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西双版纳热带季节雨林辐射长期变化特征

于辉 宋清海 张一平 GnanamoorthyPalingamoorthy 张晶 SadiaBibi

于辉, 宋清海, 张一平, GnanamoorthyPalingamoorthy, 张晶, SadiaBibi. 西双版纳热带季节雨林辐射长期变化特征[J]. 北京林业大学学报, 2021, 43(4): 56-67. doi: 10.12171/j.1000-1522.20200270
引用本文: 于辉, 宋清海, 张一平, GnanamoorthyPalingamoorthy, 张晶, SadiaBibi. 西双版纳热带季节雨林辐射长期变化特征[J]. 北京林业大学学报, 2021, 43(4): 56-67. doi: 10.12171/j.1000-1522.20200270
Yu Hui, Song Qinghai, Zhang Yiping, Gnanamoorthy Palingamoorthy, Zhang Jing, Sadia Bibi. Long-term variation characteristics of radiation in the tropical seasonal rainforest in Xishuangbanna, southwestern China[J]. Journal of Beijing Forestry University, 2021, 43(4): 56-67. doi: 10.12171/j.1000-1522.20200270
Citation: Yu Hui, Song Qinghai, Zhang Yiping, Gnanamoorthy Palingamoorthy, Zhang Jing, Sadia Bibi. Long-term variation characteristics of radiation in the tropical seasonal rainforest in Xishuangbanna, southwestern China[J]. Journal of Beijing Forestry University, 2021, 43(4): 56-67. doi: 10.12171/j.1000-1522.20200270

西双版纳热带季节雨林辐射长期变化特征

doi: 10.12171/j.1000-1522.20200270
基金项目: 国家自然科学基金项目(41671209、41961144017、U1602234),国家重点研发计划项目(2016YFC0502105),中国科学院“一三五”专项(2017XTBG-T01、2017XTBG-F01),云南省中青年学术和技术带头人后备人才项目(202005AC160003),云南省万人计划青年拔尖人才项目,中国科学院战略性先导科技专项(XDA19020302)
详细信息
    作者简介:

    于辉。主要研究方向:生态气候。Email:yuhui@xtbg.ac.cn 地址:666303云南省西双版纳傣族自治州勐腊县勐仑镇中国科学院西双版纳热带植物园

    责任作者:

    宋清海,副研究员。主要研究方向:全球变化生态学。Email:sqh@xtbg.ac.cn 地址:同上

  • 中图分类号: S718.51+2.2

Long-term variation characteristics of radiation in the tropical seasonal rainforest in Xishuangbanna, southwestern China

  • 摘要:   目的  太阳辐射是森林生态系统最主要的能量来源,同时是影响森林生态系统区域气候与环境的最重要因素之一。探讨森林辐射长期变化特征,以期为气候变化、热带地区森林生产力、辐射能量平衡的研究以及辐射模型的建立和验证等建立研究基础。  方法  利用西双版纳热带季节雨林14年(2003—2016)辐射实测数据,对不同时间尺度的辐射各分量变化特征及其占总辐射的比率进行了比较分析。  结果  西双版纳热带季节雨林的总辐射、净辐射、反射辐射、大气逆辐射和林冠向上长波辐射的年平均值分别为:5 268.8、3 151.5、513.8、12 468.6、13 299.3 MJ/m2。总辐射的年际变化呈波动上升趋势,相反,净辐射的年际变化呈显著下降趋势;受大气状况的影响,大气逆辐射的年际变率较大,导致有效辐射的年际变率较大,而林冠向上的长波辐射年际变率较小;受研究区域特殊天气、季节性雾的影响,大气逆辐射日变化曲线在干季呈双峰型,雨季呈单峰型;在不同时间尺度上,林冠向上的长波辐射高于大气逆辐射,表明热带季节雨林林冠是大气的一个热源。净辐射占年总辐射的比率在60%左右,年际变化呈显著下降趋势,反射辐射和有效辐射占年总辐射的比率变化不大;净辐射占总辐射比率在昼间高,清晨和傍晚低,日变化曲线呈倒U型,反射辐射和有效辐射占总辐射的比率在昼间低,清晨和傍晚高,日变化曲线呈U型。  结论  西双版纳热带季节雨林辐射除受到太阳活动、云量和水汽等因子的影响外,还受区域小气候的影响,如季节性落叶和季节性雾。研究森林辐射特征的长期变化,对于气候变化研究、气候模型验证和森林生产力研究等具有重要意义。

     

  • 图  1  综合观测场与通量塔数据相关性

    Figure  1.  Correlation of the data from flux tower and observation field

    图  2  太阳辐射各分量的年际变化

    Figure  2.  Annual variation of solar radiation components

    图  3  太阳辐射各分量月际变化

    Figure  3.  Monthly variation of solar radiation component

    图  4  太阳辐射各分量日变化

    Figure  4.  Diurnal variation of solar radiation components

    图  5  太阳辐射各分量季节日变化

    Figure  5.  Diurnal variation of solar radiation components in different seasons

    图  6  太阳辐射各分量占总辐射百分率的年际变化

    Figure  6.  Interannual variations of the ratio of solar radiation components to global radiation

    图  7  太阳辐射各分量占总辐射百分率的年变化

    Figure  7.  Annual variations of the ratio of solar radiation components to global radiation

    图  8  太阳辐射各分量占总辐射比率的日变化

    Figure  8.  Diurnal variations of the ratio of solar radiation components to global radiation

    图  9  不同季节太阳辐射分量占总辐射百分率的日变化

    Figure  9.  Diurnal variations of the ratio of solar radiation components to global radiation in different seasons

    表  1  太阳辐射各分量年总量统计值

    Table  1.   Statistical values of annual total amount of solar radiation components

    项目
    Item
    总辐射
    Global radiation
    (K↓)
    反射辐射
    Reflected
    radiation (K↑)
    大气逆辐射
    Atmospheric
    invers-radiation (L↓)
    树冠长波辐射
    Canpoy long-wave
    radiation (L↑)
    净辐射
    Net radiation
    (Rn)
    有效辐射
    Effective
    radiation (Ln)
    平均值 Mean/(MJ·m−2) 5 268.8 513.8 12 468.6 13 299.3 3 151.5 830.7
    最小值 Min./(MJ·m−2) 4 757.6 481.1 12 197.8 13 218.2 2 787.1 469.0
    最大值 Max./(MJ·m−2) 5 660.6 554.9 12 863.0 13 417.6 3 539.5 1 159.8
    变异系数 CV 0.056 0.040 0.019 0.005 0.079 0.298
    下载: 导出CSV

    表  2  不同季节各辐射分量总量

    Table  2.   Gross for solar radiation components in different seasons MJ/m2

    季节 SeasonKKLLRnLn
    雨季 Wet season 2 688.7 253.4 6 675.9 6 940.0 1 741.2 264.1
    干季 Dry season 2 499.7 260.3 5 792.7 6 359.3 1 476.9 566.6
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-09-16
  • 修回日期:  2020-10-31
  • 网络出版日期:  2021-03-31
  • 刊出日期:  2021-04-30

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