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

被引：4

作者：

Li, Chuanhua ^{[1
,2
]}

Sun, Hao ^{[1
]}

Wu, Xiaodong ^{[2
,3
]}

Han, Haiyan ^{[1
]}

机构：

[1] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China

[2] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Tibetan Plateau, Lanzhou 730000, Gansu, Peoples R China

[3] Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China

来源：

DATA IN BRIEF | 2019年 / 27卷

基金：

中国国家自然科学基金;

关键词：

Soil water; Biome-BGC; Net primary production; Freeze-thaw process; Qinghai-Tibetan Plateau; ATMOSPHERIC CO2;

D O I：

10.1016/j.dib.2019.104740

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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). (c) 2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

引用

页数：5