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22 results for “Coral cover”
MCR LTER: Coral Reef: 2018 land cover map of Moorea, French Polynesia
Using a collection of imagery from June-September 2018 taken by the Worldview-3 satellite, land cover was classified for the island of Mo’orea, French Polynesia. A deep learning pixel classification model was trained for each of four separate dates of image collection when clouds were sparse over the island. The model was trained at the native resolution of the imagery (<2m pixels). Training data included the multispectral WV-3 bands in addition to derived bands that index vegetation productivity (NDVI), vegetation texture (NDVI IDM), and water cover (NDWI). A consensus land cover map was generated from model predictions across the four sets of imagery.
Global Airborne Observatory: Hawaiian Islands Live Coral Cover in 2019
<p>An airborne mapping approach combining laser-guided imaging spectroscopy and deep learning models was used to quantify the geographic distribution of live corals to 16 m water depth throughout the eight main Hawaiian Islands. Full metadata and methods are provided in:</p> <p>Asner, G.P., N.R. Vaughn, J. Heckler, D.E. Knapp, C. Balzotti, E. Shafron, R.E. Martin, B.J. Neilson, J.M. Gove. 2020. Large-scale mapping of live corals to guide reef conservation. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.2017628117.</p> <p>Asner, G.P., N.R. Vaughn, J. Heckler. 2020. Global Airborne Observatory: Hawaiian Islands Live Coral Cover in 2019 (Version 3.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4292660</p> <p>Use of our data requires that you cite both of these sources together. In addition, we ask that these data be used to make the world a better place.</p> <p>The data are in standard GeoTIFF file format organized by island.</p> <p>These data files will be updated as further improvements are made.</p>
MCR LTER: Coral Reef: Benthic Community Dynamics: Island Scale Coral Cover Analysis
These data describe the results of outer reef surveys that are conducted on an irregular schedule to quantify coral reef community dynamics on a scale of kilometers. The first island-wide survey was completed in 2006, and the second in 2010; we anticipate conducting such surveys every 5-6 years or as needed to capture the large-scale effects of disturbance regimes. The island-wide sampling adds 3 new sites per shore (for a total of 5 sites/shore with the fixed LTER sites) in each year that the larger scale analyses are completed.
Coral cover and coral bleaching in the Gulf of Chiriqui
<p><strong>Coral cover and coral bleaching in the Gulf of Chiriqui</strong></p> <p><strong>Description</strong>: This repository compiles and analyzes coral cover, bleaching and mortality data from 1980-2018.</p> <p><strong>Content</strong>:</p> <ul> <li> <p><strong>1.Uva_cover.Rmd:</strong> Script for coral cover data analysis</p> </li> <li> <p><strong>2.Chiriqui_Bleaching.Rmd:</strong> Script for coral bleaching data analysis</p> </li> <li>BleachingData: Directory containing data files in .csv format with the bleaching proportions in the Gulf of Chiriqui</li> <li>CoverData: Directory containing data files in .csv format with the coral cover data in the Gulf of Chiriqui</li> <li>Outputs: Directory containing figure files and multicomparison results. <ul> <li>Figure 1b</li> <li>Figure 2</li> <li>Figure S1</li> <li>Figure S2</li> <li>Figure S3</li> <li>Figure S4</li> </ul> </li> </ul>
Figure 1 in Coral cover percentage and health condition in Tioman Island marine protected area, Pahang, Malaysia
Figure 1. The location of the study sites [Tiong Point (2°49'49.12"N; 104° 9'45.10"E), Tekek (2°49'23.97"N; 104° 9'34.77"E) and Renggis Island (2°48'37.52"N, 104° 8'9.60"E)] in Tioman Island, Pahang, Malaysia.
