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6 results for “soil water balance”
Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model
<p>Dataset accompanying the publication "Assessing Future Hydrological Impacts of Climate Change on High-Mountain Central Asia: Insights from a Stochastic Soil Moisture Water Balance Model"</p> <p> </p>
Biocrust impacts on dryland soil water balance: A path towards the whole picture
<p><span>As a crucial living feature inhabiting the soil-atmosphere boundary, biocrusts play a vital role in liquid water or vapor transport through surface soil and thus have strong effects on soil water regimes. However, it remains unclear how biocrusts affect annual or multi-year soil water budgets through the regulation of evaporation outputs and NRW or infiltration inputs. Thus, we used automated microlysimeters to continually investigate the differences in evaporation and NRW rates between moss-dominated biocrusts and bare soil at 0−5 cm depth for two years. </span><span>The upper </span><span>30 cm of</span><span> soil moisture (θ) and water storage (<em>W</em>) of bare soil and biocrusts were also monitored.</span> <span>Our results showed that the daily evaporation rate (<em>E</em>) of biocrusts was 17% higher than bare soil. Especially after rainfall events, biocrusts had higher <em>E </em>and larger cumulative evaporation than bare soil. Besides, the daily NRW of biocrusts averaged 15% higher than bare soil over two years. </span><span>Furthermore, biocrusts increased θ by 11%−76% at 0−10 cm depth but decreased θ by 32%−56% at 20−30 cm depth in comparison to bare soil, and they subsequently decreased <em>W </em>by 20% at 0−30 cm depth.</span><span> Summarized annually, the NRW amount of biocrusts was 19% higher than bare soil</span><span>, but at the same time the cumulative evaporation of biocrusts was also 19% higher than bare soil. Finally, biocrusts resulted in more water loss at shallow depth through evaporation and lessened total <em>W </em>throughout 0−30 cm depth of soil. These findings demonstrate that although biocrusts input more NRW into surface soil, these water inputs partially offset their intensified evaporation. Given that all rainfall water infiltrates into the soil in our study system, our findings indicate that biocrusts may have an overall negative effect on soil water balance there, while at the same time increasing water storage and availability of the deeper soil underlying biocrusts.</span></p>
Data from: A novel mechanism for grazing lawn formation: large herbivore-induced modification of the plant-soil water balance
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Data from: A coupled soil water balance model for simulating depression-focused groundwater recharge
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Biocrust impacts on dryland soil water balance: A path towards the whole picture
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LBA-ECO LC-14 Modeled Soil and Plant Water Balance, Amazon Basin, 1995-2001
A simple GIS soil-water balance model for the Amazon Basin, called RisQue (Risco de Queimadasa -- Fire Risk), was used to conduct an analysis of spatial and temporal patterns of drought in moist tropical forests and the complex relationships between patterns of drought and forest fire regimes from 1995 through 2001. The provided data products are the model output estimates of maximum plant-available soil water (PAWmax) at 10 m depth at 8 km resolution and model data inputs of monthly precipitation and evapotranspiration. RisQue estimates PAWmax at 10 m depth starting with a map of PAWmax (1-2 m depth) developed using 1,565 RADAMBRASIL soil texture profiles and empirical relationships between soil texture and critical soil water parameters and then interpolated to 8 km resolution. In RisQue, plant-available soil water (PAW) is depleted by monthly evapotranspiration estimated using the Penman Monteith equation and satellite-derived radiation and recharged by monthly precipitation.There are three data files with this data set, two *.zip, and one GeoTIFF image (.tif). The *.zip files expand to 83 *.asc files of evapotranspiration and 89 *.asc files for precipitation data. The image (.tif) is a map of maximum percent available water at 10 m depth. All the files in this data set are in standard arc/info asciigrid format at 8 km resolution.
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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.
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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
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