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Literatura académica sobre el tema "Marine habitats mapping"

Autor: Grafiati

Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Marine habitats mapping"

Doukari, M. y K. Topouzelis. "UAS DATA ACQUISITION PROTOCOL FOR MARINE HABITAT MAPPING: AN ACCURACY ASSESSMENT STUDY". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (22 de agosto de 2020): 1321–26. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1321-2020.

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Abstract. Marine habitat mapping is essential for updating existing information, preserving, and protecting the marine environment. Unmanned Aerial Systems (UAS) are an important tool for monitoring and mapping coastal and marine environment because of their ability to provide very high-resolution aerial imagery.Environmental conditions have a critical role in marine mapping using UAS. This is due to the limitations of UAS surveys in coastal areas, i.e. the environmental conditions prevailing in the area. The limitations of weather and oceanographic conditions affecting the quality of marine data led to the creation of a UAS protocol for the acquisition of reliable marine information. The produced UAS Data Acquisition Protocol consists of three main categories: (i) Morphology of the study area, (ii) Environmental conditions, (iii) Flight parameters. These categories include the parameters that must be considered for marine habitat mapping.The aim of the present study is the accuracy assessment of the UAS protocol for marine habitat mapping through experimental flights. For the accuracy assessment of the UAS protocol, flights on different dates and environmental conditions were conducted, over a study area. The flight altitude was the same for all the missions, so the results were comparable. The high-resolution orthophoto maps derived from each date of the experiment were classified. The classification maps show several differences in the shape and size of the marine habitats which are directly dependent on the conditions that the habitats were mapped. A change detection comparison was conducted in pairs to examine the exact changes between the classified maps.The results emphasize the importance of the environmental conditions prevailing in an area during the mapping of marine habitats. The present study proves that the optimal flight conditions that are proposed of the UAS Data Acquisition protocol, respond to the real-world conditions and are important to be considered for an accurate and reliable mapping of the marine environment.

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Amani, Meisam, Candace Macdonald, Abbas Salehi, Sahel Mahdavi y Mardi Gullage. "Marine Habitat Mapping Using Bathymetric LiDAR Data: A Case Study from Bonne Bay, Newfoundland". Water 14, n.º 23 (23 de noviembre de 2022): 3809. http://dx.doi.org/10.3390/w14233809.

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Marine habitats provide various benefits to the environment and humans. In this regard, an accurate marine habitat map is an important component of effective marine management. Newfoundland’s coastal area is covered by different marine habitats, which should be correctly mapped using advanced technologies, such as remote sensing methods. In this study, bathymetric Light Detection and Ranging (LiDAR) data were applied to accurately discriminate different habitat types in Bonne Bay, Newfoundland. To this end, the LiDAR intensity image was employed along with an object-based Random Forest (RF) algorithm. Two types of habitat classifications were produced: a two-class map (i.e., Vegetation and Non-Vegetation) and a five-class map (i.e., Eelgrass, Macroalgae, Rockweed, Fine Sediment, and Gravel/Cobble). It was observed that the accuracies of the produced habitat maps were reasonable considering the existing challenges, such as the error of the LiDAR data and lacking enough in situ samples for some of the classes such as macroalgae. The overall classification accuracies for the two-class and five-class maps were 87% and 80%, respectively, indicating the high capability of the developed machine learning model for future marine habitat mapping studies. The results also showed that Eelgrass, Fine Sediment, Gravel/Cobble, Macroalgae, and Rockweed cover 22.4% (3.66 km2), 51.4% (8.39 km2), 13.5% (2.21 km2), 6.9% (1.12 km2), and 5.8% (0.95 km2) of the study area, respectively.

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Aguhob, Jeruel, Waleed Hamza, Andreas Reul, Muna Musabih, Shahid Mustafa y Maria Muñoz. "Baseline Habitat Setting for Future Evaluation of Environmental Status Quality of Jabal Ali Marine Sanctuary, Dubai, UAE". Sustainability 16, n.º 6 (13 de marzo de 2024): 2374. http://dx.doi.org/10.3390/su16062374.

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Habitat mapping plays a crucial role in assessing marine protected areas (MPA) and implementing marine spatial management approaches. This study aims to present the spatial habitat distribution of the Jabal Ali Marine Sanctuary, considering the development projects implemented in its proximity. It serves as a reference for guiding conservation management efforts. The study focuses on in situ hyperspectral measurements of the optical properties of both the water column and the substrate. Additionally, a high density of geo-referenced spot checks were conducted, serving as sample points for ecological evaluation and ground-truthing. An “object-oriented” approach was adopted to generate the seabed map in two evaluated studies conducted in 2006 and 2017. While the 2017 survey identified 16 habitats, the 2006 study characterized only 10 habitats. These habitat maps serve as powerful tools for implementing mitigation measures and providing scientific support to mitigate the negative impact on the most crucial marine habitats within the context of a protected area management framework. Furthermore, monitoring the cover of the most important habitats provides an integrative indicator to maintain the good environmental status of the marine sanctuary. Based on this study, the information will be a reference for evaluating and synergizing the management approaches implemented by both the competent authority and the different stakeholders in the sanctuary.

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Lee, Sonny T. M., Michelle Kelly, Tim J. Langlois y Mark J. Costello. "Baseline seabed habitat and biotope mapping for a proposed marine reserve". PeerJ 3 (10 de diciembre de 2015): e1446. http://dx.doi.org/10.7717/peerj.1446.

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Seabed mapping can quantify the extent of benthic habitats that comprise marine ecosystems, and assess the impact of fisheries on an ecosystem. In this study, the distribution of seabed habitats in a proposed no-take Marine Reserve along the northeast coast of Great Barrier Island, New Zealand, was mapped using underwater video combined with bathymetry and substratum data. As a result of the boundary extending to the 12 nautical mile Territorial Limit, it would have been the largest coastal Marine Reserve in the country. Recreational and commercial fisheries occur in the region and would be expected to affect species’ abundance. The seabed of the study area and adjacent coastal waters has been trawled up to five times per year. Benthic communities were grouped by multivariate cluster analysis into four biotope classes; namely (1) shallow water macroalgaeEckloniasp. andUlvasp. on rocky substrata (Eck.Ulv); and deeper (2) diverse epifauna of sponges and bryozoans on rocky substrata (Por.Bry), (3) brittle starAmphiurasp. and sea anemoneEdwardsiasp. on muddy sand (Amph.Edw), and (4) hydroids on mud (Hyd). In biotopes Por.Bry, Amph.Edw and Hyd, there where boulders and rocks were present, and diverse sponge, bryozoan and coral communities. Fifty species were recorded in the deep water survey including significant numbers of the shallow-water hexactinellid glass spongesSymplectella rowiDendy, 1924 andRossella ijimaiDendy, 1924, the giant pipe demospongeIsodictya cavicornutaDendy, 1924, black corals, and locally endemic gorgonians. The habitats identified in the waters to the northeast of Great Barrier Island are likely to be representative of similar depth ranges in northeast New Zealand. This study provides a baseline of the benthic habitats so that should the area become a Marine Reserve, any habitat change might be related to protection from fishing activities and impacts, such as recovery of epifauna following cessation of trawling. The habitat map may also be used to stratify future sampling that would aim to collect and identify epifauna and infauna for identification, and thus better describe the biodiversity of the area.

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Immordino, Francesco, Mattia Barsanti, Elena Candigliota, Silvia Cocito, Ivana Delbono y Andrea Peirano. "Application of Sentinel-2 Multispectral Data for Habitat Mapping of Pacific Islands: Palau Republic (Micronesia, Pacific Ocean)". Journal of Marine Science and Engineering 7, n.º 9 (12 de septiembre de 2019): 316. http://dx.doi.org/10.3390/jmse7090316.

