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617 results for “Reef island”
Determinants of Reef Fish Assemblages on Tropical Oceanic Islands
<p><strong>ABSTRACT</strong></p> <p>Diversity patterns are determined by biogeographic, energetic, and anthropogenic factors, yet few studies have combined them into a large-scale framework in order to decouple and compare their relative effects on fish faunas. Using an empirical dataset derived from 1527 underwater visual censuses (UVC) at 18 oceanic islands (five different marine provinces), we determined the relative influence of such factors on reef fish species richness, functional dispersion, density and biomass estimated from each UVC unit. Species richness presented low variation but was high at large island sites. High functional dispersion, density, and biomass were found at islands with large local species pool and distance from nearest reef. Primary productivity positively affected fish richness, density and biomass confirming that more productive areas support larger populations, and higher biomass and richness on oceanic islands. Islands densely populated by humans had lower fish species richness and biomass reflecting anthropogenic effects. Species richness, functional dispersion, and biomass were positively related to distance from the mainland. Overall, species richness and fish density were mainly influenced by biogeographical and energetic factors, whereas functional dispersion and biomass were strongly influenced by anthropogenic factors. Our results extend previous hypotheses for different assemblage metrics estimated from empirical data and confirm the negative impact of humans on fish assemblages, highlighting the need for conservation of oceanic islands.</p> <p><strong><em>Keywords:</em></strong> species richness, functional dispersion, density, fish biomass, biogeographic factors, energetic factors, anthropogenic factors, marine provinces<em>.</em></p>
Figure 1 in Current status of coral reefs in Tioman Island, Peninsular Malaysia
Figure 1. Locations of 13 reef sites at Tioman Island, east coast area: Dalam Bay (E1), Benuang Bay (E2), Benuang (E3); west coast area: Genting Village (W1), Tomok Island (W2), Renggis Island (W3), Soyak Island (W4), Terdau Bay (W5); isolated area: Gado Bay (I1), Bayan Bay (I2), Tulai Bay (I3), Sepoi Island (I4), Labas Island (I5).
Figure 7 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 7. – Temporal variation in total species richness in three mangrove habitats for catches (A) and UVC (B).
Figure 3 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 3. – Size frequency distribution of the main species that contributed 59% of the total fish sampled by both methods. Dashed line indicates median value for each method.
Figure 4 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 4. – Relative abundance of the five trophic categories among the three mangrove habitats for fyke-net and visual census.
Figure 6 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 6. – Canonical redundancy analyses (RDA) of fish abundance, environmental variables and sampling months for catches (A) and UVC (B). Species are coded by the two first letters of name of genus and the three first letters of species, these codes are given in table I.
Figure 5 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 5. – Hierarchical clustering analysis showing the spatial repartition of 13 sampling months based on fish abundance data for both methods. Sites are coded according to their abbreviation followed by month number, beginning in April (1) and finishing in April again (13). Clusters are separated using Ward algorithm.
Figure 1 in Are mangroves important for reef fish on Mayotte Island (Indian Ocean)?
Figure 1. – Location of the three sampling sites in the lagoon along the eastern coast and south-western coast of Mayotte Island. The numbers refer to the text where further information is found to describe each location.
