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22 results for “Mangrove soils”

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edi52/100

Mangrove Soil Chemistry Shark River Slough and Taylor Slough, Everglades National Park (FCE), from December 2000 to May 23, 2002

Physicochemical variables in soils from stations SRS-4-6 and TS/Ph6-8 were sampled in the period December 2000-May 2002. Salinity, temperature, pH, Redox, and sulfide concentrations were measured in 4 stations (sampling units) located in adjacent 10 x 10 m plots (in a 20 x 20 m block). Statistical analyses are in progress.

openCC (other)Feb 2024View details →
zenodo48/100

Global mangrove soil carbon data set at 30 m resolution for year 2020 (0-100 cm)

<p>Global soil organic carbon stocks in mangrove forests at 30 m resolution, and predicted for 2020 using spatiotemporal ensemble machine learning. Soil organic carbon stock (t/ha) was derived using predictions of soil organic carbon content and bulk density (BD) to 1 m soil depth, which were then aggregated to calculate soil organic carbon stocks.</p> <p>The &quot;mangroves_tiles_SOC_predictions_2020.zip&quot; file contains predictions of SOC content, Bulk Density (BD) and aggregated SOC stocks (t/ha) for 0&mdash;100 cm depth interval. Example of a tile:</p> <ul> <li>089E_21N (89E to 90E, 21N to 22N): <ul> <li>sol_db.od_mangroves.typology_m_30m_s0..100cm_2020_global_v0.1.tif = predicted BD aggregated to 0&mdash;100 cm;</li> <li>sol_soc.wpct_mangroves.typology_m_30m_s0..0cm_2020_global_v1.1.tif = predicted SOC content (%) at 0 cm depth (surface soil);</li> <li>sol_soc.wpct_mangroves.typology_m_30m_s0..100cm_2020_global_v1.1.tif = predicted SOC content (%) for 0&mdash;100 cm;</li> <li>sol_soc.tha_mangroves.typology_m_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha (mean value);</li> <li>sol_soc.tha_mangroves.typology_l.std_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha lower 95% probability prediction interval;</li> <li>sol_soc.tha_mangroves.typology_u.std_30m_s0..100cm_2020_global_v0.1.tif = predicted SOC stocks in t/ha upper 95% probability prediction interval;</li> </ul> </li> </ul> <p>Example of a tile:</p> <ul> <li>class&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : RasterLayer</li> <li>dimensions : 4004, 4004, 16032016&nbsp; (nrow, ncol, ncell)</li> <li>resolution : 0.00025, 0.00025&nbsp; (x, y)</li> <li>extent&nbsp;&nbsp;&nbsp;&nbsp; : 88.9995, 90.0005, 20.9995, 22.0005&nbsp; (xmin, xmax, ymin, ymax)</li> <li>crs&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; : +proj=longlat +datum=WGS84 +no_defs</li> <li>source&nbsp;&nbsp;&nbsp;&nbsp; : sol_db.od_mangroves.typology_m_30m_s0..0cm_2002_global_v0.1.tif</li> </ul> <p>To load global mosaics&nbsp;<strong><strong>Soil Carbon t/ha Maps (0&mdash;100cm)</strong></strong> as COGs directly into QGIS or similar, best use:</p> <ul> <li> <p><a href="https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_m_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif">https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_m_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif</a></p> </li> <li> <p><a href="https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_l.std_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif">https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_l.std_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif</a></p> </li> <li> <p><a href="https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_u.std_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif">https://s3.eu-central-1.wasabisys.com/openlandmap/mangroves/sol/soc.tha_tnc.mangroves.typology_u.std_30m_b0..100cm_2019_2020_go_epsg.4326_v1.2.tif</a></p> </li> </ul>

opencc-by-4.0Mar 2023View details →
zenodo48/100

Predicted soil organic carbon stock at 30 m in t/ha for 0-100 cm depth global / update of the map of mangrove forest soil carbon

