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1,071 results for “mangrove”
Data for "Future global mangrove losses and the key role of protected areas in their conservation"
<p>Content (spatial resolution, data info)</p> <ol> <li>Mangrove table input to the machine learning model (1 table)</li> <li>Results of mangrove cumulative loss proportion under SSP1 and SPP5 scenarios (1km, 1 ZIP)</li> <li>All processing R codes can be accessed: https://github.com/2pangp/Mangrove-TidalFlat_Distribution</li> </ol>
Fig. 1 in Description of a New Mangrove Root Dwelling Species of Teleotanais (Crustacea: Peracarida: Tanaidacea) from India, with a Key to Teleotanaidae
Fig. 1. Teleotanais indiaensis sp. nov. A, holotype, habitus, lateral view; B, paratype, habitus, dorsal view; C, antennule; D, antenna; E, labrum, lateral view. Scale bars: 1.0 mm for A–B, 0.25 mm for C–D, 0.1 mm for E.
Fig. 2 in Description of a New Mangrove Root Dwelling Species of Teleotanais (Crustacea: Peracarida: Tanaidacea) from India, with a Key to Teleotanaidae
Fig. 2. Teleotanais indiaensis sp. nov. paratype. A, left mandible; B, right mandible; C, labium; D, maxillule, endite; E, same, palp; F, maxilliped; G, epignath; H, pleopod; I, uropod. Scale bars 0.1 mm.
Fig. 8 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 8. Classification tree model computed from the morphometric characters of complete specimen data (with carapace sculpturing). A binary decision is made at each node, where 'true' for the node description lead to branch at left and 'false' to right. Probability of correct prediction ('recall') at each terminal node ('leaf') is also shown.
Fig. 7 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 7. Light and scanning electron micrograph of cyprids of: A, B, Amphibalanus reticulatus; C, OTU 2; D, Amphibalanus amphitrite; and E, OTU 1. Carapace sculpturing were absent in this group of cyprids.
Fig. 9 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 9. Composition of barnacle cyprid diversity at different stations and different year of collection.
Fig. 6 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 6. Light and scanning electron micrograph of cyprids of: A–H, Amphibalanus variegatus; and I–L, Euraphia withersi. Details of specific carapace sculpturing patterns in each species are shown at higher magnification. 6I, E. withersi has reddish pigments around the carapace (arrows) and a dark rounded pigmentation spot (circled).
Fig. 5 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 5. Light and scanning electron micrograph of cyprids of: A–D, Fistulobalanus sp.; and E–J, Fistulobalanus patellaris. Details of specific carapace sculpturing patterns in each species are shown at higher magnification.
Fig. 2 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 2. Lateral view of cyris larvae of barnacle showing measurements used for morphometric analysis. CL: carapace length; CH: carapace height; A: posterior carapace angle. Ratio of CL/CH was also calculated.
Fig. 1 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 1. Map of sampling locations at Matang Mangrove Forest Reserve (MMFR) in Perak, Malaysia. Sampling was carried out in April 2011 at sites 1–8 and in June 2012 at sites 9–14.
Fig. 4 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 4. Histogram showing variations of pair-wise genetic distances computed from 12S-rRNA gene fragment sequences using Kimura 2-parameter model. Note the distribution of within-species variations does not overlap with that of inter-species variation.
Fig. 3. Neighbour-joining tree contructed from partial 12S in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies
Fig. 3. Neighbour-joining tree contructed from partial 12S-rRNA gene fragment sequences of cyprids and adults of barnacle. The sequences were clustered into eight clades, and species name were labelled at the clades containing sequence(s) of identified adult of barnacle. Clades with no sequence of identified barnacle adult clustered within were designated as OTU (Operational Taxonomic Unit). Number of sequences in each clade were also shown. Scale bar denotes 0.02 base substituition per site.
