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1,071 results for “Mangroves”
FIGURE 2 in Aerofilum fasciculatum gen. nov., sp. nov. (Oculatellaceae) and Euryhalinema pallustris sp. nov. (Prochlorotrichaceae) isolated from an Indian mangrove forest
FIGURE 2. Light microscopy of strain AP3 and AP3b (non-axenic cultures). a and b. Microphotographs showing the filaments of strain AP3. c and d. Microphotographs showing the filaments of strain AP3b. Filaments observed in a & c were from exponential phase and in b & d were from stationary phase of the growth period for the respective strains. Scale = 10 µm
FIGURE 6 in Aerofilum fasciculatum gen. nov., sp. nov. (Oculatellaceae) and Euryhalinema pallustris sp. nov. (Prochlorotrichaceae) isolated from an Indian mangrove forest
FIGURE 6. Comparative analysis of D1-D1' helix, Box-B and V2 helix of 16S-23S ITS region of test strain AP3 (Euryhalinema pallustris) and reference strain Euryhalinema mangrovii. a-b. D1-D1' helix. c-d. Box-B helix. e-f. V2 helix
FIGURE 3 in Aerofilum fasciculatum gen. nov., sp. nov. (Oculatellaceae) and Euryhalinema pallustris sp. nov. (Prochlorotrichaceae) isolated from an Indian mangrove forest
FIGURE 3. Scanning electron microscopy of strains AP3 and AP3b. a, c and d. Filaments of strain AP3. b. Filaments of strain AP3b (nonaxenic) showing a hormogonium and a necridic cell. e and f. Filaments of strain AP3b showing presence of a facultative mucilaginous sheath. hg = hormogonium; nc = necridic cell; ms = mucilaginous sheath
FIGURE 5 in Aerofilum fasciculatum gen. nov., sp. nov. (Oculatellaceae) and Euryhalinema pallustris sp. nov. (Prochlorotrichaceae) isolated from an Indian mangrove forest
FIGURE 5. Phylogenetic tree based on 16S rRNA gene sequences of total 115 OTUs belonging to 3 families of Synechococcalean order and Gloeobacter violaceus as outgroup. Bootstrapping with 1000 resamplings was performed. Support values are ML bootstrap/ BI posterior probability. Scores denoted by '-' for any node showed no support in that analysis. The investigated strains with clones (AP3 and AP3b) are shown in bold. Taxon name in quotation mark, e.g. "Calothrix" in our opinion represents an incorrectly submitted sequence and requires revision. Collapsed clades can be viewed expanded in Fig. S1. Designation of families according to Mai et al. (2018).
Turbulence in Natural Mangrove Pneumatophore Canopies - Data Set
<p>Raw and processed data files (format: zipped .mat files) for plotting Figures 3 - 15 in our paper entitled "Turbulence in Natural Mangrove Pneumatophore Canopies" published in the Journal of Geophysical Research: Oceans in 2018. </p>
Figure 7 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 7. Jaccard and Bray-Curtis dissimilarity values calculated from (A) occurrence data and (B) abundance data of Sarcophagidae, by areas and environments in Maranhão, Northeast Brazil. Taxonomic and species diversity was partitioned into the representative components of richness difference ('βrich', black boxes) and species replacement ('βrepl', grey boxes) between areas.
Figure 5 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 5. Mean and standard error of tree cover (%), number of species and abundance in each locality. M: mangrove; AF: Amazon Forest; 1: Maracanã, 2: Sítio Aguahy; 3: Anajatiua; %: relative abundance.
Figure 6 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 6. Diversity profiles by the ordering of Rényi series for each environment and each study area in Maranhão state, Northeast Brazil.
Figure 3 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 3. Observed cumulative curves (solid line) and extrapolation to double the number of samples (dashed line) of Sarcophagidae species by study area in Maranhão state, Northeast Brazil. 1: Anajatiua; 2: Maracanã; 3: Sítio Aguahy; F: forest; M: mangrove.
Figure 4 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 4. Association of tree cover (%) with (a) number of species and (b) abundance of sarcophagids in each sampling point of mangrove and forest.
Figure 2 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 2. Study areas on São Luís Island, Maranhão state (left and middle) and canopy cover images showing the distance between Amazon Forest and mangrove areas (right): (a) Anajatiua; (b) Maracanã; (c) Sítio Aguahy; (1) mangrove; (2) forest; (3) canopy cover images. Yellow points: traps in mangrove area; red points: traps in forest area.
Figure 1 in Sarcosaprophagous flesh flies (Diptera: Sarcophagidae) are less diverse in Amazon Forest than mangroves in Northeast Brazil: preliminary insights about environmental heterogeneity
Figure 1. Locations (Anajatiua, Maracanã and Sítio Aguahy) where sampling was performed in January/February 2016 and August/September 2017 on São Luís Island in the Brazilian state of Maranhão.
