Brief Introduction: Pan-third-polar environmental change and green silk road construction
Number of Datasets: 642
Geographical distribution of major ecological protection and construction projects on the Tibetan plateau. There are four main projects, i.e. forest protection and construction project, grassland protection and construction project, desertification control project, soil erosion comprehensive control project. Processing method: classified summary, and the county as a unit of the regional distribution.
2020-06-01 681 28 View Details
Vegetation index is a key parameter reflecting changes in vegetation phenology. Vegetation index data with high temporal and spatial resolution can provide reliable data support for global change research.Currently, MODIS satellite data products are an important source of data for obtaining vegetation indices. MOD13Q1 provides Vegetation Index (VI) values on a per-pixel basis. There are 2 main vegetation layers.The first is the Normalized Difference Vegetation Index (NDVI) and the second is the Enhanced Vegetation Index (EVI).Taking 17 key nodes as research areas, based on the MOD13Q1 data from 2000 to 2016, the NDVI and EVI data of vegetation in different regions were cut and estimated, and finally the key node area 2000-2016 16-day 100-meter vegetation was obtained. Index data.
2020-06-01 213 2 View Details
Cryptosporidium spp. and E. bieneusi were tested by nested PCR on domestic animals (405 fecal samples from yaks, Tibetan sheep, camels and horses, etc.) in the areas covered by the qinghai-tibet plateau mainly in Tibet and qinghai.1. The overall infection rate of cryptosporidium was 2.96% (12/405), and the detection rate of camels, Tibetan sheep and yaks in qinghai was divided into 15%, 9.8% and 3.1%.The detection rate of yaks in yunnan was 3.1%.No other domestic animals were found in Tibet or yunnan.Two cryptosporidium subspecies were detected in qinghai camels, among which c. ovis subtype was the first detected in camels.C.ryanae subtype was first detected in yaks in yunnan.The overall detection rate of E. bieneusi in domestic animals in qinghai-tibet plateau was 19.75% (80/405), and a total of 9 known subtypes and a new subtype (YN) were detected.The highest detection rate was for camels (45%) in qinghai, followed by Mongolian sheep (42.1%), yak (37.5%), horse (15.62%) and Tibetan sheep (7.3%).The detection rate of Tibetan sheep in Tibet was 10.8%.The detection rates of goats and cattle in yunnan were 36% and 25.7% respectively.CAM2 subtype was first detected in qinghai horses and CAM1 subtype was first detected in yaks.A new subtype YN was detected in yunnan cattle.
2020-06-01 353 1 View Details
To analyzing the distribution pattern and genetic background of domain domestic animals in Qinghai-Tibet Plateau and surrounding regions and building a genetic resources bank of animals and plants in Pan-Third Pole, we collected 343 domain domestic animal samples in 2018, including Tibet pigs, Tibet dogs, Tibet sheep and Tibet chickens in Yunnan, Sichuan and Tibet Province. By applying mitochondrial DNA sequencing on 159 chickens from northwest Yunnan and southeast Tibet, genome resequencing on 11 wild and domestic pigs and GBS sequencing on 193 domestic cattle, a batch of genetic and genome data were generated. It provides basic genetic data to analysis on domestication, immigration and expansion of domestic animals in Qinghai-Tibet Plateau. Meanwhile it helps better understand the adaption of domestic animals to Qinghai-Tibet Plateau environment.
2020-06-01 438 3 View Details
According to the schedule of the project implementation plan and commissioned by the project team management committee, the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences organized a team of 6 people to carry out a field investigation in the Aral Sea from November 15 to November 26 in view of the desertification, salinization and vegetation construction of the surrounding land. The history, current situation, harnessing work, achievements and pressing problems of soil desertification and salinization around the Aral Sea were preliminarily understood. Sampling of vegetation and soil was carried out, and the technical idea to solve the problem was put forward, that is, planting Halophytes in brackish and saline groundwater to realize rapid vegetation construction in saline-alkali land. Through on-the-spot investigation, the investigation group believed that the implementation of vegetation construction in saline-alkali land should mainly focus on halophytes and local tree species. According to the distribution law of local halophytes and the characteristics of main constructive species in saline-alkali land, combined with the climatic conditions of the implementation site, seven halophytes, such as Salt-eared Tree, should be selected for planting demonstration. After the investigation, the investigation group put forward three specific suggestions on vegetation construction in saline-alkali land.
