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52 results for “Water content, soil”
Soil water content under rainfall manipulation and nitrogen fertilization treatments at the Jornada Basin LTER site, 2007-2009
This data package contains soil water content data from a precipitation and nitrogen manipulation experiment conducted on the Jornada Experimental Range from 2006-2009. The objective of the study was to understand the interaction of precipitation and nitrogen dynamics on ANPP legacies. Rain-out shelters were used to create 5 levels of precipitation: 80% reduced, 50% reduced, ambient control, 50% increased, and 80% increased precipitation. Half of the plots were randomly assigned to receive ammonium nitrate fertilizer. In a subset of the plots, volumetric soil water content was monitored at shallow (0-5 cm) and deep (30-50 cm) depths. This data set contains the date of collection, block number, plot number, 2007-2008 precipitation treatment, 2009 precipitation treatment, nitrogen treatment, depth of soil probe, sensor voltage, and volumetric water content. Monitoring of soil moisture for this study was discontinued in November 2009. Also available are plant cover data from this study in data package knb-lter-jrn.210278002. For further information and results, see: Throop, H., L. G. Reichmann, O. Sala, and S. Archer. (2012), Response of dominant grass and shrub species to water manipulation: an ecophysical basis for shrub invasion in a Chihuahuan desert grassland. Oecologia 169: 373-383. https://doi.org/10.1007/s00442-011-2217-4 Reichmann, L. G., O. E. Sala, and D. P. C. Peters. (2013), Water controls on nitrogen transformations and stocks in an arid ecosystem. Ecosphere 4(1):11. https://doi.org/10.1890/ES12-00263.1
Nitrate, ammonium, and water content of mesquite root tube soil from three habitats at the Jornada Basin LTER site, 1987
This data package contains data on measured root tube soil nutrients from soil cores collected under mesquite (Prosopis glandulosa)at three habitat types of the Jornada Experimental Range and New Mexico State University College Ranch. These habitat types include: 1)playa, 2)dunes, and (4)grassland. Soil core samples were collected in 1987 by hand-augering a reference core and a root tube core. Subsamples were analyzed for nitrate, ammonium, and soil moisture contents. This data set consists of the date of collection, collection site, nitrate concentration, ammonium concentration, and percent soil moisture. Collected variables also include treatments (irradiation and nematicide) that are not well-documented at this time. Data collection was completed in 1987.
Rainfall intensification enhances deep percolation and soil water content at the Kellogg Biological Station, Hickory Corners, MI (2015 to 2016)
Dataset AbstractData supporting the paper Hess, L., E. L. Hinckley, G. P. Robertson, S. K. Hamilton, and P. Matson. 2018. DOI: 10.2136/vzj2018.07.0128original data source http://lter.kbs.msu.edu/datasets/198
Pulse-Press Project (P3): Continuous soil temperature and volumetric water content (VWC) measurements, McMurdo Dry Valleys, Antarctica (2012-2021, ongoing)
Climate warming in polar regions is associated with thawing of permafrost, resulting in significant changes in soil hydrology, biogeochemical cycling, and in the activity and composition of soil communities. While ongoing directional climate warming presses can elicit such responses over decadal time scales, their manifestation typically occurs as discrete thawing pulses. Indeed, in the McMurdo Dry Valleys of Antarctica, abrupt changes in community structure and biogeochemical cycling in terrestrial and aquatic ecosystems following a summer warming event (Jan. 2002) exceeded the influences of a decadal cooling trend in both magnitude and rate of response. Thus, we anticipate that climate-mediated permafrost changes and their associated impacts on soil communities and biogeochemical cycles may occur over seasonal time scales. The Pulse-Press Project (P3) experiment was established in 2012 as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) program to investigate impacts of seasonal wetting on ecosystem structure and functioning by simulating different frequencies of permafrost thawing events in Antarctic permafrost soils. Since the top horizons of most Antarctic soils are dry permafrost (i.e., there is insufficient water content to generate ice-cement), with ice-cement or massive ice typically below 30 cm, permafrost thawing events are likely to result in subsurface movements of water that may manifest as groundwater seeps down gradient. The P3 experiment consists of three permanent plots situated on the south-facing hillslope above Many Glaciers Pond in Taylor Valley. Each plot is 15 m by 7.5 m with a trench on the upslope end that is used for experimental wetting events. The Press plot receives water every austral summer, the Pulse plot receives water every other austral summer, and the Control plot never receives water, serving as the ambient treament. Each plot is instrumented with a network of soil moisture and temperature sensors, positioned
Continuous soil temperature, specific conductance, and volumetric water content measurements from the F6 Active Layer Monitoring Station (ALMS01), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at F6 (ALMS01), located on the south shore of Lake Fryxell.
