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Kinsela MA, Morris BD, Ingleton TC, Doyle TB, Sutherland MD, Doszpot NE, Miller JJ, Holtznagel SF, Harley MD, Hanslow DJ. Nearshore wave buoy data from southeastern Australia for coastal research and management. Sci Data 2024; 11:190. [PMID: 38347013 PMCID: PMC10861473 DOI: 10.1038/s41597-023-02865-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/18/2023] [Indexed: 02/15/2024] Open
Abstract
Wind wave observations in shallow coastal waters are essential for calibrating, validating, and improving numerical wave models to predict sediment transport, shoreline change, and coastal hazards such as beach erosion and oceanic inundation. Although ocean buoys and satellites provide near-global coverage of deep-water wave conditions, shallow-water wave observations remain sparse and often inaccessible. Nearshore wave conditions may vary considerably alongshore due to coastline orientation and shape, bathymetry and islands. We present a growing dataset of in-situ wave buoy observations from shallow waters (<35 m) in southeast Australia that comprises over 7,000 days of measurements at 20 locations. The moored buoys measured wave conditions continuously for several months to multiple years, capturing ambient and storm conditions in diverse settings, including coastal hazard risk sites. The dataset includes tabulated time series of spectral and time-domain parameters describing wave height, period and direction at half-hourly temporal resolution. Buoy displacement and wave spectra data are also available for advanced applications. Summary plots and tables describing wave conditions measured at each location are provided.
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Affiliation(s)
- Michael A Kinsela
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia.
- School of Environmental and Life Sciences, University of Newcastle, Callaghan, Australia.
| | - Bradley D Morris
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Timothy C Ingleton
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Thomas B Doyle
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Michael D Sutherland
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Neil E Doszpot
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Jeff J Miller
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Stephen F Holtznagel
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
| | - Mitchell D Harley
- Water Research Laboratory, School of Civil and Environmental Engineering, UNSW, Manly Vale, Australia
| | - David J Hanslow
- Water, Wetlands and Coasts Science, Environment and Heritage, Department of Climate Change, Energy, the Environment and Water, NSW Government, Lidcombe, Australia
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Broad A, Rees M, Knott N, Swadling D, Hammond M, Ingleton T, Morris B, Davis AR. Anchor scour from shipping and the defaunation of rocky reefs: A quantitative assessment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 863:160717. [PMID: 36528099 DOI: 10.1016/j.scitotenv.2022.160717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/22/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Anchor scour from shipping is increasingly recognised as a global threat to benthic marine biodiversity, yet no replicated ecological assessment exists for any seabed community. Without quantification of impacts to biota, there is substantial uncertainty for maritime stakeholders and managers of the marine estate on how these impacts can be managed or minimised. Our study focuses on a region in SE Australia with a high proportion of mesophotic reef (>30 m), where ships anchor while waiting to enter nearby ports. Temperate mesophotic rocky reefs are unique, providing a platform for a diversity of biota, including sponges, ahermatypic corals and other sessile invertebrates. They are rich in biodiversity, provide essential food resources, habitat refugia and ecosystem services for a range of economically, as well as ecologically important taxa. We examined seven representative taxa from four phyla (porifera, cnidaria, bryozoan, hydrozoa) across anchored and 'anchor-free' sites to determine which biota and which of their morphologies were most at risk. Using stereo-imagery, we assessed the richness of animal forest biota, morphology, size, and relative abundance. Our analysis revealed striking impacts to animal forests exposed to anchoring with between three and four-fold declines in morphotype richness and relative abundance. Marked compositional shifts, relative to those reefs that were anchor-free, were also apparent. Six of the seven taxonomic groups, most notably sponge morphotypes, exhibited strong negative responses to anchoring, while one morphotype, soft bryozoans, showed no difference between treatments. Our findings confirm that anchoring on reefs leads to the substantial removal of biota, with marked reductions of biodiversity and requires urgent management. The exclusion of areas of high biological value from anchorages is an important first step towards ameliorating impacts and promoting the recovery of biodiversity.
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Affiliation(s)
- Allison Broad
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, NSW 2522, Australia
| | - Matthew Rees
- NSW Department of Primary Industries, Marine Ecosystem Unit, Fisheries Research, 89, Huskisson, NSW 2540, Australia
| | - Nathan Knott
- NSW Department of Primary Industries, Marine Ecosystem Unit, Fisheries Research, 89, Huskisson, NSW 2540, Australia
| | - Daniel Swadling
- NSW Department of Primary Industries, Marine Ecosystem Unit, Fisheries Research, 89, Huskisson, NSW 2540, Australia
| | - Matthew Hammond
- NSW Department of Primary Industries, Marine Ecosystem Unit, Fisheries Research, 89, Huskisson, NSW 2540, Australia
| | - Tim Ingleton
- Waters, Wetlands and Coasts, New South Wales Department of Planning and Environment (DPE), Sydney, NSW 2000, Australia
| | - Bradley Morris
- Waters, Wetlands and Coasts, New South Wales Department of Planning and Environment (DPE), Sydney, NSW 2000, Australia
| | - Andrew R Davis
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, NSW 2522, Australia.
