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1,133 results for “wetlands”
Time-series global 30 m wetland maps from 2000 to 2022
<p><strong>Basic information</strong></p><p>A novel global 30 m wetland annual dataset with fine classification system is generated, covering the period of 2000-2022 and containing 8 wetland subcategories (permanent water, swamp, marsh, flooded flats, saline, mangrove forest, salt marshes, and tidal flats). </p><p><strong>Notes:</strong></p><p>The GWL_FCS30 annual maps are divided into 961 5°×5° geographical tiles, and each tile contains 23 bands which denotes the tidal flat maps in 2000, 2001, 2002,..., 2021, 2022.</p><p><strong>Usage Policy:</strong></p><p>If you plan to use our data in <strong>a scientific analysis paper</strong>, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors.</p><p><strong>Citations:</strong></p><p>Zhang, X., Liu, L., Zhao, T., Chen, X., Lin, S., Wang, J., Mi, J., and Liu, W.: GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020, Earth Syst. Sci. Data, 15, 265–293, <a href="https://doi.org/10.5194/essd-15-265-2023">https://doi.org/10.5194/essd-15-265-2023</a>, 2023</p>
FIGURE 3 in Three new free-living marine nematode species of Subsphaerolaimus Lorenzen, 1978, Halichoanolaimus de Man, 1886 and Belbolla Andrássy, 1973 from mangrove wetlands in Taiwan
FIGURE 3. Subsphaerolaimus danshuiensis sp. nov. A: Lateral view of the male anterior part; B: Lateral view of the female anterior part; C: Lateral view of the male head part; D: Amphid and (sub)cephalic setae of the male; E: Lateral view of the female head part; F: Amphid and (sub)cephalic setae of the female; G: Spicule of the male; H: Lateral view of the male posterior part; I: Lateral view of female posterior part; J: Lateral view of the female reproductive system. Scale bars: A, B, H, I, J = 25 μm; C, D, E, F, G = 5 μm.
FIGURE 7 in Three new free-living marine nematode species of Subsphaerolaimus Lorenzen, 1978, Halichoanolaimus de Man, 1886 and Belbolla Andrássy, 1973 from mangrove wetlands in Taiwan
FIGURE 7. Belbolla forkyspicula sp. nov A: Lateral view of the male anterior part; B: Lateral view of the female anterior part; C: Lateral view of the male head end; D: Lateral view of the female head end; E: Lateral view of the male posterior part; F: Lateral view of the female posterior part; G: Spicule of the male; H: Supplement of the male; I: Lateral view of the female reproductive system. Scale bars: A, B, E, F, I = 25 μm; C, D, G, H, J = 5 μm.
FIGURE 5 in Three new free-living marine nematode species of Subsphaerolaimus Lorenzen, 1978, Halichoanolaimus de Man, 1886 and Belbolla Andrássy, 1973 from mangrove wetlands in Taiwan
FIGURE 5. Halichoanolaimus sicaoensis sp. nov. A: Lateral view of the male anterior part; B: Lateral view of the female anterior part; C: Lateral view of the male head part; D: Buccal cavity of the male; E: Amphid of the male; F: Amphid of the female; G: Lateral view of the male posterior part; H: Lateral view of the female posterior part; I: Spicule of the male; J: Cuticle of the male; K: Lateral view of the female reproductive system. Scale bars: A, B, G, H = 25 μm; K = 10 μm; C, D, E, F, I, J = 50 μm.
FIGURE 4 in Three new free-living marine nematode species of the family Comesomatidae from Mangrove wetlands in Jinmen County, Taiwan
FIGURE 4. Comesoma quattuordecimsupplementata sp. nov. A: Lateral view of the male anterior part; B: Lateral view of the female anterior part; C: Lateral view of the male head part; D: Amphid of the male; E: Lateral view of the female head part; F: Amphid of the female; G: Lateral view of the male posterior part; H: Lateral view of the female posterior part; I: The spicule and supplement of the male; J: Lateral view of the female reproductive system. Scale bar: A, B, G, H, J=25 μm; C, D, E, F, I =10 μm.
FIGURE 3 in Three new free-living marine nematode species of the family Comesomatidae from Mangrove wetlands in Jinmen County, Taiwan
FIGURE 3. Comesoma quattuordecimsupplementata sp. nov. A: Lateral view of the male anterior part. B: Lateral view of the female anterior part. C: Lateral view of the male head part (Cuticle). D: Lateral view of the male posterior part (spicule). E: Lateral view of female posterior part. F: Lateral view of female reproductive system. Scale bar: A, B, D, E=25 μm; C =10 μm; F =50 μm.