Рис. 1. Пункты сбора Staphylinidae на острове Беринга и острове Топорков. 1 – с. НикоΛьское; 2 – окрестности с. НикоΛьское, мыс ВхоΑной Риф; 3–4 – берег и пойма р. Гаванская; 5 – песчаные Αюны межΑу с. НикоΛьским и р. ΑоΑыгинская; 6 – окрестности Северо-ЗапаΑного Λежбища; 7 – Северное Λежбище; 8–9 – окрестности корΑона в бухте Старая Гавань; 10 – бухта Буян и пойма р. Буян; 11 – бухта ПоΛуΑенная, 12 – бухта ПоΑутесная; 13 – о. Топорков; 14 – окрестности аэропорта и поймы р. Каменка; 15 – бухта КоманΑор. Fig. 1. Localities of Staphylinidae on Bering and Toporkov islands. 1 – Nikolskoe vill.; 2 – vicinity of Nikolskoe vill., Cape Vkhodnoy Reef; 3–4 – coast and floodplain of Gavanskaya River; 5 – sand dunes between Nikolskoe vill. and Lodyginskaya River; 6 – vicinity of Northwest rookery; 7 – North rookery; 8–9 – vicinity of Staraya Gavan' Bay; 10 –Buyan Bay and floodplain of Buyan River; 11 – Poludennaya Bay; 12 – Podutesnaya Bay; 13 – Toporkov Island; 14 – vicinity of airport and floodplain of Kamenka River; 15 – Commander Bay. in Materials to the rove beetles fauna (Coleoptera: Staphylinidae) of the Commander Islands (Kamchatka Region, Russia)
Рис. 1. Пункты сбора Staphylinidae на острове Беринга и острове Топорков. 1 – с. НикоΛьское; 2 – окрестности с. НикоΛьское, мыс ВхоΑной Риф; 3–4 – берег и пойма р. Гаванская; 5 – песчаные Αюны межΑу с. НикоΛьским и р. ΑоΑыгинская; 6 – окрестности Северо-ЗапаΑного Λежбища; 7 – Северное Λежбище; 8–9 – окрестности корΑона в бухте Старая Гавань; 10 – бухта Буян и пойма р. Буян; 11 – бухта ПоΛуΑенная, 12 – бухта ПоΑутесная; 13 – о. Топорков; 14 – окрестности аэропорта и поймы р. Каменка; 15 – бухта КоманΑор. Fig. 1. Localities of Staphylinidae on Bering and Toporkov islands. 1 – Nikolskoe vill.; 2 – vicinity of Nikolskoe vill., Cape Vkhodnoy Reef; 3–4 – coast and floodplain of Gavanskaya River; 5 – sand dunes between Nikolskoe vill. and Lodyginskaya River; 6 – vicinity of Northwest rookery; 7 – North rookery; 8–9 – vicinity of Staraya Gavan' Bay; 10 –Buyan Bay and floodplain of Buyan River; 11 – Poludennaya Bay; 12 – Podutesnaya Bay; 13 – Toporkov Island; 14 – vicinity of airport and floodplain of Kamenka River; 15 – Commander Bay.
Linked collectors and determiners for: DNA barcoding the fishes of Lizard Island (Great Barrier Reef).
Natural history specimen data linked to collectors and determiners held within, "DNA barcoding the fishes of Lizard Island (Great Barrier Reef)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d03ce806-e16f-4cdb-a964-0b965523b908">https://bionomia.net/dataset/d03ce806-e16f-4cdb-a964-0b965523b908</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d03ce806-e16f-4cdb-a964-0b965523b908">https://gbif.org/dataset/d03ce806-e16f-4cdb-a964-0b965523b908</a>. Formatted as a Frictionless Data package.
Fig. 4 in Records Of The Hermit Crab Genus Pagurixus Melin, 1939 (Decapoda: Anomura: Paguridae) From Shallow Coral Reefs In The Panglao Islands, The Philippines, With Description Of A New Species
Fig. 4. Pagurixus spiniferore, new species, male (sl 1.4 mm), holotype, NMCR 39060, PANGLAO 2004, stn 23. A, right second pereopod, lateral view; B, same, dactylus, mesial view; C, same, carpus, mesial view; D, left third pereopod, lateral view; E, same, dactylus, mesial view; F, same, carpus, mesial view. Scale bars = 0.5 mm.
Fig. 3 in Records Of The Hermit Crab Genus Pagurixus Melin, 1939 (Decapoda: Anomura: Paguridae) From Shallow Coral Reefs In The Panglao Islands, The Philippines, With Description Of A New Species
Fig. 3. Pagurixus spiniferore, new species, male (sl 1.4 mm), holotype, NMCR 39060, PANGLAO 2004, stn 23. A, right chela, dorsal view; B, right cheliped, mesial view; C, same, lateral view; D, same, carpus, dorsal view; E, left chela, dorsal view; F, left cheliped, mesial view; G, same, lateral view; H, same, carpus, dorsal view. Scale bar = 0.5 mm.
Fig. 1. Pagurixus rubrovittatus Komai, 2010 in Records Of The Hermit Crab Genus Pagurixus Melin, 1939 (Decapoda: Anomura: Paguridae) From Shallow Coral Reefs In The Panglao Islands, The Philippines, With Description Of A New Species
Fig. 1. Pagurixus rubrovittatus Komai, 2010, male (sl 2.5 mm), ZRC 2012.0939, PANGLAO 2004, stn 32-12. Entire animal in dorsal view, showing colouration in life.
Fig. 2 in Records Of The Hermit Crab Genus Pagurixus Melin, 1939 (Decapoda: Anomura: Paguridae) From Shallow Coral Reefs In The Panglao Islands, The Philippines, With Description Of A New Species
Fig. 2. Pagurixus spiniferore, new species, male (sl 1.4 mm), holotype, NMCR 39060, PANGLAO 2004, stn 23. A, shield and cephalic appendages, dorsal view; B, ultimate segment and flagella of left antennule, lateral view; C, left fourth pereopod, lateral view; D, sixth thoracic sternite, ventral view; E, eighth thoracic sternite and coxae of fifth pereopods, ventral view; F, telson, dorsal view. Scale bars = 0.5 mm.
