This dataset was collected and predicted on the country scale, the data from 1992 to 2019/2020 were obtained from the FAOSTAT and resourcetrade.earth websites, and that from 2020/2021-2050 were predicted using the optimizing time-series method. Three types of data including the production, consumption and trade of major agricultural products were sorted, thereinto the production data inculde the total production, yield and harvested area of crops, vegetables and fruits, and total production of livestock (meat and milk). The concumption data include major food crops (wheat, rice, barley, maize and others), vegetables and fruits, and livestock (meat and milk). The trade data include the amounts and values of import and export from the three major agricultural products.
YANG Yonghui, HAN Shumin
This data set is based on the field survey data on farmland production, operation and management in Tibet's one river and two rivers region, Southeast Tibet, Sichuan Tibet East Hengduan Mountain Area in 2020. Sample selection: for the areas of one river and two rivers in Tibet, Southeast Tibet, and Hengduan Mountain Area in East Sichuan and Tibet, first, the typical sampling method is used to determine the sample counties, sample towns, and sample villages; Then, according to the basic situation of farmers, one sample Township and one sample village are selected from each county. Finally, one farmer is randomly selected from each sample village by using the random sampling method. The data set records the basic information of the investigated land, the basic information of the interviewed farmers, including education level, consumption level and other information, agricultural planting area, etc. The data set is the data obtained through field investigation and interview, which can be used to analyze the basic situation of agricultural planting on the Qinghai Tibet Plateau, and provide a theoretical basis for further improving the countermeasures and suggestions of government support policies.
TANG Yawei TANG Yawei
This dataset is based on the Tibet Statistical Yearbook and Qinghai Statistical Yearbook (2020). The two books contain statistical data on the economic and social development of the Tibet Autonomous Region and Qinghai Province since 2019, mainly from 1951 to 2020. Extract the agricultural aspects, from the basic situation of rural areas and agriculture, the basic situation of rural areas, rural employees, the total output value of agriculture, forestry, animal husbandry and fishery in sub-regional cities, the sown area of main crops, the output of main agricultural products, the output per unit area of main agricultural products, and the sown area of crops It is an important statistical data for people from all walks of life at home and abroad to understand the Qinghai-Tibet Plateau and the Qinghai-Tibet Plateau.
TANG Yawei TANG Yawei
This data comes from a random questionnaire survey conducted in the one-river-two-river region of Tibet, southeastern Tibet, and Hengduan mountainous area of eastern Sichuan and Tibet during July-August 2020. The data set mainly includes agricultural waste utilization data (straw utilization and livestock and poultry wastes). Utilization methods), straw utilization methods mainly include returning to the field, fuel, feed and compost, and livestock and poultry manure utilization methods mainly include fuel and fertilizer. The interviewees were mainly adults who were familiar with the family situation. In some villages, the output was calculated in small groups. The questionnaire design is based on the principles of scientificity, applicability, feasibility, typicality and specificity, and the "Household Questionnaire" is designed for the above areas. In order to ensure the reliability and validity of the questionnaire design content, the questionnaire was pre-investigated before the formal investigation, and there were problems in further modifying and improving the questionnaire. Before the official start of the questionnaire, the investigators were given the explanation of the content of the questionnaire and the training of investigation skills.
SONG Dagang SONG Dagang
The evaluation of the potential of cropland development under the influence of future climate change changes was carried out for the sustainable development of agriculture in five Central Asian countries, with cropland as the target. The evaluation factors of cropland development potential include: topographic factors (elevation, slope, slope direction, distance to water resources), soil factors (salinity, soil texture, soil organic matter content, soil pH), climate factors (rainfall, temperature, solar radiation), and economic factors (road density, population density). Using 2020 as the base year, the future potential for cropland development in Central Asia under the SSP5-8.5 scenario was estimated using the average precipitation and temperature from the ESM1 climate model in CMIP6, with other indicators held constant. The data provide evaluation results of the cropland development potential of the five Central Asian countries for the time periods 2020s, 2030s (2021-2040) and 2050s (2041-2060) with a spatial resolution of 0.01° × 0.01°. The dataset can provide basic data support for future land resource development and utilization and agricultural development in the five Central Asian countries.