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Sustainable and ecosystem-based marine spatial planning is a priority of Pacific Island countries basing their economy on marine resources. The urgency of management coral reef systems and associated coastal environments, threatened by the effects of climate change, require a detailed habitat mapping of the present status and a future monitoring of changes over time. Here, we present a remote sensing study using free available Sentinel-2 imagery for mapping at large scale the most sensible and high value habitats (corals, seagrasses, mangroves) of Palau Republic (Micronesia, Pacific Ocean), carried out without any sea truth validation. Remote sensing ‘supervised’ and ‘unsupervised’ classification methods applied to 2017 Sentinel-2 imagery with 10 m resolution together with comparisons with free ancillary data on web platform and available scientific literature were used to map mangrove, coral, and seagrass communities in the Palau Archipelago. This paper addresses the challenge of multispectral benthic mapping estimation using commercial software for preprocessing steps (ERDAS ATCOR) and for benthic classification (ENVI) on the base of satellite image analysis. The accuracy of the methods was tested comparing results with reference NOAA (National Oceanic and Atmospheric Administration, Silver Spring, MD, USA) habitat maps achieved through Ikonos and Quickbird imagery interpretation and sea-truth validations. Results showed how the proposed approach allowed an overall good classification of marine habitats, namely a good concordance of mangroves cover around Palau Archipelago with previous literature and a good identification of coastal habitats in two sites (barrier reef and coastal reef) with an accuracy of 39.8–56.8%, suitable for survey and monitoring of most sensible habitats in tropical remote islands.

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McRea, James E., H. Gary Greene, Victoria M. O'Connell y W. Waldo Wakefield. "Mapping marine habitats with high resolution sidescan sonar". Oceanologica Acta 22, n.º 6 (noviembre de 1999): 679–86. http://dx.doi.org/10.1016/s0399-1784(00)88958-6.

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Fyfe, Jim, Steven A. Israel, Albert Chong, Norhadi Ismail, Catriona L. Hurd y Keith Probert. "Mapping Marine Habitats in Otago, Southern New Zealand". Geocarto International 14, n.º 3 (septiembre de 1999): 17–28. http://dx.doi.org/10.1080/10106049908542113.

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Noji, Thomas, Heye Rumohr y Stephen J. Smith. "Sediment–biota interactions and mapping marine habitats: an Introduction". ICES Journal of Marine Science 66, n.º 9 (1 de octubre de 2009): 2012. http://dx.doi.org/10.1093/icesjms/fsp213.

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Lim, Aaron, Andrew J. Wheeler y Luis Conti. "Cold-Water Coral Habitat Mapping: Trends and Developments in Acquisition and Processing Methods". Geosciences 11, n.º 1 (26 de diciembre de 2020): 9. http://dx.doi.org/10.3390/geosciences11010009.

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Cold-water coral (CWC) habitats are considered important centers of biodiversity in the deep sea, acting as spawning grounds and feeding area for many fish and invertebrates. Given their occurrence in remote parts of the planet, research on CWC habitats has largely been derived from remotely-sensed marine spatial data. However, with ever-developing marine data acquisition and processing methods and non-ubiquitous nature of infrastructure, many studies are completed in isolation resulting in large inconsistencies. Here, we present a concise review of marine remotely-sensed spatial raster data acquisition and processing methods in CWC habitats to highlight trends and knowledge gaps. Sixty-three studies that acquire and process marine spatial raster data since the year 2000 were reviewed, noting regional geographic location, data types (‘acquired data’) and how the data were analyzed (‘processing methods’). Results show that global efforts are not uniform with most studies concentrating in the NE Atlantic. Although side scan sonar was a popular mapping method between 2002 and 2012, since then, research has focused on the use of multibeam echosounder and photogrammetric methods. Despite advances in terrestrial mapping with machine learning, it is clear that manual processing methods are largely favored in marine mapping. On a broader scale, with large-scale mapping programs (INFOMAR, Mareano, Seabed2030), results from this review can help identify where more urgent research efforts can be concentrated for CWC habitats and other vulnerable marine ecosystems.

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Morsy, S., A. B. Yánez Suárez y K. Robert. "3D MAPPING OF BENTHIC HABITAT USING XGBOOST AND STRUCTURE FROM MOTION PHOTOGRAMMETRY". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (5 de diciembre de 2023): 1131–36. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-1131-2023.

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Abstract. Benthic habitats mapping is essential to the management and conservation of marine ecosystems. The traditional methods of mapping benthic habitats, which involve multibeam data acquisition and manually collecting and annotating imagery data, are time-consuming. However, with technological advances, using machine learning (ML) algorithms with structure-from-motion (SfM) photogrammetry has become a promising approach for mapping benthic habitats accurately and at very high resolutions. This paper explores using SfM photogrammetry and extreme gradient boosting (XGBoost) classifier for benthic habitat 3D mapping of a vertical wall at the Charlie-Gibbs Fracture Zone in the North Atlantic Ocean. The classification workflow started with extracting frames from video footage. The SfM was then applied to reconstruct the 3D point cloud of the wall. Thereafter, nine geometric features were derived from the 3D point cloud geometry. The XGBoost classifier was then used to classify the vertical wall into rock, sponges, and corals (Case 1 - three classes). In addition, we separated the sponges class into three types of sponges: Demospongiae, Hexactinellida, and other Porifera (Case 2 - five classes). Moreover, we compared the results from XGBoost with the widely used ML classifier, random forest (RF). For Case 2, XGBoost achieved an overall accuracy (OA) of 74.45%, while RF achieved 73.10%. The OA improved by about 10% from both classifiers when the three types of sponges were combined into one class (Case 1). Results showed that the presented 3D mapping of benthic habitat has the potential to provide more detailed and accurate information about marine ecosystems.

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Tesis sobre el tema "Marine habitats mapping"

Stevens, Tim y n/a. "Mapping Benthic Habitats for Representation in Marine Protected Areas". Griffith University. School of Environmental and Applied Science, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040303.124815.