Data from: Detecting the effects of rapid tectonically-induced subsidence on Mayotte Island since 2018 on beach and reef morphology, and implications for coastal vulnerability to marine flooding
<p>This dataset contains data from the monitoring morphological evolution of beaches and coral reefs in Mayotte island. Mayotte, part of the coral reef-fringed Comoro archipelago in the SW Indian Ocean, experienced in 2018 and 2019 an intense seismic crisis. The repeated earthquake activity since May 2018 has been associated with deformation of the surface of Mayotte, resulting in land subsidence.</p> <p>The earlier 2006-2008 profiles were realized using a Leica TC 407® total station, and referenced to local IGN 50 benchmarks. The more recent 2019, 2020, and 2021 surveys were carried out using a GNSS differential Trimble R8S® system. Given the rapid subsidence that has affected Mayotte, the benchmarks used in this study, like others in Mayotte, need to be recalibrated by the IGN (French Institut Géographique National) and SHOM. This has still not yet been done, as the final outcome of the vertical island movements is still not clear.</p>
NOAA NCCOS Assessment: Agency priorities for mapping coral reef ecosystems in Guam and the Commonwealth of the Northern Mariana Islands, 2023-02-22 to 2023-06-12
<p>Description:<br> NOAA's Coral Reef Conservation Program (CRCP has identified a need for priority locations based on emerging management requirements in shallow coral reef areas (up to 40 meters) surrounding Guam and the Commonwealth of the Northern Mariana Islands (CNMI). The priorities provided by participating agencies will inform research and monitoring activities, address current and future management needs, and maximize opportunities to leverage and complement existing regional efforts.<br> To meet this need, NOAA’s National Centers for Coastal Ocean Science (NCCOS) developed a systematic, quantitative approach and online GIS application to gather seafloor mapping priorities from researchers and coral reef managers. Participants placed virtual coins into a grid overlaid on the project area to express the location of their mapping priorities. They also used pull-down menus to indicate specific mapping data needs and the rationale for their selections. Participants’ inputs were compiled and analyzed to identify high priority areas along with their justifications and requirements. A total of seven participant groups entered their mapping priorities into the online tool for Guam and ten participant groups for CNMI. Identifying these high priority areas provide a critical spatial framework for prioritizing mapping efforts in shallow coral reef ecosystems in Guam and CNMI.</p> <p>Purpose:<br> The overall goal of the project was to systematically gather and quantify suggestions for mapping needs to support management of shallow coral reef ecosystems along the coasts of the Guam and CNMI. This dataset supports these goals by compiling input from a diversity of regional experts on their recommended priorities for mapping data collection.</p> <p>Methods:<br> An advisory group was established which included individuals from NOAA CRCP and NOAA Fisheries. This advisory team customized the prioritization process specifically to meet the needs of CRCP and local coral reef manager priorities. In the online prioritization tool, the Guam study area was divided into 153 hexagonal grid cells 2.6 km2 in size. The CNMI study area was divided into 330 hexagonal grid cells 2.6 km2 in size. Existing relevant spatial datasets (e.g., bathymetry, Sanctuary Protection Areas, etc.) were provided as a digital atlas to help participants understand information and data gaps within the project area and to identify locations they wanted to prioritize for future data collections. Each Guam participant was provided with 50 virtual coins to place into grid cells that they wished to prioritize. Each CNMI participant was provided with 110 coins. They were instructed to place more coins in grid cells that were higher priorities. A maximum of 5 coins could be placed into an individual grid cell in Guam by each respondent, and a maximum of 11 coins could be place into an individual grid cell in CNMI. Respondents also<br> reported why these locations were important by selecting a minimum of one, and a maximum of two, management uses from the following list: endangered species management (e.g.,), habitat restoration, monitoring, coastal vulnerability planning, watershed management, fisheries management, consultations and permitting, emergency response, and spatial protection and management. Respondents also reported requirements of data were needed in priority cells. A minimum of one, to a maximum of two choices were selected from the following list: delineations of large topographic features, delineations of hard vs. soft bottom, models of habitat suitability for key taxa or communities, delineations of substrate type (e.g. sand, mud, coral, rock), models of presence/absence or density of corals, identification of coral species and their local environments, documentation of individual specimen condition. Coin values were summarized and mapped to identify high priority areas, reasons for those priorities, and information needs. This ESRI shapefiles contain the 2.6 km2 grid cells used in this prioritization and their associated coin values overall, as well as by management use, data product, and mapping methodology. Other summary values include the number of participants, number of participating groups, number of management uses, and number of data requirements. Additionally, coins for microscale (identification of coral species and their local environments and documentation of individual specimen condition), mesoscale (delineations of substrate type, models of presence/absence/density of corals), and regional (delineations of topographic features, delineations of hard vs. soft bottom, models of habitat suitability) requirements were summarized. Also included is a ranking of each grid cell based on the total number of coins, management uses, and participating groups allocating coins in the respective cell. For a complete description of the process and analysis see: Hile et al. 2023, in prep.</p>
Santa Barbara Channel Coastal and Island fish survey from the Reef Check, 2006-2017
The data were collected by the Reef Check organization: https://reefcheck.org/ Every year, Reef Check trains thousands of citizen scientist divers who volunteer to survey the health of coral reefs around the world, and rocky reef ecosystems along the entire coast of California. The programs monitor rocky reefs inside and outside of California's marine protected areas (MPAs). The results are used to improve the management of these critically important natural resources. The data presented here were a subset of the data that cover the Santa Barbara Channel region, southern California, USA.
