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87 results for “coastal wetland”
FIGURES 13–21 in A new species of the genus Hypogastrura from coastal wetlands of East China (Collembola: Hypogastruridae)
FIGURES 13–21. Hypogastrura sheyangensis sp. nov.: 13, foot complex of hind leg; 14, furca; 15, male genital plate; 16, female genital plate; 17, ventral tube; 18, abdomen VI with anal spines; 19, chaetotaxy of hind leg; 20, labial palp; 21, dens and mucro.
FIGURES 1–12 in A new species of the genus Hypogastrura from coastal wetlands of East China (Collembola: Hypogastruridae)
FIGURES 1–12. Hypogastrura sheyangensis sp. nov.: 1, dorsal thoracic chaetotaxy: 2, ventral cephalic setae; 3, maxillary outer lobe; 4, dorsal cephalic chaetotaxy; 5, labrum; 6, different types of body setae, a. sensillum, b. microseta, c. macroseta; 7, tenaculum; 8, postantennal organ and eyes; 9, dorsal abdominal chaetotaxy; 10, antenna I–IV, dorsal view; 11, antenna IV, ventral view; 12, maxilla.
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>
Global patterns in leaf stoichiometry across coastal wetlands
<p><b>Aim: </b>Coastal wetlands provide critical ecosystem functions and services, e.g. coastal protection, nutrient retention and C sequestration. Despite the important roles in global C, N and P cycling, the global variation in leaf stoichiometry across coastal wetlands remains unclear.</p> <p><b>Location: </b>Global.</p> <p><b>Time period: </b>1980-2018.</p> <p><b>Major taxa studied: </b>Vascular plants.</p> <p><b>Methods: </b>By compiling a global dataset of 698 data records in 205 sites, we systematically analysed the world-wide trends and their determinants in leaf element contents and ratios of plants across coastal wetlands.</p> <p><b>Results: </b>Leaf N and P contents significantly increased, but C:N, C:P and N:P ratios decreased with increasing latitude in coastal wetlands. Mean annual temperature was the predominant driver of leaf N, P and C:N, while soil N:P was a good predict of leaf C:P and N:P ratios. Furthermore, N increased faster with P in plant leaves of coastal wetlands compared to terrestrial ecosystems. Within coastal wetlands, herb-dominated salt marshes had significantly higher leaf P content, lower leaf N:P ratio and lower scaling exponent of leaf N to P than tree-dominated mangroves.</p> <p><b>Main conclusions: </b>The similar latitudinal patterns of leaf stoichiometry in coastal wetlands as terrestrial ecosystems reflected the similar influences of temperature. However, different slopes of leaf P and N:P ratios and N and P scaling relationships between these two ecosystems suggested that different salinity and tidal inundation levels result in different N and P use strategies in coastal wetland plants. These differences in leaf stoichiometry between ecosystems and between different types of coastal wetlands may need to be emphasized in future biogeochemical modelling due to their different roles in global nutrient and carbon cycling.</p>
Soil respiratation data for the Yellow River Delta coastal wetlands
<p>Continuous soil respiration data which is composed of heterotrophic respiration and autotrophic respiration</p>
Long-term Spartina alterniflora invasion simplified soil seed bank and regenerated community in a coastal marsh wetland
<p><span>The coastal wetland is easily invaded by alien species due to its location in the land and sea transitional area. As a potential driving regeneration force, the soil seed bank is vital to community restoration and species diversity protection. To reveal the long-term <em>S</em>. <em>alterniflora</em> invasion impact on the soil seed banks and regenerated communities, we investigated the seed banks under the different vegetation types (<em>S</em>. <em>alterniflora</em>, <em>Phragmites</em> <em>australis</em>, <em>Scirpus</em> <em>mariquete</em>, ruderal and unvegetated site) and soil depths (0–5 cm and 5–10 cm) in the Chongming island coastal salt marsh wetland. The results showed that the soil seed bank richness and species density under different vegetation types were higher than aboveground vegetation, and those of 0–5 cm seed banks were higher than 5–10 cm, except for the unvegetated site. The species richness and the <em>S</em>. <em>alterniflora</em> seed proportion in the seed banks under the <em>S</em>. <em>alterniflora</em> communities (</span><span>S.AS</span><span>) were lower and larger, respectively, than other sites. The species composition between </span><span>S.AS</span><span> and the aboveground communities showed high similarity with aggregation phylogenetic structures in two soil depths. The seed bank variations at 0–5 cm and 5–10 cm depths were interpreted 3.03% and 2.25% by aboveground communities, <span>while</span> 4.92% and 5.55% were interpreted by soil microbial biomass. </span><span>The SEM model explained 98.1% and 91.8% of the seed banks' richness at the 0–5 cm depth and 5–10 cm depth, respectively, and explained 98.8% and 46.1% of the seed banks' species density at the 0–5 cm depth and 5–10 cm depth, respectively. </span><span>The aboveground vegetation biomass and abundance directly affected the 0–5 cm seed banks' richness and species density, while its height and biomass only affected the 5–10 cm seed banks' species density. The microbial biomass of the 0–10 cm soil depth indirectly affected the richness and species density of the 0-5 cm seed bank, and only affected the richness of the 5–10 cm seed bank. Soil physical and chemical properties only indirectly affected the 0–5 cm seed banks' species density.</span><span> The results provided a reference for the ecological evaluation of the impacts of <em>S</em>. <em>alterniflora</em> invasion into the coastal salt marsh wetland of eastern China and guidance for the protection and restoration of the native plant communities.</span></p>
