Dataset of the net primary production on the Qinghai-Tibetan Plateau using a soil water content improved Biome-BGC model

Chuanhua Li; Hao Sun; Xiaodong Wu; Haiyan Han

doi:10.1016/j.dib.2019.104740

Dataset of the net primary production on the Qinghai-Tibetan Plateau using a soil water content improved Biome-BGC model

Data Brief. 2019 Nov 4:27:104740. doi: 10.1016/j.dib.2019.104740. eCollection 2019 Dec.

Authors

Chuanhua Li^{1

2}, Hao Sun¹, Xiaodong Wu^{2

3}, Haiyan Han¹

Affiliations

¹ College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730070, China.
² Cryosphere Research Station on the Qinghai-Tibetan Plateau, State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
³ University of Chinese Academy Sciences, 19(A) Yuquan Road, Shijingshan District, Beijing, 100049, China.

Abstract

The Biome-BGC (biome biogeochemical cycles) model is widely used for modeling the net primary productivity (NPP) of ecosystems. However, this model ignores soil water changes during the freeze-thaw process in permafrost regions, which may lead to considerable errors in the NPP estimations. In this context we propose a numerical simulation method for improving soil water content during the freeze-thaw process based on the field observation data of soil water and temperature. This approach does not require new parameters and has no impact on other modules. The improvement of soil water content during the freeze-thaw process was then incorporated in the Biome-BGC model for NPP in an alpine meadow in the central Qinghai-Tibetan Plateau (QTP). Interpretation of this data can be found in a research article entitled "An approach for improving soil water content for modeling net primary production on the Qinghai-Tibetan Plateau using Biome-BGC model" (Li et al., 2019).

Keywords: Biome-BGC; Freeze-thaw process; Net primary production; Qinghai-Tibetan Plateau; Soil water.