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52 results for “Water content, soil”
Raw neutron counts from a soil water content hydroprobe at 15 NPP study sites at the Jornada Basin LTER, 1989-2019
This data package contains raw neutron count data for monthly soil water probe measurements made at 15 net primary production (NPP) study locations on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Once a month, soil water content measurements are made at 10 depths (where possible) at each of 10 access tubes at each of the 15 NPP sites using a neutron probe (CPN Model 503DR Hydroprobe). This dataset consists of the count of thermalized neutrons at 30 cm depth intervals to a maximum depth of 300 cm. These counts are subsequently converted to volumetric water content as provided in a separate EDI package (knb-lter-jrn.210013003). The NPP sites these measurements are made at represent the 5 dominant vegetation types of the Jornada Basin, which consist of 3 shrub (creosotebush, mesquite dune, and tarbush) and 2 grass (upland grassland and playa) types. Three NPP sites are located in each of the types. Collection of this dataset was discontinued when the neutron probe instrument was replaced in mid-2019. Neutron probe soil water content data are still collected from the same NPP locations using a new instrument, and the raw neutron counts and corrected VWC data are found in EDI dataset knb-lter-jrn.210013003. This dataset is complete.
Soil Temperature and Water Content in Macrosystems Biodiversity Project at Harvard Forest 2011-2012
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. Readings of soil temperature and soil moisture were taken with HOBO sensors from November 2011 to November 2012. These sensors were installed at five experimental tree growth plots installed by the Enquist Lab (PI, Brian Enquist) from the University of Arizona as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Soil volumetric water content calculated from neutron hydroprobe data at 15 NPP study locations at the Jornada Basin LTER site, 1989-ongoing
This data package contains soil water content data calculated from monthly neutron hydroprobe count measurements made at 15 net primary production (NPP) study locations on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Once a month, neutron probe measurements are made at 10 depths (where possible) at each of 10 access tubes at each of the 15 NPP sites using a neutron probe (CPN Model 503DR Hydroprobe and CPN Model 503 Elite Hydroprobe). The raw dataset, also on EDI (knb-lter-jrn.210013001), consists of the count of thermalized neutrons at 30 cm depth intervals to a maximum depth of 300 cm. In this data package, the raw neutron counts have been adjusted for radioactive decay of the neutron source, then converted to volumetric water content (VWC) to a maximum depth of 270 cm using calibration equations (deepest probe depths are excluded from VWC calculations). The NPP sites these measurements are made at represent the 5 dominant vegetation types of the Jornada Basin, which consist of 3 shrub (creosotebush, mesquite dune, and tarbush) and 2 grass (upland grassland and playa) types. Three NPP sites are located in each of the types. This data collection is ongoing with new data collected monthly (updates to the EDI package may occur less frequently). NOTE: This version of the dataset includes calibrated data from a new hydroprobe unit that has recently been put into service. Repair parts were no longer available for the older unit.
H2Ohio Wetland Monitoring Program Surface Water and Soil Nutrient Content from Wetlands across Ohio, USA (2021–2022).
This data package contains surface water and soil nutrient concentration datasets from wetland projects across Ohio, USA monitored by the H2Ohio Wetland Monitoring Program. Monitoring began in May 2021 and is ongoing. This data package will be updated yearly. In general, surface water samples are collected to measure concentrations of major nutrients, including inorganic nitrogen, ammonium-nitrogen, total nitrogen, dissolved reactive phosphorus, and total phosphorus. Sampling from major inflows and outflows is prioritized at flow-through wetland projects to support the calculation of nutrient filtration estimates using mass balance approaches. Surface water samples may also be collected from representative zones or hydrologic features with sufficient standing water (i.e., vernal pools, vegetated areas, interconnected smaller pond-like areas, etc.) to assess nutrient conditions and processes within the wetland system. The majority of surface water sampling (~monthly) occurs from March through December, with opportunistic sampling in January and February. Every effort is made to collect samples during hydrologic events (i.e., storms) as well as baseflow conditions. Concurrent with surface water sampling, hand-held multiparameter sensors are used to measure snapshots of physicochemical characteristics including dissolved oxygen, temperature, specific conductance, turbidity, and pH. Soil samples (0-5 cm) are collected in saturated and unsaturated zones at each identified soil "patch" determined from expert opinion, soil maps (Natural Resources Conservation Service), and/or hydrogeophysical assessment. Additionally, soil samples may be collected along major visible hydrologic or elevation gradients. Soil sampling occurs 1-3 times a year in select wetland projects.