JIANG Xiaohui, ZHANG Junjun
The population, grain, grain sown area and year-end data sets are extracted from the provincial and prefecture level statistical yearbooks of Qinghai, Tibet, Xinjiang, Gansu, Sichuan and Yunnan for many consecutive years. The missing data are interpolated as follows: 1. To ensure the accuracy of county data, Some counties and cities have been merged in this data (there may be errors in dividing and imputing the data for 20 years according to the proportion, but there will certainly be no problem in the merger, and the county area is small, so it is merged). 2. Xiahe County and cooperative city are merged into Xiahe County (cooperative city was separated from Xiahe County in 1998). 3. Gucheng district and Yulong County are merged into Gucheng district (Lijiang County was divided into Gucheng district and Yulong County in 2003). 4. The inner city district, East City District, West City District The four districts in Chengbei district have been merged into the district directly under the central government of Xining City (because the population of the four districts is given separately or the sum is given, and the total area of the four districts is only 487 square kilometers, they are merged). 5. For some missing data, curve fitting has been carried out in combination with similar years, and R2 is between 0.85-0.99. 6. In order to ensure the accuracy of the data, change maps have been prepared County by county
The ecological resource consumption data set of Qinghai Province includes the ecological resource consumption data of 2000-2019 at the provincial, municipal and county levels. According to the actual situation of Qinghai Province, the ecological resource consumption mainly refers to the amount of ecological resources consumed in agricultural and animal husbandry production activities. The calculation of ecological resource consumption is based on grain production data, livestock stock data and livestock product production data, combined with the evaluation method of human occupied net primary productivity (HANPP), convert the biomass data into carbon content data, and then calculate the ecological resource consumption. Ecological resource consumption data is the basic data for the study of ecological pressure and ecological carrying capacity, which can directly reveal the pressure of human agricultural and animal husbandry production activities on the ecosystem.
The food supply resilience of countries along the Belt and Road reflects the level of food supply resilience of the countries along the Belt and Road, and the higher the value of the data, the stronger the food supply resilience of the countries along the Belt and Road. The food supply resilience data products were prepared by referring to the FAO FAOSTAT database country-specific statistics, using year-by-year data on cereal production in countries along the Belt and Road from 2000 to 2019, and generating food supply resilience products through comprehensive diagnosis based on sensitivity and adaptation analysis, taking into account year-by-year changes. The grain supply resilience dataset for countries along the Belt and Road is an important reference for analysing and comparing the current state of grain supply resilience in each country.
Naked barley, called highland barley in Tibet, is the main crop of the Tibetan plateau and the main food of the Tibetan people. It has a long planting history, the largest planting area, the widest distribution and the highest planting ceiling. As for the autonomous region, the annual sown area and total grain output account for more than half of the total sown area and total grain output. In river valleys below 4,200 meters, they account for 30-50% of the area sown to local crops. In the alpine farming area of 4,200-4,500 meters above sea level, it accounts for 70-90% of the planting area of local crops. Naked barley is almost the only crop at agricultural sites above 4,500 meters. Tibetan bare barley has strong cold and drought resistance and ADAPTS to the plateau climate conditions. It is distributed in the vast agricultural areas and farming-pastoral interlacing areas from more than 1,000 meters to 4,500 meters above sea level. At present, the upper limit of planting reaches 4750 meters, which is the highest limit of crop distribution in Tibet. In 1974, a comprehensive scientific expedition to the Qinghai-Tibet Plateau entered Tibet from Sichuan province and carried out investigations along the route. During a survey of wild barley in Jitang district, Chaya County, Qamdo region, Tibetan members provided information about semi-wild wheat, which is similar to wheat in morphology but has broken cob at maturity, and is generally mixed with highland barley and wheat fields as a field weed. Plant specimens and seeds were collected. When the expedition team arrived at the Institute of Agricultural Science and Technology of Tibet Autonomous Region, they learned that comrades Cheng Tianqing and Dong Yuao had collected a kind of wheat with broken cob at maturity in SAN 'an Qu Lin, Longzi County, Shannan Prefecture in 1962, which belonged to the same type as the materials we had collected in other areas of Tibet. Later, in the Xigaze regional agricultural research institute, Comrade Tan Changhua said that he had also seen this kind of wheat when the cob broke at maturity in Renbu County. In addition to the above areas, this wild wheat was also found near Jiacha county, Gongga County and Longzi County in Shannan during this year's investigation. Currently known distribution areas include lancang River basin, Yarlung Zangbo River basin and Longzi River basin.
