To understand the potential impact of projected climate changes on the vulnerable agriculture in Central Asia (CA) in the future, six agroclimatic indicators are calculated based on the 9km-resolution dynamical downscaled results of three different global climate models and a high-resolution projection dataset of agroclimatic indicators over CA is produced. These indicators are growing season length (GSL, days), biologically effective degree days (BEDD, ℃), frost days (FD, days), summer days (SU, days), warm spell duration index (WSDI, days), and tropical nights (TR, days). The periods are 1986-2005 and 2031-2050. The spatial resolution is 0.1°. As all the indicators except WSDI are defined with absolute temperature thresholds and particularly sensitive to the systematics biases in the model data, the quantile mapping (QM) method is applied to correct the simulated temperature. Results show the QM method largely reduces the biases in all the indicators. GSL, SU, WSDI, and TR will significantly increase over CA and FD will decrease. However, changes in BEDD are spatially heterogeneous, with the increases in northern CA and the mountainous areas and decreases in the southern and middle part of the plain areas. This dataset can be applied for assessing the future risks in the local agriculture for climate changes and will be beneficial to adaption and mitigation actions for food security in this region.
QIU Yuan QIU Yuan
Based on the historical daily maximum temperature data and reanalysis data set of stations, a daily maximum temperature statistical downscaling model based on first-order autoregressive and multiple linear regression models is developed. Driven by the IPCC cmip6 scenario data of the global climate model (cnrm-cm6-1), the statistical downscaling model predicts the number of five heat wave indexes (heat wave events) of 65 stations in Central Asia from 2015 to 2100 (HWM), heat wave frequency (HWF), heat wave intensity (HWM), maximum duration of heat wave (HWD), heat wave amplitude (HWA)). Finally, the heat wave change scenario data sets of 65 stations in Central Asia under four emission scenarios (ssp126, ssp245, ssp370, ssp585) from 2015 to 2100 were obtained.
FAN Lijun
The data from the Digital Mountain Map of China depicts the spatial pattern and complex morphological characteristics of mountains in China from a macro scale, including the mountains’ spatial distribution, classification, morphological elements and area ratio. It is a set of basic data that can be used for mountain zoning, mountain genetic classification and resource environment correlation analysis. Mountains carry great natural resource supply, provide ecological service and regulation functions, and play an important part in eco-civilization construction and socioeconomic development in China. Lately，Prof. Li Ainong of the Institute of Mountain Hazards and Environment, CAS, developed this data set based on the spatial definition of mountains, an a topography adaptive slide window method for the relief amplitude. The data include: (1) Spatial distribution of mountains in China; (2) Mountain classification; (3) Main mountain ranges (with range alignment, relief grade and ridge morphology); (4)Main mountain peaks; (5)Mountain proportion table of the provinces/autonomous regions/municipalities of China; (6) Contour zoning data; (7) General situation of mountain formation; (8)Mountain division and zoning data; (9) List of main mountain peaks. The spatial resolution of the original DEM source is about 90m. And the boundaries of mountains have been revised with multisource remote sensing data, which has good spatial consistency with the relief shading map. The cartographic generalization accuracy of mountain ranges and relevant features is 1:1 000 000. Mountain features in this data set have higher spatial resolution and pertinence, which are available for the zonality of mountain environment and mountain hazards, and the spatial analysis for ecological, production and living spaces in mountain areas, surpporting macro decision-making on mountain areas' development in China. p
NAN Xi , LI Ainong , DENG Wei
This data is the plant diversity and distribution data of the chnab005 grid on the Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of the plants in this grid. This data is obtained from e-Science website（ http://ekk.kib.ac.cn/web/index/#/ ）And partially complete the identification. This data has covered the list of plants in this flora and the specific distribution information. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region. What is different from last year is that the grid with the most scientific research data this year has changed, which may be affected by the epidemic or the environment.
DENG Tao
This data is the plant diversity and distribution data of chnz016 grid on Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of plants in this grid. The data is obtained from e scientific research website（ http://ekk.kib.ac.cn/web/index/#/ ）And partially complete the identification. This data has covered the list and specific distribution information of all plants in this flora. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region.
DENG Tao
This data is the plant diversity and distribution data of chnyb013 grid on the Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of plants in this grid. The data is obtained from e scientific research website（ http://ekk.kib.ac.cn/web/index/#/ ）And partially complete the identification. This data has covered a large number of plant catalogues and specific distribution information in this flora. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region.
