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1,133 results for “wetlands”
New species boundaries and the diversification history of marsh rat taxa clarify historical connections among ecologically and geographically distinct wetlands of South America
<p><span><span><span><span><span><span><span><span><span><span><span>Taxa with broad geographic ranges that occur in different biomes and exhibit plastic morphological traits and/or adaptations to particular habitats make inferences about species boundaries especially challenging. However, technological and conceptual advances in the generation and analysis of genomic data have advanced the description of biodiversity. Here we address the outstanding questions about the delimitation of species in the genus <i>Holochilus, </i>a rodent with morphological specializations to wetland habitats, distributed through almost all the South America continent using genome‐wide SNP and morphometric data. Specifically, we apply a Bayesian model‐based species delimitation that revealed significant re-arrangements of species boundaries based on consideration of both morphometric and genomic data alone, or in combination. With these shifts in species boundaries, our results provide an insightful framework for inferring the group's biogeographic history and considering possible connections between disjoint biomes in South America. Because of the ecological constraints of the marsh rats, and with the proposed taxonomic re-arrangements, the significance of our findings extends beyond systematics and suggests how diversification might be associated with past ecological/environmental changes during the Pleistocene. Overall, this study highlights how genomic data can provide phylogenetic information for resolving relationships among species of <i>Holochilus</i>, but also the importance of integrative approaches to identify evolutionary independent species. For the relatively understudied vast wetlands of South America, a robust species delimitation framework therefore becomes a critical source of data relevant to hypotheses about the history of the biomes themselves.</span></span></span></span></span></span></span></span></span></span></span></p>
Wetland delineation and characterization layers 2014-2017, Rwanda
<p>Wetlands are highly productive ecosystems and provide a range of goods and services on local to global scales and have become key sites of agricultural development in sub-Saharan Africa. This is the case for East African countries such as Rwanda, where agricultural expansion into wetlands and agricultural intensification are crucial elements of the government's strategy to increase food production and decrease dependence from global food markets. However, spatially explicit information of the location and status of wetlands for informed decision making is lacking or not up to date. In the related research article, we therefore develop a framework comprising the following spatial layers: Delineation, Surface Water Occurrence (SWO), Land Use/Land Cover (LULC) classification and Wetland Use Intensity (WUI). These layers are based on satellite imagery from the European Copernicus Programme and cover the whole of Rwanda. The Delineation is derived from a static Potential Wetlands layer and Sentinel-2 imagery using object-based image analysis (OBIA). The SWO is a per-pixel count of the times a location was detected as flooded using Sentinel-1 imagery. For the LULC classification, an object-based decision tree classifier is applied to Sentinel-2 imagery in Combination with the Delineation layer and the SWO. The WUI layer is based on the Absolute Mean Spectral Dynamics indicator depicting pixel-wise changes in reflectance values in Sentinel-2 bands relevant for wetland vegetation and hydrological dynamics. All layers refer to the year 2017, except for the SWO layer, which covers surface water dynamics from 2014 to 2017. The layers can be used individually or in combination and thus adapted to the different information needs for sustainable wetland management.<br> This dataset contains the Potential Wetlands map based on topographic indices, the Wetland Delineation derived from it, the Surface Water Occurrence layer, the Land Use/Land Cover map, and the Wetland Use Intensity layer. For appropriate map display we provide QGIS layerstyle files associated with these layers.</p>
Fig. 3 in Fish functional groups in a tropical wetland of the Yucatan Peninsula, Mexico
Fig. 3. Relative biomass abundance of functional groups among habitats and seasons.
Fig. 1 in Fish functional groups in a tropical wetland of the Yucatan Peninsula, Mexico
Fig. 1. Geographic location of the study site (white star) in Sian Ka'an Biosphere Reserve, Mexico.
Figure 2 in Ornithofauna and its conservation in the Kuttanad wetlands, southern portion of Vembanad-Kole Ramsar site, India
Figure 2. Status of the birds recorded from the Kuttanad wetlands
Figure 3 in Ornithofauna and its conservation in the Kuttanad wetlands, southern portion of Vembanad-Kole Ramsar site, India
Figure 3. Percentage distribution of feeding guilds of birds in Kuttanad wetland
Figure 1 in Ornithofauna and its conservation in the Kuttanad wetlands, southern portion of Vembanad-Kole Ramsar site, India
Figure 1. Six divisions of Kuttanad wetlands
Image 12 in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 12. Orchithemis xanthosoma female
Image 3 in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 3. The downstream Sg. Penyilam at a narrow section of the channel
Image 6. A in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 6. A section of flooded forest by the Sg. Penyilam
Image 11 in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 11. Brachygonia puella female
Image 2 in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 2. Map of the sampling area.
