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| An Integrated Modeling Approach for Predicting Potential Epidemics of Bacterial Blossom Blight in Kiwifruit under Climate Change |
| Kwang-Hyung Kim, Young Jin Koh |
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Plant Pathol J. 2019;35(5):459-472. Published online October 1, 2019 DOI: https://doi.org/10.5423/PPJ.OA.05.2019.0140 |
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An Integrated Modeling Approach for Predicting Potential Epidemics of Bacterial Blossom Blight in Kiwifruit under Climate Change The Plant Pathology Journal. 2019;35(5):459-472  Predicting future frost damage risk of kiwifruit in Korea under climate change using an integrated modelling approach International Journal of Climatology. 2018;38(14):5354-5367 Predicting potential epidemics of rice leaf blast and sheath blight in South Korea under the RCP 4.5 and RCP 8.5 climate change scenarios using a rice disease epidemiology model, EPIRICE Agricultural and Forest Meteorology. 2015;203:191-207 Predicting the potential worldwide distribution of Aedes aegypti under climate change scenarios . 2023; Predicting climate change Climate Change. 2007;321-344 PREDICTING CLIMATE CHANGE Climate Change. 2001;259-276 Predicting potential epidemics of rice diseases in Korea using multi-model ensembles for assessment of climate change impacts with uncertainty information Climatic Change. 2015;134(1-2):327-339 Predicting The Potential Distribution of Campsis Grandiflora In China Under Climate Change . 2021; Modeling and predicting suspended sediment load under climate change conditions: a new hybridization strategy Journal of Water and Climate Change. 2021;12(6):2422-2443 Predicting the future of species assemblages under climate and land use land cover changes in Himalaya: A geospatial modelling approach Climate Change Ecology. 2022;3:100048 |