2020-06-01 434 0 View Details
Land Surface Temporature (LST) is a key parameter in global change research, and it has important for ecosystems and biogeochemistry. At present, MODIS thermal infrared series satellite data is an important data source for land surface temperature estimation.The 1-kilometer and 8-day MODIS land surface temporature datasat of key nodes (2000-2016) is obtained and stored by tailoring the land surface temperature estimation in 34 key nodes from 2000 to 2016 from MODIS products (MOD11A2). Based on the MOD11A2 production estimates land surface temperature by split-window algorithm, we modified the temperature inversion data by empirical fitting.
2020-06-01 571 12 View Details
Ecosystem Net Primary Productivity (NPP) is a key parameter in the study of global change. It provides a basis for applying ecological methods to study the carbon flux, carbon storage and carbon cycle of ecosystems, and to evaluate the global carbon balance, regional contribution and response of ecosystems. At present, MODIS satellite data product is an important data source for retrieving the total primary productivity of ecosystems. The 500-meter and annual MODIS ecosystem net primary productivity dataset of key nodes (2002-2014) is obtained and stored by tailoring and estimating the biomass and organic carbon accumulation in 18 key nodes (Bangkok, Burma_Port, Chittagong, Colombo, Dhaka, Gwadar_Port, Hambantota, Huangjing_Port_and_Malacca, Karachi, Kolkata, Kuantan, Maldives, Mandalay, Mumbai, Sihanouk, Taizhong_Luoyong, Vientiane, Yangon) from 2002 to 2014 from MODIS products (MYD17A3H).
2020-06-01 307 5 View Details
Land Surface Temporature (LST) is a key parameter in global change research, and it has important for ecosystems and biogeochemistry. At present, Landsat thermal infrared series satellite data (including Landsat TM, ETM+ and OLI thermal infrared bands) is an important data source for land surface temperature estimation. Taking the key nodes of Dhaka as the research area, using the data of Landsat TM/ETM+/TIRS series with good quality (less than 20% cloud) from 2000 to 2016 as inputs, the single channel algorithm (SC) was used to predict the land surface temperature. At the same time, reflectance correction based on NDVI sources was considered to allow for more accurate LST estimation of different regions and conditions. Finally, the annual quarterly (approximate) land surface temperature data of Dhaka key node area during 2000 and 2016 was obtained. Note: Because the data in this area was seriously interfered by the cloud cover, the LST data was cloud masked.
2020-06-01 173 0 View Details
The data set contains the meteorological element observation data of ebao station in the upper reaches of heihe hydrometeorological observation network on January 1, 2015 and December 31, 2016.The station is located in ebao town, qilian county, qinghai province.The longitude and latitude of the observation point are 100.9151E, 37.9492N, and the altitude is 3294m.The air temperature and relative humidity sensor is set up at 5m, facing due north.The barometer is installed in the anti-skid box on the ground;The tipping bucket rain gauge is installed at 10m;The wind speed and direction sensor is mounted at 10m, facing due north;The four-component radiometer is installed at 6m, facing due south;Two infrared thermometers are installed at 6m, facing south, with the probe facing vertically downward;The soil temperature probe is buried at the surface of 0cm and underground of 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm, 2m south of the meteorological tower.The soil moisture probe is buried underground at 4cm, 10cm, 20cm, 40cm, 80cm, 120cm and 160cm, 2m south of the meteorological tower.The soil heat flow plates (3 pieces) are successively buried 6cm underground, 2m south of the meteorological tower. Observation projects are: air temperature and humidity (Ta_5m, RH_5m) (unit: c, percentage), pressure (Press) (unit: hundred mpa), precipitation (Rain) (unit: mm), wind speed (WS_10m) (unit: m/s), wind (WD_10m) (unit: degrees), the radiation of four component (DR, UR, DLR_Cor, ULR_Cor, Rn) (unit: watts per square meter), the surface radiation temperature (IRT_1, IRT_2) (unit:C), soil heat flux (Gs_1, Gs_2, Gs_3) (unit: wattage/m2), soil temperature (Ts_0cm, Ts_4cm, Ts_10cm, Ts_20cm, Ts_40cm, Ts_80cm, Ts_120cm, Ts_160cm) (unit: water content by volume, percentage). Processing and quality control of observation data :(1) 144 data per day (every 10min) should be ensured.The four-component radiation and infrared temperature were between October 11, 2015 and November 5, 2015.The instrument of the observation tower was re-adjusted between 11.1 and 11.5, and the data was missing;(2) eliminate the moments with duplicate records;(3) data that obviously exceeds the physical significance or the range of the instrument is deleted;(4) the part marked with red letters in the data is questionable data;(5) the format of date and time is uniform, and the date and time are in the same column.For example, the time is: 2015-9-10 10:30;(6) naming rules: AWS+ site name. For information of hydrometeorological network or site, please refer to Li et al. (2013), and for data processing, please refer to Liu et al. (2011).
