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348 results for “seagrass”

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dryad28/100

Data from: Managing seagrass resilience under cumulative dredging affecting light: predicting risk using dynamic Bayesian networks

Coastal development is contributing to ongoing declines of ecosystems globally. Consequently, understanding the risks posed to these systems, and how they respond to successive disturbances, is paramount for their improved management. We study the cumulative impacts of maintenance dredging on seagrass ecosystems as a canonical example. Maintenance dredging causes disturbances lasting weeks to months, often repeated at yearly intervals. We present a risk-based modelling framework for time varying complex systems centred around a dynamic Bayesian network (DBN). Our approach estimates the impact of a hazard on a system's response in terms of resistance, recovery and persistence, commonly used to characterise the resilience of a system. We consider whole-of-system interactions including light reduction due to dredging (the hazard), the duration, frequency and start time of dredging, and ecosystem characteristics such as the life-history traits expressed by genera and local environmental conditions. The impact on resilience of dredging disturbances is evaluated using a validated seagrass ecosystem DBN for meadows of the genera Amphibolis (Jurien Bay, WA, Australia), Halophila (Hay Point, Qld, Australia) and Zostera (Gladstone, Qld, Australia). Although impacts varied by combinations of dredging parameters and the seagrass meadows being studied, in general, 3 months of duration or more, or repeat dredging every 3 or more years, were key thresholds beyond which resilience can be compromised. Additionally, managing light reduction to less than 50% can significantly decrease one or more of loss, recovery time and risk of local extinction, especially in the presence of cumulative stressors. Synthesis and applications. Our risk-based approach enables managers to develop thresholds by predicting the impact of different configurations of anthropogenic disturbances being managed. Many real-world maintenance dredging requirements fall within these parameters, and our results show that such dredging can be successfully managed to maintain healthy seagrass meadows in the absence of other disturbances. We evaluated opportunities for risk mitigation using time windows; periods during which the impact of dredging stress did not impair resilience.

opencc-zeroDec 2016View details →
dryad28/100

Potential distribution of seagrass meadows based on MaxEnt model in Chinese coastal waters

<p><span>Seagrass meadows are generally diverse in China and have the same essential ecosystem services as elsewhere. However, an evaluation of seagrass distribution across China is still lacking, and the magnitude and direction of changes in seagrass meadows remains unclear. Our primary objective was to provide a nationwide seagrass distribution map, and to explore the dynamic changes of seagrass population under global climate change. We use simulation studies within the modelling software MaxEnt with 58961 occurrence records and 27 marine environmental variables, to simulate the potential distribution of seagrasses and calculate the area. 7 environmental variables were deleted before the modelling processes based on a correlation analysis to ensure predicted suitability. The predicted area was 790.09 km<sup>2</sup>, which is much larger than the known seagrass distribution in China, and would be increased to 923.62 km<sup>2</sup> by the year 2100. However, the suitable habitat of almost all seagrass will shift northwest in the future. The sum of individual family will under-predict the national distribution of seagrass, showed a downward trend consistently in the future. Out of all environmental variables, the physical ones (e.g. depth, land distance and sea surface temperature) had the greatest contribution in predicting seagrass distributions, and nutrients (e.g. nitrate, phosphate) ranked among the key influential predictors for habitat suitability in our focal area. As this is a first effort to fill a gap in our understanding of the distribution of seagrass in China, further studies are necessary using both modeling and biological/ecological approaches. </span></p>

opencc-zeroNov 2021View details →
zenodo28/100

FIGURE 6 in Two new species of sea cucumbers (Echinodermata: Holothuroidea) from the seagrass meadow of Penang, Malaysia

FIGURE 6. Acaudina spinifera sp. nov., USMCRC-Echi 029; lateral view. A=Anterior; P=Posterior.

opennotspecifiedApr 2022View details →
zenodo28/100

FIGURE 1 in Two new species of sea cucumbers (Echinodermata: Holothuroidea) from the seagrass meadow of Penang, Malaysia

FIGURE 1. Location of sampling area in Middle Bank and Pulau Gazumbo.

opennotspecifiedApr 2022View details →
zenodo28/100

FIGURE 2 in Two new species of sea cucumbers (Echinodermata: Holothuroidea) from the seagrass meadow of Penang, Malaysia

FIGURE 2. Euthyonidiella zulfigaris sp. nov. USMCRC-Echi 010; dorsal view. A=Anterior; P=Posterior.

opennotspecifiedApr 2022View details →
zenodo28/100

Supplementary files of paper titled "Seagrass mapping in Greek territorial waters using Landat-8 satellite images"

<p>Vector file with seagrass distribution in Greek waters derived from Landsat-8 satellite images.</p>

opencc-by-nc-nd-4.0Dec 2017View details →
zenodo28/100

Figure 5 in Seagrass in Southeast Asia: a review of status and knowledge gaps, and a road map for conservation

Figure 5: Level of seagrass information available within the Southeast Asian region.

opennotspecifiedJun 2018View details →
zenodo28/100

Seagrass

SciDraw upload

opencc-by-4.0May 2024View details →
zenodo28/100

Seagrass

SciDraw upload

opencc-by-4.0May 2024View details →
zenodo28/100

Fig. 2 in In situ experiments on the effect of low pH on the ultrastructure of the seagrasses Cymodocea nodosa and Posidonia oceanica Abstract

Fig. 2: A-C. TEM micrographs of young epidermal cells of P. oceanica control material. A. Epidermal cells orthogonal in shape, with dense cytoplasm and a round-shaped nucleus. The arrow marks the direction towards the leaf apex. B. Higher magnification of a nucleus with an impressive network of condensed chromatin. C. Undifferentiated chloroplast with large plastoglobuli. ER and mitochondria are also positioned in the cell periphery. Scale bars = 2 μm (A), 1μm (B) and 0.5μm (C).

