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1,071 results for “Mangroves”
Fig. 2 in MaNgROVIVIRga CUNICULI gen. nov., sp. nov., a moderately halophilic bacterium isolated from bioturbated Red Sea mangrove sediment, and proposal of the novel family MaNgROVIVIRgaCeae fam. nov.
Fig. 2. (a) Maximum-likelihood phylogenetic tree based on the 16S rRNA gene sequences presenting the position of Mangrovivirga cuniculi R1DC9T (MT146883). Only bootstrap values (expressed as percentages of 1000 replications) exceeding 50% are shown at branching points. Psychroflexus torquis ATCC 700755T (GenBank accession no. U85881) was used as an outgroup. Bar, 0.040 substitutions per nucleotide position. Filled circles indicate branches that were also recovered using the neighbour-joining method. (b) Maximumlikelihood phylogenetic tree highlighting the position of R1DC9T relative to the other type strains within the order Cytophagales, including members of the families Marivirgaceae, Roseivirgaceae, Reichenbachiellaceae, Fulvivirgaceae, Cesiribacteraceae and Flammeovirgaceae. The phylogenetic tree was built using 120 concatenated single-copy genes obtained using GTDB-Tk software [34]. Bootstrap values greater than 50% based on 1000 replications are indicated at branching nodes. Bar, 0.2 substitutions per nucleotide position.
Fig. 4 in Gordonia mangrovi sp. nov., a novel actinobacterium isolated from mangrove soil in Hainan
Fig. 4. Scanning electron microscopy image of strain HNM0687T grown on ISP2 agar at 28 °C for 7 days.
Fig. 3 in Gordonia mangrovi sp. nov., a novel actinobacterium isolated from mangrove soil in Hainan
Fig. 3. Phylogenomic tree reconstructed on the TYGS (https://tygs.dsmz.de/). Tree inferred with FastME 2.1.6.1 [36] from genome BLAST distance phylogeny (GBDP) distances calculated from genome sequences. The branch lengths are scaled in terms of GBDP distance formula d5. The numbers above branches are GBDP pseudo-bootstrap support values>60% from 100 replications, with an average branch support of 84.6%. The tree was rooted at the midpoint [37]. Leaf labels with different colours indicate species and subspecies clusters.
Fig. 1. Neighbour-joining phylogenetic tree derived using 16S rRNA gene sequences, showing the relationships between strain HNM0687T in Gordonia mangrovi sp. nov., a novel actinobacterium isolated from mangrove soil in Hainan
Fig. 1. Neighbour-joining phylogenetic tree derived using 16S rRNA gene sequences, showing the relationships between strain HNM0687T and other type strains of the genus Gordonia. Only values above 50% are shown. Asterisks represent clades that were also recovered by the maximum-likelihood and maximum-parsimony methods. Bar, one nucleotide substitution per 100 nucleotides.
Fig. 1 in DraCOnibaCTerium mangrOVi sp. nov., isolated from mangrove sediment
Fig. 1. Phylogenetic relationship of strain GM2-18T and close relatives based on 16S rRNA gene sequences. The tree was reconstructed using the maximum-likelihood method. Bootstrapping was carried out with 1000 replicates. Branch node values below 50% are not shown. Lishizhenia tianjinensis CGMCC 1.7005T was selected as the outgroup. Bar, 0.02 nucleotide substitutions per position.
Fig. 1 in MaNgROVIVIRga CUNICULI gen. nov., sp. nov., a moderately halophilic bacterium isolated from bioturbated Red Sea mangrove sediment, and proposal of the novel family MaNgROVIVIRgaCeae fam. nov.
Fig. 1. (a) Sediments in the mangrove forest at KAUST bioturbated by Uca species crabs; crab barrows are indicated by yellow arrows. Leaves forming mangrove litter are also visible. Bar, 10 cm. (b) Aquarium filled with mangrove bioturbated sediments and FSW for the incubation of DCs; bar, 6 cm. (c) Aerial view of DCs placed on the surface of mangrove sediments and cover with FSW inside the aquarium; bar, 6 cm.
