This dataset subsumes sustainable livestock carrying capacity in 2000, 2010, and 2018 and overgrazing rate in 1980, 1990, 2000, 2010, and 2017 at county level over Qinghai Tibet Plateau. Based on the NPP data simulated by VIP (vehicle interface process), an eco hydrological model with independent intellectual property of the institute of geographic sciences and nature resources research(IGSNRR), Chinese academy of Sciences(CAS), the grass yield data (1km resolution) is obtained. Grass yield is then calculated at county level, and corresponding sustainable livestock carring capacity is calculated according to the sustainable livestock capacity calculation standard of China(NY / T 635-2015). Overgrazing rate is calculated based on actual livestock carring capacity at county level.The dataset will provide reference for grassland restoration, management and utilization strategies.
MO Xingguo
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.
Da Wei
The data set records the statistical data of irrigation, reservoir, water and alkali control in Qinghai Province in main years, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains one data table, which is: irrigation, reservoir, waterlogging control, water control and alkali control in main years, 1978-2005.xls Field 1: number of irrigated areas over 10000 mu Field 2: effective irrigation area of irrigation area (1000 HA) Field 3: large reservoir Field 4: medium reservoir Field 5: small reservoir Field 6: large reservoir Field 7: medium reservoir Field 8: small reservoir Field 9: water saving irrigation area (1000 HA) Field 10: drainage area (1000 HA) Field 11: soil erosion area (1000 HA) Field 12: area of soil erosion control Field 13: saline alkali land area (1000 HA) Field 14: improved area of saline alkali farmland (1000 HA) Field 15: dike length (km) Field 16: embankment protection area (1000 HA) Field 17: year
Qinghai Provincial Bureau of Statistics
Shule River Basin is one of the three inland river basins in Hexi corridor. In recent years, with the obvious change of climate and the aggravation of human activities, the shortage of water resources and the problem of ecological environment in Shule River Basin have become increasingly prominent. It is of great significance to study the runoff change of Shule River Basin in the future climate situation for making rational water resources planning and ecological environment protection. The Shule River basin boundary is cut from "China's 1:100000 desert sand data set". Taking the 2000 TM image as the data source, it interprets, extracts, revises, and uses remote sensing and geographic information system technology to combine with the 1:100000 scale mapping requirements to carry out thematic mapping of desert, sand and gravel gobi. Data attribute table: Area (area), perimeter (perimeter), ash_ (sequence code), class (desert code), ash_id (desert code). The desert code is as follows: mobile sand 2341010, semi mobile sand 2341020, semi fixed sand 2341030, Gobi 2342000, salt alkali land 2343000. Collect and sort out the basic, meteorological, topographical and geomorphic data of Shule River Basin, and provide data support for the management of Shule River Basin.
To better protect these precious natural heritages, rationally develop and utilize natural resources and carry out scientific research, since 1975, 11 natural reserves have been established in Qinghai province, which cover an area of 21,805,400 hectares. They account for 30.2% of the land area of Qinghai province. Six of these natural reserves are national reserves that cover an area of 20,625,900 hectares, and five are provincial reserves that cover an area of 1,179,550 hectares. Among the provincial natural reserves, the Geermu Populus Euphratica Forest and the Beichuan River Reserve in Datong County of Qinghai have already applied to be national natural reserves. Until the end of 2012, eleven natural reserves—5 national and 6 provincial—have been established. Data were extracted from the Chinese Nature Reserve Specimen Information Sharing Infrastructure. Serial number： unified coding of the natural reserves Name of the natural reserves Administrative region: administrative region of the nature reserves Area (hectare) Main protected objects Type: Type of the nature reserves Class: Class of the nature reserves Initial time: the established time Competent authority
Institute of forest ecological environment and protection
The data set records the statistical data of grassland protection and construction in Qinghai Province, covering the period from 2009 to 2016. The data are divided into 8 states and cities according to Xining City, Haidong region, Haibei Prefecture, Huangnan Prefecture, Hainan prefecture, Guoluo Prefecture, Yushu prefecture and Haixi Prefecture. The data set contains 8 data tables, which are: statistical table of grassland protection and construction (2009), statistical table of grassland protection and construction (2010), statistical table of grassland protection and construction (2011), statistical table of grassland protection and construction (2012), statistical table of grassland protection and construction (2013), statistical table of grassland protection and construction (2014), Statistics of grassland protection and construction (2015), and statistics of grassland protection and construction (2016). The data table structure is similar. For example, there are 7 fields in the statistical table of grassland protection and construction (2009): Field 1: Region Field 2: grass fence Field 3: rodent control Field 4: pest control Field 5: improved grassland Field 6: artificial grass planting Field 7: Standard livestock greenhouse
