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608 results for “irrigation”
data sets for the article Short‑term impact of crop diversifcation on soil carbon fuxes and balance in rainfed and irrigated woody cropping systems under semiarid Mediterranean conditions
<p>Diversifcation practices such as intercropping in woody cropping systems have recently been proposed as a promising management strategy for addressing problems related to soil degradation, climate change mitigation and food security. In this study, we assess the impact of several diversifcation practices in diferent management regimes on the main carbon fuxes regulating the soil carbon balance under semiarid Mediterranean conditions.</p>
Irrigation water source matters: Saline groundwater irrigation lowers date palm root-associated fungal richness and alters their community patterns
<p>Saline groundwater irrigation is predominantly used for date palm (<em>Phoenix dactylifera</em>) cultivation in the arid regions of the Middle East and North Africa without knowing its impact on root-associated fungal (RAF) communities. We investigated the impact of irrigation water sources (freshwater <em>vs.</em> saline groundwater) on date palm RAF diversity, communities, and their assembly processes. Summarily, we show that water chemistry (pH and EC) mainly structures RAF communities, whereas water pH shapes saprotrophic and pathotrophic communities, and the higher abundance of saprotrophic RAF (i.e. <em>Acrocalymma vagum</em>) under saline groundwater irrigation, despite the higher importance of the drift process, indicates their potential role in nutrient cycling and plant growth promotion under saline conditions in arid agroecosystems.</p>
Irrigation_Potentials_Data
<p>The inputs_16-01-2023.zip folder contains data created by the fullWATER.R function of the mrwater library v1.4.45 (https://doi.org/10.5281/zenodo.7572684, https://github.com/pik-piam/mrwater/) for the article "Technical and Economic Irrigation Potentials within land and water boundaries".</p> <p>It is used to create the graphs and tables in outputs_16-01-2023.zip created by the mrwater_CurrentIrrigationPotentials_v3.0.0.Rmd in the public github repository (https://github.com/FelicitasBeier/IrrigationPotentials)</p>
Suspension of Zinc Oxide Nanoparticles (ZnO-NP) as an Intraoperative Wound Irrigation to Prevent Infection After Fracture Fixation
<p>This was underlying data as part of the article "Suspension of Zinc Oxide Nanoparticles (ZnO-NP) as an Intraoperative Wound Irrigation to Prevent Infection After Fracture Fixation"</p>
NASA GISS-E2-1G model runs with and without irrigation
<p>This dataset includes NASA GISS ModelE2.1G model runs with irrigation at the Year 2000 (Irrig_2000), halved irrigation at the Year 2000 (Irrig_2000half), and irrigation at the Year 1850 (Irrig_1850). The climate variables included in this dataset are: daily maximum temperature, equivalent temperature, and minimum relative humidity, and monthly latent heat flux, sensible heat flux, specific humidity, precipitation, incident solar radiation, and total cloud cover.</p>
Model inputs and outputs for: Observation-based sowing dates and cultivars significantly affect yield and irrigation for some crops in the Community Land Model (CLM5)
<p>Files used in initial submission of manuscript to <em>Geoscientific Model Development</em>. Files with names beginning sdates and gdds were used as model inputs for some experiments. File with name beginning hdates was used in postprocessing. ZIP archives are model experimental outputs.</p>
CROVER model output data for paper "Future Warming Decreases the Benefits of Irrigation in Global Food Production"
<p>This data is output data simulated by the CROVER crop-river coupled model for the scientific paper entitled: “Future Warming Decreases the Benefits of Irrigation in Global Food Production”. Simulations are based on 120-year simulations (1981-2100) using 20 climate projections (four Representative Concentration Pathways (RCPs) (2.6, 4.5, 6.0, and 8.5) × five General Circulation Models (GCMs) (GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M)). The dataset includes crop yield of the modeled five crops (maize, rice, soybean, spring wheat, and winter wheat) each for irrigated and rainfed with a spatial resolution of 1.125 degree.</p> <p>The file name consists of a series of identifiers, separated by underscore, according to the following pattern.</p> <p>crover_<gcm>_<rcp>_yield_<crop>_<irrigated|rainfed>.grd</p> <p>crover_<gcm>_<rcp>_yield_<crop>_<irrigated|rainfed>.ctl</p> <p>Format: grads binary (global, 1.125 degree)</p> <p>These files were compressed as a zip file for each GCM and RCP.</p> <p> </p>
Data of soil mineralization rates, carbon and nitrogen pools in a rainfed almond crop and an irrigated mandarin crop derived from Diverfarming project
Data of soil carbon and nitrogen dynamics, auxiliary data and methods metadata from a rainfed almond crop and an irrigated mandarin crop studied in Diverfarming project
Data from: Root responses to elevated CO2, warming, and irrigation in a semi-arid grassland: integrating biomass, length, and life span in a 5‐year field experiment
Open the record for dataset details and reuse information.
