From June to September 2012, the thermal infrared image data of corn field and hot pepper field of No. 15 super station in the middle reaches of Heihe River were taken about 7 times a day, every two hours. The thermal image is processed by the SmartView software of the thermal imager, the vegetation temperature is distinguished, and the transpiration is calculated by the three temperature model.
QIU Guoyu
This data set is the surface evapotranspiration data of Four Typical Shrub Communities in hulugou watershed. The observation period is from July 16 to August 23, 2013, which is the daily scale data. The data content includes precipitation data, evaporation and infiltration data observed by lysimeter. The data set can be used to analyze the evapotranspiration data of alpine shrub and forest. Data quality information: data quality is high, daily evapotranspiration data observation is complete. Data source description: a small lysimeter with an inner diameter of 25 cm and a depth of 30 cm was selected for evapotranspiration under the canopy. Two lysimeters were set up in each sample plot of evapotranspiration under the Bush, and one lysimeter was set up for each kind of Bush in the transplanting experiment. The undisturbed undisturbed soil column with the same height as the barrel shall be placed in the inner barrel during the layout, and the outer barrel shall be buried in the soil. During the embedding, the outer barrel shall be 0.5-1.0 cm higher than the ground, and the outer edge of the inner barrel shall be designed with a 2.0 cm wide rain shield to prevent the surface runoff from entering the lysimeter. Lysimeter was set up in the nearby meteorological station to measure the evapotranspiration of grassland, and a small evapotranspiration meter with an inner diameter of 25 cm and a depth of 30 cm was set up in the Picea koraiensis forest sample plot to measure the evaporation under the forest. All lysimeters shall be weighed on time at 20:00 every day (electronic balance sensing capacity is 1.0 g, which is equivalent to 0.013 mm evaporation). During observation, windproof treatment shall be done to ensure the accuracy of measurement. Data processing method: evapotranspiration is mainly calculated by mass conservation in lysimeter method. According to lysimeter design principle, evapotranspiration is mainly determined by mass difference in two consecutive days. Because it is weighed every day, it is calculated by water balance.
SONG Yaoxuan, LIU Zhangwen
From May to October 2012, the monthly Lai vegetation index product data of 30 meters in Heihe River Basin was retrieved by using the environmental satellite CCD image, and the inversion method was based on the look-up table method and go + Hapke model. In the inversion process, Nelson parameters are determined according to vegetation types.
FAN Wenjie
The leaf epidermis micromorphological structure of the constructive species in the arid area of the middle and lower reaches of Heihe River Basin. The plant material number is consistent with the number in the sampling table. Refer to the sampling table number to determine the material and its distribution position.
LIU Yubing
The ground sample data was collected by LAI-2000 canopy analyzer, and the collection area was located in Dayekou, Wuxing Village (2012) and other areas. The main measure of vegetation is corn. The LAI value of the corn was obtained using the LAI2000, and the observation was repeated twice in a pattern of “one up and four down”. The leaf area of each leaf of the corn plant was obtained using CD202, and a total of three corns were collected.
FAN Wenjie
The algorithm firstly adopts the canopy BRDF model and represents the canopy reflectivity as a function of a series of parameters such as LAI/FAPAR, wavelength, reflectivity of soil and leaves, aggregation index, incidence and observation Angle.The parameter table is established for several key parameters as the input of inversion.Then input the pre-processed surface reflectance data and land cover data, and invert LAI products by look-up table (LUT) method.See references for detailed algorithms. Image format: tif Image size: about 1M per scene Time range: 2000-2012 Temporal resolution: 8 days Spatial resolution: 1km
FAN Wenjie
This is the morphological and structural characteristics of the constructive plants’ chloroplasts in arid areas of the middle-lower reaches of Heihe River Basin. The material number is the same as in the sampling table. The chloroplast morphology and structure of 60 dominant plants were studied by transmission electron microscopy (TEM). The chloroplast morphology, thylakoid grana lamella and matrix morphology, starch content and the morphological characteristics of osmiophilic granules can all be reflected.
