Dynamics and regulations of ecosystem light use efficiency in a broad-leaved Korean pine mixed forest, Changbai Mountain

doi:10.17521/cjpe.2015.0112

Abstract

Abstract:

Aims Ecosystem light use efficiency (LUE) reflects the ability of CO₂ uptake and light utilization via photosynthesis, which is a key parameter in ecosystem models to evaluate ecosystem productivity. The objectives of this study were to: (1) compare the differences of LUE derived from different methods; (2) elucidate the seasonal dynamics of LUE and its regulatory factors; and (3) evaluate the maximum LUE (LUE_max) and its variability based on eddy-covariance (EC) flux.Methods Using the flux data from an EC tower during 2003-2005 at a broad-leaved Korean pine (Pinus koraiensis) mixed forest, Changbai Mountain, two types of LUE indicators were generated from: 1) the apparent quantum yield (ε) estimated with rectangular hyperbolic curve, and 2) the ecological light use efficiency (LUE_eco) calculated as the ratio between gross ecosystem productivity (GEP) and photosynthetically-active radiation (Q).Important findings The seasonal variation of ε and LUE_eco appeared a unimodal pattern within a year, with the variations significantly dominated by soil surface temperature and Normalized Difference Vegetation Index (NDVI). A positive correlation between GEP and LUE was found for both ε and LUE_eco, with the effect of Q on LUE relatively weak. The increase in diffusion radiation appeared favorable for enhanced LUE. Generally, there was a significant positive relationship between ε and LUE_eco, while ε was higher than LUE_eco, especially during the mid-season. The annual maximum value of ε and LUE_eco was (0.087 ± 0.003) and (0.040 ± 0.002) μmol CO₂·μmol photon^-1 over the three years, respectively. The interannual variability of LUE_max for ε and LUE_eco was 4.17% and 4.25%, respectively, with a maximum difference of >8%, likely resulted from considerable uncertainty in model simulations. Our results indicated that the inversion and optimization of maximum LUE should be taken seriously in the application of LUE models.

Key words: ecosystem carbon exchange, light use efficiency, ecosystem maximum light use efficiency, interannual variability, vegetation index

ZHANG Lei-Ming,CAO Pei-Yu,ZHU Ya-Ping,LI Qing-Kang,ZHANG Jun-Hui,WANG Xiao-Ling,DAI Guan-Hua,LI Jin-Gong. Dynamics and regulations of ecosystem light use efficiency in a broad-leaved Korean pine mixed forest, Changbai Mountain[J]. Chin J Plan Ecolo, 2015, 39(12): 1156-1165.

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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2015.0112

https://www.plant-ecology.com/EN/Y2015/V39/I12/1156

Figures/Tables 6

Fig. 1 Seasonal and interannual variations of environmental factors and canopy dynamics at 8-days interval in a broad- leaved Korean pine mixed forest, Changbai Mountain. A, Air temperature, soil temperature at 5 cm depth, normalized difference vegetation index and atmospheric vapor pressure deficit. B, Photosynthetically-active radiation and clearness index. C, Precipitation, soil volume water content at 5 cm and 10 cm depth.

Fig. 2 Seasonal and interannual variations of gross ecosystem productivity and light use efficiency.

Fig. 3 Relationships between soil temperature, normalized difference vegetation index and light use efficiency. A, Ecosystem apparent quantum yield and ecological light use efficiency vs soil temperature. B, Ecosystem apparent quantum yield and ecological light use efficiency vs normalized difference vegetation index.

Fig. 4 Relationships between ecosystem apparent quantum yield and ecological light use efficiency.

Fig. 5 Relationships between gross ecosystem productivity (GEP), photosynthetically-active radiation (Q), and light use efficiency (LUE). A, Ecosystem apparent quantum yield (ε) and ecological light use efficiency (LUEeco) v.s. GEP. B, ε and LUEeco v.s. Q.

Fig. 6 Relationship between diffusion radiation and ecosystem apparent quantum yield and ecological light use efficiency.

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