(1), 75-83.
Abstract:
Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools
Abstract
. Delavenne, J. Metcalfe, K. Smith, R. J. Vaz, S. Martin, C. S. Dupuis, L. Coppin, F. and Carpentier, A. 2012. Systematic conservation planning in the eastern English Channel: comparing the Marxan and Zonation decision-support tools. – ICES Journal of Marine Science, 69: 75–83. The systematic conservation approach is now commonly used for the design of efficient marine protected area (MPA) networks, and identifying these priority areas often involves using specific conservation-planning software. Several such software programmes have been developed in recent years, each differing in the underlying algorithms used. Here, an investigation is made into whether the choice of software influences the location of priority areas by comparing outputs from Marxan and Zonation, two widely used conservation-planning, decision-support tools. Using biological and socio-economic data from the eastern English Channel, outputs are compared and it is shown that the two software packages identified similar sets of priority areas, although the relatively wide distribution of habitat types and species considered offered much flexibility. Moreover, the similarity increased with increasing spatial constraint, especially when using real-world cost data, suggesting that the choice of cost metric has a greater influence on conservation-planning analyses than the choice of software. However, Marxan generally produced more efficient results and Zonation produced results with greater connectivity, so the most appropriate software package will depend on the overall goals of the MPA planning process.
Abstract.
2009
Metcalfe K, Ffrench-Constant R, Gordon I (2009). Sacred sites as hotspots for biodiversity: the Three Sisters Cave complex in coastal Kenya. Oryx, 44(01), 118-118.