In order to explore how and when turnip was successfully domesticated the Qinghai-Tibet Plateau and what is the relationship between turnip domestication and early human settlement on the Qinghai-Tibetan Plateau and human migration along the ancient Silk Road, the whole genome De Novo sequencing of a self-bred F1 variety on Qinghai-Xizang Plateau was conducted, with the assembled genome size of 409.69 Mb,Contig N50 was 1.21 Mb in June 2018 using Pacbio sequencing. Those data will provide a genetic basis for elucidating the relationship between plant disperse and human activities. As we know, traditional turnip landrace is influenced by human domestication and nature selection. Hopefully, the study will help to understand the impacts of human selection on turnip genetic differentiation, and the adaptation mechanism of turnip in the Qinghai-Tibetan Plateau.
DUAN Yuanwen
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
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
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
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.
LU Jimei
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.
LU Jimei
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.
LU Jimei
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
ZHANG Lu
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.
HU Yunfeng
The Tibetan Plateau in China covers six provinces including Tibet, Qinghai, Xinjiang, Yunnan, Gansu and Sichuan, including Tibet and Qinghai, as well as parts of Xinjiang, Yunnan, Gansu and Sichuan. The research on water and soil resources matching aims to reveal the equilibrium and abundance of water resources and land resources in a certain regional scale. The higher the level of consistency between regional water resources and the allocation of cultivated land resources, the higher the matching degree, and the superior the basic conditions of agricultural production. The general agricultural water resource measurement method based on the unit area of cultivated land is used to reflect the quantitative relationship between the water supply of agricultural production in the study area and the spatial suitability of cultivated land resources. The Excel file of the data set contains the generalized agricultural soil and water resource matching coefficient data of the Tibetan Plateau municipal administrative region in China from 2008 to 2015, the vector data is the boundary data of the Tibetan Plateau municipal administrative region in China in 2004, and the raster data pixel value is the generalized agricultural soil and water resource matching coefficient of the year in the region.
DONG Qianjin, DONG Lingxiao
The data set records the statistical data of grassland type area and livestock carrying capacity in Haidong area of Qinghai Province in 1988 and 2012. The data are classified and counted according to the grassland group code, such as: I represents Alpine dry grassland, II represents mountain dry grassland, III represents Alpine desert, B represents medium grass group, J represents shrub group, etc, For specific grassland group type codes and their corresponding meanings, see "description of grassland group type codes in Qinghai Province. PDF" in the data set. The data are compiled from the grassland station of Qinghai Province and the grassland resources statistics of Qinghai Province issued in 1988 and 2012. The data set contains three data tables, which are: statistical data of grassland area and livestock carrying capacity of various types in Haidong area (1988), statistical data of grassland area and livestock carrying capacity in Haidong area (2012) and description of grassland group code in Qinghai Province. The data table structure is similar. For example, there are 8 fields in the statistical data (2012) of grassland type, area and livestock carrying capacity in Haidong area: Field 1: type code Field 2: grassland type name Field 3: grassland area Field 4: available area of grassland Field 5: average unit yield of fresh grass Field 6: average unit yield of edible fresh grass Field 7: stocking capacity Field 8: grassland type, etc
AGRICULTURAL AND RURAL Department of Qinghai Province
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.
XU Xinliang
The data of Land Resources Productivity for “B&R” includes: 1. Areas of cultivated land resources in regions and countries along the “B&R”; 2. Data on grain planting area and total grain output in regions and countries along the “B&R”; 3. Major crops (rice, wheat, corn) in regions and countries along the route Planting area and production data; 4. Areas of grassland resources in the region and along the country; 5. Number of livestock (bovine, sheep) in the region and along the country. Source: Cultivated land and population data from the World Bank database; food, crop, grassland, and livestock data are from FAO. Data application: According to the data provided, the basic characteristics analysis of land resources and the analysis of land resource output can be carried out in the Belt and Road region and the countries along the route, so that the land resource productivity evaluation analysis can be carried out.
