Brief Introduction: Pan-third-polar environmental change and green silk road construction
Number of Datasets: 627
This data set is the data set of ecological elements in the Qinghai Tibet Plateau from 1990 to 2015. It records the change of area proportion of wetland, grassland, forest land and sand land in 15 prefecture level units in Qinghai and Tibet every five years. The data is excel file, and the spatial resolution is the scale of prefecture level administrative unit. The data is based on the land use type data of the Qinghai Tibet Plateau, and is obtained by calculating the proportion of wetland, grassland, forest land and sand land in the area of each land unit. The data set can be used for the change analysis and research of ecological elements of the Qinghai Tibet Plateau, and can provide data support for the study of interaction stress between urbanization and ecological environment.
2019-11-11 222 11 View Details
This data set is the data set of land resource elements in the Qinghai Tibet Plateau from 1990 to 2015. It records the change of land use proportion of 15 built-up areas of prefecture level units in Qinghai and Tibet every five years. The data is excel file, and the spatial resolution is the scale of prefecture level administrative unit. This data is based on the land use type data of the Qinghai Tibet Plateau, and is obtained by calculating the proportion of the built-up area in the area of each grade unit to the area of the grade unit. The data set can be used to study the spatial pattern, development process and evolution mechanism of the urbanization of the Qinghai Tibet Plateau, and provide data support for the study of the impact of the urbanization of the Qinghai Tibet Plateau on the ecological environment.
2019-11-11 224 8 View Details
the spatial-temporal changes in the hydrological variables and the normalized difference vegetation index (NDVI) during 2002-2014 were investigated using multiple satellite data and a remote sensing energy balance model.
2019-11-08 258 2 View Details
This data set is the data set of climatic factors in the Qinghai Tibet Plateau from 1990 to 2015, which records the spatial distribution change of annual rainfall every five years in the past 25 years. The data is in TIF grid format, with spatial resolution of 1km and annual rainfall unit of 0.1mm. The data comes from the daily observation data of meteorological stations on the Qinghai Tibet Plateau, which is generated by time aggregation calculation and spatial interpolation processing. As an important climate factor, the data set can be used to study the interannual rainfall change and climate change on the Qinghai Tibet Plateau. As the climate background of the ecological environment change on the Qinghai Tibet Plateau, it can provide data support for the study of the interactive stress between urbanization and ecological environment Bracing.
2019-11-07 478 54 View Details
An effective assessment of future climate change, especially future precipitation forecasting, is an important basis for the rational development of adaptive strategies for Northwest China, where the ecological environment is fragile and encompasses arid and semiarid regions. Based on RegCM 4.6 model and HadGEM2-ES scenarios with four different representative concentration pathways (RCP 2.6, RCP 4.5, RCP6.0 and RCP 8.5), the climate projections of 0.25 degree in the future (2007-2099) at 3 hours, daily and yearly time scales over Northwest China are presented respectively. These data indicate that the near-surface temperature in Northwest China will continue to warm in the future under RCP 8.5 scenario. By the end of the 21st century, the temperature will become more significant. Over 6 °C, precipitation will continue to increase in the future, and will increase by 100 mm by the end of the 21st century; The number of extreme climate index summer days (SU) will continue to increase, indicating that high temperatures will be more frequent over Northwest China in future, meanwhile, the number of consecutive dry days (CDD) will decrease,
2019-11-06 1103 32 View Details
The sand drift potential data sets of Central Asia in 2017 is in tif format. It covers five countries in Central Asia, including Uzbekistan, Tajikistan, Kyrgyzstan, Kazakhstan and Turkmenistan. The sand drift potential is absolutely drift potential, that is, the sum of the flux in all directions, regardless of the direction of the potential. The data was obtained by GLDAS global three-hour assimilation data extraction calculation. The temporal resolution is month, the spatial resolution is 0.25°, and the time range is 2017. This data set can be used as an important reference data for sand storm disaster assessment.
2019-11-01 224 0 View Details
This framework aims to explore the impact of climate change on the fitness of ectotherms. We obtain the morphology, physiology, behavior and life history parameters of the animals by consulting literature and experimental research; then use the microclimate model and global warming data to obtain microclimate data at the current and the end of the century; and then use the biophysical model to calculate adult body temperature and embryonic developmental temperature. We construct a life history mechanism model to calculate the energy budget of the reproductive female and the total energy of the surviving offspring, and assess the vulnerability of ectotherms in each region. The main point of this study is to construct a segmental life history mechanism model for species of two reproductive modes, so that the start time and duration of each life history can be dynamically calculated, and the energy of each life history stage can be calculated by combining energy metabolic and embryonic development models.
