HU Qipeng, SUN Lingling, GUO Zhihua, QI Tao. Response of Leaf Morphology, Photosynthesis, and Light Induction of Species Seedlings from Different Functional Groups to Different Light Regimes in Evergreen Broad-Leaved Forest[J]. Journal of South China Agricultural University, 2013, 34(2): 207-212. DOI: 10.7671/j.issn.1001-411X.2013.02.016
    Citation: HU Qipeng, SUN Lingling, GUO Zhihua, QI Tao. Response of Leaf Morphology, Photosynthesis, and Light Induction of Species Seedlings from Different Functional Groups to Different Light Regimes in Evergreen Broad-Leaved Forest[J]. Journal of South China Agricultural University, 2013, 34(2): 207-212. DOI: 10.7671/j.issn.1001-411X.2013.02.016

    Response of Leaf Morphology, Photosynthesis, and Light Induction of Species Seedlings from Different Functional Groups to Different Light Regimes in Evergreen Broad-Leaved Forest

    More Information
    • Received Date: April 12, 2012
    • This study focused on the response of the leaf morphology and photosynthesis traits of species seedlings from different functional groups to different light regimes (open, gap and understory) in evergreen broad-leaved forest in order to find out their succession status. The main results are as follows:1) There was a significant difference among the environmental factors under different light regimes in subtropical forests, especially photosynthetic active radiation (PAR), which made functional groups respond differently to environments;2) The seedlings of Cinnamomum camphora could capture more light energy with the lowest leaf dry mass per area(LMA), performing the most stomatal conductance and the lowest leaf intercellular CO2 concentration(Ci) to improve carborxylation capacity and solar energy use efficiency (SUE), offsetting photoinhibition under higher regimes. These characteristics showed it could regenerate in high-light environment as a pioneer species;3) Seedlings of Gordonia acuminata showed photoinhibition due to the highest LMA and Ci but the lowest SUE under open light regimes. Otherwise it showed a relatively higher leaf net photosynthetic rate (Pn), SUE and water use efficiency (WUE) in gap and was more sensitive to light induction in understory. It belonged to intermediate shade-tolerant species;4) Although seedlings of Castanopsis fargesii could endure higher light with a relatively lower LMA and higher Pn than Gordonia acuminata under open light regimes, it probably experienced a big light stress for a lower sensitivity to abrupt high light induction. It also did not adapt to relatively high light regime of gap because of a lower SUE. However, it could not survive in understory for a 16% higher LMA than in gap either. It tended to regenerate better in sparse crown of Pinus massoniana forests and would replace intermediates such as Gordonia acuminata in succession.
    • Related Articles

      [1]LAN Wangjiao, ZHANG Xisheng, REN Jianhua, ZHANG Ji, YANG Qinglu, YU Zhenwei, TIAN Fuyang, YU Sufang. Pushing simulation and experimental research of belt pusher robot based on EDEM[J]. Journal of South China Agricultural University, 2024, 45(5): 685-693. DOI: 10.7671/j.issn.1001-411X.202404011
      [2]LIU Tao, HE Ruiyin, LU Jing, ZOU Yi, ZHAO Mingming. Simulation and verification on seeding performance of nest hole wheel seed-metering device based on EDEM[J]. Journal of South China Agricultural University, 2016, 37(3): 126-132. DOI: 10.7671/j.issn.1001-411X.2016.03.020
      [3]SU Wei, GAO Xiaojun, REN Chuang, LAI Qinghui. A simulation prediction method of suspension speed of seed particle swarm[J]. Journal of South China Agricultural University, 2016, 37(1): 110-116. DOI: 10.7671/j.issn.1001-411X.2016.01.018
      [4]XIA Hongmei, LI Zhiwei, ZHEN Wenbin, ZHANG Bingchao. A simulation analysis on vacuum flow field for an air chamber of pneumatic plate-type vegetable seed metering device[J]. Journal of South China Agricultural University, 2014, 35(6): 99-103. DOI: 10.7671/j.issn.1001-411X.2014.06.019
      [5]WEI Wei,LI Tong-chun,NIU Zhi-wei,QU Han-fei. Applications of Local Mesh Refinement to Crack Propagation Simulation in Concrete Structures[J]. Journal of South China Agricultural University, 2007, 28(4): 112-116. DOI: 10.7671/j.issn.1001-411X.2007.04.027
      [6]Parameter K-Value Estimation for LOGISTIC Model by Statistic Control[J]. Journal of South China Agricultural University, 2003, 24(3): 33-35. DOI: 10.7671/j.issn.1001-411X.2003.03.068
      [7]HE Yu-rong,PANG Xiong-fei. Simulation of Control Effectiveness of Several Parasitoids Against Population of the Diamondback Moth (Plutella xylostella L.)[J]. Journal of South China Agricultural University, 2000, (2): 18-20. DOI: 10.7671/j.issn.1001-411X.2000.02.006
      [8]Luo Shiming Cheng Chunhuan. RESEARCH ON DECOMPOSITION DYNAMICS OF ORGANIC MATTER IN RICE FIELDS[J]. Journal of South China Agricultural University, 1991, (3): 14-18.
      [9]Wang Zhenzhong Lin Kung-hsun Faan Hwei-chung. MATHEMATICAL SIMULATION OF THE GROWTH DYNAMICS OF THE CHINESE-SMALL-CABBAGE[J]. Journal of South China Agricultural University, 1990, (1): 67-72.
      [10]Wang Zhenzhong Lin Kunghsun. COMPUTER SIMULATION OF GROUNDNUT RUST: STRUCTURE AND VALIDATION OF CSGR-1[J]. Journal of South China Agricultural University, 1987, (3).
    • Cited by

      Periodical cited type(9)

      1. 姜雪菲,包广道,翟畅,刘婷,任志彬,丁铭铭,张微,杜云霞. 森林食叶害虫空间分布格局遥感定量反演研究. 西南林业大学学报(自然科学). 2024(01): 125-134 .
      2. 胡连槟,兰玉彬,于海琳,张帅领,田秉权,王小丽,王泽生,赵静,李永军. 棉花病虫害遥感监测研究进展. 山东农业科学. 2024(04): 164-171 .
      3. 刘润飞. 基于改进YOLOv8的棉花虫害检测算法. 农业工程. 2024(07): 42-47 .
      4. 吴新宇,廖廓,李勇波,李欣欣,王若琦. 无人机多光谱的竹林病虫害监测——以福州市晋安区沙溪村典型受灾区为例. 福建技术师范学院学报. 2023(02): 163-171 .
      5. 廖娟,陶婉琰,臧英,曾弘毅,汪沛,罗锡文. 农作物病虫害遥感监测关键技术研究进展与展望. 农业机械学报. 2023(11): 1-19 .
      6. 孙伟韬. 基于多光谱遥感影像的森林病虫害监测研究. 桉树科技. 2023(04): 39-46 .
      7. 刁鹏,高立兵. 无人机遥感在作物病虫害监测中的应用方法与研究进展. 南方农机. 2022(16): 8-13 .
      8. 张梦. 无人机遥感技术在农业中的应用研究. 淮南职业技术学院学报. 2022(04): 131-133 .
      9. 庄东英,王德领,殷敏,李卫国,耿安红,崔必波. 利用遥感监测冬小麦病虫害的研究进展与思考. 江西农业学报. 2022(11): 87-93 .

      Other cited types(6)

    Catalog

      Article views (1833) PDF downloads (1640) Cited by(15)

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return