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145 results for “marine protected area”
Data from: Marine protected areas enhance structural complexity but do not buffer the consequences of ocean warming for an overexploited precious coral
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Data from: Effective dispersal of Caribbean reef fish is smaller than current spacing among marine protected areas
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Data from: Monitoring spawning activity in a southern California marine protected area using molecular identification of fish eggs
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Data from: Habitat collapse due to overgrazing threatens turtle conservation in marine protected areas
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Data from: Fishing pressure impacts the abundance gradient of European lobsters across the borders of a newly established marine protected area
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Pre-closure fishing pressure predicts effects of marine protected areas
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Data from: Mediterranean marine protected areas have higher biodiversity via increased evenness, not abundance
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Data from: A synthesis of the prevalence and drivers of non-compliance in marine protected areas
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List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats
<p>List of the main marine and coastal habitats detected in Marine Protected Areas and Key Biodiversity Areas of countries around the Alboran Sea, with annotations on the year on which the habitat was listed or publications related on the habitats. Biosph Res: Biosphera Reserve; MP: Management Plan; NA: Natural Area; NatP: National Park; NP: Natural Park; RCP: Réserve de Chasse Permanenten; RH: Permanent Reserve of Hunting; RN: Réserve Naturelle; SAC: Special Area of Conservation; SBEI: Sites of Biological and Ecological Interest; SCI: Site of Community Importance of Natura 2000; SPAMI: Specially Protected Areas of Mediterranean Importance; LIC: Lugar de Importancia Comunitaria; ZEC: Zona de Especial Conservación; ZEPIM: Zona Especialmente Protegida de Importancia para el Mediterráne; ASPIM: Aires Spécialement Protégées d’Importance Méditerranéenne; SIBE: Sites d’Intérêt Biologique et Ecologique</p>
Data from: Genetic connectivity of Lionfish (Pterois volitans) in marine protected areas of the Gulf of Mexico and Caribbean Sea
<p><span><span><span><span><span><span><span><span><span><span><span>Lionfish (<i>Pterois volitans</i>) have rapidly invaded the tropical Atlantic and spread across the wider Caribbean in a relatively short period of time. Because of its high invasion capacity, we used it as a model to identify the connectivity among nine marine protected areas (MPAs) situated in four countries in the Gulf of Mexico and the Caribbean Sea.<span class="MsoBookTitle"><span><span><span><span><span><span><span><span><span><span><span><span>This study provides evidence of local genetic differentiation of <i>P. volitans</i>in the Gulf of Mexico and the Caribbean Sea.</span></span></span></span></span></span></span></span></span></span></span></span></span>A total of 475 lionfi</span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>s</span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span>h samples were characterized with 12 microsatellites, with 6 to 20 alleles per locus. Departures from Hardy-Weinberg equilibrium (HWE) were found in 10 of the 12 loci, all caused by heterozygous excess. Moderate genetic differentiation was observed between Chiriviche, Venezuela and Xcalak , México localities (F<sub>ST</sub>= 0.012), and between the Los Roques and Veracruz (F<sub>ST</sub>= 0.074) sites. STRUCTURE analysis found that four genetic entities best fit our data. A unique genetic group in the Gulf of Mexico may imply that the lionfish invasion unfolded both in a counter-clockwise manner in the Gulf of Mexico<span><span>.</span></span>In spite of thenotable dispersion of <i>P. volitans</i>, our results show some genetic structure, as do other noninvasive Caribbean fish species, suggesting that the connectivity in some MPAs analyzed in the Caribbean is limited and caused by only a few source individuals with subsequent genetic drift leading to local genetic differentiation. This indicates that <i>P. volitans</i>dispersion could be caused by mesoscale phenomena, which produce stochastic connectivity pulses. Due to the isolation of some MPAs from others, these findings may hold a promise for local short-term control of by means of intensive fishing, even in MPAs, and may have regional long-term effects.</span></span></span></span></span></span></span></span></span></span></span></p>
Figure 1 in Responses of pink shrimp Farfantepenaeus brasiliensis (Latreille, 1817) (Penaeoidea) to physico-chemical parameters in a marine protected area: changes in abundance and distribution after 20 years
Figure 1. Marine protected area (MPA) and sampling stations in Fortaleza Bay.
Fig. 5 in Meiofaunal Biodiversity In A Marine Protected Area: A Case Study In The Rocky And Sedimentary Shores Of The Snake Island (North-Western Black Sea)
Fig. 5. The average density (N, means ± SE ind.·m–2) and biomass (B, means ± SE mg·m–2) of each meiobenthic taxon in the different habitats of the Snake Island MPA (Black Sea).
Fig. 5 in Seasonal response of benthic foraminifera to anthropogenic pressure in two stations of the Gulf of Trieste (northern Adriatic Sea, Italy): the marine protected area of Miramare versus the Servola water sewage outfall
Fig. 5: Distribution of the foraminiferal density of those species and genera comprising at least 4% of the assemblage in at least one sample from the studied stations. Red histogram: Ser station; blue histogram: Res station. Note that y-axis scale is variable depending on species foraminiferal density.
Fig. 3 in Assessment of coastal fish assemblages before the establishment of a new marine protected area in the central Mediterranean: its role in formulating a zoning proposal Abstract
Fig. 3: Species richness (mean number of species ± S.E.) of fishes recorded along the random courses at each (a) sector, (b) habitat type (POM=Posidonia oceanica meadow; RAR=rockyalgal reef; SOB=soft bottom) and (c) depth range.
Avian point count data from riparian corridors of protected areas in Marin County California
<p>The data set is a simplified version of avian point count data collected in Marin County, CA, USA between 1997 and 2019. Point count surveys (5 minutes) were conducted twice during the breeding season (May and June) along transects in riparian corridors within protected areas (Point Reyes National Seashore, Golden Gate National Recreation Area, Mount Tamalpais State Park, and Bolinas Lagoon Open Space Preserve). Data were collected by Point Blue Conservation Science biologists and were integrated into the National Park Service Inventory and Monitoring Program. All individuals detected at any distance were recorded during the surveys, but this simplified data set only includes the observations analyzed for this publication, specifically detections (aurally and visually) within 50 meters of each point count station for each of the fourteen species selected for analysis.</p>
Data from: A global network of marine protected areas for food
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Global Marine Protected Areas: Proposal, announcement, and implementation
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Avian point count data from riparian corridors of protected areas in Marin County California
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Trophic cascade in a marine protected area
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Data from: Genetic connectivity of Lionfish (Pterois volitans) in marine protected areas of the Gulf of Mexico and Caribbean Sea
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.