Carbon sequestration from China’s afforestation projects

He, Bin; Miao, Lijuan; Cui, Xuefeng; Wu, Zhitao

doi:10.1007/s12665-015-4559-4

Cited by 29 publications

(7 citation statements)

References 52 publications

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“…The GIMMS data are corrected for changes in satellite sensors over time, unstable atmosphere conditions, and noise from non-vegetated areas [ 31 – 33 ]. For these reasons, the data have been widely applied in ecosystems research [ 27 , 34 – 36 ].…”

Section: Methodsmentioning

confidence: 99%

Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants

et al. 2017

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Climate change affects the timing of phenological events, such as the start, end, and length of the growing season of vegetation. A better understanding of how the phenology responded to climatic determinants is important in order to better anticipate future climate-ecosystem interactions. We examined the changes of three phenological events for the Mongolian Plateau and their climatic determinants. To do so, we derived three phenological metrics from remotely sensed vegetation indices and associated these with climate data for the period of 1982 to 2011. The results suggested that the start of the growing season advanced by 0.10 days yr-1, the end was delayed by 0.11 days yr-1, and the length of the growing season expanded by 6.3 days during the period from 1982 to 2011. The delayed end and extended length of the growing season were observed consistently in grassland, forest, and shrubland, while the earlier start was only observed in grassland. Partial correlation analysis between the phenological events and the climate variables revealed that higher temperature was associated with an earlier start of the growing season, and both temperature and precipitation contributed to the later ending. Overall, our findings suggest that climate change will substantially alter the vegetation phenology in the grasslands of the Mongolian Plateau, and likely also in biomes with similar environmental conditions, such as other semi-arid steppe regions.

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Section: Methodsmentioning

confidence: 99%

Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants

et al. 2017

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“…This result demonstrates that human environmental construction has played a great role. However, it is worth noting that the main result of NPP increases in arable land is an improved food supply, not carbon sequestration [64][65][66][67]. Irrigation, long-term chemical fertilization, high-density cultivation and other measures may result in the degradation of soil conditions.…”

Section: Impact Mechanisms Of Anthropogenic Activities On Vegetation ...mentioning

confidence: 99%

Where Anthropogenic Activity Occurs, Anthropogenic Activity Dominates Vegetation Net Primary Productivity Change

Xie

Zhuang

et al. 2022

Remote Sensing

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Anthropogenic activities and climate change affect the type, structure and function of ecosystems, resulting in important changes in vegetation net primary productivity (NPP). Therefore, in this study we used the vegetation photosynthesis model (VPM) to reveal the spatiotemporal variations in NPP in Xinjiang from 2000 to 2019. The impacts of climate change and anthropogenic activities on NPP changes were quantified and separated by the residual analysis-control variables (RES-CON) method. The results showed that the average NPP in Xinjiang increased by 17.77% from 2000 to 2019. Anthropogenic activities and climate change generally had a positive impact on NPP from 2000 to 2019. The most important anthropogenic activity was land use and land cover (LULC) transformation from grass to arable land, which significantly increased vegetation productivity. Regarding climate change, precipitation has played a significant role in promoting the productivity of vegetation. Overall, the average contribution of climate change (temperature and precipitation) to NPP variation (21.44%) is much greater than the contribution of anthropogenic activities (3.46%), but in areas where anthropogenic activities occur, the average contribution of anthropogenic activities to NPP variation (75.01%) is much greater than the average contribution of climate change (15.53%). Where there are no anthropogenic activities, the average contribution of climate change to NPP variation is 21.72%. In summary, anthropogenic activities are the main driver of NPP variation in areas where anthropogenic activities occur, while the total area in Xinjiang where climate change is the most important driver is larger than the total area where anthropogenic activities are the dominant driver.

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“…The total loss of NPP due to replacing vegetation with urban land reached 0.137 Tg C in the Pearl River Delta during 2000–2010 (Jiang et al, 2015). In contrast, many researchers have suggested the effectiveness of ecological restoration programmes and demonstrated that returning cropland to forest and grassland has facilitated vegetation recovery and greening at different spatial scales, including the national scale (He, Miao, Cui, & Wu, 2015b) and within an ecologically fragile region, such as the Loess Plateau (Xie, Qin, Wang, & Chang, 2014; Zhao et al, 2017) and the Tibetan Plateau (Gao et al, 2013). Although numerous studies have been carried out to evaluate how land use changes affect NPP ranging from the regional to the national and global scales, there are relatively few studies on the effects of land use change on the trends of NPP, especially nonlinear trends, which cannot fully reflect the response of NPP to land use change.…”

Section: Introductionmentioning

confidence: 99%

Effects of land use changes on the nonlinear trends of net primary productivity in arid and semiarid areas, China

et al. 2021

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Monitoring the nonlinear trend of net primary productivity (NPP) is essential for assessing the changes of ecosystems quality. Land use change caused by human activities is considered to be a key factor leading to vegetation changes. However, how land use change impacts the nonlinear trend of NPP has not yet been determined. This article analyzed the nonlinear trend of NPP in arid and semiarid areas of China during in the period 1982-2015 based on the ensemble empirical mode decomposition (EEMD) method and elucidated the effects of land use changes on the nonlinear trends of NPP. The results revealed that: (a) With the EEMD method, although monotonic increase was the main type of the trend of NPP (28.40 %), trend reversals from increase to decrease and from decrease to increase accounted for 13.52 and 20.90 % of the study area, respectively. (b) Although vegetation in most types of land use has been improved a lot, it has not been improved significantly in forest areas and changed from improvement to degradation in some forest and urban land areas. (c) Urbanization limited vegetation recovery but other land use changes generally favoured vegetation improvement. Although afforestation improved vegetation, there was a considerable area of the forest converted from nonforest threatened by the changes from improvement to degradation due to water limitation.Overall, nonlinear trend analysis can reveal the hidden trend reversals to prevent the overestimation or underestimation of the risk of vegetation degradation and is conducive to accurate assessment of the effects of land use changes on vegetation trends. K E Y W O R D Sarid and semiarid areas, ensemble empirical mode decomposition (EEMD) method, land use change, net primary productivity, nonlinear trend analysis

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Carbon sequestration from China’s afforestation projects

Cited by 29 publications

References 52 publications

Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants

Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants

Where Anthropogenic Activity Occurs, Anthropogenic Activity Dominates Vegetation Net Primary Productivity Change

Effects of land use changes on the nonlinear trends of net primary productivity in arid and semiarid areas, China

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