2019-10-31 235 0 View Details
Luanhaizi borehole (LHZ18) was obtained by huangxiaozhong research group of Lanzhou University in August 2018. This data is geochemical element data of 0-859 cm core of Luanhaizi Lake in Qilian Mountains. The experiment was completed in the Key Laboratory of Western Ministry of environmental education of Lanzhou University. This data provides long series and high-resolution geochemical element content. The data comes from core scanning, continuous elemental content changes were obtained 0-829 cm through element change and the field records. The data provided long-time-scale elemental content changes of lakes in Qilian Mountains, and played an important role in the study of paleoclimate and Paleoenvironment in the long time series of the Qinghai-Tibetan Plateau.
2019-10-28 254 0 View Details
Luanhaizi Borehole (LHZ18) was acquired by Huang Xiaozhong Research Group of Lanzhou University in August 2018. This data is 0-859 cm grain size data of the core of Luanhaizi Lake in Qilian Mountains. Grain size analysis was carried out at 0-4 m according to one sample, and grain size analysis was carried out at on ssample interval at the depth of 4-8.6 m, totaling 390 data were obtained. The experiment was completed in the Key Laboratory of the Ministry of Environmental Education of Lanzhou University, and grain size analysis was carried out with Mastersizer 2000 instrument. The data reflected the grain size change of the lake sediment, which is very important for the study of long-time series eolian activities in the Qinghai-Tibet Plateau.
2019-10-28 398 0 View Details
This dataset contains monthly and daily 0.01°×0.01° (2018) LST products in Qilian Mountain Area. The dataset was produced based on MYD21A1 LST products at a resolution of 0.01° along with some auxiliary datasets. The auxiliary datasets include Lat/Lon and the Julian Day information. MYD21A1 is the official LST product of MODIS, and the data is divided into day and night, using TES algorithm. Download URL: https://urs.earthdata.nasa.gov.
2019-10-27 323 8 View Details
The data include NDVI data of Tibetan Plateau region, with spatial resolution 1000m, time resolution 16d, and time coverage in 2000, 2005, 2010 and 2015.The data source is MOD13A2(C6).NDVI is a kind of vegetation index formed by combining visible light and near-infrared bands of satellites according to the spectral characteristics of vegetation.NDVI is a simple, effective and empirical measure of surface vegetation.The data is of great significance for analyzing the ecological environment of Tibetan Plateau.
2019-10-27 369 28 View Details
The birds along the Zhamo Highway in Medog and Bome counties are investigated by mist net method and point count method. According to the 400-meter elevation span, elevation transects were set up in the survey area. Four elevation transects are set up in the north slope from Gangcun to Galong Temple in Bome County, from low to high, and nine elevation transects are set up in the south slope from Jiefang Bridge to Galongla in Medog County. So that we can make a breakthrough understanding the formation and maintenance mechanism of bird diversity in this region. The data of bird diversity and distribution will be used to further explore the key scientific issues such as the impact of climate change on bird diversity and adaptation strategies, and the response and protection strategies of bird species diversity under the global climate change.
2019-10-27 212 1 View Details
The data are construction land index of countries along the "the Belt and Road" in 2010 and 2015, also known as the construction land rate. It refers to the proportion of land used for construction in the total land area, including land for urban and rural housing and public facilities, land for industrial and mining purposes, land for energy, transportation, water conservancy, communications and other infrastructure, land for tourism and land for military purposes. The data come from the international statistics website. The area of construction land and relevant land that it had provided, divide the result of total land area of the country to get. It reflects the degree of development of a country's land area and the intensity of infrastructure development. At the same time, its value is also closely related to the national and regional economic development level, population density, urban residential density, traffic network density and so on. In the coordinated development of "the Belt and Road", they can provide important reference for the planning and implementation of national policies and programs, so as to accelerate the economic development of all countries.
2019-10-24 221 3 View Details
This dataset includes the concentrations and spatial pattern of mercury (Hg) in the foliage of the local tree species over the easteran and the southern Tibetan Plateau. Fifty-three leaf samples were collected, and cold vapor atomic fluorescence spectrophotometry (CVAFS) was used to analyse the Hg contents. The limit of detection (LOD) for this method is 1.8 ng/g. The standard reference material, foliage GB GSW-11, which is supplied by National Institute of Metrology P.R.China, was also analyzed for assessing the accuracy of this method, and the recoveries of this method were 94.6%±9.7%. This dataset will provide the informations of foliage absoprtion to Hg over the Tibetan Plateau.
2019-10-24 205 0 View Details
The vegetation coverage data of theChina-Mongolia-Russia Economic Corridor is based on the Landsat TM data. The dataset includes three-year vegetation coverage data（ 1990, 2000, and 2005）. The Normalized Difference Vegetation Index (NDVI) is extracted first and then converted into vegetation coverage. Since the image is greatly affected by the cloud, this data is replaced by the same period image of the nearby year. The land cover of the corridor is mainly grassland (steppe). Seasonal and one-time precipitation have a great impact on grassland growth. Therefore, there are still different time splicing problems in this data. After that we will propose a solution to the problem and share the new version of the data. For example, based on a large amount of remote sensing data (multi-temporal phase), the maximum synthesis method is used to extract vegetation coverage.
