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Research Article

Spatiotemporal variation in bamboo Solar-induced chlorophyll fluorescence (SIF) in China based on the global Orbiting Carbon Observatory-2 (OCO-2) carbon satellite and study on the response to climate and terrain

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Article: 2253952 | Received 15 Mar 2023, Accepted 27 Aug 2023, Published online: 05 Sep 2023
 

ABSTRACT

Bamboo forests have a high carbon sequestration potential. Solar-induced chlorophyll fluorescence (SIF) provides fresh insights into the temporal and geographical variations in bamboo development and its interactions with the environment. SIF can serve as a probe for photosynthesis. In this study, we used distribution information on Chinese bamboo forests as well as a global SIF product, the global Orbiting Carbon Observatory-2 (OCO-2) SIF (GOSIF), which is derived from the OCO-2 carbon satellite. Thus, we used SIF as an indicator of bamboo forest growth. We investigated the spatial and temporal variations as well as the trends of bamboo forest SIF in China from 2008 to 2019 and explained the response mechanisms of bamboo forest growth to climate change and terrain differences in the region. We also evaluated the combined effects of climate and terrain on bamboo forest growth using the partial least squares path model (PLS-PM). The results were as follows: (1) Low values were found in the west and north, while high values were found in the east and south, according to the average bamboo forest SIF values in China from 2008 to 2019. More than 88% of the pixels had significantly increasing values. In conclusion, bamboo forests in China are growing well. (2) Solar radiation (Rad) and minimum temperature (Tmin) promoted the growth of most bamboo stands, while precipitation (Pre) and maximum temperature (Tmax) did the opposite. (3) The terrain, with a digital elevation model (DEM) less than 1000 m and a slope less than 9°, had a positive effect on bamboo forest SIF. (4) Climate and terrain jointly explained 45% of the bamboo forest growth change, and the major factor was climate change.

Acknowledgments

The authors are grateful to the Editor and anonymous reviewers whose comments have contributed to improving the quality of this manuscript.

Disclosure statement

The authors disclosed no possible conflicts of interest(s).

Data availability statement

The datasets generated or analyzed during this study are available from the corresponding author on reasonable request.

Additional information

Funding

This work was supported in part by the Leading Goose Project of Science Technology Department of Zhejiang Province under Grant [2023C02035], in part by the National Natural Science Foundation under Grant [32171785, 32201553, and 31901310], in part by the Scientific Research Project of Baishanzu National Park under Grant [2022JBGS02], and in part by the Key Research and Development Program of Zhejiang Province under Grant [2021C02005].