Food consumption is not only an important indicator to determine the carrying capacity of land resources, but also an important basis to reflect residents' living standards. The food consumption data of the Qinghai Tibet Plateau is based on the data of the Tibet statistical yearbook to sort out the main types and consumption of food in urban and rural areas, such as the consumption of grain, meat, eggs and milk; Combined with the questionnaire survey data of typical counties, the type and quantity data of food consumption in typical counties are statistically sorted out. The data set includes: (1) urban and rural food consumption data on the Qinghai Tibet Plateau; (2) Consumption data of typical counties in Qinghai Tibet Plateau. The data can be used to analyze the spatial differences of food consumption in the Qinghai Tibet Plateau, which is of great significance to the study of land carrying capacity in the Qinghai Tibet Plateau.
YANG Yanzhao
The data set is based on the NPP simulated by 16 dynamic global vegetation models (TRENDY v8) under S2 Scenario (CO2+Climate) and represents the net primary productivity of the ecosystem. Data was derived from Le Quéré et al. (2019). The range of source data is global, and the Qinghai Tibet plateau region is selected in this data set. Original data is interpolated into 0.5*0.5 degree by the nearest neighbor method in space, and the original monthly scale is maintained in time. The data set is the standard model output data, which is often used to evaluate the temporal and spatial patterns of gross primary productivity, and compared with other remote sensing observations, flux observations and other data.
STEPHEN Sitch
The data set is based on the GPP simulated by 16 dynamic global vegetation models (TRENDY v8) under S2 Scenario (CO2+Climate) and represents the gross primary productivity of the ecosystem. Data was derived from Le Qu é r é Et al. (2019). The range of source data is global, and the Qinghai Tibet plateau region is selected in this data set. Original data is interpolated into 0.5*0.5 degree by the nearest neighbor method in space, and the original monthly scale is maintained in time. The data set is the standard model output data, which is often used to evaluate the temporal and spatial patterns of gross primary productivity, and compared with other remote sensing observations, flux observations and other data.
STEPHEN Sitch
Grassland actual net primary production (NPPa) was calculated by CASA model. CASA model was calculated with the combination of satellite-observed NDVI and climate (e.g. temperature, precipitation and radiation) as the driving factors, and other factors, such as land-use change and human harvest from plant material, were reflected by the changes of NDVI. CASA NPP was determined by two variables, absorbed photosynthetically active radiation’ (APAR) and the light-use efficiency (LUE). Grassland potential net primary production (NPPp) was calculated by TEM model. TEM is one of process-based ecosystem model, which was driven by spatially referenced information on vegetation type, climate, elevation, soils, and water availability to calculate the monthly carbon and nitrogen fluxes and pool sizes of terrestrial ecosystems. TEM can be only applied in mature and undisturbed ecosystem without take the effects of land use into consideration due to it was used to make equilibrium predications. Grassland potential aboveground biomass (AGBp) was estimated by random forest (RF) algorithm, using 345 AGB observation data in fenced grasslands and their corresponding climate data, soil data, and topographical data.
NIU Ben, ZHANG Xianzhou
(1) This data set is the carbon flux data set of Shenzha alpine wetland from 2016 to 2019, including air temperature, soil temperature, precipitation, ecosystem productivity and other parameters. (2) The data set is based on the field measured data of vorticity, and adopts the internationally recognized standard processing method of vorticity related data. The basic process includes: outlier elimination coordinate rotation WPL correction storage item calculation precipitation synchronization data elimination threshold elimination outlier elimination U * correction missing data interpolation flux decomposition and statistics. This data set also contains the model simulation data calibrated based on the vorticity correlation data set. (3) the data set has been under data quality control, and the data missing rate is 37.3%, and the missing data has been supplemented by interpolation. (4) The data set has scientific value for understanding carbon sink function of alpine wetland, and can also be used for correction and verification of mechanism model.
Da Wei
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.
This data contains part of the economic indicators of Qinghai province and Tibet Autonomous Region. The data statistics based on provinces can be used to construct the evaluation index system for the coupling coordination relationship between urbanization and eco-environment on the Tibetan Plateau. The data of the Tibet Autonomous Region contains seven indicators, including the gross domestic product (GDP), the primary, secondary and tertiary industries, industry, construction industry, and the per capita GDP, the time span is 1951-2016. The time span of the data set of Qinghai province is from 1952 to 2015, besides the above seven indicators, there is one more indicator of Qinghai province called agriculture forwdtry animal husbandry and fishery. All data are derived from the statistical yearbook, which is calculated at current prices. The gross domestic product (GDP) for 2005-2008 has been revised based on data from the second economic census.
