Application of Hydrogen Peroxide as an Environmental Stress Indicator for Vegetation Management

Takashi Asaeda, Senavirathna Mudalige Don Hiranya Jayasanka, Li-Ping Xia, Abner Barnuevo

Engineering ›› 2018, Vol. 4 ›› Issue (5) : 610-616.

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Engineering ›› 2018, Vol. 4 ›› Issue (5) : 610-616. DOI: 10.1016/j.eng.2018.09.001
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Research Watershed Ecology—Article

Application of Hydrogen Peroxide as an Environmental Stress Indicator for Vegetation Management

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Abstract

Adaptive vegetation management is time-consuming and requires long-term colony monitoring to obtain reliable results. Although vegetation management has been widely adopted, the only method existing at present for evaluating the habitat conditions under management involves observations over a long period of time. The presence of reactive oxygen species (ROS) has long been used as an indicator of environmental stress in plants, and has recently been intensely studied. Among such ROS, hydrogen peroxide (H2O2) is relatively stable, and can be conveniently and accurately quantified. Thus, the quantification of plant H2O2 could be applied as a stress indicator for riparian and aquatic vegetation management approaches while evaluating the conditions of a plant species within a habitat. This study presents an approach for elucidating the applicability of H2O2 as a quantitative indicator of environmental stresses on plants, particularly for vegetation management. Submerged macrophytes and riparian species were studied under laboratory and field conditions (Lake Shinji, Saba River, Eno River, and Hii River in Japan) for H2O2 formation under various stress conditions. The results suggest that H2O2 can be conveniently applied as a stress indicator in environmental management.

Keywords

Macrophytes / Riparian zone / Environmental gradient / Stress indicator / Reactive oxygen species / Hydrogen peroxide

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Takashi Asaeda, Senavirathna Mudalige Don Hiranya Jayasanka, Li-Ping Xia, Abner Barnuevo. Application of Hydrogen Peroxide as an Environmental Stress Indicator for Vegetation Management. Engineering, 2018, 4(5): 610‒616 https://doi.org/10.1016/j.eng.2018.09.001

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Acknowledgements

This work was financially supported by grant-in-aid from the Japan Society for the Promotion of Science, Scientific Research (15H04045), Development Grant for River Management Technology from the Ministry of Land, Infrastructure, Transportation and Tourism, Japan, River Fund from the River Foundation of Japan, and Watershed Ecology Research Group of WEC.

Compliance with ethics guidelines

Takashi Asaeda, Senavirathna Mudalige Don Hiranya Jayasanka, Li-Ping Xia, and Abner Barnuevo declare that they have no conflict of interest or financial conflicts to disclose.

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