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1,133 results for “wetlands”
Wetlands as a potential multi-functioning tool to mitigate eutrophication and brownification
<p>Eutrophication and brownification are ongoing environmental problems affecting aquatic ecosystems. Due to anthropogenic changes, increasing amounts of organic and inorganic compounds are entering aquatic systems from surrounding catchment areas, increasing both nutrients, total organic carbon (TOC), and water color with societal, as well as ecological consequences. Several studies have focused on the ability of wetlands to reduce nutrients, whereas data on their potential to reduce TOC and water color is scarce. Here we evaluate wetlands as a potential multi-functional tool for mitigating both eutrophication and brownification. Therefore, we performed a study over 18 months in nine wetlands allowing us to estimate the reduction in concentrations of total nitrogen (TN), total phosphorus (TP), TOC, and water color. We show that wetland reduction efficiency with respect to these variables was generally higher during summer, but many of the wetlands were also efficient during winter. We also show that some, but not all, wetlands have the potential to reduce TOC, water color, and nutrients simultaneously. However, the generalist wetlands that reduced all four parameters were less efficient in reducing each of them than the specialist wetlands that only reduced one or two parameters. In a broader context, generalist wetlands have the potential to function as multi-functional tools to mitigate both eutrophication and brownification of aquatic systems. However, further research is needed to assess the design of the generalist wetlands and to investigate the potential of using several specialist wetlands in the same catchment.</p>
Solar-induced chlorophyll fluorescence study in Bibai Wetland
<p>#SIF study in Bibai Wetland</p><p>The data utilized in the investigation carried out by Buareal et al.,</p><p>titled "Solar-induced chlorophyll fluorescence as a potential proxy for gross primary production and methane emission in a cool-temperate bog in northern Japan," comprised:</p><p>a. Solar-induced chlorophyll fluorescence (SIF)</p><p>b. Eddy flux data and meteorological measurements (specifically FCh4, GPP, Ta, Ts, VPD, Water table depth, Soil water content, and PPFD) obtained from Bibai Mire, a cool-temperate bog in Japan.</p>
Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems
<p>Files (input and output) for the publication <em>Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems</em></p> <p> </p>
Dataset for the study:"Driving and limiting factors of CH4 and CO2 emissions from coastal brackish-water wetlands in temperate regions"
<p>Dataset used for statistical analysis of the manuscript "Chiapponi, E., Silvestri, S., Zannoni, D., Antonellini, M., and Giambastiani, B. M. S.: Driving and limiting factors of CH<sub>4</sub> and CO<sub>2</sub> emissions from coastal brackish-water wetlands in temperate regions, EGUsphere, https://doi.org/10.5194/egusphere-2023-605, 2023."</p> <p>The dataset include:</p> <ul> <li>CO2 and CH4 fluxes retrived with a portable fluximeter from soils and standing waters</li> <li>environemntal parameters ( T of air and water, Electrical Conductivity (EC), irradiance and water depth </li> </ul> <p>To cite content from this repository: "Chiapponi, E., Silvestri, S., Zannoni, D., Antonellini, M., and Giambastiani, B. M. S.: Dataset for the study:"Driving and limiting factors of CH4 and CO2 emissions from coastal brackish-water wetlands in temperate regions", EGUsphere, 10.5281/zenodo.10390803."</p> <p> </p>
Environmental DNA reflects spatial distribution of a rare turtle in a lentic wetland assisted colonisation site
<p>Conservation translocations require robust post-release monitoring to evaluate their success, which can be challenging to implement and maintain. Monitoring techniques that can account for the dispersal and cryptic nature of translocated animals are necessary to provide critical information on persistence and distribution. In this study, we developed a highly sensitive environmental DNA (eDNA) assay specific to the Critically Endangered western swamp turtle (<em>Pseudemydura umbrina</em>), a species currently undergoing trials of assisted colonisation. Actively filtering sufficient volumes of water in lentic systems is difficult due to high concentrations of clogging particulates, therefore we assessed the viability of passive sampling in a controlled environment by submerging filter membranes and directly extracting DNA. Active sampling detected <em>P. umbrina</em> with a 97.6% detection rate, whereas passive sampling resulted in an 8.3% detection rate. We then used a fine-scale eDNA sampling design and radio tracked translocated <em>P. umbrina</em> at the assisted colonisation wetland to investigate eDNA dispersal and spatial monitoring resolution. We detected <em>P. umbrina</em> at 42% (7 / 17) of eDNA sample sites, and the probability of a positive eDNA detection was negatively associated with the distance of <em>P. umbrina</em> from the sampling site, indicating limited eDNA dispersal from the source. Systems with low natural mixing and limited eDNA dispersal provide an opportunity for high resolution spatial and temporal monitoring via targeted eDNA approaches. This is beneficial for monitoring rare species in these systems, as such high-resolution results can provide insights on species presence, distribution, and microhabitat use.</p>