Soil Water Content at Harvard Forest HEM and LPH Towers 1998-2007
Water content of the top 20 cm of soil was measured using 1.5 inch diameter soil cores. Soil water content is of particular interest and importance in explaining patterns of soil respiration (including root respiration) and ecosystem respiration, 60 to 75% of which occurs below the ground surface at Harvard Forest. Soil water content in deciduous forest near the Little Prospect Hill Forest was in general found to be more variable than near the Hemlock tower. One influence contributing to this is the presence of a water table within 1 m of the soil surface near the hemlock tower, compared to a water table at unknown depth in the deeply drained soils in most parts of Little Prospect Hill. Relatively low evapotranspiration at the Hemlock tower site during the period when deciduous trees are foliated also contributes to higher water content in soil there, and a relatively thick surface organic layer. These influences tend to maintain soil respiration at higher levels in the hemlock forest during dry summers, but excessive moisture in the soil at the Hemlock site during very wet summers appears to suppress soil respiration.
Soil water content measurements and rainfall data for plots with experimentally altered precipitation and nutrient inputs at the Jornada Basin LTER site, 2011-ongoing
This dataset contains soil volumetric water content data collected starting in 2011 for a long-term precipitation and nutrient manipulation experiment at the Jornada Basin LTER site in southern New Mexico, U.S.A. This experiment uses precipitation shelters and irrigation treatments to manipulate water inputs, and fertilization treatments to alter nitrogen input to 2.5 x 2.5 meter plots in a desert grassland. Soil sensors are installed at surface and deep soil layers in each plot and collect hourly averages of volumetric water content using a time-domain reflectometry method. This dataset contains daily averages. This is an ongoing study and the dataset will be updated yearly.
Soil water content measurements in plots with experimentally altered precipitation variability at the Jornada Basin LTER site, 2011-ongoing
This dataset contains soil moisture data from a study at the Jornada Experimental Range (JER) in southern New Mexico. The study was designed to assess the effect of interannual variability in precipitation on average aboveground net primary productivity (ANPP) in Chihuahuan Desert grasslands. The study began in 2009 and has five precipitation treatments (see Methods). While the study began in 2009, contains 50 plots (10 per treatment) and is ongoing, these data have only been collected since July 2011 in a subset of 20 plots (4 per treatment). This dataset is intended to provide information about the amount of water in surface and deep soil layers, as well as verify that experimental precipitation manipulations are effective. This is an ongoing dataset that will be updated yearly.
Soil volumetric water content data from fifteen locations, 3 depths at each location, within the Tromble Weir experimental watershed at the Jornada Basin LTER site, 2010-ongoing
This data package contains 30-minute soil volumetric water content (VWC) data collected at fifteen locations along 3 transects (5 locations per transect) in the Tromble Weir Watershed area of the Jornada Basin in southern New Mexico, USA. At each location, soil sensors measure VWC at three depths, 5, 15 and 30 cm, in units of cubic meters of water per cubic meter of soil. These measurements are used to help quantify the water balance across the small experimental watershed. Values have been used to investigate groundwater recharge, soil infiltration rates, and to evaluate the performance of hydrologic models. This is an ongoing dataset that will be updated annually.
Gravimetric soil water content sampled in and around harvester ant nests in three habitats at the Jornada Basin LTER site, 1987
This dataset contains gravimetric soil water content measurements from harvester ant nests and reference soils in three nesting habitats at the Jornada Basin LTER site in 1987. The purpose of this investigation was to answer three general questions: 1. How does the modification of soil properties and the ratios of resources (e.g., water-N) by ants alter species assemblages of winter annual plants at the edge of the ant nests? 2. How does the "spring cleaning", clipping, predation or herbivory by ants affect success of the winter annual plants at the edge of ant nests? 3. Are there significant differences in the floristic assemblage and belowground standing crop (root biomass) between the edge of ant nest and the surrounding unaffected soils? Five ant nests and paired (non-nest) reference soils were sampled in three study locations on a monthly schedule from January to May 1987. This dataset contains percent (%) soil water content in these samples determined using the gravimetric method. This study was completed in 1987.
