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Poster Introduction Winchester 2016 Technological advances in habitat mapping Winchester 2016 #1 Marine Geobigdata Processing and Seabed Characterisation Using IQmulus European Platform Touria Bajjouk on behalf IQmulus project team Aims at the development of an infrastructure and platform for the integration, fusion, processing and visualization of very large and highly heterogeneous spatial data sets that will support decision-making processing. LAND URBAN MARINE IQmulus Marine Showcases Functionalities ©SeaZone Bathymetric Data Deconfliction Http://www.iqmulus.eu DEM Generation and Change Detection Lidar Full Waveform Processing #2 Joana Gafeira, Diego Diaz-Doce and David Long Innangi S.(*), Tonielli R.(*), Bonanno A(**), Innangi M.(°) (*) Istituto per l’Ambiente Marino Costiero, IAMC-CNR Sede, Napoli, Italy (**) Istituto per l’Ambiente Marino Costiero, IAMC-CNR UO Capo Granitola, TorrettaGranitola, Mazara, Italy (°) Dipartimento di Scienze e Tecnologie Ambientali, Biologiche e Farmaceutiche, Seconda Università di Napoli, Caserta, Italy. #4 Hanging Gardens: Vertical walls from images to fine-scale 3D reconstruction Katleen Robert, Veerle Huvenne, Claudio Lo Iacono, Russell Wynn, Leigh Marsh and Aggeliki Georgiopoulou Photogrammetry (Structure from Motion) Forward mounted ROV MBES SfM 3D Reconstruction – Rockall Bank #5 Quantitative analysis of mini-mounds from the Explorer and Dangeard canyons area: an automated approach Explorer Province Dangeard Province • • • An ArcGIS Tool Box created (BGS Seabed Mapping Tool). Used to recognise, delineate and characterise morphometrically sea-bed mounds. • Time-efficient approach provides unbiased and accurate mapping methodology and enables quantitative analyses of potentially vast numbers of features. 818 mounds mapped in Explorer province. 2044 mounds mapped in Joana Gafeira [email protected] Dangeard province. Heather Stewart [email protected] Coastal and shallow water habitats Winchester 2016 #7 Variation in Rocky Reef Habitat in California State Waters Guy R. Cochrane About a fourth of the California Seafloor Mapping Program data has been analyzed and published. We can now compare habitat in diverse areas of the California mainland waters. The area of rocky reef habitat in Northern California, is over an order of magnitude greater than the area of rocky reef in the Santa Barbara area of Southern California. This is likely due to the local tectonics and wave energy. Strike slip tectonics control the structure of the Northern California waters whereas in the Santa Barbara area the tectonics are compressive. Wave energy is higher along the Northern California coast Black Bream Nest Identification – A Habitat Mapping Case Study #8 11 Sam Drawbridge www.fugro.com #9 James Duffy Drones & cameras Submerged aquatic vegetation & turtles Benthic habitat mapping for the nearshore ecological monitoring of Dokdo (Dok island) in the East Sea (Sea of Japan) Dr. Chang Hwan Kim Detailed bathymetry + Sonar Image #13 Benthic habitat Seabed condition analysis Detailed bathymetry + Underwater Camera Image Analysis for monitoring of the population of sea urchin and macroalgae based on seabed image Quantitative and Effective Benthic habitat mapping for the nearshore ecological monitoring High-resolution underwater composite photograph image maps are draped on the detailed bathymetry #14 #16 Seafloor mapping of Frobisher Bay, Baffin Island, Canadian Arctic Archipelago Brian J. Todd1, John Shaw1, D. Calvin Campbell1 and David J. Mate2 1. Geological Survey of Canada (Atlantic), P.O. Box 1006, Dartmouth, Nova Scotia, Canada B2Y 4A2 2. Canadian Northern Economic Development Agency, P.O. Box 40, Iqaluit, Nunavut, Canada X0A 0H0 • Logistically challenging to survey/sample in this macrotidal Arctic environment • Rugged and rocky seafloor shaped by ice streams in the last glacial period Shelf and deep-sea habitats Winchester 2016 #17 Spatial Transferability of Species Distribution Models in the Deep Sea #18 Chloe Game • Species distribution modelling is an important and recurring tool in conservation of deep sea habitats and resource management. • The ability of these models to accurately predict species occurrence outside of the model calibration region is less studied • Focus on vulnerable marine ecosystems including cold-water coral reefs, sponge grounds and xenophyophores Lophelia pertusa reef summit Stylasterid corals and lobose sponges Xenophyophore, Syringammina fragellisima Object Based Image Analysis of bioclastic mounds for ecosystembased ocean management #19 A. Jarna1 , N.J. Baeten1, T. Thorsnes1, L. Bjarnadottir1, M. Dolan1, M. Diesing2 1 DATA Study area (2) Sula Reef Geological Survey of Norway (NGU), 2 Centre for Environment Fisheries and Aquaculture Science (CEFAS) [email protected] CLASSIFICATION Study areas: •Aktivneset area (1) •Sula Reef (2) 2 1 Bathymery Backscatter EXPORT BPI10 Curvature BPI20 Smooted polygons .shp Slope 0 1 2 km #20 #21 Fine Scale Mapping and