Figures 10–13 in Six freshwater microturbellarian species (Platyhelminthes) in permanent wetlands of the Coastal Plain of southern Brazil: new records, abundance, and distribution
Figures 10–13. Photographs of specimens in vivo after squeeze preparation (10, 12) and diagrammatic reconstructions (11, 13) in dorsal view of species of Dalytyphloplanida recorded for the Coastal Plain of southern Brazil. 10, 11. Baicalellia evelinae. 12, 13. Gieysztoria chiqchi. Details of the penis stylet are shown in 11B and 13B.
Figures 8, 9 in Six freshwater microturbellarian species (Platyhelminthes) in permanent wetlands of the Coastal Plain of southern Brazil: new records, abundance, and distribution
Figures 8, 9. Photograph of specimen in vivo after squeeze preparation (8) and diagrammatic reconstruction (9) in dorsal view of Stenostomum hemisphericum recorded for the Coastal Plain of southern Brazil.
Figures 2–7 in Six freshwater microturbellarian species (Platyhelminthes) in permanent wetlands of the Coastal Plain of southern Brazil: new records, abundance, and distribution
Figures 2–7. Photographs of specimens in vivo after squeeze preparation (2, 4, 6) and diagrammatic reconstructions in dorsal view (3, 5, 7) of species of Catenula recorded in the Coastal Plain of southern Brazil. 2, 3. Catenula evelinae. 4, 5. C. leuca. 6, 7. C. turgida. Scale bars = 100 µm.
Figure 1 in Six freshwater microturbellarian species (Platyhelminthes) in permanent wetlands of the Coastal Plain of southern Brazil: new records, abundance, and distribution
Figure 1. Study areas in the Coastal Plain of the southern Brazilian state of Rio Grande do Sul (white area): Terra de Areia (1 = 29°29'05" S, 049°52'21" W), Osório (2 = 29°53'20" S, 050°08'09" W, and 3 = 29°52'02" S, 050°05'16" W), Tramandaí (4 = 30°05'09" S, 050°10'24" W), and Capivari do Sul (5 = 30°10'22" S, 050°23'10" W).
Data from: Unveiling the landscape predictors of resilient vegetation in coastal wetlands to inform conservation in the face of climate extremes
<div> <p>Unveiling spatial variation in vegetation resilience to climate extremes can inform effective conservation planning under climate change. Although many conservation efforts are implemented on landscape scales, they often remain blind to landscape variation in vegetation resilience. We explored the distribution of drought-resilient vegetation (i.e., vegetation that could withstand and quickly recover from drought) and its predictors across a heterogeneous coastal landscape under long-term wetland conversion, through a series of high-resolution satellite image interpretations, spatial analyses, and nonlinear modelling. We found that vegetation varied greatly in drought resilience across the coastal wetland landscape and that drought-resilient vegetation could be predicted with distances to coastline and tidal channel. Specifically, drought-resilient vegetation exhibited a nearly bimodal distribution and had a seaward optimum at ~2 km from coastline (corresponding to an inundation frequency of ~30%), a pattern particularly pronounced in areas further away from tidal channels. Furthermore, we found that areas with drought-resilient vegetation were more likely to be eliminated by wetland conversion. Even in protected areas where wetland conversion was slowed, drought-resilient vegetation was increasingly lost to wetland conversion at its landward optimum in combination with rapid plant invasions at its seaward optimum. Our study highlights that the distribution of drought-resilient vegetation can be predicted using landscape features but without incorporating this predictive understanding, conservation efforts may risk failing in the face of climate extremes.</p> <p> </p> <p>This ZIP file contains the following datasets and code for the above paper:</p> <p>1. data_cheng_et_al_GCB_2024.zip This file contain a total of three files.</p> <p>(1) analys_grid_50_m.shp This file is a shapefile for the 50-by-50 m grid cells analyzed in the focal study area and their IDs.</p> <p>(2) veg_change.shp This file contains the spatial distribution of vegetation before and after the 2011 drought. </p> <p> Variable list:</p> <p> change: Changes of vegetation after the 2011 drought.</p> <p> vegBefore: Distribution of vegetation before the drought.</p> <p> vegAfter: Distribution of vegetation after the drought.</p> <p>(3) tidalchannel.shp This file contains manually digitized tidal channels (and water surfaces).</p> <p>2. gridfeatures.xlsx This file contains data on the landscape features of each analysis grid.</p> <p>3. analyses.R This file contains the R code used for data analysis.</p> </div>
Data from: Sea-level rise causes feeding habitat loss for migratory shorebirds in remote coastal wetlands of Brazilian Amazon.