Historical coral reef benthic cover for the Western Indian Ocean (1970-2008)
<p>Benthic cover data (percent cover) for the Western Indian Ocean. Data have been extracted from published sources through a systematic literature review, and compiled with previously unpublished datasets. Data was collected prior to 2008 through quantitative coral reef surveys (e.g., Line or Point-Intercept-Transects, photo or visual quadrats) and visual estimates. Particular attention was given to compiling live hard coral cover and macro and turf algae cover data due to their importance as principal measures of coral reef health. Data are from 10 Western Indian Ocean countries and territories: Kenya, Seychelles, Tanzania, Mozambique, Comoros, Mayotte, Madagascar, Reunion, Mauritius and South Africa.</p> <p>Data were extracted from grey literature (technical reports, books, and book chapters), scientific journal papers (articles and reviews) and project reports. </p> <p>Data were generally reported as summarised mean cover values at a monitoring site level. Data aggregated at broader geographic scales was also included (e.g., “northern Kenya”), or other classes (e.g., “unspecified 9 sites (protected)”). </p> <p>Data found in more than one publication were identified and cross-referenced to the other sources. Locations were ordered hierarchically by Country, Sector, Site and Station. In some cases, the same site or station may have multiple entries for the same year because of surveys of different reef zones or depths, and this information is provided to enable a distinction to be made. The exact date or year of survey was not clear in a few publications, and this has been recorded in the <em>Year</em> column as either combined years, e.g. 1998/99, general time period, e.g. mid - 1990s, or if no information is available, as ‘n.d’.</p>
Code and data: Spatial variation in upper limits of coral cover on the Great Barrier Reef
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MCR LTER: Coral Reef: Pocillopora Abundance, Cover and Recruitment data for Tsounis and Edmunds 2016 Peer J
The dataset contains stony coral cover percent and Pocillopora cover obtained in on the north shore of Moorea in 2010 and 2014/2015 using photoqudrats. A subset of the data were obtained by counting adults and juveniles in situ using quadrats. Recruitment rates were quantified using settlement tiles. These data support the publication Tsounis and Edmunds, The potential for self-seeding by the coral Pocillopora spp. In Moorea, French Polynesia, Peer J, 2016.
Allen Coral Atlas maps of the benthic cover and geomorphic zones of coral reefs in western Micronesia
<p>This dataset includes shapefiles of classification of benthic cover and geomorphic zones of the shallow coral reefs in the area of western Micronesia. The boundary of the mapped area is included in the dataset. <br> <br> This is a subset of the Allen Coral Atlas global coral reef mapping dataset. Mapping methodology, other datasets and a full list of contributors are available at <a href="https://www.allencoralatlas.org/">https://www.allencoralatlas.org/</a>. Further guidance on licensing and citation can be found at <a href="https://github.com/CoralMapping/AllenCoralAtlas">https://github.com/CoralMapping/AllenCoralAtlas</a></p>
Figure 2 in Coral cover percentage and health condition in Tioman Island marine protected area, Pahang, Malaysia
Figure 2. Classify the conservation of coral reef growth in Tiong Point, Tekek and Renggis Island.
Coral cover and coral bleaching in the Gulf of Chiriqui
<p>No description provided.</p>
Reef cover classification (v1): internal coral reef class descriptors for global coral reef habitat mapping
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Moorea Coral Reef site, station Dascyllus trimaculatus permanent transects, study of animal cover of Heteractis magnifica in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Moorea Coral Reef (MCR) contains animal cover of Heteractis magnifica measurements in percent units and were aggregated to a yearly timescale.
Relationships between a common Caribbean corallivorous snail and protected area status, coral cover, and predator abundance
<p>As coral populations decline across the Caribbean, it is becoming increasingly important to understand the forces that inhibit coral survivorship and recovery. Predation by corallivores, such as the short coral snail <i>Coralliophila abbreviata</i>,are one threat to the health of reefs worldwide, but understanding of the factors controlling corallivore populations, and therefore corallivore predation pressure, remains limited. To examine the extent to which bottom-up (i.e., coral prey) and top-down (i.e., predators) forces relate to <i>C. abbreviata </i>distributions, we surveyed <i>C. abbreviata </i>abundance, percent coral cover, and the abundance of potential snail predators across six protected and six unprotected reefs in the Florida Keys. We found that <i>C. abbreviata </i>abundance was lower in protected areas, which had more diverse predator assemblages, and that across all sites snail abundance generally increased with coral cover. <i>C. abbreviata </i>abundance had strong, negative relationships with two gastropod predators in particular - the Caribbean spiny lobster (<i>Panulirus argus</i>) and the grunt black margate (<i>Anisotremus surinamensis</i>). Further, we found the size of <i>C. abbreviata </i>was also related to reef protection status, with larger <i>C. abbreviata </i>on average in protected areas, suggesting these gape-limited predators may alter size distributions by targeting small snails. Combined, these results provide preliminary evidence that marine protection in the Florida Keys may be a mechanism available to preserve critical trophic interactions that indirectly promote coral success via control of local populations of the common corallivore <i>C. abbreviata.</i></p>