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Virtually all marine conservation planning and management models in place or proposed have in common the need for improved scientific rigour in identifying and characterising the marine habitats encompassed. An emerging central theme in the last few years has been the concept of representativeness, or representative systems of Marine Protected Areas (MPAs). The habitat classification and mapping needed to incorporate considerations of representativeness into MPA planning must logically be carried out at the same scale at which management occurs. Management of highly protected areas occurs almost exclusively at local scales or finer, independent of the reservation model or philosophy employed. Moreton Bay, on Australias east coast, was selected for studies at the local scale to map and classify macrobenthic habitats. In a site scale (1 km) trial for the major habitat classification study, remote underwater videography was used to map and characterise an unusual assemblage of epibenthic invertebrates on soft sediments. The assemblage included congregations of the comatulid crinoid Zygometra cf. Z. microdiscus (Bell) at densities up to 0.88 individuals.m-2, comparable to those found in coral reef habitats. There was no correlation between the distribution of this species and commonly used abiotic surrogates depth (6 18 m), sediment composition and residual current. This site scale trial is the first quantitative assessment of crinoid density and distribution in shallow water soft-sediment environments. The high densities found are significant in terms of the generally accepted picture of shallow-water crinoids as essentially reefal fauna. The findings highlight the conservation benefits of an inclusive approach to marine habitat survey and mapping. Assemblages such as the one described, although they may be of scientific and ecological significance, would have been overlooked by common approaches to marine conservation planning which emphasise highly productive or aesthetically appealing habitats. Most habitat mapping studies rely solely or in part on abiotic surrogates for patterns of biodiversity. The utility of abiotic variables in predicting biological distributions at the local scale (10 km) was tested. Habitat classifications of the same set of 41 sites based on 6 abiotic variables and abundances of 89 taxa and bioturbation indicators were compared using correlation, regression and ordination analyses. The concepts of false homogeneity and false heterogeneity were defined to describe types of errors associated with using abiotic surrogates to construct habitat maps. The best prediction by abiotic surrogates explained less than 30% of the pattern of biological similarity. Errors of false homogeneity were between 20 and 62%, depending on the methods of estimation. Predictive capability of abiotic surrogates at the taxon level was poor, with only 6% of taxon / surrogate correlations significant. These results have implications for the widespread use of abiotic surrogates in marine habitat mapping to plan for, or assess, representation in Marine Protected Areas. Abiotic factors did not discriminate sufficiently between different soft bottom communities to be a reliable basis for mapping. Habitat mapping for the design of Marine Protected Areas is critically affected by the scale of the source information. The relationship between biological similarity of macrobenthos and the distance between sites was investigated at both site and local scales, and for separate biotic groups. There was a significant negative correlation between similarity and distance, in that sites further apart were less similar than sites close together. The relationship, although significant, was quite weak at the site scale. Rank correlograms showed that similarity was high at scales of 10 km or less, and declined markedly with increasing distance. There was evidence of patchiness in the distributions of some biotic groups, especially seagrass and anthozoans, at scales less than 16 km. In other biotic groups there was an essentially monotonic decline in similarity with distance. The spatial agglomeration approach to habitat mapping was valid in the study area. Site spacing of less than 10 km was necessary to capture important components of biological similarity. Site spacing of less than 2.5 km did not appear to be warranted. Macrobenthic habitat types were classified and mapped at 78 sites spaced 5 km apart. The area mapped was about 2,400 km2 and extended from estuarine shallow subtidal waters to offshore areas to the 50 m isobath. Nine habitat types were recognised, with only one on hard substrate. The habitat mapping characterised several habitat types not previously described in the area and located deepwater algal and soft coral reefs not previously reported. Seagrass beds were encountered in several locations where their occurrence was either unknown or had not previously been quantified. The representation of the derived habitat types within an existing marine protected area was assessed. Only two habitat types were represented in highly protected zones, with less than 3% of each included The study represents the most spatially comprehensive survey of epibenthos undertaken in Moreton Bay, with over 40,000 m2 surveyed. Derived habitat maps provide a robust basis for inclusion of representative examples of all habitat types in marine protected area planning in and adjacent to Moreton Bay. The utility of video data to conduct a low-cost habitat survey over a comparatively large area was also demonstrated. The method used has potentially wide application for the survey and design of marine protected areas.

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Stevens, Tim. "Mapping Benthic Habitats for Representation in Marine Protected Areas". Thesis, Griffith University, 2004. http://hdl.handle.net/10072/367557.

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Virtually all marine conservation planning and management models in place or proposed have in common the need for improved scientific rigour in identifying and characterising the marine habitats encompassed. An emerging central theme in the last few years has been the concept of representativeness, or representative systems of Marine Protected Areas (MPAs). The habitat classification and mapping needed to incorporate considerations of representativeness into MPA planning must logically be carried out at the same scale at which management occurs. Management of highly protected areas occurs almost exclusively at local scales or finer, independent of the reservation model or philosophy employed. Moreton Bay, on Australia’s east coast, was selected for studies at the local scale to map and classify macrobenthic habitats. In a site scale (1 km) trial for the major habitat classification study, remote underwater videography was used to map and characterise an unusual assemblage of epibenthic invertebrates on soft sediments. The assemblage included congregations of the comatulid crinoid Zygometra cf. Z. microdiscus (Bell) at densities up to 0.88 individuals.m-2, comparable to those found in coral reef habitats. There was no correlation between the distribution of this species and commonly used abiotic surrogates depth (6 – 18 m), sediment composition and residual current. This site scale trial is the first quantitative assessment of crinoid density and distribution in shallow water soft-sediment environments. The high densities found are significant in terms of the generally accepted picture of shallow-water crinoids as essentially reefal fauna. The findings highlight the conservation benefits of an inclusive approach to marine habitat survey and mapping. Assemblages such as the one described, although they may be of scientific and ecological significance, would have been overlooked by common approaches to marine conservation planning which emphasise highly productive or aesthetically appealing habitats. Most habitat mapping studies rely solely or in part on abiotic surrogates for patterns of biodiversity. The utility of abiotic variables in predicting biological distributions at the local scale (10 km) was tested. Habitat classifications of the same set of 41 sites based on 6 abiotic variables and abundances of 89 taxa and bioturbation indicators were compared using correlation, regression and ordination analyses. The concepts of false homogeneity and false heterogeneity were defined to describe types of errors associated with using abiotic surrogates to construct habitat maps. The best prediction by abiotic surrogates explained less than 30% of the pattern of biological similarity. Errors of false homogeneity were between 20 and 62%, depending on the methods of estimation. Predictive capability of abiotic surrogates at the taxon level was poor, with only 6% of taxon / surrogate correlations significant. These results have implications for the widespread use of abiotic surrogates in marine habitat mapping to plan for, or assess, representation in Marine Protected Areas. Abiotic factors did not discriminate sufficiently between different soft bottom communities to be a reliable basis for mapping. Habitat mapping for the design of Marine Protected Areas is critically affected by the scale of the source information. The relationship between biological similarity of macrobenthos and the distance between sites was investigated at both site and local scales, and for separate biotic groups. There was a significant negative correlation between similarity and distance, in that sites further apart were less similar than sites close together. The relationship, although significant, was quite weak at the site scale. Rank correlograms showed that similarity was high at scales of 10 km or less, and declined markedly with increasing distance. There was evidence of patchiness in the distributions of some biotic groups, especially seagrass and anthozoans, at scales less than 16 km. In other biotic groups there was an essentially monotonic decline in similarity with distance. The spatial agglomeration approach to habitat mapping was valid in the study area. Site spacing of less than 10 km was necessary to capture important components of biological similarity. Site spacing of less than 2.5 km did not appear to be warranted. Macrobenthic habitat types were classified and mapped at 78 sites spaced 5 km apart. The area mapped was about 2,400 km2 and extended from estuarine shallow subtidal waters to offshore areas to the 50 m isobath. Nine habitat types were recognised, with only one on hard substrate. The habitat mapping characterised several habitat types not previously described in the area and located deepwater algal and soft coral reefs not previously reported. Seagrass beds were encountered in several locations where their occurrence was either unknown or had not previously been quantified. The representation of the derived habitat types within an existing marine protected area was assessed. Only two habitat types were represented in highly protected zones, with less than 3% of each included The study represents the most spatially comprehensive survey of epibenthos undertaken in Moreton Bay, with over 40,000 m2 surveyed. Derived habitat maps provide a robust basis for inclusion of representative examples of all habitat types in marine protected area planning in and adjacent to Moreton Bay. The utility of video data to conduct a low-cost habitat survey over a comparatively large area was also demonstrated. The method used has potentially wide application for the survey and design of marine protected areas.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Environmental and Applied Science
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Gormley, Kate Sarah Geddes. "Mapping priority marine habitats : knowledge of their ecosystem to underpin the marine planning process". Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2884.