YANG Yanzhao
The data set recorded the statistical data of crop sown area in Qinghai Province, covering the period from 1978 to 2020. Data is broken down by major years. The dataset contains 13 data tables, which are: Sown area of crops (2006), sown area of crops (2007), sown area of crops (2008), sown area of crops (2009), sown area of crops (2010), sown area of crops (2011), sown area of crops (2012), sown area of crops (2012), sown area of crops (2012), The sown area of crops (2013), the sown area of crops (2014), the sown area of crops (2015), the sown area of crops (2016), the sown area of crops (2017), the sown area of crops (2018), the sown area of crops (1978-2020). The data table structure is similar. For example, the sown area of crops (1978-2020) data table has 5 fields: Field 1: Year Field 2: Food crops Field 3: Wheat Field 4: miscellaneous grains Field 5: Roots
AGRICULTURAL AND RURAL Department of Qinghai Province
The data set recorded the statistical data of animal husbandry production in Qinghai Province, covering the period from 2004 to 2020. Data are divided by livestock, pigs, sheep, poultry, rabbits, bees and other items. The dataset contains 16 data tables, which are: Animal Husbandry Production (2006), Animal Husbandry production (2007), Animal husbandry production (2010), Animal husbandry production (2011), Animal husbandry production (2014), Animal husbandry production (2015), Animal husbandry production (2016), Animal husbandry production (2017), Animal Husbandry Production (2018), Animal Husbandry Production (Table II) (2004), Animal Husbandry Production (Table II) (2005), Animal Husbandry production (Table III) (2004), Animal Husbandry Production (Table I) (2004), Animal Husbandry Production (Table I) (2005), Qinghai Animal Husbandry Production and Output of Main Animal Products (2014-2019). XLS, Qinghai Animal Husbandry Production and Output of Main Animal Products (2015-2020). XLS. The data table structure is similar. For example, the livestock Production Table (2006) has five fields: Field 1: Item Field 2: Final number of stocks Field 3: Can breed females Field 4: Year of birth Field 5: Number of bars in the current year
AGRICULTURAL AND RURAL Department of Qinghai Province
This data set records the year-end ownership of agricultural machinery in Qinghai province from 1957 to 2020. Data in a diesel engine power, gasoline engine power, motor power and other mechanical power, large and medium-sized tractor (Taiwan), small tractors (ten thousand), large and medium-sized tractor supporting tools (Taiwan) and small tractor supporting tools (ten thousand), agricultural irrigation and drainage (Taiwan), combine harvester (Taiwan), mobile thresher (Taiwan), the farm transporter (car), fishing with machine Moving vessels (vessels) and irrigation and drainage facilities for agricultural use. The data are collected from qinghai Statistical Yearbook released by Qinghai Provincial Bureau of Statistics. The data set mainly contains 39 data tables, which are as follows: Annual ownership of agricultural machinery 1957-1998. XLS Annual agricultural machinery ownership 1957-1999. XLS Main years Agricultural machinery year-end ownership 1957-2000. XLS Main years Agricultural machinery year-end ownership 1957-2001. XLS Main years Agricultural machinery year-end ownership 1957-2002 XLS Annual ownership of agricultural machinery 1957-2004. XLS Main years Agricultural machinery year-end ownership 1957-2008. XLS Main years agricultural machinery year-end ownership 1957-2009. XLS Annual ownership of agricultural machinery 1957-2010. XLS Annual ownership of agricultural machinery 1957-2011. XLS Main years Agricultural machinery year-end ownership 1957-2006. XLS Main years Agricultural machinery year-end ownership 1957-2007. XLS Annual ownership of agricultural machinery 1965-2013. XLS Annual ownership of agricultural machinery 1965-2014. XLS Annual ownership of agricultural machinery 1965-2015. XLS Annual ownership of agricultural machinery 1965-2016. XLS Annual ownership of agricultural machinery 1965-2017. XLS Annual ownership of agricultural machinery 1965-2018. XLS Main years Agricultural machinery year-end ownership 1998-2005. XLS Annual ownership of agricultural machinery 1965-2012. XLS Main years and year-end ownership of agricultural machinery by region 1978-2003. XLS Year-end ownership of agricultural machinery 2000-2003. XLS Agricultural machinery year-end ownership 2000-2005. XLS Agricultural machinery year-end ownership 2000-2006. XLS Agricultural machinery year-end ownership 2000-2007. XLS Agricultural machinery year-end ownership 2004. XLS Agricultural machinery year-end ownership 2005-2009. XLS Agricultural machinery year-end ownership 2005-2010. XLS Agricultural machinery year-end ownership 2006-2011. XLS Agricultural machinery year-end ownership 2008-2012. XLS Agricultural machinery year-end ownership 2008. XLS Agricultural machinery year-end ownership 2009-2013. XLS Agricultural machinery year-end ownership 2009-2014. XLS Year-end ownership of agricultural machinery 2010-2015. XLS Year-end ownership of agricultural machinery 2011-2016. XLS Year-end ownership of agricultural machinery 2012-2017. XLS Year-end ownership of agricultural machinery 2013-2018. XLS Year-end ownership of agricultural machinery 2014-2019. XLS Year-end ownership of agricultural machinery 1965-2020. XLS The data table structure is similar. For example, the year-end ownership of agricultural machinery 2000-2003 data table has 6 fields: Field 1: indicator Field 2:2000 Field 3:2001 Field 4:2002 Field 5:2003 Field 6:2003 is % for 2002
Qinghai Provincial Bureau of Statistics
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
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