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154 results for “Water table”
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for April-November 2012.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR for April-November 2012.
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for March-November 2013.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR for Mar-November 2013.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for April-November 2012.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - November 2012
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for March-November 2013.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for Mar - November 2013
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for April-November 2014.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - November 2014
Marsh water table height, logging data from the railroad Spartina marsh site on the Parker River for April-November 2015.
Measurements of water table height in the Parker River marsh located downstream of the railroad bridge. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the railroad site, MAR-PR-Wtable-RR for April-October 2015.
Marsh water table height, logging data from the Typha marsh site on the upper Parker River for April-November 2015.
Measurements of water table height in the upper Parker River Typha sp. marsh. Measurements were taken every 5 minutes at each logger along a transect of water level loggers running perpendicular to the Parker River bank at the Typha site, MAR-PR-Wtable-T, for April - November 2015
The observed data used in paper titled "A hydrographic method to identify groundwater net recharge, barometric effect, and evapotranspiration from a complicated semidiurnal water table fluctuation"
<p>The water level and atmospheric pressure within the monitoring well located the semi-arid loess hilly-gully region on the piedmont of western Shaanxi Province, China (34°18′36″ N, 107°07′55″ E), were automatically monitored at 20-min intervals by the Levelogger and Barologger, respectively. These data were used as a case example to state a method of estimating groundwater net recharge rate, barometric efficiency and hourly-scaled groundwater evapotranspiration rate.</p>
Data: On the role of water table depth, and urban and vegetation cover on groundwater dry period susceptibility
Open the record for dataset details and reuse information.
A deepened water table increases the vulnerability of peat mosses to periodic drought
<p>Here we address the combined impact of multiple stressors that are becoming more common with climate change. To study the combined effects of a lower water table (WT) and increased frequency of drought periods on the resistance and resilience of peatlands, we conducted a mesocosm experiment. This study evaluated how the photosynthesis of lawn Sphagnum mosses responds to and recovers from an experimental periodic drought after exposure to the stresses of a deep or deepened WT (naturally dry and 17-year-long water level drawdown in fen and bog environments. We aimed to quantify if deep WTs 1) support acclimation to drought, or 2) increase the base-level physiological stress of mosses, or 3) exacerbate the impact of periodic drought. There was no evidence of acclimation in mosses from drier environments; periodic drought decreased the photosynthesis of all Sphagnum mosses. Water level drawdown decreased the photosynthesis of bog-originating mosses before periodic drought, indicating that these mosses were stressed by the hydrological change. Deep WTs exacerbated Sphagnum vulnerability to periodic drought, indicating that the combination of drying habitats and increasing frequency of periodic drought will lead to a rapid transition in lawn vegetation. Water-retaining traits may increase Sphagnum resilience to periodic drought. Large capitula size was associated with a higher resistance; the bog-originating species studied here lacked large capitula or dense carpet structure and were more vulnerable to drought than the larger fen-originating species. Consequently, lawns in bogs may become threatened. Recovery after rewetting was significant for all mosses, but none completely recovered within three weeks. The most drought-resilient species had fen origin, indicating that fens are less likely to undergo a sudden transition due to periodic drought.</p> <p><strong>Synthesis:</strong> Water level drawdown associated with climate change increases the sensitivity of Sphagnum mosses to periods of drought and moves them closer to their tipping point as species on the edge of their ecological envelope rapidly shut down photosynthesis and recover poorly.</p>
Water table depth dynamics and surface soil moisture content from three Scottish peatland areas (2021-2022)
<p>This compilation of datasets from three monitoring sites on peatland in Scotland includes water table depth dynamics and surface soil moisture content and covers the period 2021-2022. Further data will be added on an annual basis. This is version 2 of the dataset, which corrects a small number of data QC issues (see README).</p>
