Habitat Science Is an Essential Element of Ecosystem‐Based Fisheries Management

Marshak, Anthony R.; Brown, Stephen K.

doi:10.1080/03632415.2017.1323523

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…The resolution of the bathymetric and geomorphometric data presented here fall well within the thresholds of ecological relevance identified by previous studies [21–23]. These data can help generate habitat maps to support management of Marine Protected Areas, parks, or reserves [70], contribute to fisheries management [66], and inform marine spatial planning across sectors including offshore energy, and seabed mining [68].…”

Section: Discussionsupporting

confidence: 68%

“…While the crowd-sourced bathymetry presented here cannot match high-resolution of hydrographic multibeam surveys, we have been able to generate a bathymetric grid that is over a hundred times finer resolution than GEBCO data for a fraction of the cost of a multibeam survey. Such data can be instrumental in supporting studies in oceanography [27], marine geology [29], geohazard assessment [28], ecological research [23], marine conservation [65], and fisheries management [66]. Elvenes et al [36] report that although the high-resolution bathymetry and backscatter (a measure of seabed hardness and roughness) from MBES systems provide more complete information on seabed features, Olex data can provide sufficient information for sediment and biotope mapping at a regional scale.…”

Section: Discussionmentioning

confidence: 99%

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Generating higher resolution regional seafloor maps from crowd-sourced bathymetry

2019

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Seafloor mapping can offer important insights for marine management, spatial planning, and research in marine geology, ecology, and oceanography. Here, we present a method for generating regional bathymetry and geomorphometry maps from crowd-sourced depth soundings (Olex AS) for a small fraction of the cost of multibeam data collection over the same area. Empirical Bayesian Kriging was used to generate a continuous bathymetric surface from incomplete and, in some areas, sparse Olex coverage on the Newfoundland and Labrador shelves of eastern Canada. The result is a 75m bathymetric grid that provides over 100x finer spatial resolution than previously available for the majority of the 672,900 km 2 study area. The interpolated bathymetry was tested for accuracy against independent depth data provided by Fisheries and Oceans Canada (Spearman correlation = 0.99, p<0.001). Quantitative terrain attributes were generated to better understand seascape characteristics at multiple spatial scales, including slope, rugosity, aspect, and bathymetric position index. Landform classification was carried out using the geomorphons algorithm and a novel method for the identification of previously unmapped tributary canyons at the continental shelf edge are also presented to illustrate some of many potential benefits of crowd-sourced regional seafloor mapping.

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Section: Discussionsupporting

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Generating higher resolution regional seafloor maps from crowd-sourced bathymetry

2019

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“…If there is a habitat‐linked change to population productivity metrics, then that would need to be considered in a SA model or result in modified F (Table ‐Habitat.VII). For example, in an instance when habitat was known to be expanding for butterfish ( Peprilus triacanthus ), this information was incorporated into a SA model, productivity was actually estimated to increase, and the subsequent F was increased (Adams, Miller, Manderson, Richardson, & Smith, ; Essington et al, ; Kohut et al, ; Manderson, Palamara, Kohut, & Oliver, ; Marshak & Brown, ). It is worth noting that a lot of the potential management actions for habitat relate to habitat restoration and that these often result in benefits for a broader set of species than just the focal taxa (Table ‐Habitat.VIII).…”

Section: Operational Frameworkmentioning

confidence: 99%

“…If a decline in habitat was indicated (Figure 8), the first step would be to determine if that habitat was linked to population metrics and rates, or if the habitat were particularly identified as sensitive (using information not included in (Adams, Miller, Manderson, Richardson, & Smith, 2015;Essington et al, 2016;Kohut et al, 2012;Manderson, Palamara, Kohut, & Oliver, 2011;Marshak & Brown, 2017). It is worth noting that a lot of the potential management actions for habitat relate to habitat restoration and that these often result in benefits for a broader set of species than just the focal taxa (Table 1-Habitat.VIII).…”

