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  • 地理区位

    会同杉木林站位于湖南省怀化市会同县广坪镇苏溪口村,依托单位为中南林业科技大学,地理坐标为:26°47'23.844"N, 109°35'24.470"E,海拔295.7m。站内建有通量塔一座,位于该站的第二集水区内,地理坐标为:26°47'08.228"N, 109°35'30.292"E,塔基海拔313.5m。该站代表了中亚热带杉木林生态类型。

  • 气象特征

    年均气温17.1,极端最高气温39.1,极端最低气温-5.7,年均相对湿度为81%,年均降水量为1275.3mm,属典型的中亚热带湿润季风气候。

  • 植被与土壤

    站区植被为杉木(Cunninghamia lanceolata)人工纯林,林下植被较少,主要灌木有杜茎山(Maesa japonica)、柃木(Eurya japonica)、菝葜(Smilax china)、冬青(Ilex purpurea)、和乌蕨(Stenloma chusanum)等,主要草本植物有狗脊(Woodwardia japonica)、铁芒萁(Dicranopteris linearis)和华南毛蕨(Cyclosorus parasiticus)等.通量塔下垫面植被为杉木人工林,冠层高度约为14.0m.土壤为山地黄壤,风化程度甚深,土层厚度80 cm以上。土壤有机质含量为29.07 g•kg-1,土壤氮含量为1.17 g•kg-1,土壤颗粒组成为粘粒占58.3%、粉粒占37.4%、石砾占4.3%。

  • 观测系统

    通量观测系统由超声风速仪(CSAT3,Campbell,USA)和CO2/H2O红外气体分析仪(Li7500, Li-cor,USA)组成。观测塔高32.5m,通量观测系统的安装高度为32.5m;常规气象仪器包括5层(高度分别为1.4, 8.5, 14.0, 22.6, 32.5m)空气温湿度(HMP45C,Vaisala, Helsinki, Finland)、3层(高度分别为20.0, 25.0, 32.5m)风速(010C-1, Campbell, USA),1层(高度为32.5m)风向(020C-1, Campbell, USA)、1层(高度为16m)净辐射(CNR-1, Kipp & Zonen, Holland)和光合有效辐射(PAR-LIFE CAF1, Li-Cor, USA)、4层(深度分别为5, 15, 30, 60 cm)土壤温度(107-L, Campbell, USA)和土壤水分含量(CS616-L, Campbell, USA)、3层(深度分别为10, 20, 45 cm)土壤热通量(HFP01, Hukeflux, Netherlands)。通量数据采样频率为10Hz,平均时间为30min,常规气象仪器的数据存储间隔为5分钟。通量开始观测时间为2007年5月。

  • 负责人

    项文化

    E-mail:xiangwh2005@163.com

  • 通量观测负责人

    项文化           教授  

  • 观测研究骨干

    赵仲辉           副教授

     邓湘雯           教授

    黄志宏            副教授

    赵梅芳            讲师

  • 国家"948"

    1.  森林甲烷检测与模拟技术合作研究           (沈燕 2013-2015)

  • 国家科研专项

    1. 亚热带次生阔叶林结构及生态功能研究          (项文化 2013-2015)

    2.  森林生态系统碳氮水耦合观测、模拟与应用技术           (田大伦   2011-2015) ;

  • 发表研究论文

    [1]  Yelin Zeng, Wenhua Xiang*, Xiangwen Deng, Xi Fang, Cong Liu, Changhui Peng. 2014. Soil N forms and gross transformation rates in Chinese subtropical forests dominated by different tree species. Plant and Soil, 384: 231-242    
    [2]  Cong Liu, Wenhua Xiang*, Pifeng Lei, Xiangwen Deng, Dalun Tian, Xi Fang, Changhui Peng. 2014. Standing fine root mass and production in four Chinese subtropical forests along succession and species diversity gradient. Plant and Soil, 376: 445-459
    [3]  Li Wen, Pifeng Lei, Wenhua Xiang, Wende Yan, Shuguang Liu. 2014. Soil microbial biomass carbon and nitrogen in pure and mixed stands of Pinus massoniana and Cinnamomum camphora differing in stand age. Forest Ecology and Management, 328: 150-158
    [4]  Xuding Wen, Zhonghui Zhao, Xiangwen Deng, Wenhua Xiang, Dalun Tian, Wende Yan, Xiaolu Zhou, Changhui Peng. 2014. Applying an artificial neural network to simulate and predict Chinese fir (Cunninghamia lanceolata) plantation carbon flux in subtropical China. Ecological Modelling, 294: 19-26
    [5]  Xiangwen Deng, Liyun Zhang, Pifeng Lei, Wenhua Xiang, Wende Yan. 2014. Variations of wood basic density with tree age and social classes in the axial direction within Pinus massoniana stems in Southern China. Annals of Forest Science, 71: 505-516
    [6]  Yiping Wu, Dongsheng Cheng, Wende Yan, Shuguang Liu, Wenhua Xiang, Ji Chen, Yueming Hu. Diagnosing climate change and hydrological responses in the past decades for a minimally-disturbed headwater basin in South China. Water Resources Management, 28(12): 4385-4400
    [7]  Jie Tong, Wenhua Xiang*, Pifeng Lei, Jia Liu, Dalun Tian, Xiangwen Deng, Changhui Peng. 2014. Prediction of tree species composition in fine root mixed samples using near-infrared reflectance spectroscopy. Plant Biosystems, DOI: 10.1080/11263504.2014.976291 (online)
    [8]  Wenhua Xiang*, Wei Wu, Jie Tong, Xiangwen Deng, Dalun Tian, Lei Zhang, Cong Liu, Changhui Peng. 2013. Differences in fine root traits between early and late successional tree species in a Chinese subtropical forest. Forestry, 86(3): 343-351
    [9]   Meifang Zhao, Wenhua Xiang*, Dalun Tian, Xiangwen Deng, Zhihong Huang, Xiaolu Zhou, Changhui Peng. 2013. Effects of increased nitrogen deposition and rotation length on long-term productivity of Cunninghamia lanceolata plantation in southern China. PLoS ONE, 8(2): e55367. doi: 10.1371/journal.pone.0055376
    [10]   Meifang Zhao, Wenhua Xiang*, Xiangwen Deng, Dalun Tian, Zhihong Huang, Xiaolu Zhou, Guirui Yu, Honglin He, Changhui Peng. 2013. Application of TRIPLEX model for predicting Cunninghamia lanceolata and Pinus massoniana forest stand production in Hunan Province, southern China. Ecological Modelling, 250: 58-71
    [11]   Wenhua Xiang*, Shaohui Liu, Xiangdong Lei, Shane C. Frank, Dalun Tian, Guangjun Wang, Xiangwen Deng. 2013. Secondary forest floristic composition, structure, and spatial pattern in subtropical China. Journal of Forest Research, 18(1): 111-120
    [12]   Meifang Zhao, Changhui Peng, Wenhua Xiang, Xiangwen Deng, Dalun Tian, Xiaolu Zhou, Guirui Yu, Honglin He, Zhonghui Zhao. 2013. Plant phenological modeling and its application in global climate change research: overview and future challenges. Environmental Reviews, 21(1): 1–14
    [13]  Jie Tong, Wenhua Xiang*, Cong Liu, Pifeng Lei, Dalun Tian, Xiangwen Deng, Changhui Peng. 2012. Tree species effects on fine root decomposition and nitrogen release in subtropical forests in southern China. Plant Ecology and Diversity, 5(3): 323-331
    [14]  Liyun Zhang, Xiangwen Deng, Xiangdong Lei, Wenhua Xiang, Changhui Peng, Pifeng Lei, Wende Yan. 2012. Determining stem biomass of Pinus massoniana L. through variations in basic density. Forestry, 85(5): 601-609
    [15]  Zelin Liu, Changhui Peng, Wenhua Xiang, Xiangwen Deng, Dalun Tian, Meifang Zhao, Guirui Yu. 2012. Simulations of runoff and evapotranspiration in Chinese fir plantation ecosystems using artificial neural networks. Ecological Modelling, 226: 71–76
    [16]  Wenhua Xiang*, Shaohui Liu, Xiangwen Deng, Aihua Shen, Xiangdong Lei, Dalun Tian, Meifang Zhao, Changhui Peng. 2011. General allometric equations and biomass allocation of Pinus massoniana trees on a regional scale in southern China. Ecological Research, 26: 697–711
    [17]  Dalun Tian, Wenhua Xiang, Xiaoyong Chen, Wende Yan, Xi Fang, Wenxing Kang, Xiangwen Deng, Changhui Peng, Yuanying Peng. 2011. A long-term evaluation of biomass production in first and second rotations of Chinese fir plantations at the same site. Forestry, 84(4): 411-418
    [18]  Liu Zelin, Peng Changhui, Xiang Wenhua, Tian Dalun, Deng Xiangwen, Zhao Meifang. 2010.  Application of artificial neural networks in global climate change and ecological research: An overview. Chinese Science Bulletin, 55(34): 3853–3863
    [19]  赵仲辉,张利平,康文星,等. 2011. 湖南会同杉木人工林生态系统CO2通量特征. 林业科学. 47(11): 6-12
    [20]  陆翔,项文化,刘聪. 2012. 中亚热带4种森林类型土壤有机碳氮贮量及分布特征. 水土保持学报. 26(3):169-172

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