Data from: Coral cover surveys corroborate predictions on reef adaptive potential to thermal stress
<p>As anomalous heat waves are causing the widespread decline of coral reefs worldwide, there is an urgent need to identify coral populations tolerant to thermal stress. Heat stress adaptive potential is the degree of tolerance expected from evolutionary processes and, for a given reef, depends on the arrival of propagules from reefs exposed to recurrent thermal stress. For this reason, assessing spatial patterns of thermal adaptation and reef connectivity is of paramount importance to inform conservation strategies. In this work, we applied a seascape genomics framework to characterize the spatial patterns of thermal adaptation and connectivity for coral reefs of New Caledonia (Southern Pacific). In this approach, remote sensing of seascape conditions was combined with genomic data from three coral species. For every reef of the region, we computed a probability of heat stress adaptation, and two indices forecasting inbound and outbound connectivity. We then compared our indicators to field survey data, and observed that decrease of coral cover after heat stress was lower at reefs predicted with high probability of adaptation and inbound connectivity. Last, we discussed how these indicators can be used to inform local conservation strategies and preserve the adaptive potential of New Caledonian reefs.</p>
Supporting dataset: A framework to quantify flow through coral reefs of varying coral cover and morphology
<p>This dataset contains the STL files and data from the numerical and laboratory models used in the related publication. </p>
Relationships between a common Caribbean corallivorous snail and protected area status, coral cover, and predator abundance
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Volatility in coral cover erodes niche structure, but not diversity, in reef fish assemblages
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Data from: Coral cover surveys corroborate predictions on reef adaptive potential to thermal stress
<p>As anomalous heat waves are causing the widespread decline of coral reefs worldwide, there is an urgent need to identify coral populations tolerant to thermal stress. Heat stress adaptive potential is the degree of tolerance expected from evolutionary processes and, for a given reef, depends on the arrival of propagules from reefs exposed to recurrent thermal stress. For this reason, assessing spatial patterns of thermal adaptation and reef connectivity is of paramount importance to inform conservation strategies. In this work, we applied a seascape genomics framework to characterize the spatial patterns of thermal adaptation and connectivity for coral reefs of New Caledonia (Southern Pacific). In this approach, remote sensing of seascape conditions was combined with genomic data from three coral species. For every reef of the region, we computed a probability of heat stress adaptation, and two indices forecasting inbound and outbound connectivity. We then compared our indicators to field survey data, and observed that decrease of coral cover after heat stress was lower at reefs predicted with high probability of adaptation and inbound connectivity. Last, we discussed how these indicators can be used to inform local conservation strategies and preserve the adaptive potential of New Caledonian reefs.</p>
Data from: Clonal diversity impacts coral cover in Acropora cervicornis thickets: potential relationships between density, growth and polymorphisms
As coral reefs decline, cryptic sources of resistance and resilience to stress may be increasingly important for the persistence of these communities. Among these sources, inter‐ and intraspecific diversity remain understudied on coral reefs but extensively impact a variety of traits in other ecosystems. We use a combination of field and sequencing data at two sites in Florida and two in the Dominican Republic to examine clonal diversity and genetic differentiation of high‐ and low‐density aggregations of the threatened coral Acropora cervicornisin the Caribbean. We find that high‐density aggregations called thickets are composed of up to 30 genotypes at a single site, but 47% of genotypes are also found as isolated, discrete colonies outside these aggregations. Genet–ramet ratios are comparable for thickets (0.636) and isolated colonies after rarefaction (0.569), suggesting the composition of each aggregation is not substantially different and highlighting interactions between colonies as a potential influence on structure. There are no differences in growth rate, but a significant positive correlation between genotypic diversity and coral cover, which may be due to the influence of interactions between colonies on survivorship or fragment retention during asexual reproduction. Many polymorphisms distinguish isolated colonies from thickets despite the shared genotypes found here, including putative nonsynonymous mutations that change amino acid sequence in 25 loci. These results highlight intraspecific diversity as a density‐dependent factor that may impact traits important for the structure and function of coral reefs.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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