Soil water content (volumetric %) for 33kPa and 1500kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution
<p>Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. Training points are based on a global compilation of soil profiles (<a href="https://ncsslabdatamart.sc.egov.usda.gov/">USDA NCSS</a>, <a href="https://www.isric.org/projects/africa-soil-profiles-database-afsp">AfSPDB</a>, <a href="https://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/a351682c-330a-4995-a5a1-57ad160e621c">ISRIC WISE</a>, <a href="http://egrpr.esoil.ru/">EGRPR</a>, <a href="https://esdac.jrc.ec.europa.eu/content/soil-profile-analytical-database-2">SPADE</a>, <a href="https://open.canada.ca/data/en/dataset/6457fad6-b6f5-47a3-9bd1-ad14aea4b9e0">CanNPDB</a>, <a href="https://data.nal.usda.gov/dataset/unsoda-20-unsaturated-soil-hydraulic-database-database-and-program-indirect-methods-estimating-unsaturated-hydraulic-properties">UNSODA</a>, <a href="https://doi.pangaea.de/10.1594/PANGAEA.885492">SWIG</a>, <a href="http://www.cprm.gov.br/en/Hydrology/Research-and-Innovation/HYBRAS-4208.html">HYBRAS</a> and <a href="http://dx.doi.org/10.4228/ZALF.2003.273">HydroS</a>). Data import steps are available <a href="https://gitlab.com/openlandmap/compiled-ess-point-data-sets/-/tree/master/themes/sol/SoilHydroDB"><strong>here</strong></a>. Spatial prediction steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil/soil_water">here</a></strong>. Note: these are actually measured and mapped soil content values; no Pedo-Transfer-Functions have been used (except to fill-in the missing NCSS bulk densities). Available water capacity in mm (derived as a difference between field capacity and wilting point multiplied by layer thickness) per layer is available <strong><a href="https://doi.org/10.5281/zenodo.2629148">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize some of the maps use: <a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a> </li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>watercontent.33kPa = water content (volumetric percent) under field capacity (33 kPa suction),</li> <li>usda.4b1c = determination method: laboratory method code,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b10..10cm = vertical reference: 10 cm depth below surface,</li> <li>1950..2017 = time reference: period 1950-2017,</li> <li>v0.1 = version number: 0.1,</li> </ul>
Chemical composition, soil water content and 16S rRNA and ITS gene copy numbers of soil aggregates and bulk soil samples
<p>This repository contains all data to reproduce the analyses presented in "Distinct microbial communities are linked to organic matter properties in millimetre-sized soil aggregates", Simon et al 2024, <em>The ISME Journal </em>(DOI: 10.1093/ismejo/wrae156).</p>
Soil water content before and after rain events, May-July 2014-2016, Hainich, Germany, project AquaDiva
<p>This dataset contains soil water content data used for the analysis published in Fischer-Bedtke et al., (2023). It gives spatially distributed soil water contents evaluated at a rain event scale covering the following periods:</p> <p>May 5 - July 26 2014</p> <p>May 13 - July 28 2015</p> <p>May 25 - July 24 2016</p> <p>The enclosed files cover two different soil depth: topsoil (soil depth 7 cm) and subsoil (soil depth 27 cm).</p> <p>Fischer et al. (2023) give details about the included data and should be cited along the with the dataset when using the data.</p> <p><strong>Related datasets</strong></p> <p>Design information on the soil water content measurement points, including position to the next tree, hydraulic soil properties can be found in the follwowing associated dataset</p> <p>Metzger, Johanna Clara, Hildebrandt, Anke, & Filipzik, Janett. (2023). Soil moisture sensor network, design, location attributes and soil properties, Hainich, Germany, project AquaDiva (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8065170</p> <p> </p> <p><strong>References</strong></p> <p>Fischer, C., Metzger, J. C., Demir, G., Wutzler, T., and Hildebrandt, A.: Throughfall spatial patterns translate into spatial patterns of soil moisture dynamics – empirical evidence, Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2022-418, 2023.</p>
Soil salinity and water content at GCE-LTER vegetation monitoring plots in October 2010
Soil samples were collected in conjunction with Fall 2010 plant monitoring at half of the permanent vegetation monitoring plots in the creekbank and midmarsh zones at 10 GCE study sites. Pore-water salinity was determined by analysis of supernatant salinity in dried soil samples hydrated with a measured volume of deionized water.