Pearl River Delta FVCOM model mangrove forests scenarios
<p>Model data presented in: De Dominicis, M., Wolf, J., van Hespen, R., Zheng, P., Hu. Z. "Mangrove forests can be an effective coastal defence in the Pearl River Delta, China", <em>Communications Earth & Environment</em> (2023).</p> <p>To explore the effects of vegetation on storm surge dynamics and currents, we used a Finite Volume Community Ocean Model implementation for the South China Sea and the Pearl River Delta and simulated Typhoon Hato (2017) one of the strongest typhoons to affect the coastal areas of the Pearl River Delta in recent decades. We numerically modelled the protection capability of the mangrove wetlands in Shenzhen Bay and in the upper estuary river branches close to Guangzhou to determine their ability to mitigate coastal flooding. Additionally, we analyzed how the effectiveness of mangroves changes under different sea level rise scenarios. </p> <p>The dataset consists of water elevation and horizontal currents for 40 model experiments (see Table 1 in De Dominicis et al, 2023).</p>
FIGURE 7 in Mangrovomyia, a new genus of long-legged flies from Iranian mangroves (Diptera: Dolichopodidae: Hydrophorinae)
FIGURE 7. Govater, Sistan & Balouchestan province; collection site for Mangrovomyia mofidii sp. nov. Photograph courtesy M. Mofidi.
FIGURE 3 in Mangrovomyia, a new genus of long-legged flies from Iranian mangroves (Diptera: Dolichopodidae: Hydrophorinae)
FIGURE 3. Mangrovomyia naserzadehae sp. nov., male (A–F), female (G). A. Wing. B. Apex of abdomen, lateral view. С, E. Hypopygium, lateral view. D. Hypopygium, ventrolateral view. F. Hypopygium, ventral view. G. Habitus. Abbreviations: cerc—cercus; epand—epandrium; epand lb—epandrial lobe; for—epandrial foramen; hypd—hypandrium; ph—phallus; sur— surstylus.
FIGURE 6 in Mangrovomyia, a new genus of long-legged flies from Iranian mangroves (Diptera: Dolichopodidae: Hydrophorinae)
FIGURE 6. Nayband Gulf, Asaluyeh, Bushehr province; collection site for Mangrovomyia naserzadehae sp. nov. Photograph by E. Gilasian.
FIGURE 2 in Mangrovomyia, a new genus of long-legged flies from Iranian mangroves (Diptera: Dolichopodidae: Hydrophorinae)
FIGURE 2. Mangrovomyia naserzadehae sp. nov., male. A. Fore leg, posterior view. B. Fore knee. С. Fore tibia and basitarsus, anterior view. D. Fore tibia and tarsus, dorsal view. E. Mid femur, anterior view. F. Mid tibia and tarsus, anterior view. G. Hind femur, anterior view. H. Hind tibia and tarsus, anterior view. I. Mesonotum, dorsal view. J. Wing base. K. Wing, middle part. Abbreviations: vts—vertical seta; pvts—postvertical seta.
FIGURE 1 in Mangrovomyia, a new genus of long-legged flies from Iranian mangroves (Diptera: Dolichopodidae: Hydrophorinae)
FIGURE 1. Mangrovomyia naserzadehae sp. nov., male. A. Habitus. B. Head, anterior view. С. Head, lateral view. D. Antenna, median view. E. Antenna, lateral view.
FIGURE 4 in Mangrovomyia, a new genus of long-legged flies from Iranian mangroves (Diptera: Dolichopodidae: Hydrophorinae)
FIGURE 4. Mangrovomyia mofidii sp. nov., female. A. Habitus. B. Head, anterior view. С. Antenna, lateral outer view. D. Fore leg, posterior view. E. Mid tibia and tarsus, anterior view. F. Mesonotum, dorsal view. G. Wing. H. Oviscapt, posterior view.
A global analysis of coral bleaching patterns in association with mangrove environments under global warming
<p><span>Marine heatwaves caused by global warming are progressively degrading coral reefs worldwide via the process of coral bleaching – the expulsion of photosynthetic endosymbionts.</span> However, coral bleaching is not spatially homogeneous, but varies across environmental gradients in association with local conditions and taxonomic composition. Emerging evidence suggests that mangrove habitats are recurrent "microenvironments" for reef corals, providing key biogeochemical services believed to influence their resilience, and housing co-tolerant coral taxa. This close association between coral reefs and mangroves has led to the hypothesis that the extent of coral bleaching is reduced by the proximity of reef building corals to mangroves. Here, we present the first global-scale test addressing this hypothesis. Using Bayesian Generalised Linear Mixed Effect modelling, we show that coral bleaching tends to increase under higher thermal stress when corals are further away from mangroves. When comparing conditional effects, corals furthest away from mangroves also show the highest levels of bleaching, suggesting a phenomenon of reduced bleaching for corals residing closer to mangroves under thermal stress. The drivers of this pattern may be numerous, but most likely include the presence of co-tolerant coral species which are known to be associated with mangroves. Future research should focus on disentangling the mechanisms underlying these coral bleaching patterns in association with mangroves, specifically focusing on in-situ environmental and taxonomic data collection. These endeavours will most likely require high-resolution analyses of coral reefs at more local-scales. Ultimately, our findings add to the ever-growing importance of mangroves for near-shore coral reef environments, and suggest a potentially important benefit for coral reefs associated with mangroves in the Anthropocene.</p>
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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
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.