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- Data for: The synchrony of cover crop decomposition, enzyme activity, and nitrogen availability in a corn agroecosystemData for cover crop soil inorganic nitrogen availability study submitted for publication in December 2018 to the Journal of Soil and Tillage Research. Data are enzyme activity and inorganic nitrogen availability in cover cropped corn agroecosystems at the Purdue University Agriculture Center for Research and Education (ACRE) (2016, 2017).
- Dataset
- Data for: GIS based water balance components estimation in northern Ethiopia catchmentThe soil sampling units location was included.
- Dataset
- Data for: Maize straw mulching combined with no-tillage relieve drought stress during tillering improves grain yield and water-nitrogen use efficiency in a dry land wheat-maize rotation systemIn this data set, ALL of the data associated with the manuscript "Maize straw mulching combined with no-tillage relieve drought stress during tillering improves grain yield and water-nitrogen use efficiency in a dry land wheat-maize rotation system" are provided in a format of *opju, and you will be able to download these data and open it using the originlab 9.0 software after finial decision made by editor. If you have any interest, please do not hesitate to contact me. email. fangao20056@126.com
- Dataset
- Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.
- Dataset
- Data from: Tillage and cropping effects on soil quality indicators in the northern Great PlainsCropping systems in the northern Great Plains must possess a resilient soil resource to be sustainable. Detecting the effects of management on soil properties in this region is challenging, frequently requiring the use of long-term experiments. A study was conducted to quantify the interactive effects of tillage, crop sequence, and cropping intensity on soil properties for two long-term cropping system experiments in the northern Great Plains. The experiments were established in 1984 and 1993 on the Area IV Soil Conservation Districts Cooperative Research Farm near Mandan, North Dakota USA. Soil physical, chemical, and biological properties considered as indicators of soil quality were evaluated in spring 2001 in both experiments. Samples were collected from the 0-30 cm depth in increments of 0-7.5, 7.5-15, and 15-30 cm using a step-down probe. As a contrast to treatments in the 1984 experiment, samples were collected from a nearby moderately grazed pasture with the same soil type. Soil samples were evaluated for soil bulk density, electrical conductivity, soil pH, soil nitrate-nitrogen, soil organic carbon, total soil nitrogen, particulate organic matter carbon and nitrogen, potentially mineralizable nitrogen, and microbial biomass carbon and nitrogen. Supplemental soil assessments of water-stable aggregation and infiltration rate were conducted in the 1984 experiment, while stover biomass production in the 1993 experiment complemented soils data. Laboratory methods followed accepted protocols. Particulate organic matter was measured with two methods. For the 1984 experiment, material retained on a 0.053 mm sieve was collected and analyzed by dry combustion for carbon and nitrogen content, while a weight loss-on-ignition method was used for 0.053–0.5 and 0.5–2.0 mm size fractions for the 1993 experiment. Data may be used to better understand soil property responses to crop rotation and tillage practices under rainfed conditions within a semiarid continental climate. Applicable USDA soil types include Temvik, Wilton, Grassna, Linton, Mandan, and Williams.
- Dataset
- Soil, crop, and weed communities as affected by soil erosion and topsoil replacement in a Mollisol landform (a six-year soil-landscape rehabilitation study)These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.
- Dataset
- Data from: Tillage and cropping effects on soil quality indicators in the northern Great PlainsCropping systems in the northern Great Plains must possess a resilient soil resource to be sustainable. Detecting the effects of management on soil properties in this region is challenging, frequently requiring the use of long-term experiments. A study was conducted to quantify the interactive effects of tillage, crop sequence, and cropping intensity on soil properties for two long-term cropping system experiments in the northern Great Plains. The experiments were established in 1984 and 1993 on the Area IV Soil Conservation Districts Cooperative Research Farm near Mandan, North Dakota USA. Soil physical, chemical, and biological properties considered as indicators of soil quality were evaluated in spring 2001 in both experiments. Samples were collected from the 0-30 cm depth in increments of 0-7.5, 7.5-15, and 15-30 cm using a step-down probe. As a contrast to treatments in the 1984 experiment, samples were collected from a nearby moderately grazed pasture with the same soil type. Soil samples were evaluated for soil bulk density, electrical conductivity, soil pH, soil nitrate-nitrogen, soil organic carbon, total soil nitrogen, particulate organic matter carbon and nitrogen, potentially mineralizable nitrogen, and microbial biomass carbon and nitrogen. Supplemental soil assessments of water-stable aggregation and infiltration rate were conducted in the 1984 experiment, while stover biomass production in the 1993 experiment complemented soils data. Laboratory methods followed accepted protocols. Particulate organic matter was measured with two methods. For the 1984 experiment, material retained on a 0.053 mm sieve was collected and analyzed by dry combustion for carbon and nitrogen content, while a weight loss-on-ignition method was used for 0.053–0.5 and 0.5–2.0 mm size fractions for the 1993 experiment. Data may be used to better understand soil property responses to crop rotation and tillage practices under rainfed conditions within a semiarid continental climate. Applicable USDA soil types include Temvik, Wilton, Grassna, Linton, Mandan, and Williams.
- Dataset
- Replication Data for: Comparison of equivalent soil mass approaches to estimate soil organic carbon stocks under long-term tillageThe primary objective was to quantify and compare SOC concentration and stock in two contrasting tillage systems (NT with ZT system: NT/ZT; conventional, autumn plow tillage: CT) using FD and three ESM approaches (ESMcubic_spline, ESMlinear, and ESMnon_model).
- Dataset
- 2019 Hyperspectral Remote Sensing Inversion Dataset of Organic Matter Content in Surface Soil of Cultivated Land at 30 m Resolution in 7 Counties and Districts of Baiquan, Mingshui, and Kedong in Heilongjiang ProvinceThis data set includes the remote sensing inversion data set of surface soil texture with 10 m resolution in Suihua City, Heilongjiang Province in 2020. Through remote sensing inversion, it reflects the surface soil texture and provides data support for soil remediation, soil fertility evaluation and other aspects.
- Dataset
- Data for "Modelling soil carbon stocks following reduced tillage intensity: a framework to estimate decomposition rate constant modifiers for RothC-26.3, demonstrated in north-west Europe"Dataset of paired observations of conventional tillage (CT) with no tillage (NT) and reduced tillage (RT) from studies in temperate oceanic regions of Western Europe, extracted from a recent systematic review (Jordon et al. preprint, see DOI below). R code of modelling framework to estimate tillage rate modifiers (TRM) for simulating adoption of RT and NT using RothC-26.3, and meta-estimates of TRM across studies.
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