Estimated evapotranspiration from a hypothetical short grass with a height of 0.12 m, a surface resistance of 70 s m-1, and an albedo of 0.23 (no water stress). Dataset contains daily total estimated evapotranspiration.
In 1988 and 1990, the U.S.Geological Survey, Lawrence, KS, drilled 31 wells at 20 sites within the N04D watershed at the Konza Prairie Research Natural Area. The wells range in depth from about 2 to 13 meters, and are nested to include wells completed in alluvium/colluvium near the N04D drainage and in two Permian-aged limestone’s. In 1997, Konza LTER drilled an additional 4 wells at 3 sites, that range in depth from about 12 m to 37 m.
Data set contains results of chemical analysis of wetfall samples collected on Konza Prairie. Analysis is done by the Central Analytical Lab (CAL), Champaign, IL as part of the National Atmospheric Deposition Program (NADP). NADP data products available on the NADP/NTN web site (nadp.slh.wisc.edu/data/NTN/) include: Annual Data Summaries, Semiannual Data Reports, Annual and Seasonal Averages, Monthly Averages, and Weekly data. Konza Prairie LTER archives and provides the weekly data in electronic form.
Data set contains daily records of precipitation on 10 raingauges at 10 sites on Konza Prairie. Two sites (020A and 002C; SE) have 7-day clocks (one revolution per week), 7 have 24-hour clocks (one revolution per day), and the Headquarters raingauge generates daily data and 15 minute data. The Headquarters raingauge generates data year round. The remaining rain gauges are operated from April 1 to October 31. Precipitation amounts are recorded in mm.
Data set contains the monthly values of maximum, minimum and average temperatures and monthly total precipitation for Manhattan, KS since 1891. Data are in three separate files, one for each measurement. Data comes from the Weather Data Library (https://www.ncdc.noaa.gov/cdo-web/search?datasetid=GHCND) in the computer system office of the Cooperative Extension Service of Kansas State University, Manhattan Kansas. 211 Umberger Hall, (785) 532-6270.
The following weather data are included in this data set: hourly: mean temperature, mean relative humidity, mean wind speed, total precipitation total solar radiation, wind direction, max wind speed (sampled on the hour; record type 1) ; daily: mean, maximum and minimum air temperature, relative humidity, total precipitation, total solar radiation; mean, maximum and minimum soil temperature, average wind speed (sampled at midnight; record type 2). These data are collectecd by a micrologger at headquarters on Konza Prairie.
Water temperature is measured in streams draining catchments with annual, 2-year, 4-year, and 20-year burn treatments. Hourly measurements of water temperature (degrees C) are made in each of the four streams where discharge is continuously monitored (see data set ASD02).
Stream discharge is measured on a catchment (N04D), with 4-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
Stream discharge is measured on a catchment (N20B), with 20-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
Stream discharge is measured on a catchment (N01B), with 1-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
Stream discharge is measured on a catchment (N02B), with 2-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
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.
Rainfall simulation and overland flow experiments were performed on four plots at a single site on Konza from May to August, 1989. Two plots were treated with a late spring burn and two plots were left unburned. Five simulations were performed on burned plots and three simulatons on unburned plots. Each simulation consisted of a “dry run” followed 24 hours later by a 'wet run'. The dry run consisted of rainfall applied at an intesity of approximately 60 mm/hour.
Soil temperature was measured using temperature probes and dataloggers at selected depths in small plots tht were either burned annually, burned and clipped to remove aboveground biomass, or left unburned. Raw data was summarized into hourly readings and daily minimum, maximum, and mean temperatures.
‘Measurements include rainfall amounts, nitrate (NO3-N), ammonia (NH4-H), soluble reactive phosphate (SRP), and total nitrogen and phosphorus concentrations in bulk precipitation collected at multiple locations.
Amounts and nitrogen content of water passing through the canopy of tallgrass prairie are compared to similar measurements of bulk precipitation. Measurements include nitrate, ammonia, phosphate and organic nitrogen and phosphorus content of bulk precipitation and throughfall. Variables of interest include vegetation type and amounts, time of year, and time since burning.
Twenty-nine selected species of grasses, forbs, and woody vegetation characteristic of a variety of habitats on Konza Prairie are used for phenological measurements. These species are observed weekly for the entire growing season and changes in their phenological states are recorded. The following phenological states are used for this survey: (1) initiation of growth, (2) first anthesis, (3) duration of anthesis, (4) fruits mature, (5) leaves more than 90% dry.
The objectives of this project are to quantify the seasonably variable timing among meteoric precipitation, groundwater recharge, and groundwater temperature. Hypotheses are: 1. Because of the karst-like characteristics of the aquifers in N04d (and by extension, the entire region), recharge will be rapid during moderately large precipitation events where fractures are enlarged by dissolution and therefore highly conductive, except during the most active part of the growing season. 2.
Dataset contains 30min averages of many variables used to record changes in microclimatic conditions. Microclimate sensor stations were arrayed in discrete topographic positions (upland, slope, lowland) in 4 watersheds: 1D, 1B, 4B, 4F. No microclimate sensor stations were present in upland-1D or lowland-4B because eddy flux towers are present in these locations. Similar microclimate data is available from these flux towers during the time period of this study.
PBG datasets are associated with a long-term, large-scale study that is addressing the effects of fire-grazing interactions in the context of a Patch-Burn Grazing management system designed to promote grassland heterogeneity. Effects of patch-burn grazing management on plant and animal diversity and the nature and variety of wildlife habitat are being assessed in two replicate management units, each consisting of three pastures (watersheds) designated C03A/C03B/C03C and C3SA/C3SB/C3SC. In each patch-burn grazing unit, one watershed is burned and two that are left unburned in a given year.
Climate change is expected to shift precipitation regimes in the North American Central Plains with likely impacts on ecosystem functioning. In tallgrass prairies, water and nitrogen (N) can co-limit ecosystem processes, so changes in precipitation may have complex effects on carbon (C) and N cycling. Rates of N supply such as N mineralization and nitrification respond differently to short- and long-term patterns in water availability, and previous climate patterns may exert legacy effects on current N cycling that could alter ecosystem sensitivity to current precipitation regimes.