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Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean. Sci Rep 2022; 12:15338. [PMID: 36096920 PMCID: PMC9468037 DOI: 10.1038/s41598-022-19070-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 08/24/2022] [Indexed: 11/15/2022] Open
Abstract
Mapping and monitoring of seafloor habitats are key tasks for fully understanding ocean ecosystems and resilience, which contributes towards sustainable use of ocean resources. Habitat mapping relies on seafloor classification typically based on acoustic methods, and ground truthing through direct sampling and optical imaging. With the increasing capabilities to record high-resolution underwater images, manual approaches for analyzing these images to create seafloor classifications are no longer feasible. Automated workflows have been proposed as a solution, in which algorithms assign pre-defined seafloor categories to each image. However, in order to provide consistent and repeatable analysis, these automated workflows need to address e.g., underwater illumination artefacts, variances in resolution and class-imbalances, which could bias the classification. Here, we present a generic implementation of an Automated and Integrated Seafloor Classification Workflow (AI-SCW). The workflow aims to classify the seafloor into habitat categories based on automated analysis of optical underwater images with only minimal amount of human annotations. AI-SCW incorporates laser point detection for scale determination and color normalization. It further includes semi-automatic generation of the training data set for fitting the seafloor classifier. As a case study, we applied the workflow to an example seafloor image dataset from the Belgian and German contract areas for Manganese-nodule exploration in the Pacific Ocean. Based on this, we provide seafloor classifications along the camera deployment tracks, and discuss results in the context of seafloor multibeam bathymetry. Our results show that the seafloor in the Belgian area predominantly comprises densely distributed nodules, which are intermingled with qualitatively larger-sized nodules at local elevations and within depressions. On the other hand, the German area primarily comprises nodules that only partly cover the seabed, and these occur alongside turned-over sediment (artificial seafloor) that were caused by the settling plume following a dredging experiment conducted in the area.
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Feasibility of Objective Seabed Mapping Techniques in a Coastal Tidal Environment (Wadden Sea, Germany). GEOSCIENCES 2021. [DOI: 10.3390/geosciences11020049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The growing interest in monitoring the marine environment has strongly encouraged governmental agencies and research institutes to undertake seabed mapping programs and stimulated scientific interest in innovative mapping methods and tools. In this study, object-based image analysis was used to map a very shallow tidal inlet, characterized by high sediment variability and intense morphodynamic processes. The aim was to test the feasibility of reproducible mapping approaches within extended mapping programs of complex coastal areas. The study is based on full-coverage, high-resolution bathymetry and reflectivity, calibrated by means of sediment samples. Seafloor segmentation and classification were based on a cluster analysis performed on reflectivity, slope, and ruggedness. Statistics of clusters were extracted and analysed to identify the optimal number of clusters and evaluate the suitability of the clustering process to differentiate different seabed types. Clusters and samples data were joined to create a training and validation dataset for characterizing the seabed and carrying out an accuracy assessment. Misclassifications were explored and referred to three main reasons: (i) The not-perfect correspondence between sediment boundaries of classification systems and boundaries derived from the clustering process; (ii) the geomorphological features of the seabed; and (iii) the position accuracy of samples. The study contributes to testing of the feasibility of objective methods and highlights the importance of joining acoustic, lithological, and geomorphological analysis. It highlights issues and the need to critically analyse the mapping results and improve the accuracy of collected data.
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Broad A, Rees MJ, Davis AR. Anchor and chain scour as disturbance agents in benthic environments: trends in the literature and charting a course to more sustainable boating and shipping. MARINE POLLUTION BULLETIN 2020; 161:111683. [PMID: 33038636 DOI: 10.1016/j.marpolbul.2020.111683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/02/2020] [Accepted: 09/14/2020] [Indexed: 06/11/2023]
Abstract
Millions of recreational boats and ~ 65,000 ocean-going merchant ships anchor routinely. Anchor and chain scour associated with these vessels mechanically disturb the seabed having implications for marine environments globally. Our review summarises the scientific literature that examines the response of biota to anchor scour across five habitats; unvegetated sediments; seagrass; rhodolith beds; coral and rocky reefs. Forty-one studies met our criteria with >85% of articles targeting recreational-based disturbances, mostly focussed on seagrass. Investigations of anchor scour from ships comes almost exclusively from cruise ships anchoring on coral reef. All research examined reported biota responding negatively to anchor scour, either directly or indirectly. Effects to biota were dependent on the spatio-temporal scale of the perturbation or the life-histories of the organisms impacted. We highlight several key knowledge gaps requiring urgent investigation and suggest a range of management strategies to work towards sustainable anchoring practices and the preservation of valuable seabed environments.
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Affiliation(s)
- Allison Broad
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, NSW 2522, Australia.
| | - Matthew J Rees
- NSW Department of Primary Industries, Marine Ecosystem Unit, Fisheries Research, PO Box 89, Huskisson, NSW 2540, Australia
| | - Andrew R Davis
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, NSW 2522, Australia
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