LIU Yubing
The dataset is Lai data of ground sample points in Heihe River Basin, collected by LAI-2000 canopy analyzer. The collection area is located in Zhangye rural demonstration base, Ejina Banner, Jiuquan Satellite Center (2011) and other areas. The main measured vegetation is corn. The Lai value of maize was obtained by using lai2000, and the observation was repeated twice in the mode of one up four down. Cd202 was used to obtain the leaf area of each leaf of maize plant, and three maize plants were collected.
FAN Wenjie
The leaf cross-sectional structure of constructive species in arid area of the middle and lower reaches of Heihe River Basin. The material number is consistent with the sampling table. Refer to the sampling table number to determine the material and its distribution position. A semi thin section of 65 dominant plants. The mesophyll structure of C3 and C4 plants, the characteristics of palisade tissue and sponge tissue, as well as the special structure including crystalloid cells can be reflected.
LIU Yubing
Leaf area index, also known as leaf area coefficient, refers to the multiple of the total area of plant leaves in the land area per unit land area. Leaf area index is an important structural parameter of ecosystem, which is used to reflect the number of plant leaves, the change of canopy structure, the life activity of plant community and its environmental effect, to provide structured quantitative information for the description of material and energy exchange on the canopy surface, and to balance the energy of carbon accumulation, vegetation productivity and the interaction between soil, plant and atmosphere, Vegetation remote sensing plays an important role. Plant canopy imager CI - 110 was used to measure the alpine shrub and spruce leaf area index in hulugou watershed. The measurement period is July 22, 2014. It includes the main shrub types and Picea crassifolia forest in hulugou watershed. The data set mainly includes the original data of CI-110 measurement, including image and leaf area analysis image.
LIU Zhangwen, SONG Yaoxuan
The algorithm firstly adopts the canopy BRDF model and represents the canopy reflectivity as a function of a series of parameters such as LAI/FAPAR, wavelength, reflectivity of soil and leaves, aggregation index, incidence and observation Angle.The parameter table is established for several key parameters as the input of inversion.Then input the pre-processed surface reflectance data and land cover data, and use look-up table (LUT) inversion to obtain FAPAR products.See references for detailed algorithms. Image format: tif Image size: about 1M per scene Time range: 2000-2012 Temporal resolution: 8 days Spatial resolution: 1km
FAN Wenjie
1. Data overview The data set of the base camp integrated environmental observation system is a set of ENVIS (IMKO, Germany) which was installed at the base camp observation point by qilian station.It is stored automatically by ENVIS data mining system. 2. Data content This data set is the scale data from January 1, 2012 to December 31, 2012.Including air temperature 1.5m, humidity 1.5m, air temperature 2.5m, humidity 2.5m, soil moisture 0cm, precipitation, wind speed 1.5m, wind speed 2.5m, wind direction 1.5m, geothermal flux 5cm, total radiation, surface temperature, ground temperature 20cm, ground temperature 40cm, ground temperature 60cm, ground temperature 80cm, ground temperature 120cm, ground temperature 160cm, CO2, air pressure. 3. Space and time scope Geographical coordinates: longitude: 99° 53’e;Latitude: 38°16 'N;Height: 2980.2 m
SI Jianhua
A small lysimeter was made by ourselves, which simulated the natural conditions and selected typical desert plants as the object to study the water consumption and its law. Repeat 3 times for each plant. In 2011, the experiment of physiological water demand and water consumption of desert plants was carried out with the soil water content kept at (50 ± 10)% of the field water capacity; in 2012, the experiment of physiological water demand and water consumption was carried out with the soil water content kept at (20 ± 5)% of the field water capacity under stress.