Continuous soil temperature, specific conductance, and volumetric water content measurements from the Wormherder Creek Active Layer Monitoring Station (ALMS02), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at Wormherder Creek (ALMS02).
Continuous soil temperature, specific conductance, and volumetric water content measurements from the Von Guerard Stream Active Layer Monitoring Station (ALMS03), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at Von Guerard Stream (ALMS03).
Continuous soil temperature, specific conductance, and volumetric water content measurements from the Green Creek Active Layer Monitoring Station (ALMS04), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at Green Creek (ALMS04).
Continuous soil temperature, specific conductance, and volumetric water content measurements from the Water Track B Active Layer Monitoring Station (ALMS06), McMurdo Dry Valleys, Antarctica (2014-2021, ongoing)
As part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project, five Active Layer Monitoring Stations (ALMSs) were established throughout Taylor Valley, Antarctica to support new research foci around the thermal-moisture dynamics of soils that may control habitat conditions and faunal responses to seasonal and annual freezing cycles in this ecosystem. Two ALMSs were established adjacent to streams (Green Creek, Von Guerard Stream), with sensors installed through the active layer from the thalweg out to the shoreline and dry soil beyond. Two ALMSs were similarly established adjacent to water tracks (Wormherder Creek, Water Track B) that are zero-order drainages of snow and ice melt that rarely have surface flow. The remaining station was established in dry soil (F6) to serve as an ambient control. ALMSs measure soil temperature, soil moisture (as volumetric water content; VWC), and specific conductance (as electrical conductivity; EC) through the active layer (soil surface down to the frost table) at several locations from the water’s edge to dry soils. This data package contains measurements from the Active Layer Monitoring Station at Water Track B (ALMS06).
Predicted soil water content (volumetric %) for 33kPa and 1500kPa suctions at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
<p>Migrated to: <a href="https://doi.org/10.5281/zenodo.2629589">https://doi.org/10.5281/zenodo.2629589</a></p>
Asynchronous changes in precipitation and soil water content decelerate alpine vegetation greening
<p>data for "Asynchronous changes in precipitation and soil water content decelerate alpine vegetation greening".</p>
Daily soil water content under different tillage techniques in Józsefmajor Experimental and Training Farm, Hungary
<p>Continous soil water content monitoring of a Central European chernozem type soil under mouldboard ploughing (MP) and no-tillage (NT) treatments</p> <p>Measurement frequency was 10 minutes, aggragated daily mean data are presented.</p> <p>Sampling depths: 5-10, 15-20, 30-35, 40-45 cm</p> <p><strong>Site description:</strong> Józsefmajor Experimental and Training Farm's long-term tillage experiment (Hungary, 47.688, 19.605).</p> <p>crop rotation, adaptable fertilization, Haplic Kastanozem (Aric, Pantoloamic, Pachic, Bathycalcic) soil type,</p> <p> </p>
Soil temperature, volumetric water content and depth of thaw for ITEX CO2 flux survey plots 2003-2009.
Soil temperature, moisture content and thaw depth of the ITEX flux survey plots. Survey plots were located in the Toolik Lake LTER fertilization experiment in Alaska; at Imnavait Creek, Alaska; at Paddus, Latnjajaure and the Stepps site near Abisko in northern Sweden; at various sites in Adventdalen, Svalbard; in the Zackenberg valley, Northeast Greenland; at BEO near Barrow, Alaska and at the Anaktuvuk River Burn in Alaska. Measurements were made during the growing seasons 2003 to 2009.
