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348 results for “seagrass”
FIGURE 4 in Two new species of sea cucumbers (Echinodermata: Holothuroidea) from the seagrass meadow of Penang, Malaysia
FIGURE 4. Calcareous ring of Euthyonidiella zulfigaris sp. nov. viewed from body cavity. USMCRC-Echi 010. R=Radial plate; IR=Interradial plate; A=Anterior; P=Posterior.
FIGURE 3 in Two new species of sea cucumbers (Echinodermata: Holothuroidea) from the seagrass meadow of Penang, Malaysia
FIGURE 3. Euthyonidiella zulfigaris sp. nov. USMCRC-Echi 010; ventral view. A=Anterior; P=Posterior.
Data from: Comparison of macro-molluscan assemblages in a protected and a non-protected tropical seagrass ecosystem
<p><span>Humans</span><span> be</span><span>nefit </span><span>from a variety of ecosystem services provided by seagrass meadows. However, seagrass conservation efforts appear to be insufficient, as evidenced by its low representation in marine protected areas around the world.</span><span> Protecting seagrasses benefits not just the seagrass itself, but also the macrobenthic invertebrate assemblages that dwell beside it and contribute indirectly to the various environmental services through their functions. Studies comparing seagrass-associated invertebrate assemblages and functional trait composition within and outside marine protected areas are uncommon, so the current study compares invertebrate assemblages and functional trait composition from a marine protected area (Gulf of Mannar Marine National Park) and an adjacent non-marine protected area (Palk Bay) along the southeast coast of India.</span><span> The species richness (mean <em>S</em> = 83.3) and density (mean <em>D</em> = 6276.6) of seagrass-associated macromolluscs were higher in marine protected areas than in non-marine protected areas (mean <em>S</em> = 54.6, mean <em>D</em> = 5264.0), but not the species diversity (mean <em>H'</em> = 2.1 for marine protected areas, mean <em>H'</em> = 2.0 for non-marine protected areas).</span> Protected seagrass ecosystems, on the other hand, exhibited much higher species richness within functional groups (i.e., deposit feeders (mean <em>S</em> = 5.5), micro-/macro-grazers (21.7), predators (34.8), ectoparasites (2.1) and suspension feeders (19.3)), suggesting that the protection status supports functional redundancy. The study's findings reveal the importance of protection status in enhancing macromollusc assemblages in seagrass ecosystems, which improves the ecosystem's resilience and function.</p>
Seagrass and tiger shark data
<p>Seagrass conservation is critical for mitigating climate change due to the large stocks of carbon they sequester in the seafloor. However, effective conservation and its potential to provide nature-based solutions to climate change is hindered by major uncertainties regarding seagrass extent and distribution. Here, we describe the characterization of the world's largest seagrass ecosystem, located in The Bahamas. We integrate existing spatial estimates with an updated empirical remote sensing product and perform extensive groundtruthing of the seafloor with 2,542 diver surveys across remote sensing tiles. We also leverage seafloor assessments and movement data obtained from instrument-equipped tiger sharks, which have strong fidelity to seagrass ecosystems, to augment and further validate predictions. We report a consensus area of at least 66,000 km<sup>2</sup> and up to 92,000 km<sup>2</sup> of seagrass habitat across The Bahamas Banks. Sediment core analysis of stored organic carbon further confirmed the global relevance of the blue carbon stock in this ecosystem. Data from tiger sharks proved important in supporting mapping and groundtruthing remote sensing estimates. This work provides evidence of major knowledge gaps in the ocean ecosystem, the benefits in partnering with marine animals to address these gaps, and underscores support for rapid protection of oceanic carbon sinks.</p>
Figure 7 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 7: Research output for the Southeast Asian region by thematic area presented as decadal totals.
Figure 4 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 4: Halophila sp. 2 collected in 1997 at a mangrove area of Teluk Sepinong, Sandakan, Sabah, Malaysia. Photo credit: © Japar Sidik.