DU Yunyan
This data set contains information on natural disasters in Qinghai over nearly 50 years, including the times, places and the consequences of natural disasters such as droughts, floods, hail, continuous rain, snow disasters, cold waves and strong temperature drops, low temperature freezing injuries, gales and sandstorms, pest plagues, rats, and geological disasters. Qinghai Province is located in the northeastern part of the Tibetan Plateau and has a total area of 720,000 square kilometers. Numerous rivers, glaciers and lakes lie in the province. Because two mother rivers of the Chinese nation, the Yangtze River and the Yellow River, and the famous international river—the Lancang River—originated here, it is known as the "Chinese Water Tower"; there are 335,000 square meters of available grasslands in the province, and the natural pasture area ranks fourth in the country after those of Inner Mongolia, Tibet and Xinjiang. There are various types of grasslands, abundant grassland resources, and 113 families, 564 genera and 2100 species of vascular plants, which grow and develop under the unique climatic condition of the Tibetan Plateau and strongly represent the characteristics of the plateau ecological environment. As the main part of the Tibetan Plateau, Qinghai Province is one of the centers of the formation and evolution of biological species in China. It is also a sensitive area and fragile zone for the study of climate and ecological environment in the international field of sciences and technology. The terrain and land-forms in Qinghai are complex, with interlaced mountains, valleys and basins, widely distributed snow and glaciers, the Gobi and other deserts and grassland. Complex terrain conditions, high altitudes and harsh climatic conditions make Qinghai a province with frequent meteorological disasters. The main meteorological disasters include droughts, floods, hail, continuous rain, snow disasters, cold waves and strong temperature drops, low temperature freezing injuries, gales and sandstorms. The data are extracted from the Qinghai Volume of Chinese Meteorological Disaster Dictionary, with manual entry, summarizing and proofreading.
Qinghai Provincial Bureau of Statistics
The data set contains agricultural economic data of all counties and regions in the Tibetan Plateau in 1980-2015, and covering the total number of households and total population in rural areas, agricultural population, rural labor force, cultivated land, paddy field area, the dry land area, power of agricultural machinery, agricultural vehicles, mechanical ploughing area, irrigation area, consumption of chemical fertilizers electricity use, gross output value of agriculture, forestry, animal husbandry and fishery, the output of cattle, pig, sheep, meat, poultry, and fish, the sown area of grain, the output of grain, cotton, oil and all kinds of crops, and characteristic agricultural products and livestock production and other relevant data.The data came from the statistical yearbook of the provinces included in the Tibetan Plateau.The data are of good quality and can be used to analyze the socio-economic and agricultural development of qinghai-tibet plateau.
LV Changhe
This data set contains statistical tables on the community situation of each county in Three-River-Source National Park. The specific contents include: Table 1 includes: number of administrative villages, number of natural villages, number of households, population, number of rural labor force, total value of primary and secondary industries, net income per capita, and number of livestock. Table 2 includes: the ethnic composition of the population (population of each ethnic group), education-related statistics (number of primary and secondary schools and number of students), health-related statistics (number of hospitals, health rooms and medical personnel), and statistics on the education level of the population (number of people with different education levels); Table 3 includes: the grassland (total grassland area, usable grassland area, moderately degraded area and grassland vegetation coverage), woodland (total area, arbor forest area, shrub forest area and sparse forest area), water area (total area, river area, lake area, glacier area, snowy mountain area and wetland area). A total of four counties were designed: Maduo, Qumalai, Zaduo and Zhiduo. This data comes from statistics of government departments.
