南方人工林叶面积指数的摄影测量  被引量:31

Estimation of leaf area index of planted forests in subtropical China by photogrammetry

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作  者:马泽清[1] 刘琪璟[1] 曾慧卿[2] 李轩然[1] 陈永瑞[1] 林耀明[1] 张时煌[1] 杨风亭[1] 汪宏清[1] 

机构地区:[1]中国科学院地理科学与资源研究所 [2]中国科学院生态环境研究中心,北京100085

出  处:《生态学报》2008年第5期1971-1980,共10页Acta Ecologica Sinica

基  金:国家重点基础研究发展计划(973计划2002CB4125);中国科学院资源与环境技术局野外台站基金;科技部国际合作项目2006DFB91920~~

摘  要:利用CI-110冠层分析仪、鱼眼镜头数码照片分析,结合胸径-叶片半表面积模型对千烟洲不同森林类型(20年生)的叶面积指数进行了测定,并对3种方法进行了比较。共调查74块样地。研究对象主要为湿地松(Pinus elliottii)林、马尾松(Pinus massoniana)林、杉木(Cunninghamia lanceolata)林。针对上述3种林型,CI-110观测值分别为1.355(0.38~2.85)、1.265(0.62~2.55)和2.140(0.76~3.31);鱼眼镜头测定值依次为1.339(0.71~1.79)、1.491(1.11~1.92)和1.984(1.26~2.59)。利用胸径-叶片半表面积模型测定的叶面积指数(范围)依次为4.53(2.24~6.34)、3.88(1.19~6.28)和6.63(3.5~8.37)。间接仪器法测定的值明显小于实测值,但具有一定的相关性。胸径-叶片半表面积模型测定叶面积指数最为可靠,而鱼眼镜头测定法比冠层分析仪测定精度高。Leaf area index(LAI) of three types of forests in the Qianyanzhou of subtropical China was investigated with fisheye photographs and CI-110 canopy analyzer.DBH-leaf area(hemi-surface) regressive model was used for assessing the measurement accuracy by photogrammetry and the canopy analyzer.Field survey was conducted on 74 plots.The values of LAI of for the Pinus elliottii forest,the Pinus massoniana forest,and the Cunninghamia lanceolata forest were 1.339(0.71-1.79),1.491(1.11-1.92) and 1.984(1.26-2.59) by fisheye photos photogrammetry,1.355(0.38-2.85),1.265(0.62-2.55) and 2.140(0.76-3.31) by the CI-110 canopy analyzer,and 4.53(2.24-6.34),3.88(1.19-6.28) and 6.63(3.5-8.37) by DBH-leaf area model,respectively.Compared with the results by individual-based leaf area model,the two indirect measurement techniques underestimated the LAI,but there are correlations among the three methods.The individual-based model is considered the most reliable approach for estimating leaf area index but labor consuming.Hemispherical photography proved to be more accurate than the CI-110 canopy analyzer for estimating LAI in the planted forests of the subtropical China.

关 键 词:叶面积指数 叶半比表面积 CI-110 鱼眼镜头 千烟洲 

分 类 号:S758[农业科学—森林经理学]

 

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