Image 9 in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 9. Elattoneura aurantiaca male
Image 8. A in The Odonata of Binyo Penyilam, a unique tropical wetland area in Bintulu Division, Sarawak, Malaysia
Image 8. A black water pool in one of the open marshland areas
Data from: Fertilizer legacies meet saltwater incursion: challenges and constraints for coastal plain wetland restoration
Coastal wetland restoration is an important tool for climate change adaptation and excess nutrient runoff mitigation. However, the capacity of restored coastal wetlands to provide multiple ecosystem services is limited by stressors, such as excess nutrients from upstream agricultural fields, high nutrient legacies on-site, and rising salinities downstream. The effects of these stressors are exacerbated by an accelerating hydrologic cycle, expected to cause longer droughts punctuated by more severe storms. We used seven years of surface water and six years of soil solution water chemistry from a large (440 ha) restored wetland to examine how fertilizer legacy, changes in hydrology, and drought-induced salinization affect dissolved nutrient and carbon concentrations. To better understand the recovery trajectory of the restored wetland, we also sampled an active agricultural field and two mature forested wetlands. Our results show that nitrogen (N) and phosphorus (P) concentrations in soil solution were 2–10 times higher in the restored wetland compared to two mature forested wetlands, presumably due to legacy fertilizer mobilized by reflooding. Despite elevated nutrient concentrations relative to reference wetlands, the restored wetland consistently attenuated N and P pulses delivered from an upstream farm. Even with continued loading, N and P concentrations in surface water throughout the restored wetland have decreased since the initial flooding. Our results suggest that high nutrient concentrations and export from wetlands restored on agricultural lands may be a severe but temporary problem. If field to wetland conversion is to become a more widespread method for ameliorating nutrient runoff and adapting coastal plain ecosystems to climate change, we should adopt new methods for minimizing the initial export phase of wetland restoration efforts.
Data from: Carbon dioxide and methane fluxes from different surface types in a created urban wetland
<p><span>Many wetlands have been drained due to urbanization, agriculture, forestry or other purposes, which has resulted in losing their ecosystem services. To protect receiving waters and to achieve services such as flood control and stormwater quality mitigation, new wetlands are created in urbanized areas. However, our knowledge of greenhouse gas exchange in newly created wetlands in urban areas is currently limited. In this paper we present measurements carried out at a created urban wetland in boreal climate.</span></p> <p><span>We conducted measurements of ecosystem CO<sub>2 </sub>flux (NEE) and CH<sub>4</sub> flux (F<sub>CH4</sub>) at the constructed stormwater wetland Gateway in Nummela, Vihti, Southern Finland using eddy covariance (EC) technique. The measurements were commenced the fourth year after construction and lasted for one full year and two subsequent growing seasons. Besides ecosystem scale fluxes measured by EC tower, the diffusive CO<sub>2 </sub>and<sub> </sub>CH<sub>4</sub> fluxes from the open-water area (F<sub>w</sub>_CO<sub>2</sub> and F<sub>w</sub>_CH<sub>4, </sub>respectively) were modelled based on measurements of CO<sub>2 </sub>and<sub> </sub>CH<sub>4 </sub>concentration in the water. Fluxes from vegetated area were estimated by applying a simple mixing model using above-mentioned fluxes and footprint-weighted fractional area. The half-hourly footprint-weighted contribution of diffusive fluxes from open water ranged from 0 to 25.5 % in year 2013.