Data for: Aquatic connectivity treatments increase fish and macroinvertebrate use of Typha invaded Great Lakes coastal wetlands
<p>Coastal wetlands provide critical habitat for aquatic organisms and important ecosystem services for the terrestrial and aquatic landscapes they bridge, but increasingly common invasive macrophytes disrupt plant communities, food webs, habitat structure and littoral-pelagic linkages. In Laurentian Great Lakes coastal wetlands, invasive cattails (<em>Typha</em> ×<em>glauca</em> and<em> T. angustifolia</em>, hereafter <em>Typha</em>) homogenize ecosystem structure and reduce nearshore dissolved oxygen, and plant, fish, and macroinvertebrate diversity. We hypothesize that management treatments that reduce<em> Typha </em>and its abundant litter promote structural heterogeneity and mitigate physiochemical and biodiversity impacts.</p> <div>To test this hypothesis, we implemented a large-scale (2048 m<sup>2</sup> treatment units), multi-site (four coastal wetlands) experiment in northern Michigan (USA) to examine how invasive Typha mechanical harvesting treatments (biomass harvest, aquatic connectivity channels, Typha-dominated control) altered fish, macroinvertebrate, plant, larval amphibian abundance and diversity, and water quality for two-years post-treatment. We collected fish, macroinvertebrates, plant, larval amphibian, and water quality data from for two years following the implementation of management treatments. These data are presented in this archived dataset. </div>
Selection of a diversionary field and other habitats by large grazing birds in a landscape managed for agriculture and wetland biodiversity
<p>Several populations of cranes, geese, and swans are thriving and increasing in modern agricultural landscapes. Abundant populations are causing conservation conflicts, as they may affect agricultural production and biodiversity negatively. </p> <p>Management strategies involving provisioning of attractive diversionary fields where birds are tolerated can be used to reduce negative impact to growing crops. To improve such strategies, knowledge of how the birds interact with the landscape and respond to current management interventions is key.</p> <p>We used GPS locations from tagged common cranes (Grus grus) and greylag geese (Anser anser) to assess how they use and select differentially managed habitats, such as diversionary fields to decrease impact on agriculture and wetlands protected for biodiversity conservation.</p> <p>Our findings show a high probability of presence of common cranes and greylag geese in the protected area and in the diversionary field, but also on arable fields, potentially causing negative impact on agricultural production and wetland biodiversity.</p> <p>We outline recommendations for how to improve the practice of diversionary fields and complementary management to reduce risk of negative impact of large grazing birds in landscapes tailored for both conservation and conventional agriculture.</p>
Figure 4. A in Avian biodiversity assessment studies in a Neotropical wetland - the combination of sampling methods makes the difference
Figure 4. A Song Meter (acoustic recorder, upper left, marked yellow) and a camera trap (photo and video recorder, lower left, marked green) were jointly applied to study the avian occurrence and behavior of ground-dwelling species, e.g., cracids and tinamous.
Figure 1 in Avian biodiversity assessment studies in a Neotropical wetland - the combination of sampling methods makes the difference
Figure 1. Number of individuals and species detected by three methodologies over the dry period of 2014 in areas of forest and savanna in the northeastern Pantanal, Mato Grosso, Brazil. MN = mist nets; PC = point counts; ARU = autonomous acoustic recording.
Figure 3 in Avian biodiversity assessment studies in a Neotropical wetland - the combination of sampling methods makes the difference
Figure 3. Local contribution to beta diversity (LCBD) of avian taxa in the northeastern Pantanal, Mato Grosso, Brazil, in the dry period of 2014. The geographic positions of the savanna sites (orange) and forest sites (green) are shown. The relationship between the LCBD values and species richness is shown in A. The site contributions to beta diversity (i.e., the LCBD values) determined by each methodology were divided into two components: replacement B and nestedness C.
Figure 2 in Avian biodiversity assessment studies in a Neotropical wetland - the combination of sampling methods makes the difference
Figure 2. Number of species detected in each of the eight sampling sites using three methodologies over the dry period of 2014 in one region of the northeastern Pantanal, Mato Grosso, Brazil. MN = mist nets; PC = point counts; ARU = autonomous acoustic recording.