DENG Tao
This data set includes a small vertebrate detection system and trigger sensor data set deployed in Heshan hilly comprehensive test station of Chinese Academy of Sciences. The system is deployed in Heshan hilly comprehensive test station Park (112 ° 53'58 "E, 22 ° 40'39" n), with a time span (November 2019-may 2021). The system consists of a flexible pressure sensor array (25cm * 25cm), a scanning circuit, a controller, a control system unit based on a mobile phone board, that is, a smart camera (driven by the trigger signal output by the pressure sensor, the camera is controlled to automatically take pictures, record and record, and upload data). A total of 72 valid and non repetitive animal photos were collected by the system. 1. Small wild animals in the installation site of Heshan hilly comprehensive test station of Chinese Academy of Sciences. When wild animals appear on the flexible pressure sensor, the acquisition is triggered once. 2. Data source: "development of terrestrial vertebrate monitoring equipment", 2016yfc0500104, completed by: Chengdu Institute of biology, Chinese Academy of Sciences, raw data, unprocessed. 3. Photo data can be divided into motion trigger and static pressure trigger. The former requires the moving distance of the animal on the flexible pressure sensor to be greater than the set threshold to prevent repeated trigger when the animal is stationary; the latter refers to that the animal generates pressure on the flexible pressure sensor, that is, it is triggered all the time. This data set is the data in motion trigger mode. 4. This data can be used to record the population number of small wild animals in a certain area (similar to the sensing trap method). Combined with the relevant data of ecological factors, it can be used to analyze the population number and circadian rhythm of small wild animals.
FANG Guangzhan
This data is the plant diversity and distribution data of chnac006 grid on the Qinghai Tibet Plateau, including the Chinese name, Latin name, latitude and longitude, altitude, collection number, number of molecular materials, number of specimens, administrative division, small place, collector, collection time and creator of plants in this grid. The data is obtained from e scientific research website（ http://ekk.kib.ac.cn/web/index/#/ ）And partially complete the identification. This data has covered the list and specific distribution information of more than 600 species of plants in more than 200 genera and 91 families in this flora. This data can be used not only to study the floristic nature of this region, but also to explore the horizontal and vertical gradient pattern of plants in this region.
DENG Tao
The Third Pole 1:100,000 settlements distribution data set：Settlements（Tibet_Cities)、Capitals（Tibet_Capitals）、Cities up to 75K（Tibet_Cities_up_to_75K）vector space data set and its attribute name：Cities Name(ENG_NAME)、 urban population（CITY_POP) The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，Data through the topology, into the library，It's comprehensive, up-to-date and seamless geodigital data. The world map coordinate system is latitude and longitude, D_WGS_1984 datum surface
ADC WorldMap
Rainfall erosivity is one of the important basic data to quantify soil erosion in the Tibet Plateau. High precision rainfall erosivity data is the key to understand the current situation of soil and water loss in theTibet Plateau and formulate soil and water conservation measures. Meanwhile, it can provide a powerful reference for the prevention and control of geological disasters in the Tibet Plateau. Based on the 1-min dense precipitation observations and the grid precipitation product, a new annual rainfall erosivity dataset in Tibet Plateau from 1950 to 2020 is constructed through the steps of correction, reconstruction and validation. This dataset is the rainfall erosivity data set with the highest accuracy and the longest time series in the Tibet Plateau.
CHEN Yueli
Qinghai Lake is the largest inland salt water lake in China, which is located in the northeast of Qinghai Tibet Plateau. Its unique natural ecological environment and biodiversity are of great significance in the western development and ecological construction. The data is the distribution data of residential areas in the Qinghai Lake Basin, including the distribution of cities, counties, towns and villages in the Qaidam River Basin. The data mainly has two attribute fields: Code (residential area code) and name (residential area name). Collect and sort out the basic, meteorological, topographical and geomorphological data of Qinghai Lake Basin, and provide data support for ecological management of Qinghai Lake Basin.
National Basic Geographic Information Center
The data is the distribution data of the settlements in the Tarim River Basin, mainly including the distribution of cities, counties, towns, and villages in the Tarim River Basin. The data mainly has two attribute fields: Code (settlement code), Name (settlement name)
National Basic Geographic Information Center
The data set of 1:100,000 settlements in the Arctic includes all settlements in the North Pole (Arctic_Resident), capital settlements (Arctic_Capitals), Cities_up_to_75K settlements and other vector spatial data and related attribute data: urban name (ENG_NAME), CITY_POP and other properties. The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，It's most comprehensive, current and seamless geographic digital data for the whole earth. The world map coordinate system is latitude and longitude, WGS84 datum surface，Arctic specific projection parameters（North_Pole_Stereographic）.
ADC WorldMap
After the debris flow flexible protection system intercepts the debris flow disaster, the UAV tilt photography is carried out on the disaster slope. After the three-dimensional model of the slope is established with the help of terrain reconstruction software such as context capture, the protection process is inversely calculated, and the mechanical response history of each component of the structure is obtained through calculation, so as to obtain the wire rope tension, steel column internal force, system buffer distance The residual protection height of the system, the deformation of energy dissipator and the deformation of steel column provide a reference for the performance evaluation and optimization design of the protection system.
