Developments in mapping of seabed habitats for Marine Protected Area planning and monitoring

Jordan, Alan; Davies, Peter L.; Ingleton, Tim; Mesley, Edwina; Neilson, Joseph; Pritchard, Tim

doi:10.1109/oceanssyd.2010.5603890

Cited by 2 publications

(6 citation statements)

References 31 publications

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“…Most shallow (< 25 m) reefs are dominated by the kelp E . radiata or sea urchin barrens, and deeper reefs (> 25 m) generally dominated by sponges and other sessile invertebrates, although kelp can be found up to 40 m [ 17 , 32 , 33 , 34 ].…”

Section: Methodsmentioning

confidence: 99%

“…Surveys were conducted on rocky reefs previously mapped using swath acoustics [ 33 , 34 ], in depths of 25–50 m (each site had plots across this depth range but a single plot only contained a range of approximately 5–10 m within the 25–50 m depth range, e.g. 25–35 m or 40–50 m).…”

Section: Methodsmentioning

confidence: 99%

“…slope and structural complexity), and dominated by macroalgae, principally E . radiata , turf algae or sessile invertebrates [ 30 , 35 ]. All sites were surveyed within 3 months during late winter/spring of 2012 to reduce the influence of seasonal effects (Solitary Islands: 22–28 August, Port Stephens: 8–14 November, Batemans Bay: 27–29 November).…”

Section: Methodsmentioning

confidence: 99%

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Large-scale assessment of benthic communities across multiple marine protected areas using an autonomous underwater vehicle

et al. 2018

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Marine protected areas (MPAs) are designed to reduce threats to biodiversity and ecosystem functioning from anthropogenic activities. Assessment of MPAs effectiveness requires synchronous sampling of protected and non-protected areas at multiple spatial and temporal scales. We used an autonomous underwater vehicle to map benthic communities in replicate ‘no-take’ and ‘general-use’ (fishing allowed) zones within three MPAs along 7o of latitude. We recorded 92 taxa and 38 morpho-groups across three large MPAs. We found that important habitat-forming biota (e.g. massive sponges) were more prevalent and abundant in no-take zones, while short ephemeral algae were more abundant in general-use zones, suggesting potential short-term effects of zoning (5–10 years). Yet, short-term effects of zoning were not detected at the community level (community structure or composition), while community structure varied significantly among MPAs. We conclude that by allowing rapid, simultaneous assessments at multiple spatial scales, autonomous underwater vehicles are useful to document changes in marine communities and identify adequate scales to manage them. This study advanced knowledge of marine benthic communities and their conservation in three ways. First, we quantified benthic biodiversity and abundance, generating the first baseline of these benthic communities against which the effectiveness of three large MPAs can be assessed. Second, we identified the taxonomic resolution necessary to assess both short and long-term effects of MPAs, concluding that coarse taxonomic resolution is sufficient given that analyses of community structure at different taxonomic levels were generally consistent. Yet, observed differences were taxa-specific and may have not been evident using our broader taxonomic classifications, a classification of mid to high taxonomic resolution may be necessary to determine zoning effects on key taxa. Third, we provide an example of statistical analyses and sampling design that once temporal sampling is incorporated will be useful to detect changes of marine benthic communities across multiple spatial and temporal scales.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Large-scale assessment of benthic communities across multiple marine protected areas using an autonomous underwater vehicle

et al. 2018

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“…This data was acquired under the NSW Department of Planning and Environment statewide mapping program SeaBed NSW, which collects high-resolution bathymetric data to provide foundational data to improve modelling of coastal processes and hazards and inform assessments of coastal risk (Hanslow et al, 2016;Kinsela et al, 2017). The program includes acquisition of multibeam echosounder data, which builds upon an extensive catalogue of multibeam surveys since 2005 (Jordan et al, 2010). Previous methods to classify seabed features within these datasets were primarily manually digitised (Jordan et al, 2010), however with the high volumes of bathymetric data this is untenable, and there was clear need for greater automation.…”

mentioning

confidence: 99%

“…The program includes acquisition of multibeam echosounder data, which builds upon an extensive catalogue of multibeam surveys since 2005 (Jordan et al, 2010). Previous methods to classify seabed features within these datasets were primarily manually digitised (Jordan et al, 2010), however with the high volumes of bathymetric data this is untenable, and there was clear need for greater automation.…”

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confidence: 99%

Classification of seabed landforms on continental and island shelves

Linklater,

Morris,

Hanslow

2023

Front. Mar. Sci.

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The increasing availability and quality of high-resolution bathymetry data has led to a growing need for automated classification approaches to extract seabed features and better understand our ever-changing and complex seascapes. Here we present a new set of GIS tools designed to classify seabed landforms on continental and island shelf settings. The classification approach utilises bathymetry data and its derivatives of slope, ruggedness and bathymetric position index to delineate key components of the seabed surface. The user is guided through a series of steps to break down the seabed surface into components termed ‘surface elements’ (e.g. smooth, rugose, slope areas), which are subsequently grouped into prominent seabed features termed ‘seabed landforms’ (e.g. reefs, channels, scarps). Manual review and editing are incorporated into the workflow, striking a balance between automation and expert manual interpretation. We present the toolset using examples from the statewide marine lidar dataset from New South Wales, Australia, and explore tool settings using bathymetric data representing different data sources (multibeam and marine lidar), environmental seascapes, data resolutions (2, 5, 10 and 20 m cell size) and data preparation treatments (with and without data smoothing). The GIS toolset presented offers an effective and flexible method to extract key features from high-resolution shelf bathymetry data. Such mapping provides fundamental baseline data for vast applications within marine planning, research and management.

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Developments in mapping of seabed habitats for Marine Protected Area planning and monitoring

Cited by 2 publications

References 31 publications

Large-scale assessment of benthic communities across multiple marine protected areas using an autonomous underwater vehicle

Large-scale assessment of benthic communities across multiple marine protected areas using an autonomous underwater vehicle

Classification of seabed landforms on continental and island shelves

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