Agriculture in Tibet is concentrated in the valleys of the Yarlung Zangbo River in south Tibet and the Nu, Lancang and Jinsha Rivers in east Tibet. The agricultural area of the valley accounts for 75 percent of the total cultivated land area of the autonomous region, and the grain output accounts for more than 80 percent of the total grain output of the autonomous region. Wheat and naked barley (known as highland barley in Tibet) are the main grain crops in The Tibet Autonomous Region, with the perennial sown area accounting for more than 80% of the total sown area, while the wheat and naked barley in the valley agricultural areas account for 75% of the sown area and 82% of the total yield of the region. The agricultural area of the valley is located between 28 ° and 31° north latitude, 2700 -- 4100 meters above sea level. It belongs to the temperate climate of the plateau, with better soil and water conservancy conditions and higher crop yield. But before liberation, under the dark feudal serfdom, the people lived in extreme poverty, and agricultural production was very backward, with the yield of grain per mu only over 100 jin. After liberation, especially since 1972, winter wheat was widely promoted in the agricultural areas of the valley, which promoted the reform of the farming system and significantly increased grain output. In 1975, the total grain output of the region increased by more than 50 percent compared with 1965, and by more than 1.5 times that of 1958 before the democratic reform. In 1977, the area sown with winter wheat was nearly 700,000 mu, accounting for about 20 percent of the grain sown area. The planting area of winter wheat has expanded from areas with an altitude of less than 3,000 meters to areas with an altitude of less than 4,100 meters, and the Tibetan Plateau has developed from a historical area of spring wheat into an area where both spring and winter wheat are grown. In 1977, the average yield of winter wheat per mu in the agricultural areas of the valley exceeded 400 jin, and that of bare barley and spring wheat also reached 300 jin per mu.
Certain hydrothermal conditions and soil conditions are the basis of crop growth. The Tibetan Plateau covers a vast area, and the changes of altitude and surface form in different areas are extremely complex. Plateau climate and soil have obvious spatial changes, so the distribution of cultivated land and crops has a large regional. There are two groups of high mountain ranges running east-west and north-south in Tibet, forming the basic framework of the plateau. The vast plateau is distributed between the mountains, and there are many low mountains, hills, lake basins and valley inlaid in the meantime, the overall terrain of the whole region gradually picked up from the southeast to the northwest, the southeast is lower, the west, the north is higher. The majestic Himalayas stand on the southern and western borders of China and India, China and Nepal, China and Tin, China and Bhutan, and China and Pakistan. With a total length of 2,400 kilometers and a mountain width of 200-300 kilometers, and an average elevation of more than 6,000 meters, they constitute a natural barrier to the southern part of the Qinghai-Tibet Plateau. The warm and wet airflow in the Bay of Bengal is blocked by mountains. The climate on the southern slope of the Himalayas is warm and humid, while that on the northern foothills of the Himalayas is warm and cool and dry, forming two different climate regions on the southern and northern slopes. The south side of the Himalayas mountain rivers deep, mountain canyon landform. The valley is more than 3000 meters above sea level, and the climate is warm and humid. The soil types are rich, mainly including mountain yellow soil, mountain brown soil, mountain brown soil and mountain meadow soil, etc. The soil is acidic to neutral, and contains rich humus, high nitrogen content, coarse texture and good permeability. Abundant surface runoff, irrigation conditions are better. However, due to terrain limitations, most of the land cannot be used because the slope is greater than 25 degrees, and most of the land is covered by forests. Arable land is mainly distributed in the valley below 4000 meters, the area is very limited.