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Marine planners need to know about ecosystems, such as Priority Marine Habitats (PMHs) in order to manage and conserve them effectively. The overarching theme of this thesis is to contribute to this knowledge through the development of “marine planning tools”. The primary focus is on the PMH, Modiolus modiolus beds, although other PMHs and Marine Protected Areas (MPAs) were also considered. Four key studies were designed and conducted, i) Species Distribution Modelling (SDM) of M. modiolus in UK waters; ii) SDM of PMHs in Europe; iii) assessment of MPA management effort; and iv) the genetic connectivity of M. modiolus beds Overall, the research provided information and knowledge to contribute to implementation of a truly ecosystem-based approach to management and effective PMH management. It is now known: i) where Modiolus modiolus beds occur; ii) where they have the potential to occur, now and in the future; iii) that there is the potential for them to be lost/ hindered or lack-viability if ocean temperatures increase; iv) that they may become more important to conservation at northern latitudes in the future; v) that European nations will have to work towards integrated marine conservation policies and protection when considering all PMHs; vi) that some MPAs may require more effort to manage than others and that it may be possible to predict which ones they will be; vii) that cumulative human impacts may not be the driving force for management effort; and viii) that some M. modiolus beds in the UK are potentially connected. The data and discussion points generated within this thesis will enable effective PMH management through the selection of appropriate management strategies.

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net, matt@harves y Matthew Harvey. "Development of techniques to classify marine benthic habitats using hyperspectral imagery in oligotrophic, temperate waters". Murdoch University, 2009. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20091118.110704.

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There is an increasing need for more detailed knowledge about the spatial distribution and structure of shallow water benthic habitats for marine conservation and planning. This, linked with improvements in hyperspectral image sensors provides an increased opportunity to develop new techniques to better utilise these data in marine mapping projects. The oligotrophic, optically-shallow waters surrounding Rottnest Island, Western Australia, provide a unique opportunity to develop and apply these new mapping techniques. The three flight lines of HyMap hyperspectral data flown for the Rottnest Island Reserve (RIR) in April 2004 were corrected for atmospheric effects, sunglint and the influence of the water column using the Modular Inversion and Processing System. A digital bathymetry model was created for the RIR using existing soundings data and used to create a range of topographic variables (e.g. slope) and other spatially relevant environmental variables (e.g. exposure to waves) that could be used to improve the ecological description of the benthic habitats identified in the hyperspectral imagery. A hierarchical habitat classification scheme was developed for Rottnest Island based on the dominant habitat components, such as Ecklonia radiata or Posidonia sinuosa. A library of 296 spectral signatures at HyMap spectral resolution (~15 nm) was created from >6000 in situ measurements of the dominant habitat components and subjected to spectral separation analysis at all levels of the habitat classification scheme. A separation analysis technique was developed using a multivariate statistical optimisation approach that utilised a genetic algorithm in concert with a range of spectral metrics to determine the optimum set of image bands to achieve maximum separation at each classification level using the entire spectral library. These results determined that many of the dominant habitat components could be separated spectrally as pure spectra, although there were almost always some overlapping samples from most classes at each split in the scheme. This led to the development of a classification algorithm that accounted for these overlaps. This algorithm was tested using mixture analysis, which attempted to identify 10 000 synthetically mixed signatures, with a known dominant component, on each run. The algorithm was applied directly to the water-corrected bottom reflectance data to classify the benthic habitats. At the broadest scale, bio-substrate regions were separated from bare substrates in the image with an overall accuracy of 95% and, at the finest scale, bare substrates, Posidonia, Amphibolis, Ecklonia radiata, Sargassum species, algal turf and coral were separated with an accuracy of 70%. The application of these habitat maps to a number of marine planning and management scenarios, such as marine conservation and the placement of boat moorings at dive sites was demonstrated.

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Baxter, Katrina. "Linking seafloor mapping and ecological models to improve classification of marine habitats : opportunities and lessons learnt in the Recherche Archipelago, Western Australia". University of Western Australia. School of Plant Biology, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0181.

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[Truncated abstract] Spatially explicit marine habitat data is required for effective resource planning and management across large areas, although mapped boundaries typically lack rigour in explaining what factors influence habitat distributions. Accurate, quantitative methods are needed. In this thesis I aimed to assess the utility of ecological models to determine what factors limit the spatial extent of marine habitats. I assessed what types of modeling methods were able to produce the most accurate predictions and what influenced model results. To achieve this, initially a broad scale marine habitat survey was undertaken in the Recherche Archipelago, on the south coast of Western Australia using video and sidescan sonar. Broad and more detailed functional habitats types were mapped for 1054km2 of the Archipelago. Broad habitats included high and low profile reefs, sand, seagrass and extensive rhodolith beds, although considerable variation could be identified from video within these broad types. Different densities of seagrass were identified and reefs were dominated by macroalgae, filter feeder communities, or a combination of both. Geophysical characteristics (depth, substrate, relief) and dominant benthic biota were recorded and then modelled using decision trees and a combination of generalised additive models (GAMs) and generalised linear models (GLMs) to determine the factors influencing broad and functional habitat variation. Models were developed for the entire Archipelago (n=2769) and a subset of data in Esperance Bay (n=797), which included exposure to wave conditions (mean maximum wave height and mean maximum shear stress) calculated from oceanographic models. Additional distance variables from the mainland and islands were also derived and used as model inputs for both datasets. Model performance varied across habitats, with no one method better than the other in terms of overall model accuracy for each habitat type, although prevalent classes (>20%) such as high profile reefs with macroalgae and dense seagrass were the most reliable (Area Under the Curve >0.7). ... This highlighted not only issues of data prevalence, but also how ecological models can be used to test the reliability of classification schemes. Care should be taken when mapping predicted habitat occurrence with broad habitat models. It should not be assumed that all habitats within the type will be defined spatially, as this may result in the distribution of distinctive and unique habitats such as filterfeeders being underestimated or not identified at all. More data is needed to improve prediction of these habitats. Despite the limitations identified, the results provide direction for future field sampling to ensure appropriate variables are sampled and classification schemes are carefully designed to improve descriptions of habitat distributions. Reliable habitat models that make ecological sense will assist future assessments of biodiversity within habitats as well as provide improved data on the probability of habitat occurrence. This data and the methods developed will be a valuable resource for reserve selection models that prioritise sites for management and planning of marine protected areas.

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Marre, Guilhem. "Développement de la photogrammétrie et d'analyses d'images pour l'étude et le suivi d'habitats marins". Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTG012.

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Dans un contexte de changement climatique et d’érosion de la biodiversité marine, la surveillance écologique des habitats marins les plus sensibles est primordiale et nécessite des méthodes opérationnelles de suivi permettant aux décideurs et gestionnaires d’établir des mesures de conservation pertinentes et d’évaluer leur efficacité. TEMPO et RECOR sont deux réseaux de surveillance centrés sur les herbiers de posidonie et les récifs coralligènes, les deux habitats les plus riches et sensibles de Méditerranée. L’objectif de cette thèse est de répondre aux besoins de la surveillance des habitats marins par le développement de méthodes d’évaluation de leur état de santé, basées sur deux techniques d’analyses d’images clés : les réseaux de neurones convolutifs et la photogrammétrie. Les résultats montrent que les réseaux de neurones convolutifs sont capables de reconnaître les principales espèces des assemblages coralligènes sur des photos sous-marines issues de RECOR, avec une précision semblable à celle d’un expert taxonomiste. Par ailleurs, nous avons montré que la photogrammétrie permettait de reproduire en 3D un habitat marin avec une grande précision, suffisante pour un suivi de la structure de l’habitat et de la distribution d’espèces à fine échelle. À partir de ces reconstructions, nous avons mis au point une méthode de cartographie automatique des herbiers de posidonie, permettant de réaliser un suivi temporel de la qualité écologique de cet habitat sensible. Enfin, nous avons caractérisé la structure 3D des récifs coralligènes à partir de leurs reconstructions photogrammétriques et étudié les liens avec la structuration des assemblages qui les composent. Ce travail de thèse a permis de développer des méthodes opérationnelles, aujourd’hui intégrées aux réseaux de surveillance TEMPO et RECOR, et ouvre la voie à de futures recherches, notamment la caractérisation de l’activité biologique des récifs coralligènes grâce au couplage entre photogrammétrie, réseaux de neurones et acoustique sous-marine
In a context of climate change and the erosion of marine biodiversity, ecological monitoring of the most sensitive marine habitats is of paramount importance. In particular, there is a need for operational methods that enable decision-makers and managers to establish relevant conservation measures and to evaluate their effectiveness. TEMPO and RECOR are two monitoring networks focusing on Posidonia meadows and coralligenous reefs, the two richest and most sensitive habitats in the Mediterranean. The objective of this thesis is to meet the needs of effective monitoring of marine habitats by developing methods for assessing their health, based on two key image analysis methods: convolutional neural networks and photogrammetry. The results show that convolutional neural networks are capable of recognizing the main species of coralligenous assemblages in underwater photographs from RECOR, with a precision similar to that of an expert taxonomist. Furthermore, we have shown that photogrammetry can reproduce a marine habitat in three dimensions with a high degree of accuracy, sufficient for monitoring habitat structure and species distribution at a fine scale. Based on these reconstructions, we have developed a method for automatic mapping of Posidonia meadows, enabling temporal monitoring of the ecological quality of this sensitive habitat. Finally, we characterized the three-dimensional structure of coralligenous reefs based on their photogrammetric reconstructions and studied the links with the structuring of the assemblages that make them up. This PhD work has led to the development of operational methods that are now integrated into the TEMPO and RECOR monitoring networks. Results of this work paves the way for future research, in particular concerning characterization of the biological activity of coralligenous reefs thanks to the coupling of photogrammetry, neural networks and underwater acoustics