FIGURE 3 in A new species of Nephochaetopteryx Townsend (Diptera: Sarcophagidae) from the Brazilian Amazon mangrove forest
FIGURE 3. Nephochaetopteryx aryi sp. nov., holotype male (MPEG), terminalia. A. Epandrium, surstylus and cercus, left lateral view. B. Cerci, posterior view (setation omitted on left side). C. Sternite 5, ventral view (setation omitted on left side). D. Gonites, left lateral view. E. Phallus, left lateral view. Abbreviations: bp = basiphallus; ce = cercus; dp = distiphallus; ep = epandrium; ip = inner process of vesica; jx = juxta; ls = lateral stylus; ms = median stylus; pce = projections of cercus; pg = pregonite; pt = postgonite; su = surstylus; ve = vesica. Scale bars: A–C = 0.5 mm; D–E = 0.25 mm.
FIGURE 1. Study area. A in A new species of Nephochaetopteryx Townsend (Diptera: Sarcophagidae) from the Brazilian Amazon mangrove forest
FIGURE 1. Study area. A. Detail of satellite image of South America, with state of Pará highlighted by red box. B. State of Pará. C. Satellite image of the area highlighted by red box in Fig. 1B. D. Satellite image of area highlighted by red box in Fig. 1C. The white star points to the Village of Calafate and the white circle to the mangrove forest where the collections were carried out.
FIGURE 2 in A new species of Nephochaetopteryx Townsend (Diptera: Sarcophagidae) from the Brazilian Amazon mangrove forest
FIGURE 2. Nephochaetopteryx aryi sp. nov., male. A. Habitus of paratype (MPEG, collected 16–18.I.2021), lateral view. B. Terminalia of paratype (MPEG, collected 16–18.XII.2015), posterior view. C. Same, left lateral view. Abbreviations: ce = cercus; ep = epandrium; jx = juxta; pce = projections of cercus; pg = pregonite; pt = postgonite; ve = vesica. Scale bars: A = 0.7 mm; B–C = 0.5 mm.
Mangrove deforestation and degradation areas in Indonesia 2009-2019
<p>Mangrove forests are important carbon sinks and this is especially true for Indonesia where about 24% of the world's mangroves exist. Unfortunately, vast expanses of these mangroves have been deforested, degraded or converted to other uses resulting in significant greenhouse gas emissions. The objective of this study was to quantify the climate change mitigation potential of mangrove conservation and restoration in Indonesia. We calculated the emission factors from the dominant land uses in mangroves, determined mangrove deforestation rates and quantified the total emissions and the potential emission reductions that could be achieved from mangrove conservation and restoration. Based upon our analysis of the carbon stocks and emissions from land use in mangroves we found: (1) Indonesia's mangrove ecosystem carbon stocks are amongst the highest of any tropical forest type; (2) mangrove deforestation results in greenhouse gas emissions that far exceed that of upland tropical deforestation; (3) in the last decade the rates of deforestation in Indonesian mangroves have remained high; and (4) conservation and restoration of mangroves promise to sequester significant quantities of carbon. While mangroves comprise only ≈2.6% of Indonesia's total forest area, their degradation and deforestation accounted for ≈10% of total greenhouse gas emissions arising from the forestry sector. The large source of greenhouse gas emissions from a relatively small proportion of the forest area underscores the value for inclusion of mangroves as a natural climate solution (NCS). Mangrove conservation is far more effective than mangrove restoration in carbon emissions reductions and an efficient pathway to achieve Indonesia's nationally determined contribution (NDC) targets. The potential emission reduction from halting deforestation of primary and secondary mangroves coupled with restoration activities could result in an emission reduction equivalent to 8% of Indonesia's 2030 NDC emission reduction targets from the forestry sector.</p>
Predicting changes in molluscan spatial distributions in mangrove forests in response to sea-level rise