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>
Metatranscriptomic response of the wheat holobiont to decreasing soil water content
<p><strong>Background</strong></p> <p>This dataset contains processed high throughput metatranscriptomics (RNA) sequencing data related to the scientific article entitled <em>Metatranscriptomic response of the wheat holobiont to decreasing soil water content</em>. </p> <p>The files available in this archive are described below:</p> <p><strong>Contigs abundance:</strong><br> contigs/qc_mapping_stats.tsv<br> Contains read counts through various steps of the pipeline. </p> <p>contigs/merged_contigs_abundance.tsv<br> Number of reads that mapped to each contig for each sample. Rows = contig ID; column = sample ID.</p> <p>contigs/merged_contigs_abundance_cpm.tsv<br> Normalized (edgeR) number of reads (Count Per Million - CPM) that mapped to each contig for each sample. Rows = contig ID; column = sample ID.</p> <p><strong>Gene abundance:</strong><br> genes/merged_gene_abundance.tsv<br> Number of reads that mapped to each gene for each sample. Rows = gene ID; column = sample ID.</p> <p>genes/merged_gene_abundance_cpm.tsv<br> Normalized (edgeR) number of reads (Count Per Million - CPM) that mapped to each gene for each sample. Rows = gene ID; column = sample ID.</p> <p><strong>Beta diversity:</strong><br> Beta diversity tables computed (with microbiomeutils v0.9) on gene abundance and contig abundance and bacteria/archaea contigs abundance are available here:<br> betadiv/bray_curtis_contig_abundance/<br> betadiv/bray_curtis_gene_abundance/<br> betadiv/bray_curtis_contig_bacteriaArchaea/<br> Inside each of these directory is an index.html file allowing to visualize an Emperor interactive 3d vizualisation of beta diversity ordinations.<br> ./3d_bray_curtis_plot/index.html</p> <p><strong>Functional annotations:</strong><br> Gene functional annotations procedures are inspired from the JGI annotation workflow and is described in PMID: 31600863.</p> <p>annotations/annotations.tsv<br> Functional annotations and taxonomic lineages (see below) are merged in a single tabular separated file. <br> Contains the results of <br> DIAMOND BLASTp of each gene amino acid sequence against KEGG genes database.<br> DIAMOND BLASTp of each gene amino acid sequence against NCBI nr database.<br> HMMSCAN of each gene amino acid sequence against PFAM-A database (in domtblout format).<br> HMMSCAN of each gene amino acid sequence against PFAM-A database (in tblout format).<br> RPS-BLAST of each gene amino acid sequence against COG database.</p> <p><br> <strong>Contigs-based taxonomy:</strong></p> <p>consensus/taxonomy.tsv<br> Contains the taxonomy assignment for each contig. Taxonomy assignment was performed with PMID : 31640809. <br> consensus/feature_table_<normalized>_L1 to _L7.txt<br> Contigs abundance tables of each contig for each sample. Taxonomy assignment was performed with PMID : 31640809. </p> <p>consensus/feature_table.tsv<br> Contains the raw reads abundance of each contig across all samples.</p> <p>consensus/feature_table_normalized.tsv<br> Contains the normalized (with edgeR) reads abundance of each bin across all samples.</p> <p> </p>
Global soil water content (volumetric m³/m³) for 10kPa, 33kPa and 1500kPa suctions predicted at 4 depths (0, 30, 60, and 100 cm) at 1km resolution
<p>Volumetric soil water content (m³/m³) at 10 kPa, 33 kPa, and 1500 kPa suctions was predicted at four depths (0, 30, 60, and 100 cm) with a spatial resolution of 1 km. The maps of van Genuchten (vG) parameters from Gupta et al. (2022) were used to calculate the soil water content at these pressures, following Equation 1 from Gupta et al. (2022).</p> <p>References:</p> <ol> <li>Gupta, Surya, Papritz, Andreas, Lehmann, Peter, Hengl, Tomislav, Bonetti, Sara, & Or, Dani. (2022). Global maps of soil water characteristics parameters developed using the random forest in a Covariate-based GeoTransfer Functions (CoGTF) framework at 1 km resolution [Data set]. https://doi.org/10.5281/zenodo.6343570</li> </ol>
