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1,071 results for “Mangroves”
Salt-responsive differential gene expression analysis by RNA sequencing in the roots of a mangrove Avicennia officinalis
GEO Series GSE73807. Avicennia officinalis. 4 samples. Type: Expression profiling by high throughput sequencing.
Unravelling Chilling-stress Resistance Mechanisms in Endangered Mangrove Plant Lumnitzera littorea (Jack) Voigt
GEO Series GSE211695. Lumnitzera littorea. 6 samples. Type: Expression profiling by high throughput sequencing.
Identification and Analysis of Red Sea Mangrove (Avicennia marina) microRNAs by High-Throughput Sequencing and their Association with Stress Responses
GEO Series GSE43669. Avicennia marina. 1 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Role of exogenous abscisic acid in freezing tolerance of mangrove Kandelia obovata under natural frost condition at near 32oN
GEO Series GSE219193. Kandelia obovata. 24 samples. Type: Expression profiling by high throughput sequencing.
Molecular responses to freshwater limitation in the mangrove tree Avicennia germinans (Acanthaceae)
GEO Series GSE123659. Avicennia germinans. 18 samples. Type: Expression profiling by high throughput sequencing.
Supplementary Files: Niche differentiation of active methane-oxidizing bacteria in estuarine mangrove forest soils in Taiwan
<p>Figure S1: Phylogeny of <em>pmoA</em> lineages detected in the mangrove forest soils upstream (Guandu) and downstream (Bali) of the Tamsui estuary, Taipei, Taiwan. Methanotrophic communities collected in Zhuwei by <a href="#_ENREF_16">Shiau et al. [16]</a> were also added for comparison. The neighbor-joining tree was constructed using the MEGA X software package. Only bootstrap values greater than 50% are shown at the nodes, Figure S2: Phylogeny of 16s rRNA lineages detected in the mangrove forest soils upstream (Guandu) and downstream (Bali) of the Tamsui estuary, Taipei, Taiwan. The neighbor-joining tree was constructed using the MEGA X software package. Only bootstrap values greater than 50% are shown at the nodes.</p>
Data from: Herbivory enhances the resistance of mangrove forest to cordgrass invasion
The biotic resistance hypothesis proposes that biotic interactions, such as competition and herbivory, resist the establishment and spread of non-native species. The relative and interactive role of competition and herbivory in resisting plant invasions, however, remains poorly understood. We investigated the interactive role of competition and herbivory (by the native rodent Rattus losea) in resisting Spartina alterniflora (cordgrass) invasions into mangrove forests. In southern China, although exotic cordgrass numerically dominates intertidal mudflats and open gaps in mangrove forests, intact forests appear to be highly resistant to cordgrass invasion. A field transplant and rodent exclusion experiment showed that while the impact of rodent grazing on cordgrass was weak on mangrove forest edges and open mudflats, rodent grazing strongly suppressed cordgrass in mangrove understory habitats. A greenhouse experiment confirmed a synergistic interaction between grazing and light availability (a proxy for mangrove shading/competition) in suppressing cordgrass establishment, with the strongest impacts of grazing in low light conditions that likely weakened cordgrass to survive and resprout. When both were present, as in mangrove understory habitats, grazing and low light acted in concert to eliminate cordgrass establishment, resulting in resistance of mangrove forests to cordgrass invasion. Our results reveal that grazing by native herbivores can enhance the resistance of mangrove forests to cordgrass invasion in southern China, and suggest that investigating multifactor interactions may be critical to understanding community resistance to exotic invasions.