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set recorded the statistical data of the basic situation of environmental protection in Qinghai Province from 2005 to 2020. The data were divided into water environment, ammonia nitrogen emission, air environment, smoke (powder) dust emission, solid waste, urban environment and rural environment. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The dataset contains 13 data tables, which are: Basic information on Environmental Protection 2013-2014. XLS Basic information on Environmental Protection 2014-2015 XLS Basic information on Environmental Protection 2016-2017. XLS Basic information on Environmental Protection 2019-2020.xls Basic information on Environmental Protection in 2016.xls Basic information on environment 2005-2006. XLS Basic information on environment 2005-2007. XLS Basic information on environment 2005-2008. XLS Basic information on environment 2006-2009. XLS Basic information on environment 2007-2010. XLS Basic information on environment 2008-2011. XLS Basic information on environment 2009-2012. XLS Basic information on environment 2010-2013. XLS The data table structure is the same. For example, basic Information on environmental Protection 2013-2014 data table has four fields: Field 1: indicator Field 2: item Field 3:2013 Field 4:2014
Qinghai Provincial Bureau of Statistics
This data set records the statistical bulletin of national economic and social development of Guoluo Tibetan Autonomous Prefecture in Qinghai Province in 2019. The data is collected from the Statistics Bureau of Qinghai Province. The data set contains a word file, which is the statistical bulletin of national economic and social development of goluo Tibetan Autonomous Prefecture in Qinghai Province in 2019. The contents of the communique cover the total economic volume and structure of the whole Prefecture, the development of agriculture and animal husbandry, the development of industry, the investment in fixed assets, the trade and price situation, the financial situation, the development of transportation, posts and telecommunications and tourism, the environmental protection and forestry, the development of education, science and technology, the culture and health of the whole Prefecture The state of the enterprise, the state of the population, people's life and social security development, etc.
Qinghai Provincial Bureau of Statistics
This data set records the bulletin of land greening status of Qinghai Province from 2014 to 2018. The data is collected from Qinghai Forestry and grass Bureau. The data set contains five word files, which are: 2014 Qinghai provincial land greening Status Bulletin, 2015 Qinghai provincial land greening Status Bulletin, 2016 Qinghai provincial land greening Status Bulletin, 2017 Qinghai provincial land greening Status Bulletin, 2018 Qinghai provincial land greening Status Bulletin. The contents of the communique released the continuous and in-depth implementation of the nationwide voluntary tree planting activities, the new achievements in the improvement of the quality and increment of forestry projects, the new achievements in the greening of key areas, the new progress in the greening work of departments, the strong promotion of forestry reform, the vigorous development of forestry industry, the construction of nature reserves and the protection of wild animals and plants, and the protection of wetland resources The management and management of forest resources, the management and protection of forest resources, the prevention and control of desertification, the management of forestry science and technology and the promotion of technology, etc
Qinghai Forestry and Grassland Bureau
According to the characteristics of the Qinghai Tibet Plateau and the principles of scientificity, systematization, integrity, operability, measurability, conciseness and independence, the human activity intensity evaluation index system suitable for the Qinghai Tibet Plateau has been constructed, which mainly includes the main human activities such as agricultural and animal husbandry activities, industrial and mining development, urbanization development, tourism activities, major ecological engineering construction, pollutant discharge, etc, On the basis of remote sensing data, ground observation data, meteorological data and social statistical yearbook data, the positive and negative effects of human activities are quantitatively evaluated by AHP, and the intensity and change characteristics of human activities are comprehensively evaluated. The data can not only help to enhance the understanding of the role of human activities in the vegetation change in the sensitive areas of global change, but also provide theoretical basis for the sustainable development of social economy in the Qinghai Tibet Plateau, and provide scientific basis for protecting the ecological environment of the plateau and building a national ecological security barrier.