The data set of economic, population, and urbanization growth and change in Qilian mountain area includes the social and economic development indicators of 1949-2020 long-term time series of 5 prefecture-level cities and 14 districts and counties in the Qilian mountain basin, such as the added value of the tertiary industry, population scale, etc. They are the subsets of economic, population, and urbanization growth changes of prefecture-level cities in Qilian mountain and the subsets of county-level economic, population, and urbanization growth changes in Qilian mountain. The data comes from Gansu statistical yearbook, Wuwei statistical bulletin of national economic and social development, Zhangye statistical bulletin of national economic and social development, Jiuquan statistical bulletin of national economic and social development, Jinchang statistical bulletin of national economic and social development, Jiayuguan statistical bulletin of national economic and social development, and social development of Ejina Banner. Since the data source is the publicly released provincial and Municipal Statistical Yearbook, the data has not been cross verified, and the consistency and accuracy of the data need to be verified in the process of data analysis and application. The data set is a macro data set reflecting the growth and change of economy, population, and urbanization in Qilian mountain. It has complete coverage and long-time series. It can provide basic information for the social and economic development and change of Qilian mountain.
This data set includes the social, economic, resource and other relevant index data of Gansu, Qinghai, Sichuan, Tibet, Xinjiang and Yunnan in the Qinghai Tibet Plateau from 2000 to 2015. The data are derived from Gansu statistical yearbook, Qinghai statistical yearbook, Sichuan statistical yearbook, Xizang statistical yearbook, Xinjiang statistical yearbook, Yunnan statistical Yearbook China county (city) socio economic statistical yearbook And China economic network, guotai'an, etc. The statistical scale is county-level unit scale, including 26 county-level units such as Yumen City, Aksai Kazak Autonomous Region and Subei Mongolian Autonomous County in Gansu Province, 41 county-level units such as Delingha City, Ulan county and Tianjun County in Qinghai Province, 46 counties such as Shiqu County, Ruoergai County and ABA County in Sichuan Province, and 78 counties such as Ritu County, Gaize county and bango County in Tibet, 14 counties including Wuqia County, aktao county and Shache County in Xinjiang Province, and 9 counties including Deqin County, Zhongdian county and Fugong County in Yunnan Province; Variables include County GDP, added value of primary industry, added value of secondary industry, added value of tertiary industry, total industrial output value of Industrial Enterprises above Designated Size, total retail sales of social consumer goods, balance of residents' savings deposits, grain output, total sown area of crops, number of students in ordinary middle schools and land area. The data set can be used to evaluate the social, economic and resource status of the Qinghai Tibet Plateau.
This dataset was captured during the field investigation of the Qinghai-Tibet Plateau in June 2021 using uav aerial photography. The data volume is 3.4 GB and includes more than 330 aerial photographs. The shooting locations mainly include roads, residential areas and their surrounding areas in Lhasa Nyingchi of Tibet, Dali and Nujiang of Yunnan province, Ganzi, Aba and Liangshan of Sichuan Province. These aerial photographs mainly reflect local land use/cover type, the distribution of facility agriculture land, vegetation coverage. Aerial photographs have spatial location information such as longitude, latitude and altitude, which can not only provide basic verification information for land use classification, but also provide reference for remote sensing image inversion of large-scale regional vegetation coverage by calculating vegetation coverage.