Resting height of arboreal Littoraria in mangrove ecosystem
<p><span>In April 2017, a preliminary experiment was conducted near transect C. Firstly, we captured the elevation changes across the transect using a Global Navigation Satellite System-Real Time Kinematic GPS (G970 GNSS RTK, UniStrong Inc.) with a 5-10 meters distance interval, standardizing all elevation data to a baseline where the local mean sea level was set to zero. We established sites at 25 cm vertical intervals within an elevation range of 0-150 cm. At each site, plots with 5×5 m² were established, then we recorded the resting height of all observed arboreal mollusks, identifying and removing each individual post-recording to prevent duplicate records. Upon completing each plot survey, these individuals were released. This pre-experiment surveyed a total of nine plots. Through data analysis, we selected three <em>Littoraria</em> species, <em>L. ardouiniana</em>, <em>L. melanostoma</em> and <em>L. scabra</em>, as the focal species for subsequent surveys due to their widespread presence, high frequency, and abundance within the study area. These three species are easily distinguishable morphologically, which minimized the risk of potential misidentification. During this survey, we found that at each site, it became difficult to discover new individuals after about 40 minutes to 1 hour of observation. Following the same methodology, six transects were established in July 2018, spanning approximately 400-700 meters each. Due to variations in the length and elevation changes of each transect, 4-9 plots were set up along each, totaling 36 plots. PVC pipes were used to mark the corners of each plot. In December 2018, these 36 plots were surveyed again. Each survey point was assigned three volunteers, comprising two groups in total; each location was searched for over 40 minutes.</span></p>
Field measurement data for the mangroves bordering the lagoons of La Mancha and El Llano, Mexico
<p><span>Between</span><span> 27 June </span><span>and</span><span> 13 July 2022, a </span><span>total</span><span> </span><span>of</span><span> 11 </span><span>f</span><span>ield plot</span><span>s were investigated, where</span><span> </span><span>six</span><span> plots were located at </span><span>El Llano</span><span> lagoon, and </span><span>five</span><span> at </span><span>La Mancha</span><span> lagoon. </span><span>Plot </span><span>size</span><span> </span><span>varied in relation to stand density. In the </span><span>l</span><span>agoon of </span><span>El</span><span> </span><span>L</span><span>lan</span><span>o,</span><span> </span><span>three</span><span> plots of 10 × </span><span>1</span><span>0 m</span><span> </span><span>were delimited in the west of the lagoon and </span><span>three plots of the same size</span><span> on the east, neighbouring a system </span><span>o</span><span>f stabilized dunes. </span><span>In La Mancha</span><span> lagoon</span><span>, </span><span>two</span><span> plots of </span><span>1</span><span>0 × </span><span>1</span><span>0 m</span><span> and two 15</span><span> × </span><span>15</span><span> m</span><span> subplots of 30</span><span> × </span><span>30</span><span> m</span><span> permanent plots located in the north, and one plot of 2</span><span>0 × </span><span>2</span><span>0 m</span><span> </span><span>for large <em>R. mangle</em> trees</span><span> were sampled in the southeast of the lagoon. </span><span>Species id, stem diameter (cm) at 1.3 m from ground surface, and tree height (m) were recorded within each plot</span><span>. Additionally,</span><span> trunk diameter at lowest living branch, canopy width and length in the case of shrubs or young trees, and diameter above the highest prop root in the case of <em>R. mangle </em>were also recorded.</span></p>
Mangrove Flora and Molluscs in the Tropical Hainan Island
<p><span>Mangrove plant diversity and the diversity of molluscs, an important zoobenthos group, across 10 mangrove nature reserves on Hainan Island, China.</span></p>
Experimental tests of pollinator dependence in Avicennia germinans, the black mangrove
<p><em>Avicennia germinans </em>(L.) L. (Black Mangrove) is a common, sometimes dominant member of intertidal vegetation in tropical and subtropical regions of the Americas and West Africa. Its flowers are known to be attractive to animals – there are records of a variety of floral visitors – and it is widely believed to be zoophilous, but the degree to which it relies on pollinators for full fruit set is not entirely clear. Molecular methods have revealed that <em>A. germinans</em> is self-compatible; however, it has not been definitively shown whether this self-pollination occurs via spontaneous autogamy, via pollinator-mediated fertilization of flowers with either their own pollen or pollen from neighboring flowers on the same plant (geitonogamy), or via both mechanisms. This study's objective was to assess the ability of <em>A. germinans</em> to spontaneously self-pollinate, and to determine if <em>A. germinans </em>is capable of setting fruit in the absence of pollinators.</p>