National Bureau of Statistics
This data set contains the time series data on the total retail sales of consumer goods, total amount of wholesale retail trade, and the total retail sales in the accommodation, catering and other industries. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. The table contains 5 fields. Field 1: Year of the data Field 2: Total retail sales of consumer goods, unit: 10,000 yuan Field 3: The total amount of wholesale retail trade, unit: 10,000 yuan Field 4: The total retail sales in the accommodation and catering industries, unit: 10,000 yuan Field 5: The total retail sales of other industries, unit: 10,000 yuan
Qinghai Provincial Bureau of Statistics
The data set contains three tables: the crop yield in each county, the per capita production of industrial and agricultural products, and the main crop yield. It recorded the sequence data of major crops, grain, oilseed, fruits, meat and eggs, major industrial products, aluminum, crude oil, steel, cement and power generation in Qinghai from 1978 to 2015. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of statistics of enterprises in each county contains 5 fields. Field 1: Districts and counties Field 2: Year Field 3: The number of industrial enterprises above state designated scale Field 4: Total output value of industrial enterprises above state designated scale Field 5: Urban completed investment in fixed assets Unit: 10 thousand yuan Table 2: The table of overview of the foreign investment use contains 4 fields. Field 1: Year Interpretation: year of the data Field 2: Foreign investment project Interpretation: The number of foreign investment projects Field 3: Foreign investment amount Interpretation: Foreign investment amount Unit： 10,000 dollars Field 4: Actually used amount Interpretation: Actually used foreign investment amount Unit： 10,000 dollars
Qinghai Provincial Bureau of Statistics
The data set recorded the sequence data of penned livestock number, full-grown livestock number, and outputs of meat, eggs, milk, wool and woolen products from 1978 to 2016.The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The data set contains three tables: livestock feeding status, main livestock products output, and number of full-grown livestock. Table 1: The table of livestock feeding status contains 7 fields. Field 1: Year Interpretation: Year of the data Field 2: Year-end penned large livestock Interpretation: Number of year-end penned large livestock Unit: 10,000 Field 3: Cattle Interpretation: Number of year-end penned cattle Unit: 10,000 Field 4: Horse Interpretation: Number of year-end penned horses Unit: 10,000 Field 5: Goat Interpretation: Number of year-end penned goats Unit: 10,000 Field 6: Sheep Interpretation: Number of year-end penned sheep Unit: 10,000 Field 7: Pig Interpretation: Number of year-end penned pigs Unit: 10,000 Table 2: The table of full-grown livestock number contains 5 fields. Field 1: Year Interpretation: Year of the data Field 2: Number of full-grown large livestock Unit: 10,000 Field 3: Number of full-grown goats Unit: 10,000 Field 4: Number of full-grown pigs Unit: 10,000 Field 5: Number of full-grown poultry Unit: 10,000 Table 3: The table of main livestock products output contains 14 fields. Field 1: Year Interpretation: Year of the data Field 2: Total output of meat Interpretation: Total output of meat Unit: ton Field 3: Pork Interpretation: Pork output Unit: ton Field 4: Beef Interpretation: Beef output Unit: ton Field 5: Mutton Interpretation: Mutton output Unit: ton Field 6: Other kinds of meat Interpretation: Output of other kinds of meat Unit: ton Field 7: Milk Interpretation: Output of milk Unit: ton Field 8: Cow milk Interpretation: Output of cow milk Unit: ton Field 9: Wool Interpretation: Output of wool Unit: ton Field 10: Sheep wool Interpretation: Output of sheep wool Unit: ton Field 11: Cashmere Interpretation: Output of cashmere Unit: ton Field 12: Cattle hair and villus Interpretation: Output of cattle hair and villus Unit: ton Field 13: Honey Interpretation: Output of honey Unit: ton Field 14: Poultry eggs Interpretation: Output of poultry eggs Unit: ton
Qinghai Provincial Bureau of Statistics
The data set contains the Chinese name, English name and the affiliation between the districts and counties in each administrative division of Qinghai. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. Table 1: The table of administrative divisions in Qinghai has 5 fields. Field 1: Regions Interpretation: Chinese names of the regions Field 2: English names of the regions Interpretation: English names of the regions Field 3: Districts and counties Interpretation: Chinese names of the districts and counties Field 4: English names of the districts and counties Interpretation: English names of the districts and counties Field 5: Land area Unit: square kilometers Table 2: The table of division changes of each county has 5 fields. Field 1: Districts and counties Field 2: Year Field 3: Area Unit: square kilometers Field 4: Number of townships Field 5: Number of Village Committees
Qinghai Provincial Bureau of Statistics
The data set includes the average temperature data of main areas in Qinghai Province such as Xining, Haidong, Menyuan, Huangnan, Hainan, Guoluo, Yushu and Haixi from 1998 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and the Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbook. The data table records the monthly and annual average wind speed in eight regions of Qinghai. Unit: Celsius. The data set is mainly applied in geography and socioeconomic research.
