Dataset Information

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

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).

SUBMITTER: Li C

PROVIDER: S-EPMC6864309 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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

Li Chuanhua C Sun Hao H Wu Xiaodong X Han Haiyan H

Data in brief 20191104

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 no ...[more]

PMID: 31763397

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Project description:Global climate change has led to a significant increase in the frequency of extreme rainfall events in the Qinghai-Tibetan Plateau (QTP), thus potentially increasing the annual rainfall amounts and, consequently, affecting the net soil nitrogen (N) mineralization process. However, few studies on the responses of the soil net N mineralization rates to the increases in rainfall amounts and frequencies in alpine wet meadows have been carried out. Therefore, the present study aims to assess the effects of rainfall frequency and amount changes on the N fixation capacity of wet meadow soils by varying the rainfall frequency and amount in the Gahai wet meadow in the northeastern margin of the QTP during the plant-growing season in 2019. The treatment scenarios consisted of ambient rain (CK) and supplementary irrigation at a rate of 25 mm, with different irrigation frequencies, namely weekly (DF1), biweekly (DF2), every three weeks (DF3), and every four weeks (DF4). According to the obtained results, the increased rainfall frequency and amount decreased the soil mineral N stock and increased the aboveground vegetation biomass (AB) amounts and soil water contents in the wet meadows of the QTP. Ammonium (NH4+-N) and nitrate N (NO3--N) contributed similarly to the mineral N contents. However, the ammonification process played a major role in the soil mineralization process. The effects of increasing rainfall amount and frequency on N mineralization showed seasonal variations. The N mineralization rate showed a single-peaked curve with increasing soil temperature during the rapid vegetation growth phase, reaching the highest value in August. In addition, the N mineralization rates showed significant positive correlations with soil temperatures and NH4+-N contents and a significant negative correlation with AB (P < 0.05). The results of this study demonstrated the key role of low extreme rainfall event frequencies in increasing the net soil N mineralization rates in the vegetation growing season, which is detrimental to soil N accumulation, thereby affecting the effectiveness of soil N contents.

Dataset Information

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

Publications

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

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