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The contents include five Central Asian countries, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan. The basic socio-economic indicators from 2012 to 2017 are divided into 12 categories: GDP, price, industry, agriculture, animal husbandry, construction, capital investment, transportation, foreign trade, labor market, wages, living standards and the exchange rate of the US dollar. Developments and changes. The data comes from ww. cisstat. com. The original index name is Russian, which is translated and edited. The accurate official data can provide basic data basis for the study of social and economic development in Central Asian countries.
2020-05-30 373 0 View Details
Based on the night light data from remote sensing, the research group used the method of Elvidge in 2009 and 2012 to reverse the incidence of poverty in the countries along the belt and the road. This data is comparable with Gini coefficient published by the World Bank and has the following four prominent advantages: (1) Computing units can be adjusted according to administrative boundaries, reflecting poverty disparities on the sub-regional scale of large countries that are difficult to achieve using statistic data; (2) The spatial Gini coefficient estimated based on night light data is less affected by subjective factors such as survey process, and is comparatively small. Objectively, and the comparability between countries is strong, which overcomes the difficult problem of unification between statistical calibers; (3) The survey and summary cycle limits the update speed at national and large sub-regional scales, while the method based on night light data estimation is convenient to update. (4) Night light data have many years of continuous interannual data from 1992 to 2017, which overcomes the difficulty of obtaining long time series indicators of poverty, such as the gap between the rich and the poor. In view of the above four outstanding advantages, the set of data can better support the research work and provide scientific data for finding out the basic situation of poverty along the "The Belt and the Road".
2020-05-30 455 4 View Details
The data include soil organic matter data of Tibetan Plateau , with a spatial resolution of 1km*1km and a time coverage of 1979-1985.The data source is the soil carbon content generated from the second soil census data.Soil organic matter mainly comes from plants, animals and microbial residues, among which higher plants are the main sources.The organisms that first appeared in the parent material of primitive soils were microorganisms.With the evolution of organisms and the development of soil forming process, animal and plant residues and their secretions become the basic sources of soil organic matter.The data is of great significance for analyzing the ecological environment of Tibetan Plateau
2020-05-30 228 6 View Details
This framework aims to improve the predicting power of species distribution models through testing models using demographic history since Last Glacial Maximum. By building species distribution models based on different combinations of environmental variables, and then comparing with current distributions, different scenarios of demographic histories can be generated. These scenarios will be compared with demographic history which reconstructed using genetic data. In this way, the best environmental variables combination can be determined. Then, building species distribution model using the chosen environmental variables combination will have more predicting power in predicting distribution changes in the future.