<p>This is the 2nd update of maps produced by&nbsp;<a href="https://doi.org/10.1088/1748-9326/aabe1c">Sanderman et al (2018)</a>. The improvements to the <a href="https://opengeohub.github.io/spatial-prediction-eml/spatiotemporal-prediction-of-soil-organic-carbon.html">3D spatial predictions</a> include:</p> <ul> <li> <p>new updated global mangrove coverage map (contact Thomas Worthington),</p> </li> <li> <p>spatiotemporal predictions to account for differences in spectral reflectance at the time of field work,</p> </li> <li> <p>additional SOC points <a href="https://static-content.springer.com/esm/art%3A10.1038%2Fs41558-018-0162-5/MediaObjects/41558_2018_162_MOESM2_ESM.xlsx">published in Rovai et al. (2018)</a>&nbsp;used in model training (see gpkg file).</p> </li> </ul> <p>To open map in QGIS or similar, drag and drop the *.tif files. You can than add also the gpkg file contain the training points.</p> <p>Production steps (ensemble predictions using SuperLearner) are explained in detail at:&nbsp;</p> <ul> <li>R code:&nbsp;<a href="https://github.com/whrc/Mangrove-Soil-Carbon/">https://github.com/whrc/Mangrove-Soil-Carbon/</a>&nbsp;(see &quot;R_code/GMW_mangroves_SOC_30m.R&quot;)</li> <li>Tutorial:&nbsp;<a href="https://envirometrix.github.io/PredictiveSoilMapping/soilmapping-using-mla.html#ensemble-predictions-using-superlearner-package">&quot;Predictive Soil Mapping with R&quot;</a></li> </ul> <p>Produced&nbsp;for the purpose of Mangrove Restoration Potential Map funded by The&nbsp;Nature Conservancy and IUCN. Contact TNC: Emily Landis&nbsp;&lt;<a href="mailto:elandis@TNC.ORG">elandis@TNC.ORG</a>&gt;.&nbsp;Contact IUCN / University of Cambridge: Thomas Worthington &lt;<a href="mailto:taw52@cam.ac.uk">taw52@cam.ac.uk</a>&gt;.</p> <ul> <li>The mangrove restoration potential map is available at: <a href="https://www.researchgate.net/deref/http%3A%2F%2Fmaps.oceanwealth.org%2Fmangrove-restoration%2F">http://maps.oceanwealth.org/mangrove-restoration/</a></li> </ul>

opencc-by-sa-4.0Oct 2018View details →
edi48/100

Mangrove soil phosphorus addition experiment from June 2013 to August 2013 at the mangrove peat soil mesocosms (FCE), Key Largo, Florida - Nutrients in Porewater, Soil and Roots

Sea levels in South Florida are conservatively predicted to rise by 0.60 m by 2060. The key mechanisms that maintain coastal peatland elevation against increasing sea level are organic matter accumulation via plant production and mineral sedimentation rates (Smoak et al. 2013). Although coastal mangrove soils are regularly inundated with seawater, little is know about the drivers of carbon sequestration (above or below ground) versus atmospheric efflux under different conditions of salinity and elevated phosphorus (P) associated with sea-level rise and storm surge. A recent study using mangrove peat soils found that seawater inundation reduced soil carbon efflux losses and salinity concentration had little effect on carbon retention or loss pathways. The next logical steps are to understand how plant-soil interactions affect above and below ground carbon processes, as well as how increases in P associated with storm surge from the Gulf of Mexico will influence physical, chemical and biological components of mangrove soils that are associated with above and belowground carbon processes. We will manipulate P in inundated peat soil mesocosms with disturbed and undisturbed red mangrove (Rhizophora mangle) seedlings to identify some of the fundamental mechanisms of soil elevation and carbon cycling given expected increases in seawater-based P availability in South Florida coastal mangroves.

openCC (other)Jan 2019View details →
edi48/100

Mangrove soil phosphorus addition experiment from July 2013 to August 2013 at the mangrove peat soil mesocosms (FCE), Key Largo, Florida - Nutrients in Surface Water and Aboveground Biomass