SU Peixi
In the middle of July and August 2012, mass photosynthesis was determined and the plant species was caragana korshinskii. The mass photosynthesis measurement system is composed of li-8100 closed-circuit automatic soil carbon flux measurement system (li-cor, USA) and an assimilation box designed and manufactured by Beijing liaotai technology co., LTD. Li-8100 is an instrument for soil carbon flux measurement produced by li-cor, USA, which USES an infrared gas analyzer to measure CO2 and H2O concentrations.The length, width and height of the assimilation box are all 50cm.The assimilation box is controlled by li-8100, and the instrument can operate automatically after the measurement parameters are set. The photosynthetic rate of population was calculated according to the following formula: CAP (Canopy growth Rate) is the Photosynthetic Rate of the population (mol CO2•m -- 2•s -- 1).A is the total leaf area (m2) of the plant canopy;VA is the total volume (m3) of the population photosynthesis measurement system, which is the product of the height of the assimilation box from the ground (the distance between the upper edge and the inner ground after the special base is placed), the soil area (0.25 m2) and the sum of the volume of the assimilation box (0.125 m3).Is the change rate of CO2 measured by assimilation chamber (mol CO2•mol -- 1•s -- 1) in the process of population photosynthesis measurement;Is the CO2 change rate (mol CO2•mol -- 1•s -- 1) measured in a 20 cm measuring chamber during the soil respiration measurement process;P is atmospheric pressure (Pa), T is the air temperature in the assimilation chamber (℃), and R is the gas constant (8.314 Pa•m3•mol-1• k-1).N is the conversion coefficient, which means the change rate of CO2 caused by soil respiration in the soil area (SA) covered by the assimilation box and in the total volume (VA) of the population photosynthesis measurement system is converted from the measurement in the 20cm measurement chamber, and calculated according to the following formula: SA is assimilation box cover soil area, 0.25 m2, SC is 20 cm soil area of the measuring chamber cover (0.03 m2), VC is plant roots and soil respiration measurement system of the total volume (m3), to 20 cm measurement chamber high from the ground (after ring on measuring the soil in place along with the internal distance) on the ground and soil area is the product of the (SC) and 20 cm measurement chamber volume (4.82 x 10-3 m3) combined.
SU Peixi
SPAC system is a comprehensive platform for observation of plant transpiration water consumption and environmental factors. In this project, a set of SPAC system is set up in the Alxa Desert eco hydrological experimental study. The main observation data include temperature, relative humidity, precipitation, photosynthetic effective radiation, etc. the sampling frequency is one hour. This data provides basic data support for the study of plant transpiration water environmental response mechanism.
SI Jianhua
This data set is the precipitation characteristic data in the precipitation interception data of alpine shrub in hulugou basin in the upper reaches of Heihe River in 2012. The observation date is from October 2, 2011 to September 24, 2012. The observation contents include precipitation, precipitation duration, precipitation intensity and frequency of throughfall. The observation data are recorded by self recording rain gauge and artificial rain gauge.