</span></p> <p><span>The annual NEE of the studied wetland was 8.0 g C-CO<sub>2 </sub>m<sup>-2</sup> yr<sup>-1 </sup>with the 95 % confidence interval between<sup> </sup>-18.9 and 34.9 g C-CO<sub>2 </sub>m<sup>-2</sup> yr<sup>-1 </sup>and F<sub>CH4 </sub>was 3.9 g C-CH<sub>4</sub> m<sup>-2</sup> yr<sup>-1</sup> with the 95 % confidence interval between 3.75 and 4.07 g C-CH<sub>4</sub> m<sup>-2</sup> yr<sup>-1</sup>. The ecosystem sequestered CO<sub>2 </sub>during summer months (June-August), while the rest of the year it was a CO<sub>2</sub> source. CH<sub>4</sub> displayed strong seasonal dynamics, higher in summer and lower in winter, with a sporadic emission episode in the end of May 2013. Both CH<sub>4 </sub>and CO<sub>2 </sub>fluxes<sub>, </sub>especially those obtained from vegetated area, exhibited strong diurnal<sub> </sub>cycle during summer with synchronized peaks around noon. The annual F<sub>w</sub>_CO<sub>2 </sub>was 297.5 g C-CO<sub>2 </sub>m<sup>-2</sup> yr<sup>-1 </sup>and F<sub>w</sub>_CH<sub>4 </sub>was 1.73 g C-CH<sub>4 </sub>m<sup>-2</sup> yr<sup>-1</sup>. The peak diffusive CH<sub>4</sub> flux was 137.6 nmol C-CH<sub>4</sub> m<sup>-2</sup> s<sup>-1</sup>, which was<sup> </sup>synchronized with the F<sub>CH4</sub>.</span></p> <p><span>Overall, during the monitored time period, the established stormwater wetland had a climate warming effect with 0.263 kg CO<sub>2</sub>-eq m<sup>-2</sup> yr<sup>-1 </sup>of<sup> </sup>which 89 % was contributed by CH<sub>4</sub>. The radiative forcing of the open-water exceeded the vegetation area (1.194 kg CO<sub>2</sub>-eq m<sup>-2</sup> yr<sup>-1</sup> and<sup> </sup>0.111 kg CO<sub>2</sub>-eq m<sup>-2</sup> yr<sup>-1</sup>, respectively), which implies that, when considering solely the climate impact of a created wetland over a 100-year horizon, it would be more beneficial to design and establish wetlands with large patches of emergent vegetation, and to limit the areas of open-water to the minimum necessitated by other desired ecosystem services.</span></p>
Dataset used in "Catchment landforms predict groundwater-dependent wetland sensitivity to recharge changes".
<p>Dataset in the form of text files, all 60 presented catchments are identified by the HydroATLAS database ID in each file. Catchment topography figures are available following their HydroATLAS ID. For the seepage distribution, one text file is presented for each catchment named with the corresponding catchment ID. Code to generate desaturation parameters (lambda and n) and ML models are saved in a common directory (catchment_desaturation_estimator), code is commented to facilitate reproducibility. </p>
Fig. 1 in An Overview Of The Ecological Values Of Soumar Wetland On Waterbirds Diversity
Fig. 1. Geographical location of the Soumar wetland (Setif, Northeast Algeria).
Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem
<p>Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem</p><p>M. Mahdian1, R. Noori2,3,*, M.M. Salamattalab1, E. Heggy4,5, S.M. Bateni6, A. Nohegar2, M. Hosseinzadeh1, S.M. Siadatmousavi1, M.R. Fadaei7, S. Abolfathi8<br>1School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran 1684613114, Iran. 2Graduate Faculty of Environment, University of Tehran, Tehran, 1417853111, Iran. 3Faculty of Governance, University of Tehran, Tehran 1439814151, Iran. 4Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA. 5Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA. 6Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA. 7Niroo Research Institute, Tehran 1468613113, Iran. 8School of Engineering, University of Warwick, Coventry CV4 7AL, UK.</p><p>*Corresponding author: Roohollah Noori (<a href="mailto:noor@ut.ac.ir">noor@ut.ac.ir</a>); ORCID: <a href="http://orcid.org/0000-0002-7463-8563">http://orcid.org/0000-0002-7463-8563</a></p><p>This manuscript is submitted to JGR: Atmospheres</p>
Data from: Associations with landscape and local-scale wetland habitat conditions vary among migratory shorebird species during stopovers
<p>Wetlands provide many ecosystem services and functions, including critical stopover habitat for numberous migratory shorbirds species. We conducted shorebird surveys at >14,000 wetlands and associated observed abundance with wetland variables for 16 species. We found that the scale at which observed abundance was associated with wetland extent varied among speceis, and that for most species abundance was positively associated with higher wetland density, presence of shallow water, more usable area, and limited vegetation. There was considerable variation in the strength and sometimes direction of responses. Our study helps inform optimal habitat requirementes for shorebirds.</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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.