Sea levels in South Florida are conservatively predicted to rise by 0.60 m by 2060. The key mechanisms that maintain coastal peatland elevation against increasing sea level are organic matter accumulation via plant production and mineral sedimentation rates (Smoak et al. 2013). Although coastal mangrove soils are regularly inundated with seawater, little is know about the drivers of carbon sequestration (above or below ground) versus atmospheric efflux under different conditions of salinity and elevated phosphorus (P) associated with sea-level rise and storm surge. A recent study using mangrove peat soils found that seawater inundation reduced soil carbon efflux losses and salinity concentration had little effect on carbon retention or loss pathways. The next logical steps are to understand how plant-soil interactions affect above and below ground carbon processes, as well as how increases in P associated with storm surge from the Gulf of Mexico will influence physical, chemical and biological components of mangrove soils that are associated with above and belowground carbon processes. We will manipulate P in inundated peat soil mesocosms with disturbed and undisturbed red mangrove (Rhizophora mangle) seedlings to identify some of the fundamental mechanisms of soil elevation and carbon cycling given expected increases in seawater-based P availability in South Florida coastal mangroves.

openCC (other)Jan 2019View details →
edi48/100

Sediment and nutrient deposition and plant-soil phosphorus interactions associated with Hurricane Irma (2017) in mangroves of the Florida Coastal Everglades (FCE LTER), Florida

We quantified how Hurricane Irma influenced soil nutrient pools, vertical accretion, and plant phosphorus (P) uptake after its passage across the Florida Coastal Everglades in September 2017. Mangrove leaf litter data from three years (2008, 2014, 2018) were selected for each site at Shark River estuary to identify species-specific foliar P responses post-Wilma’s impact in 2005 and immediate post-Irma’s impact in 2017. We also monitored porewater SRP concentrations in the Shark River mangrove sites to evaluate the effect of Hurricane Irma on soil chemistry. The data in this data package were used in the following paper: Castañeda-Moya, E., V.H. Rivera-Monroy, R.M. Chambers, X. Zhao, L. Lamb-Wotton, A. Gorsky, E.E. Gaiser, T.G. Troxler, J.S. Kominoski, and M. Hiatt. 2020. Hurricanes fertilize mangrove forests in the Gulf of Mexico (Florida Everglades, USA). PNAS. In Press.

openCC0Feb 2020View details →
edi48/100

Mangrove soil biogeochemistry and geomorphology data from Biscayne National Park, Florida, USA, 2011 - 2024

We quantified long-term changes in tidal hydrology and surface soil elevation (2011-2024) across two representative fringe mangrove forest sites (BISC-1, BISC-2) in Biscayne National Park (Florida, USA). We measured the spatiotemporal variation of monthly wrack deposition, litter breakdown rates, soil organic carbon, and stable isotope δ13C and δ15N content along landward transects in Biscayne National Park (Florida, USA) from 2022 to 2024. We surveyed marine wrack deposition biovolume monthly using a quadrat in plots along our transects. At each marine wrack survey plot, we collected soil cores seasonally to measure soil physicochemistry. Finally, we deployed leaf litter decomposition mesh bags with Rhizophora mangle leaf litter, Thalassia testudinum leaf litter, and teabag standards to quantify breakdown rates on the soil surface of each marine wrack survey plot. Data collection is complete.

openCC (other)Feb 2026View details →
zenodo44/100

Root phytohormone levels of mangrove seedlings grown in soils of low and high bulk density

<p>These data contain information on root traits and concentrations of multiple hormones in root tissue of two mangrove species grown under low and high soil bulk density conditions. Inhibitors were used to assess the role of the phytohormone ethylene.</p> <h2>Description of the data and file structure</h2> <p>The root trait file contains total root length (cm), mean root length (cm), root dry weight (g), and root number data for two mangrove species (Avicennia marina, Rhizophora stylosa) grown under two different soil bulk densities: 0.2 and 1.0 g cm^-3. Treatment refers to the application of ethylene inhibitors (CoCl2: cobalt chloride, AIB: aminoisobutyric acid, control).</p> <p>The phytohormone file contains the root tissue concentrations (all in ng g^-1) for multiple hormones (ABA: abscisic acid, ACC: 1-aminocyclopropane-1-carboxylic acid, GAx: gibberellins, IAA: indole-3-acetic acid, iP: isopentenyl adenine, JA: jasmonic acid, SA: salicylic acid, tZ: cytokinin <em>trans</em>-zeatin) of two mangrove species (Avicennia marina, Rhizophora stylosa) grown under two different soil bulk densities: 0.2 and 1.0 g cm^-3. Treatment refers to the application of ethylene inhibitors (CoCl2: cobalt chloride, AIB: aminoisobutyric acid, control).</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2023View details →
zenodo36/100