Long term irrigation experiment
Open the record for dataset details and reuse information.
Plant biomass: The Effect of Nitrogen Addition and Irrigation in High Diveristy Prairies
Water and nitrogen are two potentially major limiting resources in prairie grasslands of the region, and thus might be added to restored high-diversity grasslands used for biofuel production. In this full-factorial experiment, 36 high-diversity 9 m x 9 m plots that were planted with 32 species in 1994 were randomly assigned to one of six treatments. Treatments were all combination of a water treatment (ambient rainfall or ambient rainfall plus ~ 2 cm/week of irrigation) and of a nitrogen treatment (annual nitrogen addition of 0, 7, or 14 grams of N - as ammonium nitrate - per square meter). Aboveground biomass is harvested each fall in each plot, dried, and weighed. These treatments are determining the importance of both water and N limitation in high-diversity restored prairie grassland, their interactive effects, and the year-to-year variation in yields and treatment effects. They are also determining the potential sustainability of such yields and the effects of the various treatments on plant diversity.
Nematode abundance in soil cores collected beneath mesquite trees in irrigated and non-irrigated plots at the Jornada Basin LTER site, 1988
This data package contains nematode abundance in soils subjected to an irrigation experiment in mesquite coppice dune habitats during the early years of Jornada Basin LTER (LTER-I and II). The purpose of this study was to quantify total nematode abundance, and the abundance of nematode functional groups, in irrigated and non-irrigated (control) soils beneath mesquite plants (Prosopis glandulosa). Soil cores were taken from three depths (0-50cm, 50-100cm, and 100-150cm) then divided into subsamples for nematode investigation. Nematodes were quantified via a semi-automatic elutriator with sugar flotation-sieving and the Baerman Funnel technique. Nematodes were counted and separated into trophic groups: fungal feeders, bacterial feeders, plant parasites, and omnivore-predators. The data collection began in March 1988 and ended in October 1988. This dataset is complete.
Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. at the Kellogg Biological Station, Hickory Corners, MI (2013 to 2017)
Dataset Abstract Data for Data for McGill et.al. 2018. The greenhouse gas cost of agricultural intensification with groundwater irrigation in a Midwest US row cropping system. original data source http://lter.kbs.msu.edu/datasets/176
Irrigation-induced potential evapotranspiration decrease in the Heihe River Basin, Northwest China, as simulated by the WRF model
<p>This dataset is for the plots in the article titled "Irrigation-induced potential evapotranspiration decrease in the Heihe River Basin, Northwest China, as simulated by the WRF model", which was published by Journal of Geophysical Research: Atmospheres. There are totally nine files in the ".mat" format for Matlab. The nine data files are corresponding to nine Figures in the article.</p>
The figures of irrigation effects submitted to the JAMES
<p>The figures in the paper for irrigation effects on water, carbon, and nitrogen effects over the UCPR watershed.</p>
Gross primary production responses to warming, elevated CO2 , and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland
<p>Determining whether the terrestrial biosphere will be a source or sink of carbon (C) under a future climate of elevated CO<sub>2</sub> (eCO<sub>2</sub>) and warming requires accurate quantification of gross primary production (GPP), the largest flux of C in the global C cycle. We evaluated 6 years (2007–2012) of flux‐derived GPP data from the Prairie Heating and CO<sub>2</sub> Enrichment (PHACE) experiment, situated in a grassland in Wyoming, USA. The GPP data were used to calibrate a light response model whose basic formulation has been successfully used in a variety of ecosystems. The model was extended by modeling maximum photosynthetic rate (<i>A</i><sub>max</sub>) and light‐use efficiency (<i>Q</i>) as functions of soil water, air temperature, vapor pressure deficit, vegetation greenness, and nitrogen at current and antecedent (past) timescales. The model fits the observed GPP well (<i>R</i><sup>2</sup> = 0.79), which was confirmed by other model performance checks that compared different variants of the model (e.g. with and without antecedent effects). Stimulation of cumulative 6‐year GPP by warming (29%, <i>P</i> = 0.02) and eCO<sub>2</sub> (26%, <i>P</i> = 0.07) was primarily driven by enhanced C uptake during spring (129%, <i>P</i> = 0.001) and fall (124%, <i>P</i> = 0.001), respectively, which was consistent across years. Antecedent air temperature (Tair<sub>ant</sub>) and vapor pressure deficit (VPD<sub>ant</sub>) effects on <i>A</i><sub>max</sub> (over the past 3–4 days and 1–3 days, respectively) were the most significant predictors of temporal variability in GPP among most treatments. The importance of VPD<sub>ant</sub> suggests that atmospheric drought is important for predicting GPP under current and future climate; we highlight the need for experimental studies to identify the mechanisms underlying such antecedent effects. Finally, posterior estimates of cumulative GPP under control and eCO<sub>2</sub> treatments were tested as a benchmark against 12 terrestrial biosphere models (TBMs). The narrow uncertainties of these data‐driven GPP estimates suggest that they could be useful semi‐independent data streams for validating TBMs.</p>