Data from: Insectivorous birds reduce herbivory but do not increase mangrove growth across productivity zones
<p>Top-down effects of predators and bottom-up effects of resources are important drivers of community structure and function in a wide array of ecosystems. Fertilization experiments impose variation in resource availability that can mediate the strength of predator impacts, but the prevalence of such interactions across natural productivity gradients is less clear. We studied the joint impacts of top-down and bottom-up factors in a tropical mangrove forest system, leveraging fine-grained patchiness in resource availability and primary productivity on coastal cays of Belize. We excluded birds from canopies of red mangrove (Rhizophoraceae: <em>Rhizophora mangle</em>) for 13 months in zones of phosphorus-limited, stunted dwarf mangroves, and in adjacent zones of vigorous mangroves that receive detrital subsidies. Birds decreased total arthropod densities by 62%, herbivore densities more than fivefold, and reduced rates of leaf and bud herbivory by 45% and 52%, respectively. Despite similar arthropod densities across both zones of productivity, leaf and bud damage were 2 and 4.3 times greater in productive stands. Detrital subsidies strongly impacted a suite of plant traits in productive stands, potentially making leaves more nutritious and vulnerable to damage. Despite consistently strong impacts on herbivory, we did not detect top-down forcing that impacted mangrove growth, which was similar with and without birds. Our results indicated that both top-down and bottom-up forces drive arthropod community dynamics, but attenuation at the plant-herbivore interface weakens top-down control by avian insectivores.</p>
Sentinel-2 Madagascar mangrove cover density
<p>These datasets are Madagascar mangrove cover density products, called Sentinel-2 Madagascar mangrove cover density (2016 and 2018), based on 64 tiles analysis of high resolution satellite image Sentinel-2 (L2A Level). Data images are acquired at 1C level and pre-processed at the SEAS-OI station, Réunion island. We used an object-based image analysis method based on NDVI value to classify three level of mangrove density (very dense, dense and less dense). The attribute table is composed of the object identifier, the vegetation density and the administrative region to which the object belongs. The analysis method at national scale was based on field data collection in three reference sites: in north-western of Madagascar (Mahajamba Bay representing 10% of the malagasy mangrove and Mahavavy Delta ) and in south-western of Madagascar (Tsingilofilo Bay). The overall accuracy of the analysis exceeds 90% for all three sites making it an operational product. This data has been realized in the framework of a thesis at the University of Reunion within the UMR Espace-Dev. This thesis was financed by the Région Réunion</p>
Dataset of pollinator functional traits and interaction networks in neotropical mangroves: effects of patch size and surrounding land use
<p>This is the dataset of the manuscript entitled "Pollinator functional traits and interaction networks in neotropical mangroves: effects of patch size and surrounding land use", which was submitted for publication. The dataset include the functional traits of 162 insect pollinator species and 315 interactions with the mangrove species <em>Avicennia germinans, Conocarpus erectus, Laguncularia racemosa,</em> and <em>Rhizophora</em> <em>mangle</em>. The manuscript evaluates the effects of mangrove patch size and surrounding land use on pollinator functional diversity and plant-pollinator interactions in seven mangrove patches from the Colombian Caribbean region. Data variables are pollinator order, family, species, functional traits (pollinator guilds, body size, feeding preference, sociality, and nesting site) and frequency, interacting mangrove species, mangrove patch name, coordinates and size (ha), surrounding land use areas (urban areas, croplands, conserved dry forest, degraded vegetation areas, beach and water) and landscape diversity (Shannon H').</p>
The Response of Bed Elevation to Small-Scale Hydrodynamics within Coastal Mangroves
<p>Dataset for the paper titled "The Response of Bed Elevation to Small-Scale Hydrodynamics within Coastal Mangroves", including raw and processed data.</p>
Fig. 3 in A single species of mangrove monitor (Varanus) occupies Ambon, Seram, Buru and Saparua, Moluccas, Indonesia
Fig. 3. Distribution map of mangrove monitors in the Moluccas and western New Guinea, the blue tailed monitors not included.
Fig. 2 in A single species of mangrove monitor (Varanus) occupies Ambon, Seram, Buru and Saparua, Moluccas, Indonesia
Fig. 2. Principal Components Analysis of scalation characters for several island populations of V. cerambonensis, V. indicus, and V. rainerguentheri. The two Xs represent ZFMK 70650 and ZMA 11146c.
Fig. 1 in A single species of mangrove monitor (Varanus) occupies Ambon, Seram, Buru and Saparua, Moluccas, Indonesia
Fig. 1. Mangrove monitors and their habitats: V. cerambonensis on Ambon (A), Seram (B), and Buru (C, D). Varanus rainerguentheri on Halmahera (E) and Obi (F). Coastal vegetation on Ambon (G) and Nipa swamp (H). Photographs by Valter Weijola.
Distribution of Biophysical Feasibility of Mangrove Reforestation in China and Southeast Asia
<p><a target="_blank">The spatially-explicit opportunities map for mangrove reforestation in China and Southeast Asia, a global hotspot of mangrove loss, used long-term satellite observations and a habitat suitability assessment. Extensive mangrove losses occurred in the region (165,079 ha), primarily caused by aquaculture expansion. Our results identify approximately 60% of the lost mangrove areas as biophysical feasibility for reforestation, primarily along the eastern coastlines of Indonesia. Mangroves reforestation in these areas could provide a climate change mitigation benefit of 26-28 Mt C.</a></p>
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