| 毛竹林叶面积指数和郁闭度空间分布协同克里格估算 |
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| 引用本文： | 赵 晓,吕玉龙,王 聪,李亚丹,杜华强.毛竹林叶面积指数和郁闭度空间分布协同克里格估算[J].浙江农林大学学报,2014,31(4):560-569. |
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| 作者姓名： | 赵 晓 吕玉龙 王 聪 李亚丹 杜华强 |
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| 作者单位： | 1. 浙江农林大学 浙江省森林生态系统碳循环与固碳减排重点实验室，浙江 临安 311300；2. 浙江农林大学 环境与资源学院，浙江 临安 311300；3. 浙江省安吉县林业局，浙江 安吉 313300 |
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| 基金项目： | 国家自然科学基金资助项目(31070564);浙江省林业碳汇与计量创新团队资助项目(2012R10030-01);浙江省本科院校中青年学科带头人学术攀登计划项目(pd2013239);浙江农林大学农林碳汇与生态环境修复研究中心预研基金资助项目 |
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| 摘 要： | 在地面调查的基础上,利用协同克里格插值法对研究区内毛竹Phyllostachys edulis林叶面积指数(LAI,leaf area index)和冠层郁闭度(CC,canopy closure)2个冠层参数进行空间分布估算研究,并与普通克里格插值法进行了比较。研究结果表明:①球状模型可以用来反映LAI和CC的空间变异,且两者具有强烈的空间自相关特征。②协同克里格插值得到的LAI预测值与实测值之间的决定系数R2为0.635 1,而CC的决定系数R2为0.428 5;与普通克里格法相比,基于协同克里格法的LAI和CC预测精度均得到改善,其中LAI预测精度提高了1.94%,均方根误差减少2.00%,平均标准误差减少0.18%,而CC预测精度提高了4.82%,均方根误差减少1.90%,平均标准误差减少1.30%。③安吉县毛竹林LAI和CC都具有从西南到东北逐渐递减空间分布格局,在一定程度上反映了安吉县不同区域毛竹林经营水平的差异。
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| 关 键 词： | 森林生态学 毛竹林 叶面积指数 冠层郁闭度 协同克里格 |
| 收稿时间： | 2013-11-04; |
Spatial distribution for leaf area index and canopy closure of Phyllostachys edulis stand using Cokriging |
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| ZHAO Xiao Lü,Yulong,WANG Cong,LI Yadan,DU Huaqiang.Spatial distribution for leaf area index and canopy closure of Phyllostachys edulis stand using Cokriging[J].Journal of Zhejiang A&F University,2014,31(4):560-569. |
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| Authors: | ZHAO Xiao Lü Yulong WANG Cong LI Yadan DU Huaqiang |
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| Institution: | 1. Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang A & F University, Lin’an 311300, Zhejiang, China; 2. School of Environmental and Resource Sciences, Zhejiang A & F University, Lin’an 311300, Zhejiang, China; 3. Forest Enterprise of Anji County, Anji 313300, Zhejiang, China |
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| Abstract: | The study provides a new method for estimating leaf area index （LAI） and canopy closure （CC） of a Phyllostachys edulis stand. Through on ground investigation, spatial distribution of leaf area index and canopy closure were estimated using Cokriging and compared to Kriging. On that basis the spatial distribution pattern maps of canopy parameters for Phyllostachys edulis stand of Anji County, Zhejiang Province were mapped. Results showed that：（1） Geostatistical analysis showed a spherical model with the spatial variation of LAI and CC both having strong spatial autocorrelation features. （2） Cokriging improved the prediction accuracies with the coefficient of determination （R2） between predicted and measured values for LAI （0.635 1） and for CC （0.428 5）. Also with Cokriging for LAI a decrease in the root mean square error （RMSE） （2.00 %） and the average standard error （ASE） （0.18%） was found; whereas, for CC a decrease in RMSE （1.90 %） and ASE （1.30%） was measured. Additionally with Cokriging, prediction accuracy values increased for LAI （1.94%） and for CC （4.82%）. （3） The spatial distribution pattern maps of canopy parameters for the Phyllostachys edulis stand from Anji County, Zhejiang Province showed a gradual decrease in canopy coverage from southwest to northeast. Thus, Cokriging improved prediction accuracies of LAI and CC compared to Kriging, and canopy coverage reflected differences in Ph. edulis forest management for different regions of Anji County. ［Ch, 7 fig. 4 tab. 37 ref.］ |
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| Keywords: | forest ecology Phyllostachys edulis standPhyllostachys edulis stand leaf area index canopy closure Cokriging |
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