No evidence for trade-offs between bird diversity, yield and water table depth on oil palm smallholdings: implications for tropical peatland landscape restoration
<p>Tropical peat swamp forests retain large carbon stocks and support unique biodiversity, but clearance and drainage for agriculture have resulted in fires, carbon emissions and biodiversity losses. Initiatives to re-wet cultivated peatlands may benefit biodiversity if this protects remaining forests from fire and agricultural encroachment, but there are concerns that re-wetting could reduce yields and damage livelihoods, as relationships between drainage, on-farm biodiversity, and crop yields have not been studied.</p> <p>We examined oil palm fruit yields and bird diversity on 41 smallholder farms in Jambi (Sumatra, Indonesia), which varied in drainage intensity (12-month mean water table per plot from August 2018 to August 2019: -52 to -3 cm below ground). We also compared farm bird diversity with a neighbouring area of protected forest (11,000 ha, 21 plots; mean water table per plot -3 to +15 cm).</p> <p>Bird species richness (3-18 species per plot), species composition, and oil palm yields (4.5-19.2 t fresh fruit bunch ha-1 yr-1) varied among farms, but were not detectably affected by water table depth, although ground-level vegetation was more complex on wetter farms. Bird richness in oil palm (mean = 10.3 species per plot) was <50% of that in forest (26 species per plot), and only three out of 35 conservation-priority species found in forest were recorded in oil palm.</p> <p>Synthesis & applications: Tropical peatlands in Indonesia have been drained to allow farmer access and improve farm yields, but we found no trade-offs between drainage depth, yields or bird diversity on smallholder oil palm farms in our study landscape. Current restoration initiatives to re-wet peat may benefit farmers by reducing fire risk, without affecting yields. Wetter farms had increased understorey vegetation complexity, but this did not affect bird diversity, so we find no evidence that re-wetting improves on-farm biodiversity within the studied range of drainage depths. However, on-farm fire reduction efforts in cultivated peatlands, including re-wetting, will be vital for reducing the risk of fires escaping into nearby forests, which contain unique and diverse bird species assemblages. Protection of remaining peatland forests from fire and clearance is key for biodiversity conservation, and for providing a source of seed dispersers and genetic material for future forest and landscape restoration efforts. Restoration of more biodiversity-friendly land covers will improve landscape permeability and help conserve species and the ecosystem services they deliver.</p>
Table 1 for Radiocarbon and Stable Carbon Isotope Constraints on the Propagation of Vent CO2 to Fluid in the Acidic Kueishantao Shallow Water Hydrothermal System
<p>This table contains radiocarbon (<sup>14</sup>C) and stable carbon isotope (<sup>13</sup>C) compositions of CO<sub>2</sub> in vent gas, dissolved inorganic carbon and particulates of hydrothermal fluid from Kueishantao shallow water hydrothermal system, offshore northeastern Taiwan.</p>
Supporting dataset: "Analysis of tide and offshore storm-induced water table fluctuations for structural characterization of a coastal island aquifer"
<p>Included in this repository are supporting field data and final model input files used to produce the results of the manuscript:</p> <p>Trglavcnik, V., Morrow, D., Weber, K. P., Li, L., & Robinson, C. E. (2017), "Analysis of tide and offshore storm-induced water table fluctuations for structural characterization of a coastal island aquifer."</p> <p>This dataset contains:</p> <ul> <li>SableIsland_data.xlsx <ul> <li>Data used to produce figures in the above manuscript. </li> </ul> </li> <li>Final_SS.zip <ul> <li>Input files for the final model (see Figure 3 in manuscript), steady-state SEAWAT simulation. </li> </ul> </li> <li>Final_PBC.zip <ul> <li>Input files for the final model, transient SEAWAT simulation with a sinusoidal tidal boundary implemented by the Periodic Boundary Condition package (developed for MODFLOW by Post, 2011).</li> </ul> </li> </ul> <p>All data and files are licensed under Creative Commons Attribution Share Alike 4.0 International.</p> <p> </p> <p> </p>
Diatom cell-size composition as a novel tool for quantitative estimates of water table in peatlands