2020-05-30 178 0 View Details
The data set covers 599 meteorological stations in five Central Asian countries, including the following elements: * daily maximum temperature, * daily minimum temperature, * observed temperature, * Precipitation (i.e. rain, melting snow), covering the following dates: 1980-1986; 1996-2005; 2010; 2014; 2015 The data comes from ghcn-d, a data set containing global land area daily observation data, which integrates climate records. The data is a direct measurement of surface temperature, without interpolation or model assumptions, and contains many long-term site records. The disadvantage is uneven space coverage. Due to changes in observation time, site location, and the type of thermometer used, the records contain many heterogeneity. For more information about this dataset, see https://www.ncdc.noaa.gov/ghcnd-data-access
2020-05-30 493 24 View Details
Based on fieldworks of the Tibetan Plateau and the Pan-Third Pole from 2000 to 2018, the species diversity and distribution database of gammarids (Crustacea, Amphipoda) was built. Gammarids are pilot species in alpine lakes and suitable to serve as indicators for climate change. In order to understand how climate change and geological events influence the diversification of specie and how, in turn, animals adapt to ecological changes, the richness of species and related ecological and distributional data were collected. The species were identified according to the book of Fauna Sinica Crustacea Amphipoda Gammaridea III. The species diversity and distribution patterns were analyzed based on this dataset. This dataset can be used to evaluate the species diversity and to give a background for biodiversity conservation.
2020-05-30 208 1 View Details
The data include the night light data of Tibetan Plateau with a spatial resolution of 1km*1km, a temporal resolution of 5 years and a time coverage of 2000, 2005 and 2010.The data came from Version 4 dmsp-ols products. DMSP/OLS sensors took a unique approach to collect radiation signals generated by night lights and firelight.DMSP/OLS sensors, working at night, can detect low-intensity lights emitted by urban lights, even small-scale residential areas and traffic flows, and distinguish them from dark rural backgrounds.Therefore, DMSP/OLS nighttime light images can be used as a representation of human activities and become a good data source for human activity monitoring and research.
2020-05-30 415 12 View Details
MODIS 250-meter forest coverage is a key parameter that accurately reflects the overall coverage of forests. Forests serve as special “transformation” roles in lithosphere, biosphere, soil circles and the atmosphere, to assess the global carbon balance of ecosystems and Regional contributions and responses provide the foundation.Currently, MODIS satellite data products are an important source of data for inversion of forest cover.With 18 key nodes as the research area, based on the MOD44B data from 2000 to 2016, the forest coverage data of different regions were tailored and estimated, and the MODIS 250-meter forest coverage data of key nodes in 2000-2016 was obtained.
2020-05-30 384 1 View Details
Current Situation Data of Agricultural Water and Soil Resources in the Five Central Asia Countries from 2000 to 2015 are derived from the Food and Agriculture Organization of the United Nations (FAO) food statistics database. The main elements include: water resources, temperature, soil, fertilization management, biomass, rice cultivation and land use information such as farmland, woodland and grassland. It can be used to support the analysis of the supply and demand situation of agricultural water resources in Central Asia, the study of land resource types and spatial distribution patterns, the study on the characteristics of agricultural land pattern changes, the evaluation of land resources exploitation and utilization degree and the evaluation of land resources quality, etc. It is helpful to understand the potential of agricultural land resources development in Central Asia and ensure the safety of agricultural production in Central Asia.
2020-05-30 429 8 View Details
The data on the consumption and trade of agricultural products for the period 1992-2016 in the five Central Asian countries are derived from the Food and Agriculture Organization of the United Nations (FAO) food statistics database. The main elements include: crop types and yields, crop sown area, breed species and scale, animal product output, dietary structure, population, policy technology, total import and export amount and amount, etc. It can be used to support the development and utilization of agricultural water and soil resources in Central Asia, and the measurement and management of the "virtual water" and "virtual soil" resources contained in agricultural products. It provides the basic data support for the agricultural products trade complementation and agricultural cooperation decision making between China and the five Central Asian countries, and guarantees and promotes the construction of the Silk Road economic belt.
2020-05-30 381 4 View Details
As the “water tower of Asia”, Tibetan Plateau (TP) are the resource of major rivers in Asia. Black carbon (BC) aerosol emitted from surrounding regions can be transported to the inner TP by atmospheric circulation and consequently deposited in snow, which can significantly influence precipitation and mass balance of glaciers. By drilling and sampling ice cores and snow samples and measuring BC concentration, historical record and spatial distribution can be abtained. It can provide basic dataset to study the effects of BC to the environment and climate over the Tibetan Plateau, as well as the pollutants transport.
2020-05-30 458 4 View Details