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Anthropogenic activities dominated tropical forest carbon balance in two contrary ways over the Greater Mekong Subregion in the 21st century.
Chen B, Kayiranga A, Ge M, Ciais P, Zhang H, Black A, Xiao X, Yuan W, Zeng Z, Piao S. Chen B, et al. Glob Chang Biol. 2023 Jun;29(12):3421-3432. doi: 10.1111/gcb.16688. Epub 2023 Apr 2. Glob Chang Biol. 2023. PMID: 36949006
Our results show that (i) about 0.54 million square kilometers (21.0% of the region) experienced forest cover transitions with a net increase in forest cover by 4.3% (0.11 million square kilometers, equivalent to 0.31 petagram of C [Pg C] stocks); (ii) forest losses mainly in Cam …
Our results show that (i) about 0.54 million square kilometers (21.0% of the region) experienced forest cover transitions with a net increas …
A new approach combining a simplified FLEXPART model and a Bayesian-RAT method for forecasting PM10 and PM2.5.
Guo L, Chen B, Zhang H, Zhang Y. Guo L, et al. Environ Sci Pollut Res Int. 2020 Jan;27(2):2165-2183. doi: 10.1007/s11356-019-06605-w. Epub 2019 Nov 26. Environ Sci Pollut Res Int. 2020. PMID: 31773536
The LPD forecast system was much better (correlation coefficient: R=0.64 vs. 0.48 and 0.67 vs. 0.50 for PM(10) and PM(2.5), respectively; root mean square error: RMSE = 74.98 vs. 105.96 mug/m(3) for PM(10) and 54.89 vs. 72.81 mug/m(3) for PM(2.5)) than the pre-calibration …
The LPD forecast system was much better (correlation coefficient: R=0.64 vs. 0.48 and 0.67 vs. 0.50 for PM(10) and PM(2.5), respectiv …