Section: Using Flow Charts To Determine Possible Management Actionsmentioning

confidence: 99%

Changing how we approach fisheries: A first attempt at an operational framework for ecosystem approaches to fisheries management

et al. 2020

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The increasing need to account for the many factors that influence fish population dynamics, particularly those external to the population, has led to repeated calls for an ecosystem approach to fisheries management (EAFM). Yet systematically and clearly addressing these factors, and hence implementing EAFM, has suffered from a lack of clear operational guidance. Here, we propose 13 main factors (shift in location, migration route or timing, overfishing (three types), decrease in physiology, increase in predation, increase in competition, decrease in prey availability, increase in disease or parasites and a decline in habitat quality or habitat quantity) that can negatively influence fish populations via mechanisms readily observable in ~20 population features. Using these features as part of a diagnostic framework, we develop flow charts that link probable mechanism(s) underlying population change to the most judicious management actions. We then apply the framework for example case studies that have well‐known and documented population dynamics. To our knowledge, this is the first attempt to provide a clearly defined matrix of all the probable responses to the most common factors influencing fish populations, and to examine possible diagnostics simultaneously, comparatively and relatively in an attempt to elucidate the most probable mechanisms responsible. The framework we propose aims to operationalize EAFM, thereby not only better diagnosing factors influencing fish populations, but also suggesting the most appropriate management interventions, and ultimately leading to improved fisheries. We assert the framework proposed should result in both better use of limited analytical and observational resources and more tailored and effective management actions.

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“…Ecosystem-based fisheries management requires consideration of relevant ecosystem characteristics that impact production and recovery of fish populations through effects on recruitment (Link 2002;Pikitch et al 2004). In particular, the dynamics between essential habitats and productivity must be understood to implement comprehensive management strategies (Marshak and Brown 2017). Quality nursery habitats are thought to contribute disproportionately to the adult population by supporting increased densities, better survival, faster growth, and successful movement of recruits to adult habitats (Beck et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Nursery Habitat Quality Assessed by the Condition of Juvenile Fishes: Not All Estuarine Areas Are Equal

Schloesser

Fabrizio

2018

Estuaries and Coasts

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High-quality nursery habitats support greater numbers of juveniles that survive to adulthood, but characteristics underlying highquality habitats remain elusive because their productivity varies spatially and temporally and may be species-specific. Fish condition is an energy-integrative measure of ecological interactions, stress, and activity within a habitat, such that juvenile fish condition is representative of the quality of nursery habitats. We apply spatially explicit models to examine patterns in nursery habitat quality of Virginia estuaries based on nutritional condition for Atlantic croaker Micropogonias undulatus, summer flounder Paralichthys dentatus, and striped bass Morone saxatilis. Environmental factors (water temperature, dissolved oxygen, salinity, and depth) positively influenced the condition of Atlantic croaker but had mixed effects on striped bass and summer flounder condition, despite co-location of these species. Over the observed range of environmental conditions, the potential impact of salinity was 1.7 to 6 times that of other environmental factors. The condition of Atlantic croaker was negatively influenced by conspecific density, indicating local abundance mediates habitat quality. Regional habitat effects on fish condition were apparent after adjusting for broad-scale environmental effects: on average, striped bass condition was 22% greater in habitats near tributary mouths, Atlantic croaker condition was 28% greater in upestuary habitats, and the adjusted mean condition of summer flounder associated with coastal lagoons and the eastern side of Chesapeake Bay was 100% greater than conspecifics from other regions. Not all habitats are equally suitable for juvenile stages of estuarine species, but locations that produce wellconditioned individuals reveal the environmental characteristics associated with high-quality nursery habitats that contribute to species-specific productivity.

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Habitat Science Is an Essential Element of Ecosystem‐Based Fisheries Management

Cited by 3 publications

References 2 publications

Generating higher resolution regional seafloor maps from crowd-sourced bathymetry

Generating higher resolution regional seafloor maps from crowd-sourced bathymetry

Changing how we approach fisheries: A first attempt at an operational framework for ecosystem approaches to fisheries management

Nursery Habitat Quality Assessed by the Condition of Juvenile Fishes: Not All Estuarine Areas Are Equal

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