Datasets of key technologies and demonstration for vegetation restoration and reconstruction in desertification land of Amu darya valley(2019)

The Northwest Institute of Ec-Environment and Resources of the Chinese Academy of Sciences organized a team of 9 and 5 people to carry out the research on "key technologies and demonstration for vegetation restoration and reconstruction in desertification land " from the middle and lower reaches of the Amu Darya River basin to the surrounding area of the Aral Sea from April 3, 2019 to April 30, 2019 and from September 16 to 28, 2019, respectively, and investigated the middle and lower reaches of the Amu Darya River basin to the surrounding area of the Aral Sea The site includes Tashkent, Samarkand, Navoi, Bukhara, Nukus, muinak, etc., with a total length of more than 4000 kilometers. It mainly conducts UAV low altitude remote sensing, plant community investigation, soil type, climate and soil moisture status comprehensive investigation in different degree of degradation desertification areas, and samples of plant, soil are taken. A total of 30 sample plots were investigated, and data sets of desertification degree and distribution characteristics, vegetation type and distribution, soil type and physical and chemical properties were obtained.

0 2020-05-27

Survey data of soil salinity and organic matter in Ejina delta (August 2011)

Soil survey data corresponding to the ejin delta and the ecological vegetation sample during the project implementation period. Soil profile sampling corresponding to the ecological vegetation survey in ejin delta (5), 20 cm stratified sampling.Investigation items included: soil salinity, soil organic matter, C, N, P, etc., time: August 2011.

0 2020-03-10

Dataset of above and underground biomass and soil carbon in Pan-TPE from 2015 to 2017

Based on the field survey, the aboveground and underground biomass of vegetation, and soil carbon and nitrogen contents in Nagqu, in the north of Zoige, eastern of Tibet plateau and the wind vacanofrom 2015 to 2017 were collected, and the data were collated and preliminarily analyzed. Dataset consists both of the aboveground and underground biomass of vegetation and soil carbon and nitrogen contents in different elevation gradient (subalpine meadow, alpine meadow, alpine shrub meadow), different moisture gradient (wetland, degraded swamp, swamp meadow, wet meadow, dry meadow and degraded meadow) and the different desertification degree (mild desertification, moderate desertification, severe desertification, desertification). The differences and trends of vegetation biomass and soil carbon and nitrogen contents under different gradients were analyzed. This dataset provides a theoretical basis for understanding and rational utilization of grassland resources, and also provides strong support for exploring the prediction of alpine grassland productivity under the global climate change.

0 2019-09-14

Observation dataset of forest ecosystems on the eastern margin of the Tibet Plateau (2005-2008)

These are the meteorological, soil, vegetation and other data observed by the Gongga Mountain Forest Ecosystem Test Station on the eastern margin of the Tibetan plateau, primarily from 2005 to 2008. Meteorological data: temperature, air pressure, relative humidity, dew point temperature, water pressure, ground temperature, soil temperature (5 cm, 10 cm, 20 cm, and 40 cm), 10-minute average wind, 10-minute maximum wind speed, precipitation, total radiation, net radiation. Tree layer biological observation data: diameter at breast height, tree height, life form Shrub layer biological observation data: tree number, height, coverage, life form, aboveground biomass, underground biomass Herb layer biological observation data: tree (strain) number, average height, coverage, life type, aboveground biomass, underground biomass Leaf area index: tree layer leaf area index, shrub layer leaf area index, grass layer leaf area index Soil organic matter and nutrients: soil organic matter, total nitrogen, total phosphorus, total potassium, nitrate nitrogen, ammonium nitrogen, available nitrogen (alkali-hydrolysable nitrogen), available phosphorus, available potassium, slowly available potassium, PH value in aqueous solution Soil water content: depth, water content

0 2019-09-13

A China dataset of soil properties for land surface modeling

The source data of this data set are 1:1 million Chinese soil maps and 8,595 soil profiles from the second soil census.The data include section depth, soil thickness, sand, silt, clay, gravel, bulk density, porosity, soil structure, soil color, pH value, organic matter, nitrogen, phosphorus, potassium, exchangeable cation amount, exchangeable hydrogen, aluminum, calcium, magnesium, potassium, sodium ion and root amount.The dataset also provides data quality control information. The data is in raster format with a spatial resolution of 30 arc seconds.To facilitate the use of CLM model, soil data is divided into 8 layers, with the maximum depth of 2.3 meters (i.e. 0- 0.045, 0.045- 0.091, 0.091- 0.166, 0.166- 0.289, 0.289- 0.493, 0.493- 0.829, 0.829- 1.383 and 1.383- 2.296 m) Data file description: 1 Soil profile depth PDEP.nc 2 Soil layer depth "LDEP.nc LNUM.nc" 3 pH Value (H2O) PH.nc 4 Soil Organic Matter SOM.nc 5 Total N TN.nc 6 Total P TP.nc 7 Total K TK.nc 8 Alkali-hydrolysable N AN.nc 9 Available P AP.nc 10 Available K AK.nc 11 Cation Exchange Capacity (CEC) CEC.nc 12 Exchangeable H+ H.nc 13 Exchangeable Al3+ AL.nc 14 Exchangeable Ca2+ CA.nc 15 Exchangeable Mg2+ MG.nc 16 Exchangeable K+ K.nc 17 Exchangeable Na+ NA.nc 18 Particle-Size Distribution Sand SA.nc Silt SI.nc Clay CL.nc 19 Rock fragment GRAV.nc 20 Bulk Density BD.nc 21 Porosity POR.nc 22 Color (water condition unclear) Hue Unh.nc Value Chroma Unc.nc 23 Dry Color Hue Dh.nc Value Chroma Dc.nc 24 Wet Color Hue Wh.nc Value Chroma Wc.nc 25 Dominant and Second Structure S1.nc SW1.nc RS.nc 26 Dominant and Second Consistency C1.nc CW1.nc RC.nc 27 Root Abundance Description R.nc

0 2019-09-12