Virgin Islands National Park: Coral Reef: Reference: Geography
This is a reference dataset containing the site locations, year established, and types of surveys.
Coastal Digital Elevation Models and Transects of the Reef Island Fuvahmulah, the Maldives
<p>The data contains <strong>two Digital Elevation Models</strong> (DEMs) of the coastal zone in the south-east of <strong>Fuvahmulah, the Maldives</strong> (location: latitude -0.30° and longitude 73.43°). DEM files are in the file format <em>*.tif</em> (raster data georeferenced to WGS84). The DEMs contain elevation data on the area adjacent to the seaport. One DEM was measured in 2017, the other in 2019. The 2017 DEM is based on aerial imagery, recorded with the consumer-grade unmanned aerial vehicle (UAV, or drone) DJI Phantom 4 in 2017, while the 2019 DEM was recorded with a DJI Phantom 4 Pro. The data was then processed in <em>Agisoft Photoscan</em> with a Structure-from-Motion - MultiView Stereo algorithm (SfM-MVS).<br> <br> In addition, the data set contains <strong>elevation</strong> and <strong>location data</strong> of 4 transects from sections along the east coast of Fuvahmulah. The data is stored in <em>*.csv </em>files, containing longitude, latitude, height and distance.<br> <br> Finally, there are two further data files with <strong>gridded topographic and bathymetric data</strong>, ready for use in the depth-integrated <strong>Boussinesq type model <em>BOSZ</em></strong> (see Roeber and Cheung, 2012; doi.org/10.1016/j.coastaleng.2012.06.001). Currently, the numerical wave model, incorporates lateral wave makers, so that the elevation data needs to be rotated to account for different wave directions <span class="math-tex">\(\theta\)</span>. The bathymetry was recorded with a <em>Dr. Fahrentholz LituBox 15/200</em> and truncated to 200 meters water depth. The coastal topography results from coastal DEMs, while the island's mainland is set to about 2-3 meters (no elevation information was available for the island's inland area). The data was gridded and interpolated onto the grid with <em>The Generic Mapping Tools (GMT)</em>. The grid size is 7.5 x 7.5 meter.<br> The files are in <em>MATLAB® 5.0</em> file format <em>*.mat</em>, containing the variables '<em>length</em>' and '<em>width</em>' of the domain in meters, '<em>X</em>' and '<em>Y</em>' (computation grid <span class="math-tex">\(x, y\)</span> in degrees <span class="math-tex">\(^\circ\)</span> longitude and latitude), as well as '<em>BATHY</em>', being the elevation data for the X,Y grid. In addition, friction values as used in the model is stored in the variable '<em>Friction</em>', as well as the grid increments '<em>DX</em>' and '<em>DY</em>' (<span class="math-tex">\(\Delta x\)</span> and <span class="math-tex">\(\Delta y\)</span> in degrees <span class="math-tex">\(^\circ\)</span> longitude and latitude).</p> <p>Each folder contains either a README-file or Jupyter Notebook (Python 3). The Notebooks allow the user to access and view the files (Python 3 and Jupyter Notebook installation required)</p>
Reef underwater photogrammetry - fore reef - ilico site Reunion island. TELEMAC project
<h2>Projet pour la Fédération OMNCG – 2023</h2><h3>Projet TELEMAC: TELEdétection Multi-échelle Appliquée aux récifs Coralliens, pour estimer leur rugosité hydrodynamique et rôle protecteur du littoral</h3><h4>Coral reef photogrammetry outputs - </h4><h4>- Point cloud, 3D model, Digital Elevation Model and Orhtomosaic de la pente externe du site Ilico - L'Hermitage </h4><p>contact : Isabel Urbina Barreto : isabel.urbina-barreto@ird.fr IRD - UMR ENTROPIE ; François Guilhaumon : francois.guilhaumon@ird.fr IRD - UMR ENTROPIE ; Emmanuel Cordier : emmanuel.cordier@univ-reunion.fr, Université de La Réunion OSU-R </p><p>Observatoire de Science de l'Univers de la Réunion (OSU-R) ; Observations des Milieux Naturels et des Changements Globaux (OMNCG)</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.