Avian diversity study of Kharibari Wetland and its adjacent Bheries, Kamduni, North 24 Parganas, West Bengal, India
<p>The dataset “Avian diversity study of Kharibari Wetland and its adjacent Bheries, Kamduni, North 24 Parganas, West Bengal, India” is published by Nature Mates Nature Club</p> <p>The World Wide Fund for Nature (WWF) defines wetland as, “a place in which the land is covered by water — salt, fresh or somewhere in between — either seasonally or permanently. It functions as its distinct ecosystem.”</p> <p>Bheries are the type of fisheries generally practiced in low land impounded with earthen embankments all round.</p> <p>The age-old bheri-culture has emerged in North 24 Parganas District in its south and eastern skirts centering the lower course of the Bidyadhari River. Salinity in bheri-water is sourced from brackish sea-water entered through rivers and canals.</p> <p>Kolkata has several wetlands in its vicinity and one of them is the Kamduni wetlands of Kharibari, near Barasat.</p> <p>The wetland and bheries of Kharibari is a visiting spot for many local and migratory birds. Some of these birds are from the Himalayan foothills, others travel from central Asia.</p> <p>During spring, the waters in the wetlands recede making food easily available for the water birds. This attracts a host of long and short-distance migrant birds along with local birds.</p> <p>This dataset includes all the birds recorded from kamduni wetlands of kharibari and the bheries present in the vicinity.</p> <p> A list of all the birds identified during a biodiversity survey carried out between November 2017 to April 2018 is included in this dataset.</p> <p>All the birds have been identified upto species level. There are 56 bird species total, with records of them in 18 different families and 10 different orders.</p> <p>Resource Contacts</p> <p>Name: Arjan Basu Roy</p> <p>Position: Secretary</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: basuroyarjan@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0001-9872-3562"> https://orcid.org/0000-0001-9872-3562</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p>Name: Lina Chatterjee</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: lina.linachatterjee@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0002-5626-5046"> https://orcid.org/0000-0002-5626-5046</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p><strong> </strong></p> <p>Name: Tarak Samanta</p> <p>Position: Research Associate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: taraksamanta995@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0001-6809-0549"> https://orcid.org/0000-0001-6809-0549</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p> </p> <p>Name: Nivedita Sengupta</p> <p>Position: Intern</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: niveditasngpta.ns@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0003-1085-7385"> https://orcid.org/0000-0003-1085-7385</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p><strong><br><br></strong>Name: Vijay Barve</p> <p>Position: Research Advisor</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: vijay.barve@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0002-4852-2567"> https://orcid.org/0000-0002-4852-2567</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p>
Diel greenhouse gas emissions demonstrate a strong response to vegetation patch types in a freshwater wetland
<p>Data supporting submitted research paper. "All_flux_variables.csv" includes all plot data and is organized by the date/time of sample, campaign number, and sample location in rows and data collected as headers in the columns. "Flux_tower_data.csv" are meterological variables include in data analysis collected by a flux tower on sight. All other files are time series data for water pH (n = 2), water temperature (n = 3-5). Refer to the "metadata.csv" for units and descriptions of data in files. </p>
Renuka Wetlands (Photo: Chandra et al., 2021) in Faunal Composition of Ramsar Wetlands from India: An Analysis
Renuka Wetlands (Photo: Chandra et al., 2021)
Greylag Geese (Photo: Chandra et al., 2021) in Faunal Composition of Ramsar Wetlands from India: An Analysis
Greylag Geese (Photo: Chandra et al., 2021)
Irrawady Dolphin at Chilika Lake (Photo: Chandra et al., 2021). in Faunal Composition of Ramsar Wetlands from India: An Analysis
Irrawady Dolphin at Chilika Lake (Photo: Chandra et al., 2021).
Figure 5 in Faunal Composition of Ramsar Wetlands from India: An Analysis
Figure 5. Faunal species composition in Ramsar Wetlands of India.
Figure 4 in Faunal Composition of Ramsar Wetlands from India: An Analysis
Figure 4. Faunal composition of Ramsar Wetlands in India.
Figure 3 in Faunal Composition of Ramsar Wetlands from India: An Analysis
Figure 3. Distribution of Ramsar Wetlands in states of India.
Figure 1 in Faunal Composition of Ramsar Wetlands from India: An Analysis
Figure 1. Number of designated Ramsar sites with respect to year of declaration.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.