Suppr超能文献

使用便携式辐射计估算威斯康星州南部14个森林林分的叶面积指数。

Estimation of leaf area index in fourteen southern Wisconsin forest stands using a portable radiometer.

作者信息

Bolstad Paul V., Gower Stith T.

机构信息

Institute of Environmental Studies, Environmental Monitoring Program, University of Wisconsin, Madison, WI 53706, USA.

出版信息

Tree Physiol. 1990 Dec;7(1_2_3_4):115-124. doi: 10.1093/treephys/7.1-2-3-4.115.

Abstract

Projected leaf area index (LAI) and Beer-Lambert Law extinction coefficients (K) were estimated for 28-year-old Picea abies (L.) Karst., Larix decidua Mill., Pinus resinosa Ait., and Pinus strobus L. plantations using vertical profile data obtained with a portable integrating radiometer (sunfleck ceptometer). Predicted LAI values were compared with direct measures of LAI. Based on dimensional analysis, LAI ranged from 5.0 for Larix decidua to 10.5 for Picea abies. Significant inverse relationships between cumulative LAI and canopy transmitted radiation were observed for the four species (R(2) = 0.92-0.97). Beer-Lambert extinction coefficients ranged from 0.39 for Picea abies to 0.84 for Pinus strobus. Stand-level predictions of LAI based on the Beer-Lambert Law were compared with measured LAI values for eight conifer and six broadleaf stands. Using local K estimates resulted in predicted LAI values with an average 6% error. Using published K values resulted in an average error of 20%. High LAI and concomitantly low light levels below the canopy of Picea abies stands resulted in large overestimation errors in predicted LAI, rendering the sunfleck ceptometer inappropriate for forests with large LAIs.

摘要

利用便携式积分辐射计(光斑接受仪)获取的垂直剖面数据,估算了树龄为28年的欧洲云杉、欧洲落叶松、北美红杉和北美乔松人工林的叶面积指数(LAI)预测值以及比尔-朗伯定律消光系数(K)。将预测的LAI值与LAI的直接测量值进行了比较。基于量纲分析,欧洲落叶松的LAI范围为5.0,欧洲云杉为10.5。观察到这四个树种的累积LAI与冠层透射辐射之间存在显著的负相关关系(R² = 0.92 - 0.97)。比尔-朗伯消光系数范围为欧洲云杉的0.39至北美乔松的0.84。将基于比尔-朗伯定律的LAI林分水平预测值与八个针叶林和六个阔叶林分的实测LAI值进行了比较。使用当地的K估计值得出的预测LAI值平均误差为6%。使用已发表的K值平均误差为20%。欧洲云杉林冠层下方的高LAI以及随之而来的低光照水平导致预测LAI出现较大的高估误差,这使得光斑接受仪不适用于LAI较大的森林。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验