2019-10-24 154 0 View Details
The data includes 30 items of data in four categories: basic information, comprehensive economy, agriculture and industry, education, health and social security in Qinghai Province and Tibet Autonomous Region. It covers the basic data reflecting human activities, such as population, employees, industrial output value, agricultural machinery power, facility agriculture, etc. of the main county administrative units of the Qinghai Tibet Plateau. The data are sorted out according to the statistical yearbook data of China's counties from 2001 to 2018. For the convenience of application, the data of Qinghai and Tibet are independently tabulated and included in the data of each year. The data can be used to analyze human activities and social and economic development in the county, as well as agricultural and rural development and change process.
2019-10-23 409 31 View Details
The checklist and distribution database of alpine subnival plants mainly includes the collection information and identification information of alpine subnival plants. Between them, the collection information document includes species name, genus name, family name, habitat, altitude, longitude and latitude, collector and collection time; while the identification information document includes species name, genus name, family name, determinavit and identification time. The collected information in the database comes from the first-hand data in the field, while the identification information comes from the identification results of famous botany experts in the world. The quality of data in database is high. It can not only be used in the study of flora and regionalization, but also lay a solid foundation for the study of plant diversity, ecosystem and global climate change response.
2019-10-23 397 11 View Details
This dataset contains monthly 0.05°×0.05° (1982, 1985, 1990, 1995, and 2000), 0.01°×0.01° (2005, 2010, 2015, 2017 and 2018), and daily 0.01°×0.01° (2018) LST products in Qilian Mountain Area. The dataset was produced based on SW algorithm by AVHRR BT from thermal infrared channels (CH4: 10.5µm to 11.3µm; CH5: 11.5µm to 12.5µm) at a resolution of 0.05°, MYD21A1 LST products at a resolution of 0.01° along with some auxiliary datasets. The auxiliary datasets include IGBP land cover type, AVHRR NDVI products, Modern Era Retrospective-Analysis for Research and Applications-2 (MERRA-2) reanalysis data, ASTER GED, Lat/Lon and the Julian Day information.
2019-10-23 360 3 View Details
The Lunpola Basin in the central Tibetan Plateau is situated along the southern margin of the east-west stretched Banggong-Nujiang suture belt between the Qiangtang Terrane and the Lhasa Terrane. The thick and continuous Cenozoic sediments in the basin can provide great potential for understanding the tectonic uplift, paleoaltimetry, erosion and depositional history of the Tibetan Plateau and climate environmental evolution. However, the study of geologic and climatic changes has been hindered by poor age constraints on the Cenozoic sedimentary sequence in the Lunpola Basin, especially its upper part with typical lacustrine oil shale sediments due to the discontinuous or unexposed outcrop caused by erosion or weathering. In this study, we investigated a 658 m-thick Cenozoic continuous lacustrine sedimentary section, Lunpori, from the upper sequence of the central basin. We found two layers of tuffs in this section and then carried out detailed paleomagnetic measurements. Constrained by tie points of U-Pb zircon ages, the observed magnetic zones are well correlated with chrons C5Bn.2n to C6AAn of the Geomagnetic Polarity Time Scale, yielding ages of ~21.2 to 15 Ma for the section. Lithofacies, pollen and fossil records suggest a relative temperate, humid climate prevailing in the Lunpola Basin during the period of Dingqinghu Formation, indicating that the Indian monsoon occurred before ~26 Ma.Through paleomagnetic analysis and testing of fluvial and lacustrine facies strata in Lumpola Basin since Miocene, 22Ma-15Ma magnetic stratigraphic chronology has been obtained.
2019-10-21 601 1 View Details
1) The data includes the soil erosion modulus of 18 watersheds with a resolution of 5 m in the year of 2017 in Thailand. 2) Based on the surface layer of rainfall erosivity R, soil erodibility K, slope length factor LS, vegetation coverage FVC, and rotation sampling survey unit, the Chinese soil erosion model (CSLE) was used to calculate soil erosin modulus in 18 watersheds of Thailand respectively. Through spatial data processing (including chart linking and transformation, vector-grid conversion, and resampling), R, K, LS factors were calculated from the regional thematic map of rainfall erosivity, soil erodibility, and DEM. By half-month FVC, NPV, half-month rainfall erosivity data, we calculated the value of B factors in each sampling watershed. The value of E factor was calculated based on the remote sensing interpretation result and engineering measure factor table. The value of tillage factor T was obtained from tillage zoning map and tillage measure table. And then the soil erosion modulus in each sampling watershed was calculated by the equation: A=R•K•LS•B•E•T. The selection of 18 watersheds was based on the layout of sampling survey in pan-third polar region. 3) Compared with the data of soil erosion intensity in the same region in the same year, there is no significant difference and the data quality is good.4) the data of soil erosion intensity is of great significance for studying the present situation of soil erosion in Pan third polar region and better implementation of the development policy of the Silk Road Economic Belt and the 21st-Century Maritime Silk Road.
2019-10-18 235 0 View Details