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Lamouret, Marie. "Traitement automatisés des données acoustiques issues de sondeurs multifaisceaux pour la cartographie des fonds marins". Electronic Thesis or Diss., Toulon, 2022. http://www.theses.fr/2022TOUL0002.

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Le sondeur multifaisceaux (SMF) est l'une des technologies d'acoustique sous-marine les plus avancées pour l'étude des fonds et de la colonne d'eau. Il requiert une réelle expertise pour son déploiement sur le terrain ainsi que pour l'élaboration de cartographies à partir des différentes données acquises. Ces traitements sont souvent chronophages en raison de la quantité de données acquises et demandent à être automatisés pour alléger le travail à l'hydrographe. C'est ce sur quoi portent les travaux réalisés durant cette thèse. Après des rappels sur des notions d'acoustique sous-marine, le fonctionnement du SMF est décrit et les types de données manipulées tout au long des traitements sont présentés. Le manuscrit s'articule ensuite autour de deux thématiques ˸ la cartographie bathymétrique et la cartographie biocénotique. Les développements sont intégrés dans les logiciels de l'entreprise Seaviews pour laquelle les travaux sont réalisés. Ils répondent à des besoins particuliers de l'entreprise.En ce qui concerne la cartographie bathymétrique, la donnée bathymétrique doit être préalablement triée pour écarter les sondes aberrantes et éviter qu'elles ne pénalisent la précision topographique. Ce tri d'innombrables sondes est une tâche que réalisent les hydrographes, assistés aujourd'hui d'outils numériques. Nous proposerons une méthode statistique rapide pour trier les sondes tout en réalisant une carte de profondeurs marines. Ce qui amène à se demander si les images de la colonne d'eau acquises également par le sondeur ne seraient pas exploitables pour déduire une bathymétrie exempte d'aberration. Nous testerons cette hypothèse à l'aide de l'apprentissage profond (deep learning) et en particulier par des réseaux de neurones convolutifs qui ont permis des progrès considérables en vision par ordinateur. La cartographie des habitats marins (les biocénoses) est un travail de classification de la nature des fonds à partir des données acoustiques du SMF en concordance avec les espèces vivant sur les lieux. La société Seaviews a développé une méthode de préparation des données SMF pour l'analyse des habitats. Nous nous orientons vers des méthodes de classification des habitats, à partir de ces données, par des techniques d'apprentissage automatique (machine learning). Plusieurs méthodes sont mises en place et testées, puis une zone d'étude est choisie pour évaluer et comparer les résultats des différentes approches
Among underwater acoustic technologies, multibeam echo sounder (MBES) is one of the most advanced tool to study and map the underwater floors and the above water column. Its deployment on-site requires expertise so as the whole data processing to map the information. These processing are very time-consuming due to the massive quantity of recorded data and thus needs to be automatised to shorten and alleviate the hydrographer's task. This PhD research works focus on the automatisation of the current activities in Seaviews society.After some reminders on the underwater acoustic sciences, the MBES operating is described as well the produced data that will be manipulated throughout the developments. This document presents two thematics˸ bathymetric (depths) and marine habitats mapping. The developments are integrated into the Seaviews' software in the aim to be used by all the employees.About seafloor depths mapping, the bathymetric sounding has to be sorted to avoid that the outlier errors distort the results. Sorting the uncountable measures is cumbersome but necessary, although the hydrographers are today happily computed-assisted. We propose a fast statistical method to exclude the outliers while mapping the information. This leads to wonder if the water column imagery would be workable to deduce the bathymetry without failure. We will test this hypothesis with some technics of deep learning, especially with convolutional neural networks.The marine habitats mapping is a seabed nature classification according to the local life. Seaviews has worked on a way to prepare MBES data and habitats analysis. Concerning the method of classification itself, we move towards machine learning technics. Several methods are implemented and assessed, and then an area is chosen to evaluate and compare the results

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Christensen, Ole. "SUSHIMAP (Survey strategy and methodology for marine habitat mapping)". Doctoral thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1916.

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Bathymetrical mapping performed using multibeam sonar systems is widely used in marine science and for habitat mapping. The incoherent part of the multibeam data, the backscatter data, is less commonly used. Automatic classification of processed backscatter has a correlates well with three sediment classes, defined as fine-(clay-silt), medium- (sand) and coarse- (gravel–till) grained substrates. This relation is used directly as a theme in a modified habitat classification scheme, while a more detailed substrate classification is incorporated as another theme. This theme requires a manual interpretation and comprehensive knowledge of the substrate. This can partly be obtained by a newly developed technique using the backscatter strength plotted against the grazing angle. These plots make it possible to determine the critical angle and thereby calculate the compressional acoustic speed in seabed sediments. Marching a theoretical modeled backscatter curve to the measured backscatter strength at lower grazing angles provides estimates of four additional geoacoustic parameters.

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PALIAGA, ENRICO MARIA. "Upper slope geomorphology of Sardinian southern continental margin, applications to habitat mapping supporting marine strategy". Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266760.

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This work, framed within the Marine Strategy Framework Directive, is focused on Sardinian southern continental margins marine habitat mapping. Aim of this thesis is to produce predictive marine habitat mapping, starting from a detailed geomorphologic study integrated with biological and oceanographic data coming both from original direct surveys than from bibliographic data. Underwater remotely operated vehicles (ROV), coupled with multibeam echo-sounder (MBES), enabled to perform interpretative hypothesis validation, controlled sampling and detailed observation of specific mesophotic habitats with noninvasive protocols, which are particularly relevant for habitats of conservation interest. Marine habitat mapping represents the best estimation of the distribution of habitats in a place and at a particular time, this goal have been focused on target biocoenosis A4.26 – “Mediterranean coralligenous communities moderately exposed to hydrodynamic action” and A4.713 – “Caves and overhangs with Corallium rubrum”, as defined by EUNIS classification (European Nature Information System), subsequently reunite under the name of Coralligenous Biocoenosis for the mapping of which has been reached a high level of confidence. Principal drivers for seabed habitat distributions include the type of seabed substrate, depth, light availability and the energy of water movements. For the very first time on Sardinian southern margin a multidisciplinary approach has been used to study the relationship between biotic and abiotic components of marine habitats and how seabed morphologic features influences different benthic biocoenosis development styles, geomorphologic characteristics of settlement for substrates could be important factors structuring benthic biodiversity, by affecting sediment accumulation rates, bottom currents and, ultimately, the rates of food supply. These biocoenosis hosts relevant commercially relevant species, as the blue and the giant red shrimp which represent the most important demersal resources for trawling fleet of Sardinia.

