2015
DOI: 10.1016/j.marpol.2015.06.004
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Making progress towards integration of existing sampling activities to establish Joint Monitoring Programmes in support of the MSFD

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Cited by 31 publications
(37 citation statements)
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“…Within an ecosystem approach to management, monitoring programmes should be adaptive to ensure that data are collected to support those assessment areas that are most uncertain, and/or showing the strongest degradation (Shephard et al, 2015). Risk analysis is required to draw attention to activities that pose a risk to biodiversity and ecosystem function (e.g., Pinnegar et al, 2014;Katsanevakis et al, 2016).…”
Section: Modeling To Understand Data Gapsmentioning
confidence: 99%
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“…Within an ecosystem approach to management, monitoring programmes should be adaptive to ensure that data are collected to support those assessment areas that are most uncertain, and/or showing the strongest degradation (Shephard et al, 2015). Risk analysis is required to draw attention to activities that pose a risk to biodiversity and ecosystem function (e.g., Pinnegar et al, 2014;Katsanevakis et al, 2016).…”
Section: Modeling To Understand Data Gapsmentioning
confidence: 99%
“…Such approaches can indicate where changes in monitoring can reduce the variance in the distribution model, or if multiple indicators are supported by one monitoring programme this can be optimized by minimizing a weighted average of the indicators' variances (Carstensen and Lindegarth, 2016). The power needed to detect change in given indicators can be assessed leading to operational decisions on how many data types can be collected whilst maintaining sufficient overall precision and accuracy (Shephard et al, 2015).…”
Section: Modeling To Understand Data Gapsmentioning
confidence: 99%
“…Representing model uncertainty spatially (Figure 3) is especially useful as the MSFD relies on spatial assessments and species distribution indicators will be directly affected by the quality of the data used to model distributions. The location and frequency of multiple-objective monitoring programs can be modeled and the power needed to detect change in given indicators can be assessed leading to operational decisions on how many data types can be collected whilst maintaining sufficient overall precision and accuracy (Shephard et al, 2015b). As an example the Cefas integrated ecosystem survey program in the western Channel collected multibeam data from which seabed conditions were inferred for the entire area.…”
Section: Mapping Benthic Habitats and Species Distributionsmentioning
confidence: 99%
“…It is therefore desirable to develop cost-efficient methods (Danovaro et al, 2017) and increase the time and space resolution of sampling, by integrating zooplankton monitoring into multipurpose surveys (Shephard et al, 2015). Such methods will need to combine cost effectiveness with quality of scientific data, sufficient to provide effective observational platforms for monitoring the planktonic ecosystem in relation to the environment, and produce the necessary evidence base to support management decisions.…”
Section: Introductionmentioning
confidence: 99%