FIGURE 1 in Three new free-living marine nematode species of the family Comesomatidae from Mangrove wetlands in Jinmen County, Taiwan
FIGURE 1. Dorylaimopsis Jinmendaoica sp. nov. A: Lateral view of the male anterior part. B: Lateral view of the female anterior part. C: Lateral view of the male head part. D: Lateral view of the male head part(Cuticle). E: Cuticle of the male (middle body). F: Cuticle of the male (spicule level). G: Lateral view of the male posterior part. H: Spicule of the male. I: Lateral view of the female posterior part. J: Lateral view of the female reproductive system. Scale bar: A, B, G, I=25 μm; C, D, E, F, H =10 μm; J=50 μm.
FIGURE 6 in Three new free-living marine nematode species of the family Comesomatidae from Mangrove wetlands in Jinmen County, Taiwan
FIGURE 6. Paracomesoma paralissum sp. nov. A: Lateral view of male anterior part; B: Male head; C: Amphid of the male; D: Lateral view of male posterior part (Spicule); E: Supplements of the male. Scale bar: A, D=25 μm; B, C, E=5 μm.
FIGURE 5 in Three new free-living marine nematode species of the family Comesomatidae from Mangrove wetlands in Jinmen County, Taiwan
FIGURE 5. Paracomesoma paralissum sp. nov. A: Lateral view of the male anterior part. B: Lateral view of the male head part. C: Lateral view of the male posterior part (Spicule). Scale bar: A, C =25 μm; B =10 μm.
FIGURE 2 in Three new free-living marine nematode species of the family Comesomatidae from Mangrove wetlands in Jinmen County, Taiwan
FIGURE 2. Dorylaimopsis Jinmendaoica sp. nov. A: Lateral view of the male anterior part; B: Lateral view of the female anterior part; C: Lateral view of the male head part; D: Amphid of the male; E: Lateral view of the female head part; F: Amphid of the female; G: Lateral view of the male posterior part(spicule); H: Lateral view of the female posterior part; I: Lateral view of the female reproductive system; J: Cuticle of the male (middle body). Scale bar: A, B, G, H, I=25 μm; C, D, E, F, J =5 μm.
Data from: Shorebirds-driven trophic cascade helps restore coastal wetland multifunctionality
<p>Ecosystem restoration has traditionally focused on re-establishing vegetation and other foundation species at basal trophic levels, with mixed outcomes. Here, we show that threatened shorebirds could be important to restoring coastal wetland multifunctionality. We carried out surveys and manipulative field experiments in a region along the Yellow Sea affected by the invasive cordgrass Spartina alterniflora. We found that planting native plants alone failed to restore wetland multifunctionality in a field restoration experiment. Shorebird exclusion weakened wetland multifunctionality, whereas mimicking higher predation before shorebird population declines by excluding their key prey – crab grazers – enhanced wetland multifunctionality. The mechanism underlying these effects is a simple trophic cascade, whereby shorebirds control crab grazers that otherwise suppress native vegetation recovery and destabilize sediments (via bioturbation). Our findings suggest that harnessing the top-down effects of shorebirds – through habitat conservation, rewilding, or temporary simulation of consumptive or non-consumptive effects – should be explored as a nature-based solution to restoring the multifunctionality of degraded coastal wetlands. </p><p> </p><p>This ZIP file contains the following datasets and code for the above paper:</p><p>1. Focal study site_shorebird trends.xlsx This file contains data on shorebird abundance at the focal study site between 1996 and 2021</p><p>2. Regional crab grazing effects.xlsx This file contains data used in the meta-analysis of studies on the effect of crab grazers on native wetland plants</p><p>3. Regional predation intensity.xlsx This file contains data on shorebird predation on crabs at five native marsh sites</p><p>4. Restoration experiment_bird abundance.xlsx This file contains data on bird abundance in three camera traps installed at the restoration site</p><p>5. Restoration experiment_bird species richness.xlsx This file contains data on bird species richness in three camera traps installed at the restoration site</p><p>6. Restoration experiment_crab abundance.xlsx This file contains data on crab abundance in different treatments of the restoration experiment</p><p>7. Restoration experiment_ecosystem functions.xlsx This file contains data for the 12 ecosystem functions measured in different treatments of the restoration experiment</p><p>8. Restoration experiment_for meta-regression of bird effect sizes on crab abundance This file contains the calculated effect sizes of birds on crab abundance for meta-regression against bird abundance</p><p>9. Restoration experiment_for regression of ecosystem functions This file contains data for regression of ecosystem functions and multifunctionality against crab abundance and primary production </p><p>10. Restoration experiment_plant abundance.xlsx This file contains data on plant abundance in different treatments of the restoration experiment</p><p>11. Restoration experiment_predation intensity.xlsx This file contains data on shorebird predation on tethered crabs in different treatments of the restoration experiment</p><p>12. Restoration experiment_the rate of plant abundance change.xlsx This file contains data on the rate of plant abundance change in different treatments of the restoration experiment </p><p>13. Shorebird non-consumptive effects experiment.xlsx This file contains data on crab abundance in different treatments of the shorebird non-consumptive effects simulation experiment</p><p>14. Code_Li_Shorebirds_Ms.R This file contains the R code used for data analysis. </p>