LV Changhe, ZHANG Zemin
The supply capacity of land resources is an important index to determine the carrying capacity of land resources. The data set includes: (1) the supply capacity of cultivated land resources in the Qinghai Tibet Plateau; (2) Data on grassland resource supply capacity of Qinghai Tibet Plateau. The supply capacity of cultivated land resources is based on the output of main agricultural products of Tibet Bureau of statistics, and summarizes the output of grain, meat, eggs and dairy livestock products at key nodes; The grassland resource supply capacity is based on the grassland area and livestock quantity data of Tibet Bureau of statistics, combined with field sampling data and climate data, and based on the aboveground biomass model to calculate the average biomass and total biomass of grassland in typical counties at key nodes. The data can be used to analyze the spatial difference of land supply capacity of the Qinghai Tibet Plateau, which is of great significance to the study of land carrying capacity of the Qinghai Tibet Plateau.
1) Data content: the data are the ancient DNA data generated by studying the cultural layer of Klu lding site in Nyingchi region, Tibetan Plateau, including the hiseqx metagenomics data of 10 ancient DNA samples from 4 layers. It can be used to preliminarily analyze the changes of species composition recorded by ancient DNA in the sediments, and reveal the process of local agricultural development. 2) Data source and processing method: the research group has its ownership. the data were obtained by using pair-end library building and Illumina hiseqx sequencing platform. 3) Data quality: 20.3 MB, Q30 > 85%. 4) Application: The data will be used to explore the potential of the ancient DNA from archaeological sediments in revealing the development of ancient agriculture on the Tibetan Plateau.
The ecological resource consumption data set of Tibet includes the ecological resource consumption data of 2000-2019 at the provincial, city and county levels. According to the actual situation of Tibet, ecological resource consumption mainly refers to the amount of ecological resources consumed in agricultural and animal husbandry production activities. The calculation of ecological resource consumption is based on grain production data, livestock stock data and livestock product production data, combined with the evaluation method of human appropriation the net primary productivity (HANPP), convert biomass data into carbon content data, and then calculate the ecological resource consumption. Ecological resource consumption data is the basic data for the study of ecological pressure and ecological carrying capacity, which can directly reveal the pressure of human agricultural and animal husbandry production activities on the ecosystem.
The dataset recorded the output statistics of major crops in Qinghai province from 2007 to 2020, including wheat, highland barley, potato (fold grain), oil crops, wolfberry, vegetables and edible fungi, covering the period from 2007 to 2020. The dataset contains 13 data tables, which are: Crop yield (2007), crop yield (2008), crop yield (2009), crop yield (2010), crop yield (2011), crop yield (2012), crop yield (2013), crop yield (2014), crop yield (2015), Crop output (2016), crop output (2017), crop output (2018) Output of major crop products in Qinghai Province (2015-2020).xls. The data table structure is similar. For example, the crop yield (2007) data table has 4 fields: Field 1: Indicator name Field 2: Year 2006 Field 3: Year 2007 Field 4: increase or decrease
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set records the situation of breeding livestock and poultry farms and stations in Qinghai Province, and the statistical data covers the period from 2009 to 2018. The data are divided by cattle breeding farm, horse breeding farm, pig breeding farm, sheep breeding farm, poultry breeding farm, rabbit breeding farm, bee breeding farm and others. The data set contains 10 data tables, which are: breeding livestock and poultry stations (2009), breeding livestock and poultry stations (2010), breeding livestock and poultry stations (2011), breeding livestock and poultry stations (2012), breeding livestock and poultry stations (2013), breeding livestock and poultry stations (2014), breeding livestock and poultry stations (2015), breeding livestock and poultry stations (2016), breeding livestock and poultry stations (2017), Breeding livestock and poultry farms and stations (2018). The data table structure is similar. For example, there are 7 fields in the data sheet of breeding livestock and poultry farms and stations (2009): Field 1: indicator name Field 2: number of fields Field 3: year end inventory Field 4: breeding stock Field 5: breeding livestock and poultry in the current year Field 6: embryos produced in the current year Field 7: Semen produced in the current year
AGRICULTURAL AND RURAL Department of Qinghai Province