<p>Data supporting the results in "Sea-level rise causes feeding habitat loss for migratory shorebirds in remote coastal wetlands of Brazilian Amazon."</p> <p> </p>
Figure 2 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil
Figure 2. Rose-diagram of the circular analysis and mean vector length (r), indicated by the arrow vector, of the number of anuran species exhibiting calling activity (a; r = 0.36) and frequency of the calling activity records throughout the day (b; r = 0.46). The arrow vector indicates the concentration of species exhibiting calling activities throughout the months (a) and the recording frequency of these species throughout the hours of the day (b).
Figure 1 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil
Figure 1. Map of the study area. (a) The North and South America continent. (b) The Rio Grande do Sul state, Brazil. (c) The area of the TAIM Ecological Station.
Figure 3 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil
Figure 3. (a) Monthly variation of the maximum (continuous line) and minimum (dashed line) water temperature (°C), minimum absolute air relative humidity (dotted line; %), and hours of rainfall from December 2012 to April 2014. (b) Monthly calling activity of the anuran amphibians community in a wetland area from southernmost Brazil from December 2012 to April 2014. The number of species that exhibited calling activities in each month is shown at the top of the graph and the following categories were used: white – no records; dotted area – between 0.1 and 3.99 hours of daily activity; horizontal bar – between 4 and 7.99 hours of daily activity; dark grey – between 8 and 11.99 hours of daily activity; black – between 12 and 17 hours of daily activity; and plus symbol – activity peak indicated by the mean vector (µ) of the circular analysis.
Figure 4 in Climatic dependence in the daily and seasonal calling activity of anurans from coastal wetlands of southernmost Brazil
Figure 4. Calling activity frequency of the species of anuran amphibians found in wetlands from southernmost Brazil, highlighting the seasons with greatest activity: spring 2013 (September– November 2013); summer 2013 (December 2012–February 2013) and summer 2014 (December 2013–February 2014). The number of records per hour is represented by: white – no records; dotted area – 1-7 records; horizontal bar – 8-14 records; dark grey – 15-21 records; black – 22- 36 records; and plus symbol – activity peak indicated by the mean vector (µ) of the circular analysis.
Figure 4 in Factors influencing anuran distribution in coastal dune wetlands in southern Brazil
Figure 4. Canonical correspondence analysis ordination biplot (CCA) with tadpoles species composition related to the studied wetlands and structural complexity descriptors. First axis is horizontal, second axis vertical. O = wetlands, Hp, Hypsiboas pulchellus; Lg, Leptodactylus gracilis; Lo, L. ocellatus; Pb, Physalaemus biligonigerus; Pg, Physalaemus gracilis; Pm, Pseudis minuta; Ra, Rhinella arenarum; Rd, R. dorbignyi. Variables: A, wetland area; CV, vegetation cover; ME, emergent macrophytes; MF, floating macrophytes; MS, months of drought.
Figure 3 in Factors influencing anuran distribution in coastal dune wetlands in southern Brazil
Figure 3. Canonical correspondence analysis ordination biplot (CCA) with adult anuran species composition related to the studied wetlands and structural complexity descriptors. First axis is horizontal, second axis vertical. O, wetlands; Hp, Hypsiboas pulchellus; Lg, Leptodactylus gracilis; Lo, L. ocellatus, Om, Odontophrynus maisuma; Pb, Physalaemus biligonigerus; Pg, Physalaemus gracilis; Pm, Pseudis minuta; Pf, Pseudopaludicola falcipes; Ra, Rhinella arenarum. Variables: A, wetland area; ME, emergent macrophytes; MP, macroinvertebrate predators; MS, months of drought.
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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.