Figure 2 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 2: Marine provinces and ecoregions of Southeast Asia, based on Spalding et al. (2007). Provinces are made out of ecoregions with the following codes: 20108 Northern Bay of Bengal; 20109 Andaman and Nicobar Islands; 20110 Andaman Sea Coral Coast; 20111 Western Sumatra; 20112 Gulf of Tonkin; 20114 South China Sea Oceanic Islands; 20115 Gulf of Thailand; 20116 Southern Viet Nam; 20117 Sunda Shelf/Java Sea; 20118 Malacca Strait; 20119 Southern Java; 20120 Cocos-Keeling/Christmas Island; 20126 Palawan/North Borneo; 20128 Sulawesi Sea/Makassar Strait; 20129 Halmahera; 20130 Papua; 20131 Banda Sea; 20132 Lesser Sunda; 20133 Northeast Sulawesi; 20139 Arafura Sea.
Figure 3 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 3: Halophila major from Tanjung Adang Laut, Sungai Pulai estuary, Johor (refer also to Nguyen et al. 2014 for morphological and genetic identification of the species). Photo credit: © Muta Harah.
Figure 8 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 8: Roadmap for addressing conservation challenges facing seagrass in the Southeast Asian region. Challenges can have multiple solutions and these solutions can contribute to a final aim. The challenges are listed at the bottom of the figure in red ovals and the final aims are at the top of the figure in blue boxes. Intermediate solutions are presented in the middle in green boxes. Dotted lines represent linkages betweeen the challenges and the intermediate solutions, with each dotted line colour coded specific to a challenge. Intermediate solutions that contribute to a final aim are joined by dashed and solid lines and colour coded.
Figure 1 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 1: Total population by country in Southeast Asia. Population figures derived from www.worldatlas.com.
Figure 6 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation
Figure 6: Research output per decade by country/territory. Numbers based on searches on Web of Science and updated from Ooi et al. (2011a).
FIGURE 1 in Two new species of the genus Daptonema Cobb, 1920 (Nematoda: Xyalidae) found in an intertidal seagrass bed on the coast of the Andaman Sea, Thailand, with reference to the taxonomic status of the genus Trichotheristus Wieser, 1956
FIGURE 1. Daptonema chonispiculum sp. n. Male (Holotype ICHUM 5323; left side view): A) Entire body. B) Anterior region. C) Head region. D) Posterior region. E) Spicules and gubernaculum. Female (Allotype ICHUM 5324; left side view): F) Entire body. G) Vulval region. H) Posterior region. Bar scales: A, F, 100 µm; B, D, H, 40 µm; C, E, 10µm; G, 40 µm.
FIGURE 3 in Two new species of the genus Daptonema Cobb, 1920 (Nematoda: Xyalidae) found in an intertidal seagrass bed on the coast of the Andaman Sea, Thailand, with reference to the taxonomic status of the genus Trichotheristus Wieser, 1956
FIGURE 3. Daptonema phuketense sp. n. Male (Holotype ICHUM 5330, left side view): A) Copulatory apparatus and caudal glands. B) Caudal glands. Female (Paratype KUMF-T0016; left dorso-lateral view): C) Caudal glands. Bar scales: A, C, 20 µm; B, 10 µm. Arrows indicate the third caudal gland.
Data from: Microhabitat partitioning in seagrass mesograzers is driven by consistent species choices across multiple predator and competitor contexts
Explanations for the coexistence of multiple species from the same functional group or taxonomic clade frequently include fine-scale resource partitioning. However, despite the hypothesized importance of niche partitioning, we know relatively little about the underlying mechanisms. For example, differences in resource use may be fixed consequences of organism traits, or they may be achieved via context-dependent behaviors. In this study we investigated mechanisms of microhabitat partitioning using eight species of marine mesograzers inhabiting seagrass and algae habitats, using laboratory trials to measure microhabitat use in the presence and absence of both predators and competitors. We found clear evidence for microhabitat partitioning between the species, which account for over 60% of the mesograzers commonly found in this system and vary in both body size and the ability to build tubes on habitat substrates. Species-specific microhabitat use was poorly predicted by these two traits, but remained remarkably consistent across contexts. Habitat use was not affected by the presence of fish predators common in this system, even though predation pressure is thought to place strong constraints on microhabitat in communities of plant-associated arthropods. The presence of competing species also did not affect the relative separation of microhabitat use. Behavioral responses to potential competitors did cause significant changes in microhabitat use in all of the smallest species, but these changes did not depend on competitor identity and were relatively small compared to among-species patterns of microhabitat partitioning. The consistency of species-specific microhabitat use, regardless of the presence of predators or competitors, should make coexistence most likely among species that differ in these choices. For these species, it appears that the benefits accrued from their selected microhabitats are not affected by species interactions, or that any benefits of alternative microhabitat use are outweighed by risks associated with movement.