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Hogg, Oliver Thomas. "An integrated ecological and geophysical approach to habitat mapping and its application in marine conservation". Thesis, University of Southampton, 2018. https://eprints.soton.ac.uk/424752/.

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Global biodiversity is in decline, with the marine environment experiencing significant and increasing anthropogenic pressures. As a response, very large (105–106 km2) marine protected areas (MPAs) have become the dominant form of environmental protection in the marine environment. At present, however, paucity in scientific sampling makes prioritising which regions of the ocean to protect, especially over such large spatial scales, particularly problematic. One such very large MPA, covering an area of over 1 million Km2, is located at the sub-Antarctic South Georgia and South Sandwich Islands (SGSSI). This study uses the SGSSI MPA as a model system to assess the application of benthic habitat mapping as an evidence-based framework for the spatial prioritisation of marine conservation. This study presents an interdisciplinary methodology to marine landscape mapping, as a top-down, objective statistical approach to hierarchically partition and map the benthic environment into physical habitats types. Ordination analysis demonstrates a statistically significant relationship between environmentally-derived landscape mapping clusters and the composition of benthic species data from the region, thus attributing ecological relevance to the marine landscape map. Furthermore, this study adopts a bottom-up approach to habitat mapping, using an ensemble of habitat suitability models. Potential distributions are modelled for a range of benthic faunal attributes relevant to marine management, based on taxonomic classification, functional traits and vulnerability to disturbance. These modelled distributions are used to describe, for the first time, the bio-physical characteristics of SGSSI’s benthic environment. Synthesising both top-down and bottom-up approaches to habitat mapping, this study assesses the physical landscape clusters and modelled distribution results in relation to the spatial protection currently enforced at SGSSI. This synthesis addresses, (i) whether marine spatial planning in the region is representative in terms of the habitats and fauna it protects; and (ii) whether this interdisciplinary methodology at SGSSI can inform on MPA design and designation more universally, in what is an increasingly exploited, yet still poorly understood marine environment.

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Libros sobre el tema "Marine habitats mapping"

Center for Coastal Environmental Health and Biomolecular Research (U.S.), ed. Integration of fisheries acoustics surveys and bathymetric mapping to characterize midwater-seafloor habitats of US Virgin Islands and Puerto Rico (2008-2010). Charleston, S.C: NOAA, National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Environmental Health and Biomolecular Research, 2011.

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Thrush, Simon. Development of mapping and monitoring strategies for soft-sediment habitats in marine reserves. Hamilton, N.Z: National Institutes of Water & Atmospheric Research, 2003.

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Trusel, Luke D., Guy R. Cochrane, Lisa Lowe Etherington y Larry A. Mayer. Marine benthic habitat mapping of Muir Inlet, Glacier Bay National Park and Preserve, Alaska with an evaluation of the coastal and marine ecological classification standard III. Reston, Va.]: U.S. Geological Survey, 2010.

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Greene, H. G. Mapping the seafloor for habitat characterization. St. John's, N.L: Geological Association of Canada, 2007.

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Clinton, Patrick J. A guide to mapping intertidal eelgrass and nonvegetated habitats in estuaries of the Pacific Northwest USA. Newport, OR: U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Western Ecology Division, 2007.

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Intelmann, Steven S. Survey report of NOAA Ship McArthur II cruises AR-04-04, AR-05-05 and AR-06-03: Habitat classification of side scan sonar imagery in support of deep-sea coral/sponge explorations at the Olympic Coast National Marine Sanctuary. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, National Marine Sanctuary Program, 2007.

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Intelmann, Steven S. Automated, objective texture segmentation of multibeam echosounder data: Seafloor survey and substrate maps from James Island to Ozette Lake, Washington outer coast. Silver Spring, Md: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Service, National Marine Sanctuary Program, 2007.

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Seafloor Geomorphology As Benthic Habitat Geohab Atlas Of Seafloor Geomorphic Features And Benthic Habitats. Elsevier, 2011.

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Reynolds, JR y HG Greene, eds. Marine Habitat Mapping Technology for Alaska. Alaska Sea Grant, University of Alaska Fairbanks, 2008. http://dx.doi.org/10.4027/mhmta.2008.

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Ferrari, Renata, Manuel Gonzalez-Rivero, Javier Xavier Leon, John H. R. Burns, Will F. Figueira, Stuart A. Sandin y Andrew J. Davies, eds. Advances in 3D Habitat Mapping of Marine Ecosystem Ecology and Conservation. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-485-5.

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Capítulos de libros sobre el tema "Marine habitats mapping"

Bekkby, Trine, Frithjof E. Moy, Heidi Olsen, Eli Rinde, Torjan Bodvin, Reidulv Bøe, Henning Steen et al. "The Norwegian Programme for Mapping of Marine Habitats - Providing Knowledge and Maps for ICZMP". En Global Challenges in Integrated Coastal Zone Management, 19–30. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118496480.ch2.

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Jarvis, Charlotte. "Conclusion: Looking Forward". En SpringerBriefs in Archaeology, 107–9. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57953-0_9.

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AbstractThe case studies presented in this volume offer a compelling look at the damage caused to many forms of Underwater Cultural Heritage (UCH) by bottom trawling and other mobile fishing gear, as well as provide some suggestions to protect this vital Ocean Heritage resource for future generations. The authors from Stellwagen Bank National Marine Sanctuary (Chap. 6, this volume) highlight their new Sanctuary Mapping Initiative which works with fishers to ‘to conduct side-scan sonar surveys to locate and document shipwrecks and characterise seafloor habitats’. It is a promising step forward and can help to show fishers in other waters the shared natural and cultural importance to shipwrecks and highlight the need for protection of seabed heritage.

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MacLeod, Colin D., Laura Mandleberg, Caroline Schweder, Sarah M. Bannon y Graham J. Pierce. "A comparison of approaches for modelling the occurrence of marine animals". En Essential Fish Habitat Mapping in the Mediterranean, 21–32. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9141-4_3.

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Fernandes, Ricardo N. y Vasilis D. Valavanis. "A GIS-based tool for storage, selection and visualization of time series 4D marine datasets". En Essential Fish Habitat Mapping in the Mediterranean, 297–300. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9141-4_22.

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Argentino, Claudio, Alessandra Savini y Giuliana Panieri. "Integrating Fine-Scale Habitat Mapping and Pore Water Analysis in Cold Seep Research: A Case Study from the SW Barents Sea". En World Atlas of Submarine Gas Hydrates in Continental Margins, 505–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81186-0_43.

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Reed, John K., Andrew N. Shepard, Christopher C. Koenig, Kathryn M. Scanlon y R. Grant Gilmore. "Mapping, habitat characterization, and fish surveys of the deep-water Oculina coral reef Marine Protected Area: a review of historical and current research". En Cold-Water Corals and Ecosystems, 443–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27673-4_22.

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"Benthic Habitats and the Effects of Fishing". En Benthic Habitats and the Effects of Fishing, editado por W. Waldo Wakefield, Curt E. Whitmire, Julia E. R. Clemons y Brian N. Tissot. American Fisheries Society, 2005. http://dx.doi.org/10.47886/9781888569605.ch10.

