Physically based modelling of spectral transmittance through forest canopies

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-08-22 DOI:10.1111/2041-210x.14402
Aarne Hovi, Růžena Janoutová, Zbyněk Malenovský, Daniel Schraik, Jean‐Philippe Gastellu‐Etchegorry, Nicolas Lauret, Jan Novotný, Miina Rautiainen
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Abstract

Physically based models simulating the spectral transmittance of solar radiation through forest canopies are useful tools for examining the connections between the shortwave radiation environment and the productivity and biodiversity of the forest floor. We report a comprehensive evaluation of two approaches simulating forest canopy spectral transmittance. The approaches were (i) three‐dimensional radiative transfer modelling in canopies composed of individual trees filled with turbid media and (ii) photon recollision probability theory (p‐theory), and were implemented using DART‐FT and PARAS models, respectively. The simulations were evaluated against mean and standard deviation of canopy transmittance spectra measured under clear‐sky conditions in forest plots across central and Northern Europe. In general, both models agreed well with the in situ measurements. They performed equally in conifer forests, while PARAS had a slightly lower accuracy than DART‐FT in broadleaved forests. We conclude that both approaches produce realistic simulations of canopy spectral transmittance at the spatial scale tested in this study, and that p‐theory constitutes a computationally efficient and easy‐to‐parameterize alternative to three‐dimensional radiative transfer.
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基于物理的林冠光谱透射率建模
模拟太阳辐射穿过林冠的光谱透射率的物理模型是研究短波辐射环境与林地生产力和生物多样性之间联系的有用工具。我们报告了对两种模拟森林冠层光谱透射率方法的综合评估。这两种方法分别是:(i) 由充满浑浊介质的单个树木组成的树冠中的三维辐射传递建模;(ii) 光子再碰撞概率理论(p 理论),并分别使用 DART-FT 和 PARAS 模型实现。模拟结果与中欧和北欧各地森林地块晴空条件下测得的树冠透射光谱的平均值和标准偏差进行了对比评估。总体而言,两个模型都与现场测量结果吻合。它们在针叶林中的表现相当,而在阔叶林中,PARAS 的精确度略低于 DART-FT。我们的结论是,在本研究测试的空间尺度上,这两种方法都能对树冠光谱透射率进行逼真的模拟,而且 p 理论是三维辐射传递的一种计算效率高、易于参数化的替代方法。
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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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