QI Xin
The Qinghai-Tibet Plateau is the source of many major rivers in Asia, providing essential water for hundreds of millions of people, and is known as the "Water Tower of Asia". The main source of water recharge for the Asian Water Tower is precipitation from the Tibetan Plateau, of which the Tibetan Plateau vortex (TPV) is one of the important precipitation-producing systems on the Tibetan Plateau. Due to the complex topography of the Tibetan Plateau and the lack of observational data, there are still many gaps in the understanding of the climatic and structural characteristics of the TPVs and their formation and change mechanisms. This dataset uses multiple sets of reanalysis data and objective identification methods to obtain a long time series TPVs dataset, including the location, radius, intensity, life history, and movement path and other characteristics. The reanalysis datasets used in the dataset are: NCEP1 (NCEP/NCAR), NCEP2 (NCEP/DOE), ERA-Interim, ERA-40, ERA-5, CFSR, MERRA2, JRA55, NCEP FNL, CRA40, etc. NCEP1 and NCEP2 have lower resolution and the obtained highland low vortices are not applicable as climate feature analysis.
LIN Zhiqiang , LIN Zhiqiang, GUO Weidong GUO Weidong
The 1:1,000,000 Antarctic settlements data set includes vector spatial data of Antarctic settlements and its related attributes：City name (ENG_NAME), city population (CNTEY_NAME), (CNTRY_CODE), etc. The data comes from the 1:100,000 ADC_WorldMap global data set，The data through topology, warehousing and other data quality inspection，Data through the topology, into the library，It's comprehensive, up-to-date and seamless geodigital data. The world map coordinate system is latitude and longitude, WGS84 datum surface，Antarctic specific projection parameters（South_Pole_Stereographic）.
ADC WorldMap
The data is the resident site distribution dataset of the north slope of Tianshan River Basin, including the hierarchical distribution of cities, counties, towns and villages at the north slope of Tianshan River Basin. The data mainly has two attribute fields: Code (residential area code) and Name (residential area name).
National Basic Geographic Information Center
The data is the distribution data of residential areas in the chaidamu river basin, including the distribution of cities, counties, towns and villages in the chaidamu river basin. The data mainly has two attribute fields: Code (residential area Code) and Name (residential area Name).
National Basic Geographic Information Center
The Wuyu Basin is bounded by the Gangdese Mountains to the north and the Yarlung Tsangpo River to the south, and is a representative basin to study the Cenozoic tectonism of the southern Tibet. The sedimentary strata in the Wuyu Basin include the Paleocene-Eocene Linzizong Group volcanics and the Oligocene Rigongla Formation (Fm.) volcanics, the Miocene lacustrine sediments of the Mangxiang Fm. and Laiqing Fm. volcanics, the late Miocene-Pliocene Wuyu Fm., and the Pleistocene Dazi Fm. Five sandstone samples from the Mangxiang Fm., Wuyu Fm. and Dazi Fm. and one modern Wuyu reiver sand sample were collected for detrital zircon U-Pb dating using the LA-ICP-MS method. Detrital zircon U-Pb ages in the Mangxiang Fm. show a large cluster at 45-80 Ma; those in the Wuyu Fm. show a large cluster at 8-15 Ma and a subsidiary cluster at 45-70 Ma; those in the Dazi Fm. show three large clusters at 45-65 Ma, 105-150 Ma and 167-238 Ma; and those in modern Wuyu river show a large cluster at 8-15 Ma and a subsidiary cluster at 45-65 Ma (Figure 1). Late Cretaceous-early Eocene zircons in all samples are consistent with the most prominent stage of magmatism of the Gangdese Mountains; the 8-15 Ma zircons in the Wuyu Fm. and modern Wuyu river are consistent with the magmatism of the Laiqing Fm.; and the Triassic-Jurassic zircons in the Dazi Fm. are consistent with the magmatism of the central Lhasa terrane. The results of detrital zircon U-Pb ages and sedimentary facies analyses in the Wuyu Basin indicate that the southern Tibetan Plateau suffered multi-stage tectonism-magmatism since the India-Asia collision: (1) Paleogene Linzizong Group-Rigongla Fm. volcanics; (2) tectonism-magmatism at ~15 Ma ended the lacustrine sediments of the Mangxiang Fm. and resulted in volcanism of the Laiqing Fm.; (3) tectonism at ~8 Ma resulted in the volcanic rocks of the Laiqing Fm. becoming one of the main provenances for the overlying Wuyu Fm.; (4) the Wuyu Basin formed braided river and received sediments from the central Lhasa terrane to its north at ~2.5 Ma. The geomorphic pattern of the southern Tibet has gradually formed since the Quaternary.
MENG Qingquan MENG Qingquan
Ecosystem productivity resilience reflects the level of ecosystem productivity resilience in the countries along the Belt and Road, with higher values indicating greater ecosystem productivity resilience in the countries along the Belt and Road. Ecosystem productivity resilience data were prepared with reference to the global medium resolution vegetation gross primary productivity dataset from 2000-2015, with a spatial resolution of 0.05° and a temporal resolution of 1 year. The products were prepared based on sensitivity and adaptability analysis, using year-by-year data on total primary productivity of vegetation in the countries along the Belt and Road from 2000 to 2015, and through comprehensive diagnostics to generate ecosystem productivity resilience products.
XU Xinliang
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