The Edge Effect: Distributions of Benthic Fauna in an Antarctic Hydrothermal Vent Field Virginia Russell - Does the Edge Effect occur at Hydrothermal Vents? - What are the key environmental factors that determine distributions of fauna? - What implications does this have on future exploitation of vents? - #22 The role of food input in shaping biodiversity patterns in benthic seamount habitats across the Equatorial Atlantic Lissette Victorero, Sian Henley, Michelle Taylor, Laura Robinson , Jon Copley and Veerle Huvenne • Seamounts • Particulate Organic Carbon Food input • How to incorporate food input into benthic spatial habitat models? #24 National mapping program management and data-sharing Winchester 2016 Harmonising sediment mapping on the Norwegian Shelf Challenges and some solutions #25 Valérie Bellec*, Nicole Baeten*, Heidi Olsen*, Liv Plassen*, Dag Ottesen*, Margaret Dolan*, Lilja Rún Bjarnadóttir*, Reidulv Bøe*, Aave Lepland*, Terje Thorsnes* * Geological Survey of Norway (NGU), Trondheim. [email protected] Some challenges and solutions: 1- Different multibeam (MBB) and single beams systems (mostly Em1002, EM300/302, EM710, EM2040 and Olex single beam), Good understanding of MBB systems, learn how seafloor geomorphology gives indications about grain-size. EM710 2- Different interpreters at different years: presently 5 interpreters mapping adjacent areas, Semi-automatic classifications such as object-based and angular response analysis to produce more objective maps. 3- Use of MBB with lower quality (different origins: industry, hydrographic services), and delay between multibeam acquisition and ground-truthing (up to 20 years), Ground-truthing closer to MBB acquisition, understand sediment dynamic. OlexSingle beam EM710 #26 Compiling data on seabed substrates and sedimentation rates from Europe - EMODnet Kaskela, Kotilainen, Alanen, Stevenson & EMODnet Geology partners: Geology The EMODnet -Geology project has collected and combined geological information at a scale of 1:250000 from all European sea areas. Here we will present some of the outputs of the project: the combined seabed substrate data and the sedimentation rate data. #27 #28 #30 genesis Guideline for standardized seafloor mapping in the German Exclusive Economic Zone (EEZ) Claudia Propp et al. How to create a realistic map of the heterogenous seafloor? Bring most information possible into one map! It should be reproducible!? Do it in a standardized way! see our guideline #31 Alan Stevenson (British Geological Survey) and many others. The integration of seabed mapping information in the UK, Europe and recent trans-Atlantic collaboration. • UK Marine Environmental Mapping Programme (MAREMAP); • European Marine Observation and Data Network (EMODnet); • Towards an Atlantic seabed mapping strategy (Atlantic Ocean Research Alliance) – Leveraging existing ocean exploration knowledge, infrastructure and programmes Methods for creating a broad-scale map of seabed habitats Mickaël Vasquez, on behalf of the EMODnet Seabed habitats consortium Central to EMODnet Seabed habitats is the production of a broad-scale map of seabed habitats for all the European basins. A broad-scale seabed habitat map typically describes the environmental conditions that occur at the seabed that are known to influence the distribution of plant and/or animal communities . The poster illustrates the method using the example of the Black Sea #32 A broad-scale habitat map is, in its basic form, a combination of two key categorical layers: seabed substrate types and biological zones. In the Black Sea, an additional categorical layer also comes into play: the oxygen regimes. The seabed substrate layer is provided by EMODnet Geology. The biological zone and oxygen regime layers are produced by overlaying oceanography data layers that are compiled from fundamental physical parameters in the basin (i.e. bathymetry, light, temperature, and density). The entire workflow is carried out with the use of Geographical Information System (GIS) techniques. #33 Anthropogenic and natural disturbance effects on marine habitats Winchester 2016 #34 #34 Predictive models of Vulnerable Marine Ecosystem (VME) indicator species biomass distribution – including the effects of fishing activity Potential biomass Current Anna-Leena Downie et al. Fishin g Relative Biomass Without Fishing ASSESSMENT Mean curren t 2000 Predicted… PREDICTION % Clay Random Forest model 1500 1000 500 0 Clos ed Fish ed Othe r Sponges… #38 Disturbance in the deep: a model for ecological succession in the deep sea Leigh Marsh , Steve Carey , Peter Talling 1,3 1 University 2 3 of Southampton 2 Ocean Exploration Trust 3 National Oceanography Centre, Southampton Using Vessel Monitoring System (VMS) data to investigate pressure-state relationships in offshore MPAs Tammy Noble-James • JNCC & Cefas have used gridded pressure layers to investigate effects of abrasion on benthic assemblages. • This poster presents key results from studies conducted at two offshore MPAs: - Dogger