Mapping Soil Organic Carbon in the World's Largest Arid Mangrove Forest (Indus Delta, Pakistan): A Multi-Sensor Remote Sensing and Machine Learning Approach

<p>Mangrove forests play a crucial role in carbon sequestration, especially in arid regions where their ability to store carbon in soil is vital for mitigating climate change. The Indus Delta in Pakistan, the world&rsquo;s largest arid mangrove forest system, lacks spatially explicit data on Soil Organic Carbon (SOC) despite its importance for conservation and carbon budgeting. This study aims to establish a baseline SOC map 2020 at 10 m spatial resolution using Sentinel-1 (Synthetic Aperture Radar) and Sentinel-2 (MultiSpectral Instrument) satellite imagery, integrated with in-situ soil sampling. SOC predictions were made using a Classification and Regression Tree (CART) machine learning model within the Google Earth Engine platform, leveraging 40 predictor variables, including spectral bands and derived indices. A total of 53 topsoil (0-10 cm) samples were collected in February 2020 across the Indus Delta, and SOC was analyzed using the Walkley-Black method. The results showed an average SOC value of 65.88 Mg C ha⁻&sup1; with substantial spatial variability, ranging from 15.06 Mg C ha⁻&sup1; to 138.03 Mg C ha⁻&sup1; with a total of 0.91 Pg C. The CART model demonstrated high accuracy, with an R&sup2; of 0.95 and an RMSE of 9.18 Mg C ha⁻&sup1;. However, the region faces challenges such as seawater intrusion and salinity, which threaten its ability to sequester carbon. With the first high-resolution SOC map for the Indus Delta, this study provides valuable insights for ecosystem management, conservation planning, and carbon budgeting. These findings of this study have the potential to significantly influence initiatives like REDD+ and Blue Carbon projects, which aim to enhance carbon sequestration while addressing the ecological challenges facing Pakistan&rsquo;s mangroves</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Clay minerals control rare earth elements (REE) fractionation in Brazilian mangrove soils

<p>XRD data from different size fractions of Brazilian mangrove soils, supporting the manuscript entitled <strong><em>Clay minerals control rare earth elements (REE) fractionation in Brazilian mangrove soils, </em></strong>submitted to the journal <strong><em>Catena</em>.</strong></p>

opencc-by-4.0Sep 2021View details →
edi36/100

Florida mangrove saltmarsh reference surface soils

Site description. This data package consists of data obtained from sampling surface soil (the 0-7.6 cm depth profile) in black mangrove (Avicennia germinans) dominated forest and black needlerush (Juncus roemerianus) saltmarsh along the Gulf of Mexico coastline in peninsular west-central Florida, USA. This location has a subtropical climate with mean daily temperatures ranging from 15.4 °C in January to 27.8 °C in August, and annual precipitation of 1336 mm. Precipitation falls as rain primarily between June and September. Tides are semi-diurnal, with 0.57 m median amplitudes during the year preceding sampling (U.S. NOAA National Ocean Service, Clearwater Beach, Florida, station 8726724). Sea-level rise is 4.0 ± 0.6 mm per year (1973-2020 trend, mean ± 95 % confidence interval, NOAA NOS Clearwater Beach station). The A. germinans mangrove zone is either adjacent to water or fringed on the seaward side by a narrow band of red mangrove (Rhizophora mangle). A near-monoculture of J. roemerianus is often adjacent to and immediately landward of the A. germinans zone. The transition from the mangrove to the J. roemerianus zone is variable in our study area. An abrupt edge between closed-canopy mangrove and J. roemerianus monoculture may extend for up to several hundred meters in some locations, while other stretches of ecotone present a gradual transition where smaller, widely spaced trees are interspersed into the herbaceous marsh. Juncus roemerianus then extends landward to a high marsh patchwork of succulent halophytes (including Salicornia bigellovi, Sesuvium sp., and Batis maritima), scattered dwarf mangrove, and salt pans, followed in turn by upland vegetation that includes Pinus sp. and Serenoa repens. Field design and sample collection. We established three study sites spaced at approximately 5 km intervals along the western coastline of the central Florida peninsula. The sites consisted of the Salt Springs (28.3298°, -82.7274°), Energy Marine Center (28.2903°, -82

