School of Earth, Environmental, & Marine Sciences Faculty Publications and Presentations
Document Type
Article
Publication Date
7-17-2025
Abstract
Native and invasive plants of the riverain region undergo a range of environmental stresses that result in excess reactive oxygen species (ROS). Hydrogen peroxide (H2O2) is a relatively stable and quickly quantifiable way among different ROS. The herbaceous species including Artemisia princeps, Sicyos angulatus, and Solidago altissima were selected. The H2O2 and photosynthetic pigment of leaves were measured, soil samples were analyzed to quantify macronutrients such as total nitrogen (TN), total phosphorus (TP), and soil moisture, and photosynthetic photon flux density (PPFD) was also recorded at different observed sites of Arakawa Tarouemon, Japan. The H2O2 concentration of S. altissima significantly increased with high soil moisture content, whereas A. Princeps and S. angulatus significantly decreased with high soil moisture. In each species, H2O2 was negatively correlated with chlorophyll a (chl a) and chlorophyll b (chl a). When comparing different parameters involving TN, TP, PPFD, and soil moisture content with H2O2 utilizing the general additive model (GAM), only soil moisture content is significantly correlated with H2O2. Hence, this study suggests that H2O2 would be an effective biomarker for quantifying environmental stress within a short time, which can be applied for riparian native and invasive plant species vegetation regulation.
Recommended Citation
Rahman, Mizanur, Takashi Asaeda, Kiyotaka Fukahori, Md Harun Rashid, Hideo Kawashima, Junichi Akimoto, and Refah Tabassoom Anta. "A Rapid Method for Identifying Plant Oxidative Stress and Implications for Riparian Vegetation Management." Environments 12, no. 7 (2025): 247. https://doi.org/10.3390/environments12070247
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Environments
DOI
10.3390/environments12070247
Comments
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).