Bank Site of Community Importance #39 - Central Fladen Nature Conservation MPA © JNCC & Cefas Role of oceanography in habitat mapping Winchester 2016 Deep-sea habitats and dense shelfwater formation: #40 a fragile climate-dependent relation studied from geomorphological signatures David Amblas, Scott Polar Research Institute – Univ. of Cambridge, UK ([email protected]) Miquel Canals, CRG Marine Geosciences – Univ. of Barcelona, Spain Julian A. Dowdeswell, Scott Polar Research Institute – Univ. of Cambridge, UK Anna Sanchez-Vidal, CRG Marine Geosciences – Univ. of Barcelona, Spain Ricardo Silva Jacinto, Lab. Environnements Sédimentaires – IFREMER, France This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 658358 #41 Cold-water coral ecosystems in Cassidaigne Canyon: an assessment of their potential distribution Marie-Claire Fabri , Annaelle Bargain , Ivane Pairaud , Laura Pedel Where: South of France Environmental living conditions : Terrain parameters Species: Cold-water coral Madrepora oculata Habitat Suitability Models -ENFA -MaxEnt -GLM Hydrodynamic parameters Predictive habitat modeling of Cold Water Coral Distribution in the Bari Canyon (Adriatic Sea) with Hydrodynamic variables #42 Federica Foglini, Annaëlle BARGAIN, Lorenzo Angeletti, Davide Bonaldo, Marco Taviani EGVs Variables CWC Occurences Hydrodynamic Variables Model Output MAXENT ENFA GLM Use of ADELIE-SIG (Ifremer) on video transects and digital images Development of standards for classification, confidence and assessment of habitat maps Winchester 2016 #43 Quantitative prediction of grain size Interpolated rasters Low-coverage MBES data #44 #45 Comparison of Supervised and Unsupervised Benthic Habitat Classifications: Case Study from the Belgian Continental Shelf Montereale Gavazzi, G.,(1,2) Roche, M.,(4) Lurton, X.,(3) Van Lancker, V.,(1,2) 1, RBINS OD-Nature (Brussels, BE). 2, UGent-RCMG (Gent, BE). 3, IFREMER (Brest, FR). 4, FPS Economy (Brussels, BE) 1) – Supervised classification 2) – Comparison with unsupervised model BHM Routine Quantity & allocation > Belgian State committed to > Seafloor Integrity > Monitoring > Combination of Trends and transitions Acoustics and Ground Truth Data: Study area Ref.2 Ref.3 Ref.4 The areal extent and distribution of EUNIS level 3 Habitats, as well as of the gravel beds, remain within the margin of uncertainty of the sediment distribution, with reference to the Initial Assessment, and The ratio of the hard (‘gravel’) to fine (‘sand’) substrate surface area must not show a negative trend. Attention is focussed here on Smothering, Abrasion and Loss of habitats. Overall fS mS+bio cS+G Difference 9.79 1.52 9.78 8.28 Allocation 9.37 1.1 9.47 8.16 Quantity 0.42 0.42 0.31 0.12 4) – Observed patterns? 3) – Change detection MSFD Differences/class Preliminary results likely point to a smothering process. Further monitoring is important, since it is a major cause of irreversible habitat loss, impeding bentho-pelagic coupling, bio-encrustation and ecological successional phases to occur. Dive 2008 ROV/2015 Mapping for Management and Conservation of Marine Habitats. Lough, N., Robinson, K., Ramsay, K. & Tavner, D. • Brief introduction to NRW • Two case studies (Seagrass mapping and UKHO Multibeam data) • Reasons and the importance of marine mapping to NRW #46 AN ILLUSTRATED GLOSSARY FOR EUROPEAN COLD-WATER CORAL HABITAT CHARACTERIZATION 1 2 Vertino A.V.1,3, Beuck L.2, Savini A. 1, Guillaumont B.4, Van den Beld I.4, Corselli C.1, Freiwald A.3, Grehan A.5 & the CoralFISH members 3 4 5 #47 Ecosystem based management of corals, fish and fisheries in the deep waters of Europe and beyond Standardization of CWC habitat classification and terminology to enhance communication (1) among scientists from different research fields (geologists, biologists,oceanographers etc.) (2) between scientists and decision makers © ROV images: Belgica 09/14c RCMG (upper left), JAGO Team GEOMAR Kiel (upper right), M70-1_2006 MARUM (middle left), Venture 2011 UCC (middle right, lower left) , Caracole IFREMER (lower right) #48 • biotopes are imaginary • species are hypotheses • focusing on immediate legislative targets may lead to poor science and adverse outcomes • there is an opportunity to develop new approaches to adequately address these complex socio-scientific problems #49 2016 Habitat mapping of VMEs along the inner shelf regions of the south-western Tyrrhenian margin (southern Mediterranean ): a geo-statistical predictive approach. Zizzo E.1, Sulli A.1, Agate M.1, Lo Iacono C.2 1 Department of Earth and Marine Sciences, University of Palermo, Via Archirafi 22, 90123 Palermo, Italy 2 National Oceanography Centre, European Way, SO14 3ZH Southampton, UK . Predicted habitat mapping of Posidonia oceanica Predicted habitat mapping of Cymodocea nodosa Predicted habitat mapping of Coralligenous The Remote Coast: Baseline Mapping in Preparation for Arctic Coastal Disasters After the event is too late Integrated Remote Sensing Approach to Address Baseline Mapping 51 www.fugro.com