Mineral Content and Concentration with Fruit Weight from Five Sonneratia Mangroves
<p><span>Mangrove ecosystems are critical coastal habitats, marked by intricate interactions between environmental factors and plant physiological processes. Managing mineral element concentrations is essential for mangrove plants to adapt to saline coastal wetlands. However, the patterns of mineral element changes during the development of non-viviparous propagules in mangroves are not well understood. To fill this knowledge gap, this study examines <em>Sonneratia</em> species co-existing in the same habitat, focusing on the variations in Ca, Cl, K, Mg, and Na content and concentration as the fruits develop. Our findings show that mineral element concentrations in <em>Sonneratia</em> fruits consistently have a statistically significant (p<0.05) nonlinear negative relationship with fruit weight, with log-log linear model slopes ranging from -0.47 to -0.06. The total content of all mineral elements exhibits a statistically significant (p<0.05) sublinear allometric relationship with fruit weight, with log-log linear model slopes between 0.53 and 0.94. These results indicate that as fruits increase in size, the element concentration decreases more slowly compared to the increase in fruit weight. This study provides deeper insights into the physiological adaptations of <em>Sonneratia</em> mangroves during fruit development. </span></p>
Dataset of intra-annual variation in litterfall for five mangrove species
<p>The dataset of litterfall collected using litter traps in the Dongzhaigang Mangrove National Nature Reserve, Hainan Island, China. The data collection spans the entire year of 2011, with samples collected approximately every 15 days.</p>
DFW Mangroves - RGB (June 25 2024)
<p>This orthomosaic of Saipan was created from 143 images taken on June 25 2024, at 300 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using DroneDeploy.<br><br></p> <p>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087)."</p>
Figure 1 from: Ribeiro RP, Alves PR, Almeida ZS, Ruta C (2018) A new species of Paraonis and an annotated checklist of polychaetes from mangroves of the Brazilian Amazon Coast (Annelida, Paraonidae). ZooKeys 740: 1-34. https://doi.org/10.3897/zookeys.740.14640
Figure 1 Study area. Buenos Aires and Tronco creeks in Maranhão, Brazilian Amazon Coast.
Figure 1 from: Robertson DR, Domínguez-Dominguez O, Aroyo YML, Mendoza RM, Simões N (2019) Reef-associated fishes from the offshore reefs of western Campeche Bank, Mexico, with a discussion of mangroves and seagrass beds as nursery habitats. ZooKeys 843: 71-115. https://doi.org/10.3897/zookeys.843.33873
Figure 1 General location of study reefs on Campeche Bank. Base map by NASA.
Figure 1 in Diversity of Ctenophores in the Sundarban Mangroves, Northern Indian Ocean
Figure 1. Map showing the study area.
Dataset for Leaf Demography of Three Tropical Rhizophoraceae Mangrove Species
<p>Litterfall was collected bi-monthly throughout 2011 using circular litter traps with a 1 mm mesh size and a 0.4 m radius. During each collection, the number of leaves and stipules was recorded. A total of 24 observations were conducted across three species, with simultaneous observations in five plots for each species. The study was conducted at the Dongzhaigang Mangrove National Nature Reserve (DZG), located in the northeastern part of Hainan Island (110.54°E, 19.99°N).</p>
A Dataset for Applying Machine Learning and Eddy Covariance Approaches to Model Mangrove Carbon Production (ML-MCP)
<p>The Mangrove Carbon Production (ML-MCP) dataset (daily time scale) encompasses comprehensive measurements of carbon production in mangrove ecosystems from four EC tower station in the USA and China, derived using advanced machine learning models and eddy covariance techniques. This dataset includes various variables such as carbon fluxes, environmental factors. By integrating machine learning algorithms, the dataset enhances the accuracy of carbon productivity estimations, facilitating better understanding and management of mangrove ecosystems' role in carbon sequestration and climate regulation.</p>
Fig. 14 in NGS-barcodes, haplotype networks combined to external morphology help to identify new species in the mangrove genus Ngirhaphium Evenhuis & Grootaert, 2002 (Diptera: Dolichopodidae: Rhaphiinae) in Southeast Asia
Fig. 14. Maximum likelihood tree of Ngirhaphium based on NGS barcodes (COI, 313bp).
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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
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.