Net ecosystem carbon exchange and its affecting factors in a deciduous broad-leaved forest in Songshan, Beijing, China

doi:10.13287/j.1001-9332.202011.008

Abstract

Abstract: Forests play an important role in terrestrial carbon cycles. The mechanism underlying carbon balance in temperate deciduous broad-leaved forests is not clear. In this study, net ecosystem exchange (NEE) and environmental factors, including air temperature (T_a), soil temperature (T_s), photosynthetically active radiation (PAR), vapor pressure deficit (VPD), soil water content (SWC) and precipitation (P) were continually measured using eddy covariance techniques in 2019 in a deciduous broad-leaved forest in Songshan, Beijing. We analyzed the characteristics of NEE and its response to environmental factors. The results showed that, at diurnal scale, the monthly averaged NEE exhibited a “U” shape curve (i.e., being a carbon sink over daytime while being a carbon source during nighttime) over the growing season. During the non-growing season, NEE was positive (i.e., carbon source) at diurnal scale. At the seasonal scale, NEE exhibited a unimodal curve. The annual cumulative NEE was -111 g C·m^-2·a^-1. Annual ecosystem respiration was 555 g C·m^-2·a^-1, while gross ecosystem productivity was 666 g C·m^-2·a^-1. Carbon sequestration peaked in June, while emission peaked in November. PAR was the dominant factor affecting daytime NEE (NEE_d). VPD was the main factor that indirectly affected daytime NEE_d, with an optimal VPD value that maximizes daytime NEE around 1-1.5 kPa. Soil temperature was the main factor affecting nighttime NEE (NEE_n). SWC was a limiting factor for NEE_n. Too high or too low SWC would inhibit NEE_n, with an optimal SWC value of 0.28 m³·m^-3.

Key words: net ecosystem carbon exchange, eddy covariance, environmental factor, path analysis

LI Run-dong, FAN Ya-qian, FENG Pei, SONG Ze, LI Xin-hao, YAN Hui-juan, Ma Li, ZHA Tian-shan. Net ecosystem carbon exchange and its affecting factors in a deciduous broad-leaved forest in Songshan, Beijing, China[J]. Chinese Journal of Applied Ecology, 2020, 31(11): 3621-3630.

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