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Abstract. Traditionally, estimates of the distribution and abundance of exploited groundfish species and their associated habitats are based on fishery-dependent sampling of catch and fishery-independent survey data using fishing gears such as trawls and a variety of fixed gears. Survey data are often collected as individual samples integrated over a scale of kilometers, compiled at a larger geographic scale (100 km), and extrapolated to an overall estimate of stock size. Considerations of the nonextractive effects of fishing on habitat are extremely limited. Within the past 15 years, a number of collaborations have developed among marine ecologists, fisheries scientists, and marine geologists hallmarked by an integration of sonar mapping of the seafloor with ground-truthing (verification of type of substratum) and direct observation and enumeration of fish and invertebrate populations in the context of their seafloor habitat. An example of such work, targeting a 725-km2, deepwater, rocky bank from the Oregon continental margin, Heceta Bank, is chronicled in this review. The approaches that have been applied to characterize groundfish–habitat relationships in this region have evolved from stand-alone, human-occupied submersible observations to fully interdisciplinary programs employing the most advanced technologies available to marine research. The combination of multibeam swath mapping sonars and accurate geographic positioning systems has enhanced mapping the seafloor and benthic habitats. The challenge now is to efficiently relate small-scale observations and assessments of animal–habitat associations to the large geographic scales on which fisheries operate. Large-scale benthic habitat characterization at appropriate scales is critical to the accurate assessment of fish stocks on a spatial scale pertinent to fisheries and those natural physical and biological processes and anthropogenic disturbances (e.g., fishing gear impacts) that influence them.

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"Benthic Habitats and the Effects of Fishing". En Benthic Habitats and the Effects of Fishing, editado por K. A. Madley. American Fisheries Society, 2005. http://dx.doi.org/10.47886/9781888569605.ch29.

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A standard, benthic habitat classification system for Florida does not exist. Over fourteen different classification systems have been used with Florida mapping projects to date. This is problematic for efforts to compile statewide habitat area estimates, produce habitat maps for the entire state, or compare habitats across regions. Implementation of a standardized classification system will be a large step toward more reliable characterization of Florida seafloor habitats. The Florida Marine Research Institute has studied the classification systems used throughout Florida and the tropics and subtropics as well as successful efforts in terrestrial habitat characterization. The goal has been to combine appropriate components of a variety of systems to form a hierarchical classification system to propose as a strawman for further testing in Florida. We have formed this scheme with guidance from the Allee et al. 2000 NOAA Technical Memorandum for the purpose of creating a habitat characterization system compatible with the forthcoming national classification system. The Gulf of Mexico program has interest in eventually expanding the Florida classification system to encompass habitats for all of the Gulf states. The goal would then be to coordinate adoption of this classification system to be used by all mapping agencies involved with Gulf of Mexico habitat classification. This would enhance fishery habitat comparisons among Gulf states thus assisting fishery and habitat resource managers.

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"Benthic Habitats and the Effects of Fishing". En Benthic Habitats and the Effects of Fishing, editado por R. A. PICKRILL y B. J. TODD. American Fisheries Society, 2005. http://dx.doi.org/10.47886/9781888569605.ch30.

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Multibeam sea floor mapping technologies have provided the capability to accurately, and cost effectively, image large areas of the seabed. Imagery provides base maps of sea floor topography from which targeted surveys can be planned to map sea floor sediments and associated benthic communities. Over the last five years extensive multi-disciplinary surveys have been carried out on Browns, German and Georges Banks. The government of Canada entered into a partnership with the scallop industry to map bathymetry, surficial sediments and benthic communities. The new knowledge has been used by industry, and has implications for fisheries management. Associations between substrate type and benthic community composition have enabled precise maps of scallop habitat to be produced and links between scallop abundance and substrate to be established. The environmental and economic benefits have been immediate, with reduced effort to catch set quota, less bottom disturbance, and containment of fishing activity to known scallop grounds. Stock assessments and management practices are improved. Other pilot projects in Atlantic Canada and the northeastern USA have demonstrated the value of integrated sea floor mapping in designating marine protected areas (The Gully, Stellwagen Bank), in identifying offshore hazards such as landslides, in siting offshore structures, cables and pipelines, and in addressing environmental issues such as the routing of outfalls and disposal of dredge materials. In recognition of the power of these new tools and digital map products, Canada is considering development of a national mapping strategy to provide the foundation for sustainable ocean management in the 21st century.

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"Fish Habitat: Essential Fish Habitat and Rehabilitation". En Fish Habitat: Essential Fish Habitat and Rehabilitation, editado por Richard E. Gutting. American Fisheries Society, 1999. http://dx.doi.org/10.47886/9781888569124.ch4.

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Abstract .—Food production in the United States from ocean fisheries is leveling off after impressive growth in the 1970s and 1980s. Fishery officials project further gains through more effective regulation of harvests and reduced discarding of catch. In the longer term, however, the most important opportunity to boost production involves rehabilitating fishery habitats that have been damaged or lost because of poor management. Many thousand tons of additional seafood production can be “unlocked” for fishermen and consumers if habitats are restored. Changes in 1996 to the Magnuson- Stevens Fishery Conservation and Management Act (the Magnuson-Stevens Act) call for the mapping of these habitats and the inclusion of habitat concerns in fishery management planning. These new requirements, if properly implemented, will help focus the attention of fishermen and seafood consumers on what is being lost and what needs to be done to restore productivity. Although these requirements are a good first step, the rules and guidance for the new essential fish habitat (EFH) provisions are fundamentally flawed. For example, the rules to implement EFH provisions muddle the Magnuson-Stevens Act’s definition of EFH with numerous references to prey species and vague ecological ideas. Especially troubling is the introduction by the National Marine Fisheries Service through the rules of the concept of “contribution to a healthy ecosystem” as an apparent standard for delineating necessary amounts of EFH. In addition, it is important to remember that competition among fishing fleets is fierce, and the promise of these new habitat requirements could be lost if habitat concerns become enmeshed in the ongoing political battles for harvest allocations.

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Actas de conferencias sobre el tema "Marine habitats mapping"

Jordan, Alan, Peter Davies, Tim Ingleton, Edwina Mesley, Joe Neilson y Tim Pritchard. "Developments in mapping of seabed habitats for Marine Protected Area planning and monitoring". En OCEANS 2010 IEEE - Sydney. IEEE, 2010. http://dx.doi.org/10.1109/oceanssyd.2010.5603890.

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BLONDEL, PH, M. PRAMPOLINI y F. FOGLINI. "ACOUSTIC TEXTURES AND MULTIBEAM MAPPING OF SHALLOW MARINE HABITATS EXAMPLES FROM EASTERN MALTA". En SEABED AND SEDIMENT ACOUSTICS 2015. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/16064.

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Dierssen, Heidi M. "Overview of hyperspectral remote sensing for mapping marine benthic habitats from airborne and underwater sensors". En SPIE Optical Engineering + Applications, editado por Pantazis Mouroulis y Thomas S. Pagano. SPIE, 2013. http://dx.doi.org/10.1117/12.2026529.

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Doolittle, Daniel, Eric Swanson, Craig Scherschel, Eugene Revelas, Kathryn Rovang y Stephen Varnell. "Integrated and Adaptable Approach to Mapping Benthic Habitats to Support Offshore Wind Development off the Mid-Atlantic Outer Continental Shelf". En Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32390-ms.

