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( Dae-hyeon Byeon ),( Sunghoon Jung ),( Wang-hee Lee ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.2
Potato tuber moth is one of invasive pests attacking potato cultivation around the world and its inhabitation has been changed due to climate change. It has caused nationwide damages in potato production in South Korea since it was introduced in 1968, suggesting the necessity for predicting its potential distribution to establish prevention and countermeasure of it. In this study, hence, we are to predict potential distribution of potato tuber moth in response to climate change. The main tool was CLIMEX software (CLIMEX version 4.0, Hearne software, Melbourne, Australia), implementing species distribution model and assessing species’ geographic suitability. To operate CLIMEX, model parameters were initially set up from biological information of potato tuber moth, and optimal parameter values were determined to have the best fit for the current worldwide distribution. After completing parameter estimation, the current climatic information and climate change scenario were inserted into CLIMEX to simulate the potential distribution of potato tuber moth. With the application of RCP 8.5 climate change scenario, climatic suitability of potato tuber moth in South Korea would be increased by time. Also, the highest Ecoclimatic Index (an index evaluating geographic suitability) was observed in Gyeongsang-do centered around Daegu.
Review of CLIMEX and MaxEnt for studying species distribution in South Korea
Byeon, Dae-hyeon,Jung, Sunghoon,Lee, Wang-Hee Elsevier Science B.V. Amsterdam 2018 Journal of Asia-Pacific biodiversity(Online) Vol.11 No.3
<P><B>Abstract</B></P> <P>The use of species distribution modeling to predict the possible extent of suitable habitat for significant pests has been accepted as an efficient method for determining effective management and countermeasures. CLIMEX and MaxEnt are widely used software for creating species distribution models. CLIMEX predicts climatic suitability of a specific region for target species, whereas MaxEnt uses various environmental variables with presence-only data to assess potential distribution. The software has so far mainly been used for assessing large countries and continents but scarcely used to assess relatively small areas such as South Korea. The objective of this study was to review previous CLIMEX- and MaxEnt-based studies in South Korea and their effectiveness in predicting the distribution of species that could cause nation-wide damage. We expect that, by reviewing recently used species distribution models and their results, this study will provide the basic information necessary to predict potential species distribution.</P>
Byeon, Dae-hyeon,Jung, Sunghoon,Mo, Changyeun,Lee, Wang-Hee Korean Society for Agricultural Machinery 2018 바이오시스템공학 Vol.43 No.4
Purpose: CLIMEX, a species distribution modeling tool, includes various types of parameters representing climatic conditions; the estimation of these parameters directly determines the model accuracy. In this study, we investigated the sensitivity of parameters for the climatic suitability calculated by CLIMEX for Metcalfa pruinosa in South Korea. Methods: We first changed 12 parameters and identified the three significant parameters that considerably affected the CLIMEX simulation response. Results: The result indicated that the simulation was highly sensitive to changes in lower optimal temperatures, lower soil moisture thresholds, and cold stress accumulation rate based on the sensitivity index, suggesting that these were the fundamental parameters to be used for fitting the simulation into the actual distribution. Conclusion: Sensitivity analysis is effective for estimating parameter values, and selecting the most important parameters for improving model accuracy.