Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach

Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach

This study investigated biogenic volatile organic compounds (BVOCs) emitted by tree species, with a specific focus on estimating their ambient air concentrations within the Xitou Nature Education Area, Taiwan. Employing geospatial-based machine learning approaches, which are rarely applied in this c...

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Bibliographic Details
Main Authors: Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Ecological Indicators
Subjects:
α-Pinene
Biogenic volatile organic compounds
Camphene
Forest air quality
Geospatial-based machine learning
Phytoncides
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X2500456X
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