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Abstract Offshore wind developers obtain extensive geophysical, geotechnical, and habitat data during Site Characterization activities. Integration and delivery of this information to a diverse group of stakeholders and Government agencies is required. We present an integrated benthic habitat mapping approach tailored to regional geology and ground conditions and discuss how various data was utilized to deliver multiple components of the permitting process. Multiple data sets were integrated and presented via a web-based GIS platform to aid delivery, visualization, and communication. Our unified approach to benthic habitat mapping and delivery of products to stakeholders was instrumental in successfully coalescing multiple performers to develop their individual deliverables in a cohesive and rapid manner. This approach reduced risk to schedule and budget, without sacrificing data density or quality. Four annual (2019–2022) benthic surveys were acquired to support Site Characterization and subsequent permitting processes. High-Resolution Geophysical data were collected concomitantly with the 2020 benthic survey data and used to refine subsequent 2021 and 2022 benthic survey designs. Benthic survey data consisted of grab sample tests (grain size), macrofaunal taxonomy, sediment profile and plan view imagery (SPI-PV), video imagery from each grab station, and towed video transects. Acoustic data products were processed and interpreted to create polygons of seafloor sediment coverage over the ASOW study area and ground-truthed with physical sampling, video, and digital still imagery to refine and validate acoustic data into a mappable model of essential fish and benthic habitats. Seafloor morphology and seabed sediment interpretations were coalesced into a benthic habitat model that displayed substrates consisting mostly of mobile sand sheets, with interspersed areas of gravelly sand and discrete patches of gravel. Overlying the substrate model was a range of benthic features and morphologies, including sand ridges, sand waves, megaripples, ripples, areas of depressional marks, hummocky seafloor, interbedded surficial sediments, irregular seafloor, and localized relief features. From these data, classified maps of Coastal Marine Ecological Standard (CMECS) substrates and fish habitats were made. Additional CMECS classification of benthic biotic components were mapped, showing the taxonomic communities that are present in each substrate. Seabed sediment modeling and morphological trends were dynamically studied and compiled into an interpreted and GIS-friendly dataset that enabled rapid online transfer to subject matter experts tasked with quantifying the benthic ecosystem across the development area. The methods and modeling that were produced by expert refinement of geophysical data to reflect the physically observed habitat structures allowed for dynamic minimum mapping unit variability while also isolating and identifying key areas of interest for benthic researchers and regulators. This mapping process led to an efficient and unified approach for all teams, saving project time and expense.

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Revelas, Eugene Charles, Brandon Steven Sackmann, Norman Michael Maher y Craig Alexander Jones. "Mapping of Benthic Habitats at Marine Renewable Energy Sites Using Multibeam Echosounder and Sediment Profile Imaging Technologies". En Offshore Technology Conference. Offshore Technology Conference, 2020. http://dx.doi.org/10.4043/30733-ms.

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Raber, George T. y Steven R. Schill. "A low-cost small unmanned surface vehicle (sUSV) for very high-resolution mapping and monitoring of shallow marine habitats". En Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, editado por Charles R. Bostater, Xavier Neyt y Françoise Viallefont-Robinet. SPIE, 2019. http://dx.doi.org/10.1117/12.2531361.

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Galceran, E. y M. Carreras. "Coverage path planning for marine habitat mapping". En OCEANS 2012. IEEE, 2012. http://dx.doi.org/10.1109/oceans.2012.6404907.

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Lima, Keila, Jose Pinto, Vasco Ferreira, Barbara Ferreira, Andre Diegues, Manuel Ribeiro y Joao Borges de Sousa. "Comprehensive Habitat Mapping of a Littoral Marine Park". En OCEANS 2019 - Marseille. IEEE, 2019. http://dx.doi.org/10.1109/oceanse.2019.8867074.

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McWilliams, S., J. Roberts, C. A. Jones, T. R. Nelson, C. Chartrand y S. Olson. "Site Investigation and Risk Evaluation Using the Spatial Environmental Assessment Toolkit". En Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35225-ms.

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Abstract Presently, marine energy (ME) deployments are absorbing unsustainable costs and timelines associated with planning and permitting to get projects in the water (up to 25% of total project cost, which is more than double comparable offshore energy projects at approximately 10% of total project costs; Kramer et al. 2020; Peplinski et al. 2021). To overcome this challenge, the Spatial Environmental Assessment Toolkit (SEAT) is in development to provide the highest-quality site characterization and a priori understanding of the potential environmental impacts using numerical modeling tools and available site data to reduce uncertainty. Reduced uncertainty equates to a reduction in resources required for planning and environmental permitting and a more streamlined path to realized commercial-scale projects. In this work, numerical modeling and mapping tools are linked together within SEAT to assess ecosystem impacts due to marine energy installations and evaluate optimal ME array layouts based on meaningful site and ME device physics. Of utmost importance is the ability of ME developers, regulators, and stakeholders to develop ME array layouts that maximize energy production, support environmental benefits and Powering the Blue Economy applications (e.g., coastal resiliency, desalination), and minimize potential undesirable environmental effects. The SEAT is an open-source graphical user interface (GUI) that aggregates numerical model results and spatial receptor data to evaluate the potential risk of change and subsequent impact on the environment being developed for ME. The numerical models can represent the presence of wave, tidal, or river energy converters in their respective environments and evaluate device and array generated site changes in hydrodynamics (e.g., wave fields, water currents), sediment and larval dynamics (e.g., benthic, spawning habitats), and propagation of new acoustic signals (e.g., hearing thresholds). The toolkit of linked models and site-specific receptors will ultimately allow developers to determine optimal designs for MRE deployments that maximize power performance and benefits from changes that promote project resiliency while minimizing the potential for unwanted environmental effects. The SEAT is an integrated communication tool with which regulatory agencies, stakeholders, and industry developers can effectively evaluate the complex information required for the permitting process thereby reducing the time and costs associated with the process.

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Al-AbdulKader, K. A., W. H. Farrand y J. S. Blundell. "Marine Habitat Mapping Using High Spatial Resolution Multispectral Satellite Data". En SPE International Conference on Health, Safety and Environment in Oil and Gas Exploration and Production. Society of Petroleum Engineers, 2002. http://dx.doi.org/10.2118/74026-ms.

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Informes sobre el tema "Marine habitats mapping"

Ierodiaconou, D., S. Murfitt, B. Allan, A. Bellgrove, A. Rattray, D. Kennedy, S. Howe, A. Schimel y M. Young. Applications of unmanned aerial vehicles for mapping coastal processes and intertidal marine habitats. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305860.

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Schiele, K. S., A. Darr, R. Pesch, B. Schuchardt y C. Kuhmann. Habitat mapping towards an ecosystem approach in marine spatial planning. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305926.

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Borrelli, M., E. Shumchenia, C. G. Kennedy, B. A. Oakley, J B Hubeny, H. Love, T L Smith et al. Submerged marine habitat mapping, Cape Cod National Seashore: a post-Hurricane Sandy study. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305420.

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Woodruff, Dana L., Paul J. Farley, Amy B. Borde, John A. Southard y Ronald M. Thom. King County Nearshore Habitat Mapping Data Report: Picnic Point to Shilshole Bay Marina. Office of Scientific and Technical Information (OSTI), diciembre de 2000. http://dx.doi.org/10.2172/877099.

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Lucatelli, D., J. M. R. Camargo, C. J. Brown, J. F. Souza-Filho, E. Guedes-Silva y T. C. M. Araújo. Marine geodiversity of northeastern Brazil: a step towards benthic habitat mapping in Pernambuco Continental Shelf. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305889.

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Novaczek, E., B. Proudfoot, V. Howse, C. Pretty, R. Devillers, E. Edinger y A. Copeland. From single-species to biodiversity conservation? Habitat mapping and biodiversity analysis of the Eastport Marine Protected Area, Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305908.

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Hommeyer, M., S. Grasty, C. Lembke, S. Locker, J. Brizzolara, J. Gray, E. Hughes, A. Ilich y S. Murawski. Mapping benthic habitat and fish populations on the West Florida Shelf: integration of marine acoustics and towed video technologies. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305859.

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