Snow depth, soil frost depth and snow water content along an elevation gradient at the Hubbard Brook Experimental Forest.
Snow depth, soil frost depth and snow water content have been measured at several locations at the Hubbard Brook Experimental Forest (HBEF). In October 2010, as part of a study of the relationships between snow depth, soil freezing and nutrient cycling (http://www.ecostudies.org/people_sci_groffman_snow_summary.html), we established 6 20 x 20-m plots (intensive plots) and 14 10 x 10-m plots (extensive plots) following an elevation gradient, with eight of the plots facing north and twelve facing south. Snow and frost depth, and snow water equivalent sampling started in December 2010. Measurements on the extensive plots ended at the conclusion of snow coverage in spring, 2012. Measurements at the 6 intensive plots are ongoing and measurement frequency was increased from approximately bimonthly to approximately weekly beginning in the 2019-2020 snow cover season. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Raw neutron counts from a soil water content hydroprobe along the LTER-I transects (control and fertilized) at the Jornada Basin LTER, 1986-ongoing
This data package contains raw neutron count data from a series of soil neutron hydroprobe measurements along the permanent LTER-I transects located at Chihuahuan Desert Rangeland Research Center (CDRRC) in the Jornada Basin of southern New Mexico, USA. The control and treatment transects are parallel to each other and are 2.7 km in length extending from the middle of the College Playa to the foot of Mt. Summerford. The treatment transect was treated annually with ammonium nitrate fertilizer (NH4NO3 at 10g N/m2/yr) until 1987. Measurement stations are located at 30 meter intervals along each transect, and there are neutron probe access tubes located every station on the control transect (n=89) and at every fifth station at the treatment transect (n=19). Measurements were taken at 5 depths using a neutron probe (CPN Model 503DR Hydroprobe). Neutron probe readings in 3 non-weighing mini-lysimeters along each transect are also included. This dataset consists of the count of thermalized neutrons at 30 cm, 60 cm, 90 cm, 110 cm, and 130 cm depths. These counts are subsequently converted with transect site-specific calibration equations to the volumetric water content data provided in EDI packageID knb-lter-jrn.210012002. Measurements were taken at 2 week intervals from April 1982 to 1987 and monthly thereafter. Data collection for this study is ongoing.
ASM01 Soil water content measured by neutron probe at Konza Prairie
Data set contains measurements of soil moisture (%volume) at various depths (25-200 cm) in deep (lowland) soils collected on LTER grazed and ungrazed watersheds burned at 1-, 4-, and 20-year intervals. Soil moisture measured by the neutron probe method.
Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes
<p>I)SUMMARY</p> <p>This repository contains a harmonized database for the study of terrestrial ecosystem changes published in [Bueso et al., 2021]. It covers the period June 2010 - July 2020 and includes the following variables, which were harmonized to a common spatial scale of 25km and monthly temporal resolution and clustered as detailed in [Bueso et al., 2021]:</p> <p>- SM: soil moisture from SMOS-IC v2<br> - VOD: vegetation optical depth from SMOS-IC v2<br> - NDVI: Normalized Vegetation Difference Index from MODIS, product MOD13Q1 v6<br> - PREC: Rainfall from PERSIANN-CDR v2.2.</p> <p>Additionally, land cover information from MODIS MCD12Q1 collection 6 for years 2011 and 2019 is provided for each cluster.</p> <p>II) CONTACT</p> <p>For questions, please e-mail Diego Bueso at diego.bueso@uv.es</p> <p>III) DATABASE</p> <p>We provide the maps of identified clusters by quantile of SM and VOD and the code to generate Figs 1 and 2 of supplementary material in [Bueso et al., 2023]. We then provide for each identified cluster .mat files containing the variables described above. Further details are in the readme.txt file</p> <p>IV) CITE</p> <p>To properly acknowledge the dataset we kindly encourage users to (1) cite the DOI as an in-text citation and/or in the data acknowledgements in any publication and (2) reference the following publication: </p> <p>D. Bueso, M. Piles, P. Ciais, J-P. Wigneron, Á. Moreno-Martínez, G. Camps-Valls, "Soil and vegetation water content identify the main terrestrial ecosystem changes", National Science Review, 2023, <a href="https://doi.org/10.1093/nsr/nwad026">https://doi.org/10.1093/nsr/nwad026</a> </p>
