Next Article in Journal
A Model to Evaluate the Flooding Opportunity and Sustainable Use of Former Open-Pits
Next Article in Special Issue
A Study on the Mechanisms Linking Environmental Dynamism to Innovation Performance
Previous Article in Journal
Relationships between Organic Beef Production and Agro-Ecosystems in Mountain Areas: The Case of Catalan Pyrenees
Previous Article in Special Issue
What Determines Innovative Performance of International Joint Ventures? Assessing the Effects of Foreign Managerial Control
Open AccessArticle

Prediction of Plant Phenological Shift under Climate Change in South Korea

Department of Environmental Science and Engineering, College of Engineering, Ewha Womans University, Seoul 03760, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(21), 9276; https://doi.org/10.3390/su12219276
Received: 12 October 2020 / Revised: 5 November 2020 / Accepted: 5 November 2020 / Published: 8 November 2020
(This article belongs to the Special Issue Ambidextrous Open Innovation for Sustainability)
Information on the phenological shift of plants can be used to detect climate change and predict changes in the ecosystem. In this study, the changes in first flowering dates (FFDs) of the plum tree (Prunus mume), Korean forsythia (Forsythia koreana), Korean rosebay (Rhododendron mucronulatum), cherry tree (Prunus yedoensis), and peach tree (Prunus persica) in Korea during 1920–2019 were investigated. In addition, the changes in the climatic factors (temperature and precipitation) and their relationship with the FFDs were analyzed. The changes in the temperature and precipitation during the January–February–March period and the phenological shifts of all research species during 1920–2019 indicate that warm and dry spring weather advances the FFDs. Moreover, the temperature has a greater impact on this phenological shift than precipitation. Earlier flowering species are more likely to advance their FFDs than later flowering species. Hence, the temporal asynchrony among plant species will become worse with climate change. In addition, the FFDs in 2100 were predicted based on representative concentration pathway (RCP) scenarios. The difference between the predicted FFDs of the RCP 4.5 and RCP 6.0 for 2100 was significant; the effectiveness of greenhouse gas policies will presumably determine the degree of the plant phenological shift in the future. Furthermore, we presented the predicted FFDs for 2100. View Full-Text
Keywords: plant phenology; climate change; first flowering date; RCP scenario; temperature; asynchrony plant phenology; climate change; first flowering date; RCP scenario; temperature; asynchrony
Show Figures

Figure 1

MDPI and ACS Style

Lee, H.K.; Lee, S.J.; Kim, M.K.; Lee, S.D. Prediction of Plant Phenological Shift under Climate Change in South Korea. Sustainability 2020, 12, 9276. https://doi.org/10.3390/su12219276

AMA Style

Lee HK, Lee SJ, Kim MK, Lee SD. Prediction of Plant Phenological Shift under Climate Change in South Korea. Sustainability. 2020; 12(21):9276. https://doi.org/10.3390/su12219276

Chicago/Turabian Style

Lee, Ha K.; Lee, So J.; Kim, Min K.; Lee, Sang D. 2020. "Prediction of Plant Phenological Shift under Climate Change in South Korea" Sustainability 12, no. 21: 9276. https://doi.org/10.3390/su12219276

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop