Light Response Characteristics of Canopy Photosynthesis of a Tropical Evergreen Broadleaf Forest

Xiaodong Niu; Yong Pang; Hailong Xu; Tao Yu

doi:10.12356/j.2096-8884.2024-0016

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Xiaodong Niu, Yong Pang, Hailong Xu, Tao Yu. Light Response Characteristics of Canopy Photosynthesis of a Tropical Evergreen Broadleaf Forest[J]. Terrestrial Ecosystem and Conservation. doi: 10.12356/j.2096-8884.2024-0016

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Xiaodong Niu, Yong Pang, Hailong Xu, Tao Yu. Light Response Characteristics of Canopy Photosynthesis of a Tropical Evergreen Broadleaf Forest[J]. Terrestrial Ecosystem and Conservation. doi: 10.12356/j.2096-8884.2024-0016

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Light Response Characteristics of Canopy Photosynthesis of a Tropical Evergreen Broadleaf Forest

doi: 10.12356/j.2096-8884.2024-0016

Xiaodong Niu^1
,,
Yong Pang^{1
,
,},
Hailong Xu^{1, 2},
Tao Yu¹

1.
Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
2.
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China

Received Date: 2024-03-02
Accepted Date: 2024-04-23

Abstract

Abstract

Objective To study the light response characteristics of canopy photosynthesis in a tropical evergreen broadleaf forest in Yunnan Province. Methods Based on the flux tower data observed from March 2023 to February 2024 in a tropical evergreen broadleaf forest in Puwen Town, Yunnan Province, the Michaelis-Menten equation was used to fit the three photosynthetic parameters of the ecosystems with the time windows of 1 month. And the correlation analysis between ecosystem photosynthetic parameters and environmental factors in corresponding time scale was carried out. Results The apparent initial light use efficiency (ɑ) and dark ecosystem respiration (R_d) showed similar seasonal variation characteristics, with the maximum value in October and the minimum value in February. The maximum photosynthesis rate (P_max) from March to May was low and had no obvious change in other months. The environmental factors that are most correlated with the seasonal variations of ɑ, R_d and P_max were wind speed, relative air humidity and vapor pressure deficit, respectively. Canopy conductance also had an apparent effect on the seasonal variation of R_d and P_max. Conclusion Three photosynthetic parameters of the tropical evergreen broadleaf forest showed obvious seasonal variations. Rather than radiation and temperature, wind speed and water conditions had greater effects on the seasonal variations of photosynthetic parameters.
- natural forest,
- ecosystem photosynthetic parameters,
- eddy covariance,
- vapor pressure deficit,
- Yunnan Province

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References(35)

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