ZHANG Haiyan, XIN Liangjie, FAN Jiangwen, YUAN Xiu
The data set records the landscape situation of Xining City in Qinghai Province from 1952 to 2013, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set contains 16 data tables, which are: landscape situation of Xining City 1952-2003.xls, landscape situation of Xining City 1985-1998.xls, landscape situation of Xining City 1985-1999.xls, landscape situation of Xining City 1985-2000.xls, landscape situation of Xining City 1985-2001.xls, landscape situation of Xining City 1985-2002.xls, the main years of Xining city landscape Xls, the main year of Xining City Landscaping 1978-2005.xls, the main year of Xining City Landscaping 1985-2004.xls, the main year of Xining City Landscaping 1985-2006.xls, the main year of Xining City Landscaping 1985-2007.xls, the main year of Xining City Landscaping 1985-2008.xls, the main year of Xining city landscaping Xls, the main years of landscape greening in Xining city from 1990 to 2010. XLS, the main years of landscape greening in Xining city from 1995 to 2011. XLS, the main years of landscape greening in Xining city from 2000 to 2013. XLS. The data table structure is the same. For example, there are nine fields in the data table from 1952 to 2003 Field 1: Category Field 2: 1985 Field 3: 1990 Field 4: 1995 Field 5: 1998 Field 6:2000 Field 7:2001 Field 8:2002 Field 9:2003
Qinghai Provincial Bureau of Statistics
This dataset includes the maximum normalized vegetation index (NDVI) data from 1982 to 2015, the maximum enhanced vegetation index (EVI) data from 2000 to 2020, and the land cover change (LUCC) data from 2001 to 2019 in the China-Mongolia-Russia Economic Corridor (CMREC). Among these, NDVI data was extracted from GIMMS satellite data with a resolution of 8 km; EVI and LUCC data were extracted from MODIS satellite data (MOD13A3 and MCD12C1) with a resolution of 1 km and 5 km, respectively. The dataset filters the outliers or missing values in the original data, which is of higher quality than the source data. Meanwhile, we adopted the maximum value composite (MVC) method to process NDVI and EVI data to obtain the annual maximum NDVI and EVI, which can better reflect the vegetation distribution and change in CMREC over the past several decades. The spatio-temporal changes of vegetation and land use extracted from satellite remote sensing data will provide scientifical guidance for the risk control and prevention of the ecological environment change in CMREC.
ZHANG Xueqin
The data includes ecological policy documents after 1979, involving laws, regulations, terms and schemes on Ecological Governance and ecological management at the national and local government levels. The data combed the evolution process of the country in ecological and environmental governance, as well as the environmental strategies established in different development periods. The research group collected various documents of ecological policies on the government's official website and local yearbooks every year from 2018 to 2021. In order to ensure the relative integrity and pertinence of the data, this study sorted and selected the policy texts according to the following principles: ① the main sources of policies are the government's official website and its subordinate departments; ② Documents in line with ecological policies; ③ Select laws and regulations, plans, opinions, methods, detailed rules, regulations, announcements, notices, resolutions and other documents reflecting ecological environment policies. Construct the categories of the policy documents studied, that is, determine the perspective of analyzing the policy text, and define the primary and secondary categories, so that the chief coder and sub coder can understand it uniformly; ② Code the policies one by one after preparing the coding table according to the main category, that is, after carefully reading the policy content, if its content meets the analysis dimension required by the category construction table, fill its code into the coding table; ③ The data of this study is based on the official website and field policy research, which can effectively distinguish the contents of categories involved in the policy text. Therefore, the content analysis of this study has a good level of validity The innovation and evolution of policies change the impact of human activities on the environment to a certain extent, and the guidance and impact of ecological policies on environmentally vulnerable areas are more obvious. If we can fully grasp the dynamic change process of ecological policies and understand the evolution law of ecological policies, we can formulate ecological policies conducive to improving the environment, This paper studies the evolution law of Qilian mountain ecological policy issued since 1979 by using the content analysis method, in order to provide a scientific basis for the formulation of Qilian mountain ecological policy
DING Wenguang , XIE Shuntao
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
The data sources of this dataset mainly include domestic satellite images such as HJ-1A/B, GF-1/2, ZY-3, and Landsat TM/ETM+/OLI series satellite image data. Using the domestic satellite images supplemented by Google Earth images to generate the component training sample and validation sample data of different geographical divisions. Using Google Earth Engine (GEE) to test and correct the model algorithm parameters. The normalized settlement density index (NSDI) is obtained based on random forest algorithm, Landsat TM/ETM+/OLI series satellite images and auxiliary data. The vector boundary of urban built-up area is obtained by density segmentation method after manual interactive interpretation and correction. The NSDI, vegetation coverage index and vector boundary of the Tibetan Plateau are used to produce the original data of urban impervious surface and urban green space fractions in the Tibetan Plateau. After correction and accuracy evaluation, the datasets of urban impervious surface area and green space fractions in the Tibetan Plateau from 2000 to 2020 are generated. The resolution of the data product is 30 m, and the coordinate system and storage format of the data files are unified. The geographic coordinate system is WGS84, the projected coordinate system is Albers, and the data storage format is GeoTIFF, the data unit is percentage (the value range is 0~10000), and the scale factor is 0.01. In order to quantify the change of urban land cover more accurately, samples from several typical cities are selected to verify the dataset. The specific verification methods and accuracy are shown in the published results. The data can be used to analyze and reveal the impact of land cover change and future scenario simulation on the Tibetan Plateau, to provide a scientific basis for building environmentally livable cities and improving the quality of human settlements on the Tibetan Plateau.