New Hampshire Soil Sensor Network: Air Temperature, Soil Temperature, Soil Water Content, and Soil Electrical Conductivity, 2012 - ongoing
The goal of the New Hampshire Soil Sensor Network is to examine spatial and temporal changes in soil properties and processes as the climate changes. Data collected can also calibrate and validate models that examine how ecosystems may respond to changing climate and land use. To determine how soil processes are affected by climate change and land management, this soil sensor network measures snow depth, air temperature, soil temperature, soil volumetric water content, and soil electrical conductivity, as well as soil CO2 fluxes. This data package includes data from the air temperature, soil temperature, soil volumetric water content, and electrical conductivity sensors. Data were collected at the following sites: BRT = Bartlett Experimental Forest, Bartlett, NH; BDF = Burley-Demmerit Farm, Lee, NH; DCF = Dowst Cate Forest, Deerfield, NH; HUB = Hubbard Brook Experimental Forest, Woodstock, NH; SBM = Saddleback Mountain, Deerfield, NH; THF = Thompson Farm, Durham, NH; and Trout Pond Brook, Strafford, NH.
Soil volumetric water content calculated from neutron hydroprobe data along the LTER-I transects (control and fertilized) at the Jornada Basin LTER, 1986-ongoing
This data package contains volumetric water content (VWC) measurements calculated from soil neutron hydroprobe data collected on the permanent LTER-I transects located at Chihuahuan Desert Rangeland Research Center (CDRRC) in the Jornada Basin of southern New Mexico, USA. The control and treatment transects are parallel to each other and are 2.7 km in length extending from the middle of the College Playa to the foot of Mt. Summerford. The treatment transect was treated annually with ammonium nitrate fertilizer (NH4NO3 at 10g N/m2/yr) until 1987. Measurement stations are located at 30 meter intervals along each transect, and there are neutron probe access tubes located every station on the control transect (n=89) and at every fifth station at the treatment transect (n=19). Measurements were taken at 5 depths using a neutron probe (CPN Model 503DR Hydroprobe) and were then converted to VWC at 30 cm, 60 cm, 90 cm, 110 cm, and 130 cm depths. Neutron probe VWC readings taken in 3 non-weighing mini-lysimeters along each transect are also included. This dataset consists of the calculated water content (cm3 water/cm3 soil) obtained by applying site-specific calibration equations to data derived from the thermalized neutron counts found in EDI packageID knb-lter-jrn.210001001. Measurements were taken at 2 week intervals from April 1982 to 1987 and monthly thereafter. Data collection for this study is ongoing.
Soil volumetric water content calculated from neutron hydroprobe data at 15 NPP study sites at the Jornada Basin LTER, 1989-2011 (Deprecated)
This data package contains soil water content data calculated from monthly neutron hydroprobe count measurements made at 15 net primary production (NPP) study locations on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Once a month, neutron probe measurements are made at 10 depths (where possible) at each of 10 access tubes at each of the 15 NPP sites using a neutron probe (CPN Model 503DR Hydroprobe). The raw dataset, also on EDI (knb-lter-jrn.210013001), consists of the count of thermalized neutrons at 30 cm depth intervals to a maximum depth of 300 cm. In this data package, the raw neutron counts have been converted to volumetric water content (VWC) to a maximum depth of 270 cm using calibration equations (deepest probe depths are excluded from VWC calculations). The NPP sites these measurements are made at represent the 5 dominant vegetation types of the Jornada Basin, which consist of 3 shrub (creosotebush, mesquite dune, and tarbush) and 2 grass (upland grassland and playa) types. Three NPP sites are located in each of the types. This data collection is ongoing with new data collected monthly. NOTE: This data package is deprecated and will not be updated in the future. These VWC values were calculated using a now-outdated calibration method. Values of VWC calculated with the improved and fully documented calibration method are available in another EDI data package (knb-lter-jrn.210013003).
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