openCC (other)Jun 2021View details →
dryad32/100

Effects of maternal genotypic identity and genetic diversity of the red mangrove Rhizophora mangle on associated soil bacterial communities: a field-based experiment

<p>Loss of plant biodiversity can result in reduced abundance and diversity of associated species with implications for ecosystem functioning. In ecosystems low in plant species diversity, such as Neotropical mangrove forests, it is thought that genetic diversity within the dominant plant species could play an important role in shaping associated communities. Here, we used a manipulative field experiment to study the effects of maternal genotypic identity and genetic diversity of the red mangrove <i>Rhizophora mangle</i> on the composition and richness of associated soil bacterial communities. Using terminal restriction fragment length polymorphism (T-RFLP) community fingerprinting, we found that bacterial community composition differed among <i>R. mangle</i> maternal genotypes but not with genetic diversity. Bacterial taxa richness, total soil nitrogen, and total soil carbon were not significantly affected by maternal genotypic identity or genetic diversity of <i>R. mangle</i>. Our findings show that genotype selection in reforestation projects could influence soil bacterial community composition. Further research is needed to determine what impact these bacterial community differences might have on ecosystem processes, such as carbon and nitrogen cycling.</p>

opencc-zeroOct 2021View details →
zenodo32/100

Fig. 2 in Gordonia mangrovi sp. nov., a novel actinobacterium isolated from mangrove soil in Hainan

Fig. 2. Neighbour-joining phylogenetic tree derived using gyrB sequences, showing the relationships between strain HNM0687T and other type strains of genus Gordonia. Only values above 50% were shown. Asterisks represent clades that were also recovered by the maximum-likelihood and maximum-parsimony methods. Bar, five nucleotide substitutions per 100 nucleotides.

opennotspecifiedJul 2020View details →
zenodo32/100

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.

opennotspecifiedJul 2020View details →
zenodo32/100

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&gt;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.

opennotspecifiedJul 2020View details →
zenodo32/100

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.

opennotspecifiedJul 2020View details →
dryad32/100

Freeze-tolerance of poleward-spreading mangrove species weakened by soil properties of resident salt marsh competitor

<p class="MsoCommentText"><b>1. Background</b>: Increasing temperatures associated with climate change are shifting plant species to higher latitudes. Soil communities could aid the plants' shift into novel areas by harbouring fewer soil-borne antagonists or more mutualists that influence the fitness and stress tolerance of the shifting species. Alternatively, they could contain novel antagonists or fewer mutualists. Thus, soil communities could positively or negatively affect plant range expansion, particularly if they influence plants' responses to climate, such as freeze tolerance, that feedback to affect expansion.</p> <p class="CxSpFirst"><b>2. Methods: </b>We used the northward range expansion of the black mangrove<i>,</i> <i>Avicennia germinans</i>, into a system dominated by marsh cordgrass, <i>Spartina alterniflora</i><i>, </i>in northern Florida, USA to study how the novel soil environment (i.e., <i>S. alterniflora</i> soil) affects mangrove fitness, susceptibility to cold stress, and the colonization of mutualist fungi. We quantified abundance of root mutualistic fungi in mixed marsh-mangrove habitat and conducted a laboratory experiment to test effects of steam-sterilized and live soils from <i>A. germinans </i>and <i>S. alterniflora</i> on the growth, condition, fungal colonization, and freeze tolerance of <i>A. germinans</i> seedlings.</p> <p class="CxSpMiddle"><b>3. Results and Conclusions:</b> In the field, we found two times higher dark septate endophyte (DSE) colonization of <i>A. germinans</i> roots and three times higher fungal spore density in <i>A. germinans</i> soil compared to <i>S. alterniflora </i>roots and soil. In the laboratory experiment, seedlings in steamed <i>S. alterniflora</i> soil treatments had 50-65% survival after freezing, compared to 0% survival in treatments with live <i>S. alterniflora</i> soil. <i>A. germinans</i> live soil mixed with <i>S. alterniflora</i> steamed soil yielded <i>A. germinans</i> roots with the highest DSE colonization and seedlings with greater shoot biomass and lower root:shoot ratios. <i>S. alterniflora</i> live soil lowered the freeze tolerance of <i>A. germinans</i>, decreased mangrove survival, and depressed DSE colonization.</p> <p class="CxSpMiddle"><b>4. Synthesis:</b> <i>S. alterniflora </i>soil could impede <i>A. germinans</i> establishment in salt marsh communities. As climate warming gradually allows <i>A. germinans</i> to displace <i>S. alterniflora</i>, the rhizosphere could become increasingly hospitable to <i>A. germinans</i>. Our work suggests the soil community associated with resident species mediates climatic stressors to affect expansion success.  </p> <p class="CxSpFirst"> </p>