SONG Yaoxuan, LIU Zhangwen
In the growing season of 2012, four typical shrub communities observed precipitation stem stream and penetrating rainfall during the experiment period.Data content: test date;Stem flow rate;Penetration rainfall, interception. Method of observation: water penetration was measured using a circular iron vessel with a diameter of 15 cm and a height of 10 cm.Since jinrumei, seabuckthorn and jinjijicinus shrub could not be observed on a single plant, after the canopy canopy density of the sample plots was determined, 9 water receivers were placed in each sample plot, so that there were water receivers under different canopy closures.This method of observing rain penetration allows for better collection of rain penetration from different parts of the underbrush.Due to the difficulty of observation and the lack of herbaceous vegetation, the interception of herbaceous under shrub was neglected.Takashima is centered on the stem, which is near the stem. One is placed at the edge of the crown and one at the middle of the crown and spoke. The Angle between each 3 containers is 120°.Six of each shrub were selected for stem flow observation.A single shrub was measured on the lower stems of all branches, and the stem flow of the trunk of the cluster shrub was measured by standard branch method, that is, the basal diameter of each branch of the selected shrub was measured.Under brush all branch stem, the use of polyethylene plastic hose cut open, card on the thickets stems directly, with a plastic adhesive tape and glass, the plastic tube directly connected to the trunk stem flow collection bottle, bottle thickness and plastic pipe, avoid rain and penetrate the rain into the collection bottle, before use after artificial experiments can precisely collect trunk stem flow.In order to reduce the error caused by evaporation in the measurement process, the penetrating rainfall and the flow of the trunk and stem were measured in time after the rain, such as the rain at night, and the samples were taken early in the morning on the second day. Data processing: the penetration rainfall is multiplied by 1.78 (conversion coefficient of different diameters of 20 cm and 15 cm) and replaced by the corresponding penetration rainfall (mm) at standard 20 cm.The measured water volume of each trunk flow collection bottle was divided by the projection area of the standard branch to obtain the trunk flow rate of the branch. The trunk flow rate of the standard branch was multiplied by the number of branches of the whole shrub to obtain the trunk flow rate of the whole shrub.According to the principle of water balance, the redistribution process of rainfall by shrub can be divided into three parts: interception, trunk flow and penetrating rainfall: IC = P - SF - TF Where, P is the rainfall outside the forest;TF is the penetrating rainfall;SF is the flow rate of the trunk.IC is the interception amount of the irrigation layer.According to the measured data of the stem flow through the rain trunk, the interception was obtained by using the above equation.
SONG Yaoxuan, LIU Zhangwen
Field survey data of ecological vegetation sample in ejin delta during the project implementation period. A sample of ecological vegetation survey near 31 groundwater salinity observation points in ejin delta.The main investigation items include: plant species, plant structure, number, height, base diameter, crown width, coverage, frequency, etc.Time: 2010 and 2011 (july-august).
YU Jingjie
The data set is the physiological and ecological parameters of the dominant species of each ecosystem in Heihe River Basin. According to the requirements of tesim model, the data set divides Heihe River basin into seven ecosystems: deciduous broad-leaved forest ecosystem (BRD), evergreen coniferous forest ecosystem (CNF), agricultural field ecosystem (CRP), desert ecosystem (DST), meadow grassland ecosystem (MDS) Shrubbery ecosystem (SHB) and grassland ecosystem (STP). Some of the data in this data set are based on the measured data, some are obtained by reference documents, but after verification, they are applied to the Heihe River Basin. For the data in this data, each parameter of each ecosystem has three values, which are the value in the model, the minimum value and the maximum value of this parameter. The data can provide input parameters for the ecological process model, and the data set is still in further optimization.
PENG Hongchun
It is of great significance to carry out the quantitative study on the evapotranspiration of forest vegetation in Qilian Mountain, to correctly understand the hydrological function of the forest ecosystem in Qilian Mountain, to understand the water cycle process and to develop the hydrological model of the watershed, and to make a reasonable forest management plan. Forest evapotranspiration is mainly composed of soil surface evaporation, vegetation transpiration and canopy interception water evaporation. Traditional evapotranspiration research methods can be divided into two categories: actual measurement and estimation. The actual measurement methods include hydrology method, micro meteorology method and plant physiology method; the estimation method is to calculate Evapotranspiration by model, mainly including analysis model and empirical model. However, none of these methods can effectively distinguish forest transpiration from evaporation. The trunk liquid flow method can effectively calculate the transpiration of forest land by measuring the transpiration water consumption of trees. The trunk liquid flow method can effectively calculate the transpiration of forest land by measuring the transpiration water consumption of trees. The transpiration water consumption of Picea crassifolia forest was measured by thermal pulse technique, and the scale was extended to the stand scale to indicate the transpiration water consumption of Picea crassifolia forest.
CHANG Xuexiang
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