KUANG Wenhui, GUO Changqing, DOU Yinyin
Ecosystem services are many benefits provided by ecosystem for human beings. Soil conservation, as one of the main regulating services provided by terrestrial ecosystem, is an important guarantee to prevent regional land degradation and reduce the frequency of flood disasters. Soil conservation (SC) is often used to evaluate. As an important part of the national ecological security strategy, it is of far-reaching significance to explore the spatial and temporal distribution of soil conservation in the Qinghai Tibet plateau for the construction of ecological civilization and sustainable development in China. Based on the modified universal soil loss equation (RUSLE), the 8 km resolution soil conservation data set (1990-2015) of the Qinghai Tibet Plateau was generated using GIMMS NDVI 3gv1.0 data, aster GDEM, meteorological stations and Chinese soil data set.
WANG Xiaofeng
"Coupling and Evolution of Hydrologic -Ecologic-Economic Processes of the Heihe River Basin Under the Framework of Water Rights" (91125018) Project data collection 1 - SWater Resources Improvement Plan of Shiyang River Basin 1. Data Overview:The improvement plan of Shiyang River Basin was implemented in 2007 for river basin comparison. 2. Data Content: The released plan.
WANG Zhongjing
The data include the datasets of temporal changes in water level, water storage and area of the Aral sea (1911−2017), the inter-decadal change of ecosystem structure (NDVI—Normalized Difference Vegetation Index) of the Aral sea (1977−2017), and dust intensity (EDI—Enhanced Dust Index) in the Aral sea (2000−2018). Using data fusion technology in the construction of a lake basin terrain, terrain based on remote sensing monitoring and field investigation, on the basis of the analysis of the Aral sea terrain data, generalized analyses the water - area - the changes of water content, the formation of water - water - area of temporal variation data set, can clearly reflect the Aral sea water change process and the present situation, provide basic data for the Aral sea environmental change research. The NDVI was used to reflect the vegetation ecology in the receding area. Landsat satellite data, with a spatial resolution of 30 m, was used for NDVI analysis in 1977, 1987, 1997, 2007, and 2017. Based on ENVI and GIS software, remote sensing image fusion, index calculation, and water extraction were used to determine the lake surface and lakeshore line of the Aral sea. The lakeside line in the south of the Aral sea is taken as the starting point, and it extends for 3 km to the receding area. The variation characteristics of vegetation NDVI in the lakeside zone within 0-3 km are obtained to reflect the structural changes of the lakeside ecosystem. EDI was extracted from MODIS image data. This index is introduced into the dust optical density to enhance the dust information to form the enhanced dust index. Based on remote sensing monitoring, the use of EDI, established the Aral sea area-EDI index curve, the curve as the construction of the Aral sea dry lake bed dust release and meteorological factors, quantitative relationship laid the foundation of soil physical and chemical properties, in order to determine the control of sand/salt dust in the reasonable area of the lake.
LUO Yi, ZHENG Xinjun, HUANG Yue, JILILI Abuduwaili
This data is the land cover data at 30m resolution of Southeast Asia in 2015. The data format of the data is NetCDF, and the variable name is "land cover type". The data was obtained by mosaicing and extracting the From-GLC data. Several land cover types, such as snow and ice that do not exist in Southeast Asia were eliminated.The legend were reintegrated to match the new data. The data provide information of 8 land cover types: cropland, forest, grassland, shrub, wetland, water, city and bare land. The overall accuracy of the data is 71% (Gong et al., 2019). The data can provide the land cover information of Southeast Asia for hydrological models and regional climate models.
LIU Junguo
The data set records the urbanization rate data of each state of kazakhstan from 2000 to 2018.The data is from kazakhstan's national statistics bureau. Urbanization is a concept with broad implications.In a narrow sense, it generally refers to the urbanization of population, which refers to the increase of the number of cities and the expansion of the urban scale, and the process of population aggregation to cities in a certain period.Urbanization rate refers to the proportion of permanent urban residents in a region in the total permanent resident population.The name of the original index is Russian, which has been translated and edited.The accuracy of the official data can provide basic data basis for the study of the socio-economic development of central Asian countries.
HUANG Jinchuan, MA Haitao
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