opencc-by-4.0Oct 2021View details →
zenodo28/100

Seagrass as carbon holder in Waleo coastal waters, North Sulawesi, Indonesia

<p>Artikel Bioflux</p>

opencc-by-4.0Jun 2017View details →
zenodo28/100

Flow and drag in a seagrass bed

<p>Netcdf format data files used in JGR Oceans (in review at time data is published) &nbsp;&quot;Flow and drag in a seagrass bed&quot;. All units are SI. Time given uses the Matlab convention. Files names &quot;SeagrassDatan.nc&quot; (n=1:4) are various time series. Files labelled &quot;SeagrassADPDatan.mc&quot; are ADP files. Quadrat data is given in &quot;SeagrassQuadData.nc&quot;. In this file EA refers to&nbsp;Enhalus acoroides and TH refers to&nbsp;Thalassia hemprichii.</p>

opencc-by-4.0Mar 2019View details →
zenodo28/100

Dataset on: Records of sea star (Echinodermata, Asteroidea) diversity in a disturbed tropical seagrass meadow

<p>This study aims to record the sea star distribution in seagrass meadows within Sungai Pulai estuary (Johor, Malaysia) that is under pressure from coastal modification activities. The sampling sites were Merambong Shoal, Tanjung Adang Shoal, Tanjung Bin and Sungai Duku. From January 2016 to March 2018, we surveyed the areas to provide an inventory of sea star species sighted during the lowest tides. A total of seven species were observed, with Merambong Shoal having the highest number of species (seven species) while Sungai Duku and Tanjung Bin had the lowest (one species). We report the first sighting of <em>Astropecten vappa</em> in the area. Combined with past studies, there are now a total of eight sea star species in this area. As baseline records, our findings for the sea star community are applicable to the management of the seagrass habitat and help to create awareness of sea star diversity in the area.</p>

opencc-by-4.0Dec 2018View details →
zenodo28/100

Supplementary material 2 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

: Data type: species data

opencc-zeroJul 2019View details →
zenodo28/100

Figure 6 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

Figure 6 Colonial morphotypes of Posidoniomycesatricolor in vitro (type isolate BRK-21). a Compact morphotype with substrate mycelium b, d compact colonies with a cerebriform pattern c colony of P.atricolor on PCA e rhizoidal and compact (arrow) daughter colonies on PCA washed with sterile tap water f detail of the colonies encircled in e; g, h terminal capitate swellings on the surface of compact colonies i–k conspicuous swellings on aerial mycelium. Scale bars: 500 μm (a, d), 1000 μm (b, c), 5 mm (e), 200 μm (f), 100 μm (g), 20 μm (h).

opencc-by-4.0Jul 2019View details →
zenodo28/100

Figure 5 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

Figure 5 In vivo root colonisation pattern and in vitro cultural aspects of Posidoniomycesatricolor. a In vivo colonisation on the root surface (arrows) and in the hypodermis (asterisks) of P.oceanicabDSE colonisation on the root surface c germinating microsclerotia stained with trypan blue (arrows) d compact colony developed from microsclerotia (arrow) e surface-sterilised root segments yielding P.atricolor compact colonies (black arrows), sometimes with substrate mycelium (white arrows) f compact colonial morphotype g mycelial colonial morphotype h mycelial morphotype developing from microsclerotia (arrows) in transversal section. Scale bars: 20 μm (a, b), 50 μm (c), 100 μm (d), 200 μm (f, h), 500 μm (g).

opencc-by-4.0Jul 2019View details →
zenodo28/100

Figure 2 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

Figure 2 Map of the Mediterranean Sea with location of our 32 sampling sites. For further details see Table 1.

opencc-by-4.0Jul 2019View details →
zenodo28/100

Figure 4 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

Figure 4 Phylogram and map showing a distribution pattern of Posidoniomycesatricolor. a Phylogram generated from maximum likelihood analysis based on ITS sequence data for Posidoniomycesatricolor and representatives of the Aigialaceaeb map of the Mediterranean Sea with our 32 sampling sites. Sites in blue, orange, violet and green colour indicate locations of P.atricolor strains with corresponding mutations in ITS2 sequences.

opencc-by-4.0Jul 2019View details →
zenodo28/100

Figure 3 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

Figure 3 Phylogram generated from maximum likelihood analysis based on combined nucLSU, nucSSU and RPB2 sequence data for Posidoniomycesatricolor and the Aigialaceae. Species names given in bold are type species. The ex-type of the taxonomic novelty is in bold and blue. An asterisk (*) indicates branches with ML BS = 100% and PP values = 1.0. Branch support of nodes ≥ 70 % ML BS and ≥ 0.90 PP is indicated above or below branches.

opencc-by-4.0Jul 2019View details →
zenodo28/100

Figure 1 from: Vohník M, Borovec O, Kolaříková Z, Sudová R, Réblová M (2019) Extensive sampling and high-throughput sequencing reveal Posidoniomyces atricolor gen. et sp. nov. (Aigialaceae, Pleosporales) as the dominant root mycobiont of the dominant Mediterranean seagrass Posidonia oceanica. MycoKeys 55: 59-86. https://doi.org/10.3897/mycokeys.55.35682

Figure 1 The dominant Mediterranean seagrass Posidoniaoceanica. a Overall appearance, note dense branched root system of the seagrass (encircled) bPosidoniaoceanica growing on an approx. 1.5 m thick layer of matte c typical habitat of the dominant Mediterranean seagrass, note the layer of shed seagrass leaves on the seabed.

opencc-by-4.0Jul 2019View details →

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