<p class="MsoNormal"><span>Molluscs are an important component of the mangrove ecosystem, and the vertical distributions of molluscan species in this ecosystem are primarily dictated by tidal inundation. Thus, sea-level rise (SLR) may have profound effects on mangrove mollusc communities. Here, we used dynamic empirical models, based on measurements of surface elevation change, sediment accretion, and molluscan zonation patterns, to predict changes in molluscan spatial distributions in response to different sea-level rise rates in the mangrove forests of Zhenzhu Bay (Guangxi, China). The change in surface elevation was 4.76–9.61 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span> during the study period (2016–2020), and the magnitude of surface-elevation change decreased exponentially as original surface elevation increased. Based on our model results, we predicted that mangrove molluscs might successfully adapt to a low rate of SLR (2.00–4.57 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span>) by 2100, with molluscs moving seaward and those in the lower intertidal zones expanding into newly available zones. However, as SLR rate increased (4.57–8.14 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span>), our models predicted that surface elevations would decrease beginning in the high intertidal zones and gradually spread to the low intertidal zones. Finally, at high rates of SLR (8.14–16.00 mm yr</span><sup><span>−</span></sup><sup><span>1</span></sup><span>), surface elevations were predicted to decrease across the elevation gradient, with molluscs moving landward and species in higher intertidal zones blocked by landward barriers. Tidal inundation and the consequent increases in interspecific competition and predation pressure were predicted to threaten the survival of many molluscan groups in higher intertidal zones, especially arboreal and infaunal molluscs at the landward edge of the mangroves, resulting in a substantial reduction in the abundance of original species on the landward edge. Thus, future efforts to conserve mangrove floral and faunal diversity should prioritize species restricted to landward mangrove areas and protect potential species habitats.</span></p>
Distribution. Coastal areas and large inland rivers of West Africa from the Senegal River at the Mauritania—Senegal border S to the Longa River in Angola. They occur as far as 2000 km from the ocean in the Inner Niger Delta of Mali, up to 75 km off the continental shore in the shallows and mangrove creeks of the Bijagos Archipelago of Guinea-Bissau, and as far E as Lake Tréné in Chad; formerly in Lake Chad itself. in Trichechidae
Distribution. Coastal areas and large inland rivers of West Africa from the Senegal River at the Mauritania—Senegal border S to the Longa River in Angola. They occur as far as 2000 km from the ocean in the Inner Niger Delta of Mali, up to 75 km off the continental shore in the shallows and mangrove creeks of the Bijagos Archipelago of Guinea-Bissau, and as far E as Lake Tréné in Chad; formerly in Lake Chad itself.
Future changes in mangrove coastal water properties
<p>This dataset contains data on future changes in sea-surface water properties along the global distribution of mangrove forests. This includes the coordinates of mangrove occurence and associated information on present (2000-2014) and future (2090-2100) sea-surface temperature (SST), sea-surface salinity (SSS), and sea-surface density (SSD, derived from SST and SSS, using the UNESCO EOS-80 equation of state polynomial for seawater - 'sw_dens.m' in MATLAB). SST and SSS fields from which the data were extracted, are from the Bio-ORACLE database. Additionally, for each of the mangrove occurence points (longitude, latitude), information is provided about the main mangrove biogeographical region and associated province as provided in the Marine Ecoregions of the World dataset (Spalding et al., 2007, <em>BioScience</em>), alowing for a spatial analysis of the data. More information and details about the data are provided in the README sheet of the Excel data file.</p>
FIGURE 4 in Salmoneus shojaei, a new species of mangrove-dwelling alpheid shrimp (Decapoda: Caridea) from Iran
FIGURE 4. Salmoneus shojaei sp. nov., shrimps in life. (A) paratype, non-ovigerous specimen from Khamir Port, Iran (MNHN- IU-2014-1259); (B) paratype, non-ovigerous specimen from the same locality (FLMNH UF 60587). Photographs by Mr. Rashed Abdollahi.
FIGURE 3 in Salmoneus shojaei, a new species of mangrove-dwelling alpheid shrimp (Decapoda: Caridea) from Iran
FIGURE 3. Salmoneus shojaei sp. nov., holotype, ovigerous specimen (cl 5.33 mm) from Khamir Port, Iran (MNHN-IU-2014- 1257). (A) third maxilliped, ventro-lateral view; (B) second pereiopod, lateral view; (C) third pereiopod, lateral view; (D) fourth pereiopod, lateral view; (E) fifth pereiopod, lateral view.
FIGURE 2 in Salmoneus shojaei, a new species of mangrove-dwelling alpheid shrimp (Decapoda: Caridea) from Iran
FIGURE 2. Salmoneus shojaei sp. nov., holotype, ovigerous specimen (cl 5.33 mm) from Khamir Port, Iran (MNHN-IU-2014- 1257). (A) major cheliped, lateral view; (B) same, distal portion of carpus and chela, lateral view; (C) same, mesial view; (D) minor cheliped, lateral view; (E) same, chela, lateral view.
FIGURE 1 in Salmoneus shojaei, a new species of mangrove-dwelling alpheid shrimp (Decapoda: Caridea) from Iran
FIGURE 1. Salmoneus shojaei sp. nov., holotype, ovigerous specimen (cl 5.33 mm) from Khamir Port, Iran (MNHN-IU-2014- 1257). (A) anterior part of carapace and left cephalic appendages, lateral view; (B) same, dorsal view; (C) pleon, lateral view; (D) telson and uropods, dorsal view.
FIGURE. Landscapes and vegetation types at Quiçama National Park. A. Wooded savannah with Adansonia digitata. B. Mosaic of wooded savannah and thicket. C. Grassy savannah. D. Slope with thicket. E. Grassy savanna with Setaria welwitschi. F. Wooded savannah. G. Cuanza River shores with herbaceous vegetation. H. Herbaceous vegetation on the banks of the Cuanza River and slope with open forest. I. Coastal sands. J. Mangrove at the Cuanza River estuary, with Rhizophora racemosa. (Photographs by the authors). in An annotated checklist of the vascular flora of Quiçama National Park, Angola
FIGURE. Landscapes and vegetation types at Quiçama National Park. A. Wooded savannah with Adansonia digitata. B. Mosaic of wooded savannah and thicket. C. Grassy savannah. D. Slope with thicket. E. Grassy savanna with Setaria welwitschi. F. Wooded savannah. G. Cuanza River shores with herbaceous vegetation. H. Herbaceous vegetation on the banks of the Cuanza River and slope with open forest. I. Coastal sands. J. Mangrove at the Cuanza River estuary, with Rhizophora racemosa. (Photographs by the authors).
FIGURE 8. Wolffogebia inermis K. Sakai, 1982 from C in Mud shrimps of the genus Wolffogebia Sakai, 1982 (Decapoda: Gebiidea Upogebiidae) with the description of a new species from the Cần Giớ Mangrove Biosphere Reserve, South Vietnam
FIGURE 8. Wolffogebia inermis K. Sakai, 1982 from Cần Giớ Mangrove Biosphere Reserve, South Vietnam, ♂, ZMMU Ma-6225: a—anterior carapace, lateral view; b—anterior carapace, dorsal view; c—right pereopod 1 (cheliped), external view; d—same, dactylus and distal part of chela, external view; e—same, mesial view; f—same, dactylus and distal part of chela, mesial view; g—telson and left uropods, dorsal view.
FIGURE 9 in Mud shrimps of the genus Wolffogebia Sakai, 1982 (Decapoda: Gebiidea Upogebiidae) with the description of a new species from the Cần Giớ Mangrove Biosphere Reserve, South Vietnam
FIGURE 9. Phylogenetic reconstructions (trees) of the family Upogebiidae based on available sequences of COI mtDNA gene marker with the higher bootstrap probability: BI—Bayesian Interference; ML—Maximum Likehood. Different types of gills are indicated as A, B, C (after Ngoc-Ho, 1981). The genera within the family Upogebiidae (except Upogebia) are indicated with color. Mud shrimps of the genus Thalassina (Thalassinidae, Gebiidea) and Laomedia spp. (Laomedidae, Gebiidea) are used as an outgroup (colored in green).
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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
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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.