Data from: Where consumers control plant reproduction in coastal wetlands: the environmental stress model in plants' versus consumers' perspectives
<p>This is the data set for the paper entitled "Where consumers control plant reproduction in coastal wetlands: the environmental stress model in plants’ versus consumers’ perspectives" upcoming in the Journal of Ecology.</p> <p>The metadata for interpreting the data set are included in the Excel file. </p>
Data from: Co-restoring keystone predators and foundation species to recover a coastal wetland
<p>Provided here are the following datasets for the paper entitled "Co-restoring keystone predators and foundation species to recover a coastal wetland" upcoming in the Journal of Applied Ecology. </p> <p>1 Proximity to existing Scylla burrows.xlsx This file contains all data for the paper's section "Effects of proximity to existing Scylla burrows on Scirpus restoration" </p> <p>2 Scylla reintroduction.xlsx This file contains all data for the paper's section "Effects of Scylla reintroduction on Scirpus restoration" </p> <p>3 Consumptive and non-consumptive effects.xlsx This file contains all data for the paper's section "Consumptive and non-consumptive effects of Scylla" </p> <p>4 Opening size and food items.xlsx This file contains all data for Fig. S1 and Table S1 in the Supporting Information </p> <p>The metadata for interpreting these data sets are included in the Excel files. </p>
Supplementary material 1 from: Marino de Remes Lenicov AM, Faltlhauser AC, Foieri A, Salinas NA, Hernández MC, Sosa AJ (2024) New morphological and biological contributions to adults and immature forms of Pissonotus paraguayensis (Fulgoromorpha, Delphacidae) in wetlands of Argentina. ZooKeys 1188: 227-250. https://doi.org/10.3897/zookeys.1188.113350
Graphical figures of Kaplan-Meier curves of Pissonotus paraguayensis males and female survival probability on different test plants
Code and Training Data for "Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands based on In-situ Internet of Things Monitoring"
Open the record for dataset details and reuse information.
Wetland Use Intensity Rwanda 2020
<p>The Wetland Use Intensity (WUI) indicator, which is not specific to a particular crop and which requires little ancillary data, is based on the Mean Absolute Spectral Dynamics (MASD), which is a cumulative measure of reflectance change across a time series of optical satellite images. It is sensitive to the compound effects of land cover changes caused by different agricultural practices, flooding or burning. The more frequent and intrusive management practices are on the land cover, the stronger the WUI signal. WUI thus serves as a surrogate indicator to measure pressure on wetland ecosystems. We developed a new and automated approach for WUI calculation that is implemented in the Google Earth Engine (GEE) cloud computing environment. Its automatic calculation, use of regular Sentinel-2 surface reflectance derived time series, and automatic cloud and cloud shadow masking renders WUI applicable for wetland management and produces high quality results with minimal user requirements, even under cloudy conditions. The dataset provided is calculated from bi-monthly composites from July 2019 to June 2021 to form a pseudo-year 2020 and covers the East African country of Rwanda.</p> <p>The GEE code is available in the supplementary materials of (please cite when using the dataset):</p> <p>Steinbach, S., Hentschel, E., Hentze, K., Rienow, A., Umulisa, V., Zwart, S.J., Nelson, A., 2023. Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales. <em>Ecological Informatics</em> <em>75</em>, 102032. <a href="https://doi.org/10.1016/j.ecoinf.2023.102032">https://doi.org/10.1016/j.ecoinf.2023.102032</a></p> <p>The research was supported by the project Copernicus-based Detection and Monitoring of tropical Wetlands (DeMo-Wetlands), which was funded by the German Federal Ministry for Economic Affairs and Energy (grant no. 50EE1537).</p>
High-spatial-resolution (0.0083° × 0.0083°) and long-term (1982 to 2010) monthly gridded wetland CH4 flux product for the Southeastern United States
