According to the global soil map. Net standard, the 0-1m soil depth is divided into 5 layers: 0-5cm, 5-15cm, 15-30cm, 30-60cm and 60-100cm. According to the principle of soil landscape model, the spatial distribution data products of soil organic carbon content in different layers are produced by using the digital soil mapping method. The source data of this data set comes from the soil profile data integrated by the major research plan integration project of Heihe River Basin (soil data integration and soil information product generation of Heihe River Basin, 91325301). Scope: Heihe River Basin; Projection: WGS · 1984 · Albers; Spatial resolution: 100M; Data format: TIFF; Dataset content: hh_soc_layer1.tif: 0-5cm soil organic carbon content; hh_soc_layer2.tif: 5-15cm soil organic carbon content; hh_soc_layer3.tif: 15-30cm soil organic carbon content; hh_soc_layer4.tif: 30-60cm soil organic carbon content; hh_soc_layer5.tif: 60-100cm soil organic carbon content;
The source data of this data set comes from the 1:1 million soil map of China (Shi et al., 2004) and 8595 soil sections in the second Soil Census. The polygonal connection method is used to connect the soil profile with the soil map to obtain the soil sand, silt and clay content map. The distance between the profile and the map spot, the number of soil profiles and the information of soil classification are taken into account. Please refer to related papers and web pages for specific instructions. Data characteristics Projection: GCS_Krasovsky_1940 Coverage: Heihe River Basin Resolution: 0.00833 degrees (about one kilometer) Data format: FLT, tiff Value range: 0% - 100% Document description Floating point grid files include: Sand1.flt, clay1.flt - content of sand and clay in the surface layer (0-30cm). Sand2.flt, clay2.flt - sand and clay content in the bottom layer (30-100cm). Psd.hdr – header file: Ncols - number of columns Nrows - number of rows Xllcorner - lower left latitude Yllcorner - lower left longitude Cellsize - cell size NoData_Value – null byteorder - LSBFIRST, Least Significant Bit First TIFF grid files include: Sand 1.tif, clay 1.tif - the content of sand and clay in the surface layer (0-30cm). Sand 2.tif, clay 2.tif - sand and clay content in the bottom layer (30-100cm). For data details, please refer to: http://globalchange.bnu.edu.cn/research/soil
This data is based on the 1:50,000 and 1:100,000 base maps of hexi and ejin by lanzhou institute of desert research, Chinese academy of sciences, and compiled by supplementary investigation.(1) land type map of zhangye region of gansu province and alashan right banner of Inner Mongolia (Chen longheng, 1:250,000);(2) soil map of beidahe river basin (li fuxing, Yang constituent system, 1:100,000);(3) land type map of ejin banner delta in Inner Mongolia (ejin banner delta research team, lanzhou desert research institute, Chinese academy of sciences, 1:250,000).The drawing USES the basic map data, the field route investigation mainly, the aerial photograph, the guardian photograph interpretation combination method.This chart by li fuxing, qiu baoming compilation, zhang ziyu participated in the work;Drawing for peng shilong, wang xizhang, guo yingsheng.The soil classification research group of nanjing institute of soil research, Chinese academy of sciences and li jin provided the classification and mapping specifications.According to the Chinese soil classification system and the field conditions, the soil in heihe river basin is divided into 8 soil classes, 12 subclasses, 23 soil classes and 60 subclasses.Its purpose is to reflect the main soil types, combinations and distribution rules of the region, and reflect the regional characteristics of the soil, comprehensively demonstrate the generalization of soil resources, and provide the basic scientific basis for the estimation and evaluation of the quantity and quality of land resources, the rational utilization of land resources and the rational redistribution of water resources basins.See attachment for soil data type attributes.
1. data description Soil temperature monitoring in typical soil profile of hongnigou is divided into seven layers, with depth distribution of 20cm, 40cm, 60cm, 80cm, 120cm, 160cm and 230cm.The frequency of observation is 1 time /60 minutes.The time range of observation data is from August 25, 2013 to May 1, 2014. 2. Sampling location The soil temperature monitoring point of the typical soil profile in the small basin of cucurbitou was set in the middle and lower part of the red mud ditch, and its geographical coordinates were 99 ° 52 '25.98 "E, 38 ° 15' 36.11" N. 3. Test method Soil Temperature was observed using HOBO Pendant® Temperature/Light Data Logger 64k-ua-002-64 Temperature recorder.
