The Environmental Light Characteristics of Forest Under Different Logging Regimes

ABSTRACT Light is a fundamental attribute and key abiotic driver in forest ecosystems. Although the ecological effects of light itself is well studied, capturing the complex parameters that constitute the whole light environment remain an intricate research endeavor. Here, we apply the newly introduced environmental light field (ELF) technique in Kibale National Park, Uganda. We captured whole light scenes with repeat photography and processed it to measure both the spectral composition of light in the red‐green‐blue range, as well as its variation, or “contrast‐span”, using the newly introduced International System of Units (SI); “lit”. We compare across major and globally common utilized forest types—primary, secondary, and selectively logged areas, as well as a completely cleared area as a control. We find that the ELF system is able to effectively capture key aspects of the local light environment across the range of forest types. The distribution of light intensity and its spectral composition across our study is hardly uniform, with primary forest and a clearing showing two orders of magnitude difference in light. Blue light predominates the sky areas of the clearing, indicating the Rayleigh scattering of sunlight in the atmosphere. In general, radiance decrease with increasing intactness of the forest, and selectively logged and primary forest show the most similar environmental light characteristics. Owing to its ability to capture fine scale variations in light across elevation gradients, their spectral characteristics, as well as their intensities, the ELF system should become a useful tool in better quantifying light in ecology. In particular, we discuss its potential use in restoration ecology.

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Publication Details

Journal
Ecology and Evolution
Published
2024-12-01
DOI
https://doi.org/10.1002/ece3.70623
Citations
3
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.62

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article

The Environmental Light Characteristics of Forest Under Different Logging Regimes

Bernard W. T. Coetzee, Layla van Zyl
3 citations
Ecology and Evolution
Remote Sensing and LiDAR Applications
0.62
article

The Environmental Light Characteristics of Forest Under Different Logging Regimes

Bernard W. T. Coetzee, Layla van Zyl
article en
3 citations

Abstract

ABSTRACT Light is a fundamental attribute and key abiotic driver in forest ecosystems. Although the ecological effects of light itself is well studied, capturing the complex parameters that constitute the whole light environment remain an intricate research endeavor. Here, we apply the newly introduced environmental light field (ELF) technique in Kibale National Park, Uganda. We captured whole light scenes with repeat photography and processed it to measure both the spectral composition of light in the red‐green‐blue range, as well as its variation, or “contrast‐span”, using the newly introduced International System of Units (SI); “lit”. We compare across major and globally common utilized forest types—primary, secondary, and selectively logged areas, as well as a completely cleared area as a control. We find that the ELF system is able to effectively capture key aspects of the local light environment across the range of forest types. The distribution of light intensity and its spectral composition across our study is hardly uniform, with primary forest and a clearing showing two orders of magnitude difference in light. Blue light predominates the sky areas of the clearing, indicating the Rayleigh scattering of sunlight in the atmosphere. In general, radiance decrease with increasing intactness of the forest, and selectively logged and primary forest show the most similar environmental light characteristics. Owing to its ability to capture fine scale variations in light across elevation gradients, their spectral characteristics, as well as their intensities, the ELF system should become a useful tool in better quantifying light in ecology. In particular, we discuss its potential use in restoration ecology.

Ecology and EvolutionVol. 14(12)
University of Pretoria (ZA)
Tropical Biology Association
Life in Land
Openalex Percentile: Top 34%
Remote Sensing and LiDAR Applications
0.62
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