Maps of reference evapotranspiration for the irrigation project in Brazil
<p>The maximum daily evapotranspiration data set for a project (ETproject) for Brazil. It has a spatial resolution of <strong>30 seconds (~ 1 km²)</strong>. The data set grid is in <strong>GeoTIFF format</strong> and corresponds perfectly to WorldClim. It uses the <strong>geographic coordinate</strong> reference system, with <strong>WGS84 projection (EPSG: 4326)</strong>.</p> <p>The objective study is to estimate and provide evapotranspiration values of monthly reference and the maximum of twelve months, for dimensioning irrigation systems throughout the Brazilian territory. With the meteorological data of two hundred and fifty-nine conventional INMET stations, the daily reference evapotranspiration (ETo) for 15 years was calculated. For each weather station, the data was grouped by month and the ETo for the irrigation project (ETproject) was determined to meet the eighty percent probability of occurrence, following the recommendations of FAO24. In parallel, monthly images of 15 years of ETo were acquired for Brazil, and the climatic variables of WorldClim. Using the ET values of the stations design, it was modeled for the rest of Brazil, using machine learning algorithms and the covariates. After modeling, the following performances were achieved: mean square error of 0.306 mm / d, mean bias error of -0.004 mm / d, mean absolute error of 0.227 mm / d, determination coefficient of 0.938 and efficiency of Nash-Sutcliffe 0.937. ETo values for irrigation projects were similar to several others reported in the literature when compared at a given point. With this research it was possible to determine the monthly and annual ETo for irrigation projects throughout the Brazilian territory.</p> <p>The article has been submitted for publication.</p>
Data from: Effects of dry-season irrigation on leaf physiology and biomass allocation in tropical lianas and trees
Lianas are more abundant in seasonal forests than in wetter forests and are thought to perform better than trees when light is abundant and water is limited. We tested the hypothesis that lianas perform better than trees during seasonal drought using a common garden experiment with 12 taxonomically diverse species (6 liana and 6 tree species) in 12 replicated plots. We irrigated six of the plots during the dry season for four years, while the remaining 6 control plots received only ambient rainfall. In year 5, we measured stem diameters for all individuals and harvested above- and belowground biomass for a subset of individuals to quantify absolute growth and biomass allocation to roots, stems, and leaves, as well as total root length and maximum rooting depth. We also measured photosynthesis, intrinsic water use efficiency (iWUE), pre-dawn and midday water potential, and a set of functional and hydraulic traits. During the peak of the dry season, lianas in control plots had 54% higher predawn leaf water potentials (ΨPD), and 45% higher photosynthetic rates than trees in control plots. By contrast, during the peak of the wet season, these physiological differences between lianas and trees become less pronounced and, in some cases, even disappeared. Trees had higher SLA than lianas; however, no other functional trait differed between growth forms. Trees responded to the irrigation treatment with 15% larger diameters and 119% greater biomass than trees in control plots. Liana growth, however, did not respond to irrigation; liana diameter and biomass were similar in control and irrigation plots, suggesting that lianas were far less limited by soil moisture than were trees. Contrary to previous hypotheses, lianas did not have deeper roots than trees; however, lianas had longer roots per stem diameter than did trees. Our results support the hypothesis that lianas perform better and experience less physiological stress than trees during seasonal drought, suggesting clear differences between growth forms in response to altered rainfall regimes. Ultimately, better dry-season performance may explain why liana abundance peaks in seasonal forests compared to trees, which peak in abundance in less seasonal, wetter forests.
Microclimate Effects and Irrigation Water Requirement of Mesic, Oasis, and Xeric Landscapes
<p>This database provides the model input parameters and simulation files for Mesic, Oasis, and Xeric landscapes. </p>
Integrated irrigation and nitrogen optimization is a resource-efficient adaptation strategy for US maize and soybean production
<p>These datasets were utilized to generate the figures and tables presented in the paper '<strong>Integrated irrigation and nitrogen optimization is a resource-efficient adaptation strategy for US maize and soybean production</strong><strong>'</strong>:</p> <p>(1) Fig.1.html: Code for generating Fig. 1.<br>(2) Fig.2.xlsx: Data for Fig. 2.<br>(3) Fig.3.xlsx: Data for Fig. 3.<br>(4) Fig.4.xlsx: Data for Fig. 4.<br>(5) Fig.5.xlsx: Data for Fig. 5.</p> <p>(6) Other .html files are Python code corresponding to different tables and figures.</p>
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International Brain Laboratory public data
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OpenNeuro
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