According to the global soil map. Net standard, the 0-1m soil depth is divided into 5 layers: 0-5cm, 5-15cm, 15-30cm, 30-60cm and 60-100cm. According to the principle of soil landscape model, the spatial distribution data products of soil silt content in different layers are made by using the digital soil mapping method. The American system classification is used as the standard of soil particle classification. The source data of this data set comes from the soil profile data integrated by the major research plan integration project of Heihe River Basin (soil data integration and soil information product generation of Heihe River Basin, 91325301). Scope: Heihe River Basin; Projection: WGS · 1984 · Albers; Spatial resolution: 100M; Data format: TIFF; Dataset content: hh_silt_layer1.tif: 0-5cm soil silt content; hh_silt_layer2.tif: 5-15cm soil silt content; hh_silt_layer3.tif: 15-30cm soil silt content; hh_silt_layer4.tif: 30-60cm soil silt content; hh_silt_layer5.tif：60-100cm soil silt content;
The data comes from the Harmonized World Soil Database (HWSD) constructed by the Food and Agriculture Organization of the United Nations (FAO) and International Institute for Applied System Analysis in Vienna (IIASA), which released version 1.1 on March 26, 2009. The data resolution is 1 km. The data source in China is 1: 1 million soil data. The soil classification system used is mainly FAO-90. The main fields of the soil property sheet include: SU_SYM90 (name of soil in FAO90 soil classification system) SU_SYM85 (FAO85 classification) T_TEXTURE (top soil texture) DRAINAGE (19.5); ROOTS: String (depth classification to the bottom of the soil with obstacles); SWR: String (characteristics of soil water content); ADD_PROP: Real (specific soil type in the soil unit related to agricultural use); T_GRAVEL: Real (gravel volume percentage); T_SAND: Real (sand content); T_SILT: Real (silt content); T_CLAY: Real (clay content); T_USDA_TEX: Real (USDA Soil Texture Classification); T_REF_BULK: Real (soil bulk density); T_OC: Real (organic carbon content); T_PH_H2O: Real (pH) T_CEC_CLAY: Real (cation exchange capacity of the sticky layer soil); T_CEC_SOIL: Real (soil cation exchange capacity) T_BS: Real (basic saturation); T_TEB: Real (exchangeable base); T_CACO3: Real (carbonate or lime content) T_CASO4: Real (sulfate content); T_ESP: Real (exchangeable sodium salt); T_ECE: Real (conductivity). The attribute field at the beginning of T_ indicates the upper soil attribute (0-30 cm), and the attribute field at the beginning of S_ indicates the lower layer soil attribute (30-100 cm) (FAO 2009). This data provides model input parameters for Earth system modelers, and in agricultural perspective, it can be used to study eco-agricultural divisions, food security, and climate change.
This data is soil evapotranspiration data of subalpine grassland in tianlaochi small watershed of Qilian Mountain. Lysimeter was used to observe soil evapotranspiration and provide basic data for the development of watershed evapotranspiration model. Six repeated experiments were conducted to observe the soil evapotranspiration of subalpine grassland during the whole growing season. At 8:00 and 20:00 every day, use an electronic scale with an accuracy of 1G to weigh the inner barrel. In case of rainfall, observe whether there is leakage in the leakage barrel. If there is leakage, measure the leakage water in the leakage barrel at the same time. Observation instrument: 1) standard 20 cm diameter rain gauge. 2) Lysimeter was made by ourselves (diameter 30.5cm, barrel height 28.5). 3) Electronic balance (accuracy 1g) is used to observe the weight change of lysimeter.
Soil evaporation in forest land is a process in which water in soil enters the atmosphere from the soil surface through rising and vaporizing. Soil evaporation affects the change of soil water content, which is an important part of hydrological cycle. The data were observed by the mini lysmeter evaporation tube, which was designed to provide data support for the study of water vertical exchange rule of Picea crassifolia forest.
Soil moisture, also known as soil moisture. It's the water that stays in the pores of the soil. The main source of soil water in Picea crassifolia forest is atmospheric precipitation, which is the only source of water absorbed by Picea crassifolia to maintain its growth. This data is the soil moisture data of Picea crassifolia forest measured by the soil moisture intelligent neutron instrument.
1. Data overview The soil temperature monitoring point of the typical soil profile in the small basin of cucurbitou was set in the middle and lower part of the red mud ditch, and its geographical coordinates were 99 ° 52 '25.3 "E, 38 ° 15' 37.97" N. Soil Temperature was observed using HOBO Pendant® Temperature/Light Data Logger 64k-ua-002-64 Temperature recorder. 2. data content Soil temperature monitoring in typical soil profile of hongnigou is divided into seven layers, with depth distribution of 20cm, 40cm, 60cm, 80cm, 120cm, 160cm and 200cm.The frequency of observation is 1 time /15 minutes.The time range of observation data is from September 7, 2012 to May 6, 2013.
Contact SupportNorthwest Institute of Eco-Environment and Resources, CAS 0931-4967287 firstname.lastname@example.org
LinksNational Tibetan Plateau Data Center