<p>This dataset presents monthly gridded methane emissions from subtropical freshwater wetlands across the Southeastern United States spanning from 1982 to 2010, measured in nmol m-2 s-1. Each grid cell's methane flux prediction was adjusted based on the fractional wetland extent within that cell, utilizing data from the National Wetland Inventory (NWI) and the Wetland Area and Dynamics for Methane Modeling (WAD2M) product. The dataset includes mean monthly fluxes with no adjustment for wetland area (i.e., fluxes assuming hypothetical 100% wetland cover), as well as mean monthly fluxes adjusted for wetland area based on NWI or WAD2M, along with their respective standard deviations of the daily emissions for each month. Data are provided in NetCDF4 format.</p> <p>Lat: 25-40°N</p> <p>Lon: 95-75°W</p> <p>Period: 198201-201012 (for "CH4_Monthly_SEUS_unweighted.nc" and "CH4_Monthly_SEUS_NWI.nc") and 200001-201012 (for "CH4_Monthly_SEUS_WAD2M.nc")</p> <p>Temporal resolution: Monthly</p> <p>Spatial resolution: 0.0083° × 0.0083° (~1 km × 1 km)</p> <p>Unit: nmol m-2 s-1</p> <p>Fill value: -9999</p>
Supplemental Data: Deciphering the biological contributors to methane cycling in Gulf Coast wetlands
<p>File descriptions:</p> <p>Data</p> <ul> <li>Table 1: experimental design. Number of samples from each wetland, ecosite and depth. Number of reads per sample. Other measurements available for each sample.</li> <li>Tale 2: geochemistry measurements. Anions, cations, pH, salinity and depth</li> <li>Table 3: 16S feature table with SILVA taxonomy</li> <li>Table 4: feature table of methanogens and methanotrophs</li> </ul> <p>Supplemental_Figures</p> <ul> <li>Figure S1: Dissolved oxygen measured at the saltwater marsh</li> <li>Figure S2: Redox potential of soils at each ecosite</li> <li>Figure S3: Concentrations of anions and cations at each ecosite</li> <li>Figure S4: Soil pH at each ecosite</li> <li>Figure S5: Community composition at the Phylum level</li> <li>Figure S6: Correlation matrix of methane cycling taxa and environmental variables</li> <li>Figure S7: Linear discriminant analysis of methane cycling genera</li> <li>Figure S8: Relative abundance of soil methanogen and methanotroph tax across sites, ecosites, and depths</li> <li>Figure S9: Relative abundance of water column methanotroph taxa across sites, ecosites, and depths</li> </ul>
Thirty-six consecutive months of bird point count data from twenty count sites in a Mexican wetland
<p>This data comprises point count abundance values for birds recorded over 36 consecutive months at 20 point count sites in a coastal lagoon in Oaxaca, southwest Mexico (15°49′26″ N–56 96°34′53″ W). Twenty-four months of point counts were done prior to Hurricane Carlotta (June 2010 to May 2012) and 12 months post-hurricane (June 2012 to May 2013).</p>
Datasets used to support the work presented in: Beringer, C.J., K.W. Goyne, R.N. Lerch, E.B. Webb, and D. Mengel. 2020: Clothianidin decomposition in Missouri wetland soils. J. Environ. Qual. JEQ-2020-05-0167-TR
<p>Neonicotinoid pesticides can persist in soils for extended time periods; however, they also have a high potential to contaminate ground and surface waters. Studies have reported negative effects associated with neonicotinoids and non-target taxa, including aquatic invertebrates, pollinating insect species, and insectivorous birds. This study evaluated factors associated with clothianidin (1-[(2-chloro-1,3-thiazol-5-yl) methyl]-3-methyl-2-nitroguanidine, CTN) degradation and sorption in Missouri wetland soils to assess the potential for wetland soils to mitigate potential environmental risks associated with neonicotinoids. Solid-to-solution partition coefficients (<i>K</i><sub>d</sub>) for CTN sorption to eight wetland soils were determined via single-point sorption experiments, and sorption isotherm experiments were conducted using the two most contrasting soils. Clothianidin degradation was determined under oxic and anoxic conditions over 60 d. Degradation data were fit to zero- and first-order kinetic decay models to determine CTN half-life, i.t<sub>0.5</sub>). Sorption results indicated CTN sorption to wetland soil was relatively weak (average <i>K<sub>d </sub></i>= 3.58 L kg<sup>-1</sup>); thus, CTN has the potential to be mobile and bioavailable within wetland soils. However, incubation results showed anoxic conditions significantly increased CTN degradation rates in wetland soils (anoxic average <i>t<sub>0.5</sub> </i>=27.2 d; oxic average<i> t<sub>0.5</sub></i> = 149.1 d). A significant negative correlation was observed between anoxic half-life values and soil organic carbon content (r<sup>2</sup>=0.782; <i>p</i>=0.046). Greater CTN degradation rates in wetland soils under anoxic conditions suggest that managing wetlands to facilitate anoxic conditions could mitigate CTN presence in the environment and reduce exposure to non-target organisms.</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)
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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.