Qinghai Provincial Bureau of Statistics
This data set contains the results of the calculation of Net Primary Productivity (NPP) on the Tibetan Plateau based on ecological models and remote sensing data from 1982 to 2006. Ecosystem NPP of the Tibetan Plateau was generated based on the remote sensing Advanced Very High Resolution Radiometer (AVHRR) data and the Carnegie-Ames-Stanford Approach (CASA) model(1982-2006), the soil carbon content was generated based on the second soil census data, and the biomass carbon data were generated based on the High Resolution Biosphere Model (HRBM) model. Forest ecosystem NPP of the Tibetan Plateau (1982-2006): npp_forest82.e00，npp_forest83.e00，npp_forest84.e00，npp_forest85.e00，npp_forest86.e00， npp_forest87.e00，npp_forest88.e00，npp_forest89.e00，npp_forest90.e00，npp_forest91.e00， npp_forest92.e00，npp_forest93.e00，npp_forest94.e00，npp_forest95.e00，npp_forest96.e00， npp_forest97.e00，npp_forest98.e00，npp_forest99.e00，npp_forest00.e00，npp_forest01.e00， npp_forest02.e00，npp_forest03.e00，npp_forest04.e00，npp_forest05.e00，npp_forest06.e00 Grassland ecosystem NPP of the Tibetan Plateau(1982-2006)： npp_grass82.e00，npp_grass83.e00，npp_grass84.e00，npp_grass85.e00，npp_grass86.e00， npp_grass87.e00，npp_grass88.e00，npp_grass89.e00，npp_grass90.e00，npp_grass91.e00， npp_grass92.e00，npp_grass93.e00，npp_grass94.e00，npp_grass95.e00，npp_grass96.e00， npp_grass97.e00，npp_grass98.e00，npp_grass99.e00，npp_grass00.e00，npp_grass01.e00，npp_grass02.e00，npp_grass03.e00，npp_grass04.e00，npp_grass05.e00，npp_grass06.e00. Biomass carbon and soil carbon of the Tibetan Plateau： Biomass.e00，Socd.e00. The soil carbon content data （Socd） are generated based on data of the second soil census of China and Soil Map of China (1:1,000,000) by soil subclass interpolation. The NPP data are generated from the CASA model and AVHRR data simulation: Potter CS, Randerson JT, Field CB et al. Terrestrial ecosystem production: a process model based on global satellite and surface data. Global Biogeochemical Cycles, 1993, 7: 811–841. The biomass carbon data are generated via HRBM model simulation： McGuire AD, Sitch S, et al. Carbon balance of the terrestrial biosphere in the twentieth century: Analyses of CO2, climate and land use effects with four process-based ecosystem models. Global Biogeochem. Cycles, 2001, 15 (1), 183-206. The raw data are mainly remote sensing data and field observation data with high accuracy; the verification and adjustment of the measured data in the field during the production were undertaken to maintain the error of the simulation results and the field measured data within the acceptable range as much as possible; the verification results of the NPP data and the field measured data show that the error remains within 15%. The spatial resolution is 0.05°×0.05° (longitude×latitude).