opencc-zeroJan 2020View details →
zenodo32/100

FIGURE. Typical habitats of Ramalina species on northern South America. A. High paramo, Laguna Anteojos, Sierra Nevada de Merida, where grows on rocks R. anteojina at 4100 m. B. Sub-paramo (timberline), La Aguada, Sierra Nevada de Merida, 3100 m, where are found R. dictyota and R. reducta on shrubs. C. Andean cloud forest, La Victoria, Sierra Nevada de Merida where R. cochlearis, R. cumanensis and R. victoriana are found growing as epiphytes. D. Populations of R. usnea, R. morrocoyensis and R. paradisensis growing as epiphytes on mangroves and Suriana maritima at sea level, National Park Morrocoy, state Falcón; the latter two species are known only from this locality. E. Ramalina usnea is the only species of this genus reported from the Alto Orinoco, Amazonas, near La Esmeralda, 150 m, growing as corticolous in submontane forests, at the top of the picture the Cerro Duida. F. Xerophytic forests from the National Park Cerro Santa Ana, state Falcón, where Ramalina santanensis and R. microphylla are known only growing on soil and rocks at 200–400 m. Photos V. Marcano. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America

FIGURE. Typical habitats of Ramalina species on northern South America. A. High paramo, Laguna Anteojos, Sierra Nevada de Merida, where grows on rocks R. anteojina at 4100 m. B. Sub-paramo (timberline), La Aguada, Sierra Nevada de Merida, 3100 m, where are found R. dictyota and R. reducta on shrubs. C. Andean cloud forest, La Victoria, Sierra Nevada de Merida where R. cochlearis, R. cumanensis and R. victoriana are found growing as epiphytes. D. Populations of R. usnea, R. morrocoyensis and R. paradisensis growing as epiphytes on mangroves and Suriana maritima at sea level, National Park Morrocoy, state Falcón; the latter two species are known only from this locality. E. Ramalina usnea is the only species of this genus reported from the Alto Orinoco, Amazonas, near La Esmeralda, 150 m, growing as corticolous in submontane forests, at the top of the picture the Cerro Duida. F. Xerophytic forests from the National Park Cerro Santa Ana, state Falcón, where Ramalina santanensis and R. microphylla are known only growing on soil and rocks at 200–400 m. Photos V. Marcano.

opennotspecifiedMay 2021View details →
dryad32/100

Data from: Effects of maternal genotypic identity and genetic diversity of the red mangrove Rhizophora mangle on associated soil bacterial communities: a field-based experiment

Open the record for dataset details and reuse information.

publicNov 2020View details →
dryad32/100

Freeze-tolerance of poleward-spreading mangrove species weakened by soil properties of resident salt marsh competitor

Open the record for dataset details and reuse information.

publicJan 2020View details →

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Allen Brain Atlas

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allen-brain-atlas
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Last verified 2026-04-30Open record

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abode-home-cage
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Last verified 2026-04-30Open record

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Last verified 2026-04-30Open record

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.

ibl
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Last verified 2026-04-29Open record

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openneuro
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Last verified 2026-04-29Open record