Experimental evidence root-associated microbes mediate seagrass response to environmental stress
<ol> <li>Below-ground microbiota play an important role in mediating environmental conditions with important consequences for plant performance. Microorganisms involved in plant-soil interactions may be associated with roots or bulk-soil; however, the relative influence of these below-ground microbial assemblages on plant performance is poorly known, particularly for marine plants. </li> <li>We separately manipulated the root and sediment microbial assemblages of the seagrass <em>Zostera muelleri</em> in a fully factorial experiment to determine how these assemblages determined plant response (e.g., growth) to nutrient enrichment, a major stressor in marine systems. </li> <li>Under ambient nutrient conditions, seagrass growth was maintained regardless of root microbial assemblage disruption. Under high nutrient stress, however, seagrasses with disrupted root microbiota had reduced growth, whereas growth was maintained in seagrasses with an intact root microbiota. Disruption of bulk-sediment microbiota did not affect seagrass growth. Nutrient elevation was correlated to enhanced abundances of several putatively beneficial microbial taxa (e.g. sulfide-oxidizing Beggiatoaceae and denitrifying <em>Geofilum rubicundum</em>) associated with roots. </li> <li> <em>Synthesis</em>: Our results suggest that under ambient nutrient conditions, microorganisms play a reduced role in influencing plant performance, but under more stressful conditions positive plant-root microorganism interactions strengthened. These results are among the first to experimentally determine that interactions between marine plants and the root-associated microbiota are key drivers of seagrass performance under human-induced environmental changes. This suggests that as in terrestrial systems, marine plant resilience depends on the stress-mitigating functions of their root-associated microbiota and disturbance to those plant-microbiota interactions can be deleterious for plant performance. Improving our understanding of these plant-microorganism interactions may be critical for understanding the functioning and resilience of threatened marine plants and developing more effective restoration strategies for them.</li> </ol>
Methane emissions in seagrass meadows as a small offset to carbon sequestration
<p>Station P: Masterfile includes environmental data and CO2, CH4 and radon concentration at Station P </p> <p>Station S: Masterfile includes the environmental data and CO2, CH4 and radon concentration at Station S </p> <p>Sediment Core: Master file includes the porewater DIC and CH4 concentration</p> <p>Survey: Master file of spatial survey includes GPS location, CH4 concentration </p>
Fig. 4 in Phenolic fingerprints of the Pacific seagrass Phyllospadix torreyi - Structural characterization and quantification of undescribed flavonoid sulfates
Fig. 4. Inter-annual variation in the amounts of phenolic compound in fresh (samples Phy1-F to Phy5-F) and detrital (sample Phy-3 D). Concentrations values on ordinate are given as mg g ¡1 dw of plant tissue, mean values SD (n 3). Products are given in order of elution: Caff: 1; Nep7,4': 2; OMeLu2S: 3; 6OHLu2S: 4; ± = Coum: 5; Lu2S: 6; Nep2S: 7; 5OMeLu7S: 8; 6OHLu7S: 9; RA: 10; L7S: 11; Nep7S: 12; Lu3′S: 13; Nep3′S: 14; Hispi7S: 15; Jaceo7S: 16. See Fig. 3 for formulae and Table 1 for full data.
Fig. 3 in Phenolic fingerprints of the Pacific seagrass Phyllospadix torreyi - Structural characterization and quantification of undescribed flavonoid sulfates
Fig. 3. Structural formulae of compounds 1–18 and a-e. Underlined names indicate the previously unreported products.
Fig. 1 in Phenolic fingerprints of the Pacific seagrass Phyllospadix torreyi - Structural characterization and quantification of undescribed flavonoid sulfates
Fig. 1. Schematic map showing the location of the sampling sites in La Jolla, San Diego County, California, USA. 1: site for fresh material. 2: site for detrital material.
Fig. 5 in Specialized compounds across ontogeny in the seagrass Posidonia oceanica
Fig. 5. Map of the sampling area showing where plant material was collected (Cala Xinxell and Cala Comtesa).
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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
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