<p>Diatom cell-size composition is an indicator of aquatic environmental changes, but has been rarely investigated, especially in semi-terrestrial peatlands. In this study, both taxonomic composition and cell-size composition of diatoms were analyzed in 41 samples from two montane peatlands, northeastern China. Redundancy analyses revealed that diatom taxonomic composition was significantly related to the depth to the water table (DWT) and Ca<sup>2+</sup>, while cell-size composition was significantly associated with DWT and Si. DWT was the most important factor and its sole effect explained 26.2% and 17.9% of the total variance in taxonomic composition and cell-size composition, respectively. Accordingly, diatom-based water-table transfer functions were developed based on taxonomic composition and cell-size composition, respectively. The maximum likelihood (ML) model based on diatom taxonomic composition had the best performance, with the correlation coefficient value (R2) of 0.78 and the root mean squared error of prediction (RMSEP) of 6.66 cm. The ML model based on cell-size composition had similar performance, with the R2 of 0.78 and the RMSEP of 6.87cm, suggesting that diatom cell-size composition can be a new quantitative means to track past water-table changes.</p>
Water table dynamics and surface soil moisture from an experimental peatland restoration area (Forsinard, Scotland, UK), 2017-2022/2023
<p>This dataset is from an experiment aimed to understand the changes in water level and soil moisture dynamics after rewetting of formerly afforested blanket bog areas. Specifically, it was aiming to test whether the water table and soil moisture dynamics in these areas return to those of control areas that had never been drained or afforested. The data span the period of summer 2017- summer 2022/2023, with gaps in individual time series marked with -9999 entries.</p>
Dataset of predicted dynamic specific yield under periodic water table oscillations
<p>This dataset accompanies the submitted paper in the Water Resources Research: An approximate model for predicting the specific yield under periodic water table oscillations.</p> <p>The dataset includes 299 numerical experiments on predicting dynamic specific yield with different soil properties and different amplitudes of groundwater level oscillations. With this dataset, we proposed an approximate model for predicting the specific yield under diurnal and seasonal water level fluctuations.</p>
Compilation of mean monthly water table depth data (2015-2023) and linkages to further published sources of water table data, from European peatlands
<p>This dataset (WH_D1_4_meanmonthly.csv) contains mean monthly water table depth data for 211 point locations, for which the data were originally captured at a higher temporal resolution and were additionally clipped to the temporal window (2015 onwards) of the available Earth Observations in the Sentinel-1 and Sentinel-2 archive. Links to higher resolution/longer time series of these source data, where these are already in the public domain, have been identified in the data submission in case future data users require more detailed water table datasets.Information on site co-ordinates, data period, condition class, and other details, are provided in the associated metadata file (WH_D1_4_metadata.csv). Further links to 165 additional water table dynamics data have been provided for future users, but were not summarised as monthly means in this data submission in case the source data are updated in future. Please refer to the README file for methodological details and important disclaimers.</p>
Table 4 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia
<p><b>Table 4:</b> Growth and production of IMC poly-culture & GIFT mono-sex tilapia in T1 & T2 (2018-19)</p><table><tbody><tr><th><b>Parameters</b></th><th><b>Growth-production data T1 T2</b></th></tr></tbody><tbody><tr><th>Initial avg. weight (g)</th><td>19</td><td>8</td></tr><tr><th>Final avg. weight (g)</th><td>816</td><td>1333</td></tr><tr><th>Survival rate (%)</th><td>91</td><td>93.75</td></tr><tr><th>Production (kg/pond/9 months)</th><td>3383</td><td>8000</td></tr><tr><th>Total production (kg/ha/9 months)</th><td>8457.5</td><td>20000</td></tr></tbody></table>
Table 2 in Water quality, yield and cost-benefit analysis of rain water ponds of Cuttack district: A comparison between Indian major carp and GIFT Tilapia
<p><b>Table 2:</b> Fish stocking & production data-IMC poly-culture & GIFT Tilapia mono-sex culture in T1 & T2 (2018-19)</p><table><tbody><tr><th><b>Tank Pond Area Stocking Date of No. (ha) (no) Stocking</b></th><th><b>Types of fish Stocking</b></th><th><b>Growth estimate during stocking (August-2018)</b></th><th><b>Growth estimate during final Total FCR harvest (May-June-2020) production (kg)</b></th></tr></tbody><tbody><tr><th></th><td></td><td></td><td></td><td><b>Length in (cm) Weight (g) Length in (cm)</b></td><td><b>Weight (g)</b></td><td><b>Weight in (kg)</b></td><td></td></tr><tr><th>T1</th><td></td><td>4000</td><td></td><td><i>Catla</i></td><td>9-12 18-23</td><td>28.3-39.6</td><td>980-1070</td><td>1682</td><td>1.7</td></tr><tr><td>0.4</td><td>05.09.2020 <i>Rohu</i></td><td>10-12 18-24</td><td>28.0-41.3</td><td>700-750</td><td>880</td></tr><tr><td></td><td></td><td><i>Mrigala</i></td><td>8-11 15-19</td><td>29.4-37.6</td><td>680-720</td><td>821</td></tr><tr><th>T2</th><td>0.4</td><td>6400</td><td>GIFT tilapia 15.09.2020 (<i>O. niloticus</i>)</td><td>6-7 8-9</td><td>28.3-32.1</td><td>1333</td><td>8000</td><td>1.2</td></tr></tbody></table>
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