The data includes the county-level data of characteristic agriculture distribution in the Qinghai Tibet Plateau, which lays the foundation for the spatial distribution and development of characteristic agriculture in the Qinghai Tibet Plateau. The data are from the development plan of Tibet Plateau characteristic agricultural products base (2015-2020), Qinghai province's 13th five year plan, Sichuan Province's 13th five year plan for agricultural and rural economic development, Xinjiang Uygur Autonomous Region's 13th five year plan for targeted poverty alleviation of agricultural characteristic industries (2016-2020), Yunnan Province's overall plan for plateau characteristic agricultural modernization（ 2016-2020), implementation opinions on fostering and strengthening characteristic agricultural industries in Gansu Province to boost poverty alleviation, China National Geographic Indication product network (http://www.cgi.gov.cn/home/default/), regional layout planning of characteristic agricultural products (2013-2020). The data is the distribution of county-level characteristic agriculture, realizing the spatialization of county-level characteristic agriculture. The data can be applied to the research on the spatial distribution of characteristic agriculture and the development of characteristic agriculture in the future.

File naming and required software

The data of special agricultural spatial layout is stored in text format, and the file name is qzgytytype.xlsx. The data includes four worksheets, including highland barley, yak, sheep and wolfberry. Name is the name of the county, ID is the number of each county in the Qinghai Tibet Plateau during the statistics. Type1, type2, type3 and type4 are the characteristic agricultural types of each county.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, S., Xu, Z. (2016). Multi-scale surface flux and meteorological elements observation dataset in the Hai River Basin (Guantao site-eddy covariance system) (2008-2010). A Big Earth Data Platform for Three Poles, DOI: 10.3972/haihe.008.2013.db. CSTR: 18406.11.haihe.008.2013.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Liu, S.M., Xu, Z.W., Zhu, Z.L., Jia, Z.Z., &Zhu, M.J. (2013). Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China. Journal of Hydrology, 487, 24-38.( View Details | Bibtex)

2. Jia, Z.Z., Liu, S.M., Xu, Z.W,, Chen, Y.J., & Zhu, M.J. (2012). Validation of remotely sensed evapotranspiration over the Hai River Basin, China. Journal of Geophysical Research, 117(D13).( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Liu, S.M., Lu, L., Mao, D., & Jia, L. (2007). Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements. Hydrology and Earth System Sciences, 11(2), 769-283. (View Details | Download )

2.Liu, S.M., Xu, Z.W., Wang, W.Z., Bai, J., Jia, Z., Zhu, M., & Wang, J.M. (2011). A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem. Hydrology and Earth System Sciences, 15(4), 1291-1306. (View Details | Download )

3.Lu, L., Liu, S.M., Xu, Z.W., Yang, K., Cai, X.H., Jia, L., & Wang, J.M. (2009). The characteristics and parameterization of aerodynamic roughness length over heterogeneous surfaces. Advances in atmospheric sciences, 26(1), 180-190. (View Details | Download )

4.Liu, S.M., Hu, G., Lu, L., & Mao, D.F. (2007). Estimation of regional evapotranspiration by TM/ETM+ data over heterogeneous surfaces. Photogrammetric engineering & Remote sensing, 73(10), 1169-1178. (View Details | Download )

5.Xu, T., Liu, S., Xu, L., Chen ,Y., Jia, Z., Xu, Z., &Nielson, J. (2015). Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration. Remote Sensing, 7(3), 3400-3425. (View Details | Download )

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