ZHOU Caiping
This data set contains time series data on the total planting area, planting area of various grain crops and cash crops, and planting area of vegetables from 1978 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of total crop planting area contains 9 fields. Field 1: Year of the data Field 2: The total planting area of crops, unit: 1000 hectares Field 3: Planting area of grain crops, unit: 1000 hectares Field 4: Planting area of wheat, unit: 1000 hectares Field 5: Planting area of coarse crops, unit: 1000 hectares Field 6: Planting area of tuber crops, unit: 1000 hectares Field 7: Planting area of cash crops, unit: 1000 hectares Field 8: Planting area of oil crops, unit: 1000 hectares Field 9: Planting area of vegetables, unit: 1000 hectares Table 2: The table of the planting area in each county contains 4 fields. Field 1: Districts and counties Field 2: Year of the data Field 3: Total planting area of crops, unit: hectare Field 4: Planting area of grain crops, unit: hectare
Qinghai Provincial Bureau of Statistics
The data set records the sequence data of main crops, grain, oil, fruit, meat and eggs, and main industrial products, such as aluminium, crude oil, steel, cement and power generation in Qinghai Province from 1978 to 2016. Data are collected from the statistical yearbook: Qinghai Social and Economic Statistics Yearbook and Qinghai Statistical Yearbook, with the same accuracy as the statistical yearbook extracted from the data. The data set contains three tables: crop yield per county, per capita output of major agricultural products, and output of major agricultural products. Data Table 1: There are 17 fields in the data table of per capita output of major agricultural products Field 1: Year Interpretation: Year of Data Field 2: Food Interpretation: Per capita output of grain products is kilograms Field 3: Oil Interpretation: Per capita output of oil products is kg Field 4: Fruit Interpretation: Per capita output of fruit products is kg Field 5: Milk Interpretation: Milk product per capita output kg Field 6: Meat Interpretation: Meat product per capita output kg Field 7: Interpretation of beef and mutton: The per capita output of beef and mutton products is kg. Field 8: Wool Interpretation: Per capita output of wool products in kilograms Field 9: Aquatic product Interpretation: Aquatic product per capita output kg Field 10: Interpretation of raw salt: Per capita output of raw salt products is kilograms Field 11: Machine paper and cardboard explanation: Machine paper and cardboard products per capital output kilogram Field 12: Raw coal Interpretation: per capita output of raw coal products kilograms Field 13: Aluminum Interpretation: Per capita output of aluminium products in kilograms Field 14: Crude Oil Interpretation: Per capita output of crude oil products in kilograms Field 15: Generation Interpretation: Per capita Generation in kilowatt hours Field 16: Steel Interpretation: Per capita steel output per kilogram Field 17: Cement Interpretation: Per capita output of cement products is kg Data Table 2: Major Agricultural Products Output Data Table has 13 fields Field 1: Year Interpretation: Year of Data Field 2: 10,000 tons of grain Field 3: Ten thousand tons of Wheat Field 4: 10,000 tons of miscellaneous grain Field 5: Ten thousand tons of potatoes Field 6: 10,000 tons of oil Field 7: Ten thousand tons of rapeseed Field 8: 10,000 tons of vegetables Field 9: Fruit tonnes Field 10: Apple tons Field 11: Pear tonnes Field 12: Grape tonnes Field 13: Aquatic product output ton Data Table 3: There are 6 fields in the crop yield data table of each county. Field 1: District Field 2: Year Field 3: Total grain output ton Field 4: Cotton output ton Field 5: Oil output ton Field 6: Total Meat Production Tons
Qinghai Provincial Bureau of Statistics
This data set contains four tables: number of students per 10,000 people in Qinghai, basic situation of primary schools and general middle schools, and students statistics for each county. Time series data are recorded for students enrolled in various types of schools, number of teachers, number of school students, number of graduates, etc. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks. Table 1: The table of the number of school students per 10,000 people in Qinghai contains 6 fields. Field 1: Year of the data Field 2: Number of students in colleges and universities per 10,000 people Field 3: Number of students in secondary schools per 10,000 people Field 4: Number of students in specialized secondary schools per 10,000 people Field 5: Number of middle school students per 10,000 people Field 6: Number of primary school students per 10,000 people Table 2: The table of the basic situation of primary schools contains 7 fields. Field 1: Year of the data Field 2: The number of students graduating from primary schools, unit: 10,000 Field 3: The number of students enrolled in primary schools, unit: 10.000 Field 4: The number of students in primary schools, unit: 10.000 Field 5: The number of employees in primary schools, unit: 10.000 Field 6: The number of teachers in primary schools Field 7: The student-teacher ratio in primary schools Table 3: The table of the basic situation of general middle schools contains 7 fields. Field 1: Year of the data Field 2: The number of students graduating from general middle schools Field 3: The number of students enrolled in general middle schools Field 4: The number of students in general middle schools Field 5: The number of employees in general middle schools Field 6: The number of teachers in general middle schools Field 7: The student-teacher ratio in general middle schools Table 4: The table of student statistics for each county contains 7 fields. Field 1: Districts and counties Field 2: Year of the data Field 3: Number of students per 10,000 people Field 4: Number of students supervised by each teacher Field 5: Total number of school students Field 6: Number of school students in general middle schools Field 7: Number of school students in primary schools
Qinghai Provincial Bureau of Statistics
This data set contains sequence data of the number variation of livestock in the major cities and counties of the Tibetan Plateau from 1970 to 2006. It is used to study the social and economic changes of the Tibetan Plateau. The table has ten fields. Field 1: Year Interpretation: Year of the data Field 2: Province Interpretation: The province from which the data were obtained Field 3: City/Prefecture Interpretation: The city or prefecture from which the data were obtained Field 4: County Interpretation: The name of the county Field 5: Large livestock (10,000) Interpretation: The number of large livestock such as cattle, horses, mules, donkeys, and camels. Field 6: Cattle herd (10,000) Interpretation: Number of cattle Field 7: Equine animals(10,000) Interpretation: The number of equine animals such as horses, mules and donkeys. Field 8: Horses (10,000) Interpretation: The number of horses Field 9: Sheep (10,000) Interpretation: The number of sheep Field 10: Data Sources Interpretation: Source of Data The data come from the statistical yearbook and county annals. Some are listed as follows. [1] Gansu Yearbook Editorial Committee. Gansu Yearbook [J]. Beijing: China Statistics Press, 1984, 1988-2009 [2] Statistical Bureau of Yunnan Province. Yunnan Statistical Yearbook [J]. Beijing: China Statistics Press, 1988-2009 [3] Statistical Bureau of Sichuan Province, Sichuan Survey Team. Sichuan Statistical Yearbook [J]. Beijing: China Statistics Press, 1987-1991, 1996-2009 [4] Statistical Bureau of Xinjiang Uighur Autonomous Region . Xinjiang Statistical Yearbook [J]. Beijing: China Statistics Press, 1989-1996, 1998-2009 [5] Statistical Bureau of Tibetan Autonomous Region. Tibet Statistical Yearbook [J]. Beijing: China Statistics Press, 1986-2009 [6] Statistical Bureau of Qinghai Province. Qinghai Statistical Yearbook [J]. Beijing: China Statistics Press, 1986-1994, 1996-2008. [7] County Annals Editorial Committee of Huzhu Tu Autonomous County. County Annals of Huzhu Tu Autonomous County [J]. Qinghai: Qinghai People's Publishing House, 1993 [8] Haiyan County Annals Editorial Committee. Haiyan County Annals[J]. Gansu: Gansu Cultural Publishing House, 1994 [9] Menyuan County Annals Editorial Committee. Menyuan County Annals[J]. Gansu: Gansu People's Publishing House, 1993 [10] Guinan County Annals Editorial Committee. Guinan County Annals [J]. Shanxi: Shanxi People's Publishing House, 1996 [11] Guide County Annals Editorial Committee. Guide County Annals[J]. Shanxi: Shanxi People's Publishing House, 1995 [12] Jianzha County Annals Editorial Committee. Jianzha County Annals [J]. Gansu: Gansu People's Publishing House, 2003 [13] Dari County Annals Editorial Committee. Dari County Annals [J]. Shanxi: Shanxi People's Publishing House, 1993 [14] Golmud City Annals Editorial Committee. Golmud City Annals [J]. Beijing: Fangzhi Publishing House, 2005 [15] Delingha City Annals Editorial Committee. Delingha City Annals [J]. Beijing: Fangzhi Publishing House, 2004 [16] Tianjun County Annals Editorial Committee. Tianjun County Annals [J]. Gansu: Gansu Cultural Publishing House, 1995 [17] Naidong County Annals Editorial Committee. Naidong County Annals [J]. Beijing: China Tibetology Press, 2006 [18] Gulang County Annals Editorial Committee. Gulang