Simulation of the carbon cycle of<i>Larix chinensis</i>forest during 1958 and 2008 at Taibai Mountain, China

Liang, 李亮 Li; Xiaojun, 何晓军 He; Lile, 胡理乐 Hu; Junsheng, 李俊生 Li

doi:10.5846/stxb201202130189

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Li et al found that the average NPP was 305.33 gCm -2 a -1 using the BIOME-BGC model to study the Taibai Redwood on the northern slope of the Qinling Mountains [29] . Li et al simulated an average NPP of 380 gCm -2 a -1 from 1958 to 2008 based on LPJ-GUESS, a vegetation dynamic process model [30] . Zhang et al used the BIOME-BGC model to simulate the Taibai Redwood on the northern slope of the Qinling Mountains, with the NPP of 328.59 gCm -2 a -1 from 1959 to 2016 [31] .…”

Section: Results Comparison Verificationmentioning

confidence: 99%

Estimating and analyzing the spatiotemporal pattern of net primary productivity in Qinba area by combing remote sensing data and BIOME-BGC Model

Yang,

Chen,

Liu

et al. 2023

International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023)

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Studying the spatial and temporal changes of NPP in the Qinba area can provide scientific and technological data support for the realization of regional carbon neutrality goals. We use site parameters, geographical conditions monitoring data, MCD43A3 and a series of daily meteorological grid data to simulate daily NPP dataset at a spatial resolution of 500 m× 500 m during 2000-2020. The results show that the spatial distribution of NPP in the ecosystem of the Qinba area is significantly different. The NPP of the eastern part of the Qinba Mountains shows a decreasing trend, while the NPP in the western and southern parts shows an increasing trend. The significantly increased area accounts for 38.71% of the total area. Under the RCP4.5 scenario mode, it is predicted that the NPP in the Qinba Mountains will reach 337 gCm-2a-1 in the next 80 years. However, the positive effects of temperature, precipitation, and CO2 concentration on vegetation growth tend to flatten out in 2060. Climate change after 2060 may have a reverse inhibitory effect on vegetation growth.

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Section: Results Comparison Verificationmentioning

confidence: 99%

Estimating and analyzing the spatiotemporal pattern of net primary productivity in Qinba area by combing remote sensing data and BIOME-BGC Model

Yang,

Chen,

Liu

et al. 2023

International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023)

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Carbon Mass Change and Its Drivers in a Boreal Coniferous Forest in the Qilian Mountains, China from 1964 to 2013

Fang

et al. 2018

Forests

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Carbon storage of mountain forests is vulnerable to climate change but the changes in carbon flux through time are poorly understood. Moreover, the relative contributions to carbon flux of drivers such as climate and atmospheric CO 2 still have significant uncertainties. We used the dynamic model LPJ-GUESS with climate data from twelve meteorological stations in the Qilian Mountains, China to simulate changes in carbon mass of a montane boreal forest, and the influence of temperature, precipitation, and CO 2 concentration from 1964 to 2013 on carbon flux. The results showed that the carbon mass has increased 1.202 kg/m 2 from 1964 to 2013, and net primary productivity (NPP) ranged from 0.997 to 1.122 kg/m 2 /year. We concluded that the highest carbon mass proportion for this montane boreal forest was at altitudes 2700-3100 m (proportion of ecosystem carbon was between 93-97%), with maximum carbon density observed at 2700-2900 m. In the last 50 years, the increase in precipitation and in CO 2 concentration is expected to increase carbon mass and NPP of Picea crassifolia Kom. (Pinaceae) (Qinghai spruce). The effect of temperature on NPP was positive but that on carbon mass was not clear. The increase in CO 2 concentration over the past 50 years was a major contributor to the increase in carbon storage, and drought was the foremost limiting factor in carbon storage capacity of this montane boreal forest. Picea crassifolia forest was vulnerable to climate change. Further studies need to focus on the impact of extreme weather, especially drought, on carbon storage in Picea crassifolia forests.

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Simulation of the carbon cycle ofLarix chinensisforest during 1958 and 2008 at Taibai Mountain, China

Cited by 2 publications

References 9 publications

Estimating and analyzing the spatiotemporal pattern of net primary productivity in Qinba area by combing remote sensing data and BIOME-BGC Model

Estimating and analyzing the spatiotemporal pattern of net primary productivity in Qinba area by combing remote sensing data and BIOME-BGC Model

Carbon Mass Change and Its Drivers in a Boreal Coniferous Forest in the Qilian Mountains, China from 1964 to 2013

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