Theory of Maximum Entropy Production (MEP) and Its Application to Microwave Remote Sensing - Simultaneous Retrieval of Soil Moisture and Vegetation Water Content
<p>A theory of maximum entropy production (MEP) for electromagnetic wave propagation in dielectric materials is proposed and applied to simultaneously retrieving soil moisture (SM) and vegetation water content (VWC) from L-band microwave brightness temperature (TB). One representation of the MEP principle states that a non-equilibrium system corresponds to such a configuration of energy fluxes that minimizes a dissipation function under the constraint of energy conservation. The dissipation function for radiative transfer is formulated as an analogy of that for heat transfer. A new physical parameter, radiative inertia as an analogy of thermal inertia, is introduced to characterize radiative attenuation in dielectric media. The radiative inertia is parameterized in terms of the penetration depth of electromagnetic waves as a function of the complex dielectric constant. The MEP based retrieval algorithm predicts SM and VWC by minimizing the dissipation function under the constraint of the conservation of radiative energy. The retrievals of SM and VWC based on the MEP theory were validated against field observations in tropical and temperate forested regions of the Amazon and North America. The proof-of-concept analysis demonstrates the capability of the MEP algorithm for simultaneous retrievals of SM and VWC even for dense canopy (e.g. VWC > 5 kg m-2). The MEP method is a new theoretical framework for developing innovative remote sensing algorithms of the Earth system not limited to just microwave observations.</p><p>Note: We would appreciate if users contact us for the use of the data.</p>
Welker IPY snow fence shrub site soil temperatures and soil water content Toolik, Alaska 2008.
Soil temperature from three locations on the eastern side of the Toolik River where by snow fences were established as part of IPY. This is a study of how soil temperatures at 10 cm and soil moisture change across the summer at our IPY snow fence site .
SGS-LTER CO2 Elevation Study: Weekly volumetric soil water content, from TDR probes, for Open Top Chamber plots on the Central Plains Experimental Range, Nunn, Colorado, USA 1997-2001
This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82454. Volumetric soil water content was measured in the 0-15 cm soil depth layer using TDR probes, nearly weekly, in ambient and elevated CO2 open-top-chambers, and unchambered plots. A consistent improvement in SWC was seen in the elevated CO2 plots, while ambient-chambered plots often had lowest SWC. This research was conducted at the Central Plains Experimental Range, near Nunn, CO; lat.40degrees 40 minutes N; long. 104 degrees 45 minutes W in the shortgrass steppe region of NE Colorado, USA and as a collaboration between SGS-LTER and USDA-ARS researchers.
Soil water content determined at saturation and water holding capacity and calculated at 50% water filled pore space
<p>Optimizing soil microbial activity requires an equal balance between water- and air-filled porosity, i.e. 50% water filled pore space (WFPS). However, many soil biological investigations report water as some fraction of water-holding capacity (WHC). This study was conducted to fill a quantitative gap between WFPS and WHC. Soil samples (n=198) from 10 eastern U.S. states and one state in Brazil provided a wide distribution of clay (0.064-0.487 kg kg<sup>-1</sup>) and soil organic C (SOC, 5.2-52.0 g kg<sup>-1</sup>) concentrations (5-95% range). Gravimetric soil water content (SWC) was determined at WHC and at saturation. Both clay and SOC concentrations strongly influenced SWC; the effect of SOC was strongest and non-linear. To achieve 50% WFPS, gravimetric SWC was 0.69<u>+</u>0.10 times that of WHC and 0.59<u>+</u>0.03 times that of saturation. For soil biological assays, 50% WFPS could be reasonably accurately and simply achieved with calculations using gravimetric SWC at saturation multiplied by 0.59. </p>
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