County Annals [J]. Gansu: Gansu People's Publishing House, 1996 [19] County Annals Editorial Committee of Akesai Kazak Autonomous County. County Annals of Akesai Kazakh Autonomous County [J]. Gansu: Gansu People's Publishing House, 1993 [20] Minxian County Annals Editorial Committee. Minxian County Annals [J]. Gansu: Gansu People's Publishing House, 1995 [21] Dangchang County Annals Editorial Committee. Dangchang County Annals [J]. Gansu: Gansu Cultural Publishing House, 1995 [22] Dangchang County Annals Editorial Committee. Dangchang County Annals(Sequel) (1985-2005) [J]. Gansu: Gansu Cultural Publishing House, 2006 [23] Wenxian County Annals Editorial Committee. Wenxian County Annals[J]. Gansu: Gansu Cultural Publishing House, 1997 [24] Kangle County Annals Editorial Committee. Kangle County Annals [J]. Shanghai: Sanlian Bookstore. 1995 [25] County Annals Editorial Committee of Jishishan (Baoan, Dongxiang, Sala) Autonomous County. County Annals of Jishishan (Baoan, Dongxiang, Sala) Autonomous County[J], Gansu: Gansu Cultural Publishing House, 1998 [26] Luqu County Annals Editorial Committee. Luqu County Annals [J]. Gansu: Gansu People's Publishing House, 2006 [27] Zhouqu County Annals Editorial Committee. Zhouqu County Annals [J]. Shanghai: Sanlian Bookstore. 1996 [28] Xiahe County Annals Editorial Committee. Xiahe County Annals [J]. Gansu: Gansu Cultural Publishing House, 1999 [29] Zhuoni County Annals Editorial Committee. Zhuoni County Annals [J]. Gansu: Gansu Nationality Publishing House, 1994 [30] Diebu County Annals Editorial Committee. Diebu County Annals [J]. Gansu: Lanzhou University Press, 1998 [31] Pengxian County Annals Editorial Committee. Pengxian County Annals [J]. Sichuan: Sichuan People's Publishing House, 1989 [32] Guanxian County Annals Editorial Committee. Guanxian County Annals [J]. Sichuan: Sichuan People's Publishing House, 1991 [33] Wenjiang County Annals Editorial Committee. Wenjiang County Annals [J]. Sichuan: Sichuan People's Publishing House, 1990 [34] Shifang County Annals Editorial Committee. Shifang County Annals [J]. Sichuan: Sichuan University Press, 1988 [35] Tianquan County Annals Editorial Committee. Tianquan County Annals [J]. Sichuan: Sichuan Science and Technology Press, 1997 [36] Shimian County Annals Editorial Committee. Shimian County Annals [J]. Sichuan: Sichuan Cishu Publishing House, 1999 [37] Lushan County Annals Editorial Committee. Lushan County Annals [J]. Sichuan: Fangzhi Publishing House, 2000 [38] Hongyuan County Annals Editorial Committee. Hongyuan County Annals [J]. Sichuan: Sichuan People's Publishing House, 1996 [39] Wenchuan County Annals Editorial Committee. Wenchuan County Annals [J]. Sichuan: Bayu Shushe, 2007 [40] Derong County Annals Editorial Committee. Derong County Annals [J]. Sichuan: Sichuan University, 2000 [41] Baiyu County Annals Editorial Committee. Baiyu County Annals [J]. Sichuan: Sichuan University Press, 1996 [42] Batang County Annals Editorial Committee. Batang County Annals [J]. Sichuan: Sichuan Nationality Publishing House, 1993 [43] Jiulong County Annals Editorial Committee. Jiulong County Annals(Sequel) (1986-2000) [J]. Sichuan: Sichuan Science and Technology Press, 2007 [44] County Annals Editorial Committee of Derung-Nu Autonomous County Gongshan. County Annals of Derung-Nu Autonomous County Gongshan [J]. Beijing: Nationality Publishing House, 2006 [45] Lushui County Annals Editorial Committee. Lushui County Annals [J]. Yunnan: Yunnan People's Publishing House, 1995 [46] Deqin County Annals Editorial Committee. Deqin County Annals [J]. Yunnan: Yunnan Nationality Publishing House, 1997 [47] Yutian County Annals Editorial Committee. Yutian County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 2006 [48] Cele County Annals Editorial Committee. Cele County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 2005 [49] Hetian County Annals Editorial Committee. Hetian County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 2006 [50] Qiemo County Local Chronicles Editorial Committee. Qiemo County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1996 [51] Shache County Annals Editorial Committee. Shache County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1996 [52] Yecheng County Annals Editorial Committee. Yecheng County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1999 [53] Akto County Local Chronicles Editorial Committee. Akto County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1996 [54] Wuqia County Local Chronicles Editorial Committee. Wuqia County Annals [J]. Xinjiang: Xinjiang People's Publishing House, 1995
National Bureau of Statics of China
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