DOI QR코드

DOI QR Code

Predicting Potential Distribution of Monochamus alternatus Hope responding to Climate Change in Korea

기후변화에 따른 솔수염하늘소(Monochamus alternatus) 잠재적 분포 변화 예측

  • 김재욱 (한국환경정책.평가연구원) ;
  • 정휘철 (한국환경정책.평가연구원) ;
  • 박용하 (한국환경정책.평가연구원)
  • Received : 2016.09.08
  • Accepted : 2016.11.14
  • Published : 2016.12.01

Abstract

Predicting potential spatial distribution of Monochamus alternatus, a major insect vector of the pine wilt disease, is essential to the spread of the pine wilt disease. The purpose of this study was to predict future domestic spatial distribution of M. alternatus by using the CLIMEX model considering the temperature condition of the vector's life history. To predict current distribution of M. alternatus, the administrative divisions data where the pine wilt spots caused by M. alternatus were found from 2006 to 2014 and the 10-year mean climate observed data in 68 meteorological stations from 2006 to 2015 were used. Eight parameter sets were chosen based on growth temperature range of M. alternatus reported in preceding researches. Error matrix method was utilized to select and simulate the parameter sets showing the highest correlation with the actual distribution. Regarding the future distribution of M. alternatus, two periods of 2050s(2046-2055) and 2090s(2091-2100) were predicted using the projected climate data of RCP 8.5 Scenario generated from Korea Meteorological Administration. Overall results of M. alternatus distribution simulation were fit in the actual distribution; however, overestimation in Seoul Metropolitan area and Chungnam Region were shown. Gradual expansion of M. alternatus would be expected to nationwide from western and southern coastal areas of Korea peninsula.

소나무재선충병의 주요 매개체인 솔수염하늘소(Monochamus alternatus)의 잠재적 공간 분포를 예측하는 것은 소나무재선충병 확산 대응을 위해 필수적이다. 본 연구에서는 매개체의 생활사에 관한 온도 조건을 고려한 CLIMEX 모형을 이용하여 우리나라의 솔수염하늘소의 현재와 미래 공간분포를 예측하였다. 솔수염하늘소의 현재 분포를 모델링하기 위하여 2006년부터 2014년까지 솔수염하늘소가 발견된 행정구역 자료와 2006년부터 2015년까지 68개 기상관측지점의 10년 평균 기후자료를 이용하였다. 선행 연구를 통해 알려진 솔수염하늘소의 생육 온도 범위를 고려한 8개의 매개변수군을 작성하고, Error matrix 방법을 이용해 실제 분포와 상관성이 가장 높은 매개변수군을 선정하여 모의하였다. 솔수염하늘소의 미래 분포는 기상청 RCP 8.5 시나리오의 기후 전망 자료를 이용하여 2050년대(2046년-2055년)와 2090년대(2091년-2100년) 두 시기를 대상으로 전망하였다. 현재의 솔수염하늘소 분포 모의는 수도권과 충남지역이 다소 과대하나 전반적인 실제 분포와 유의성 있게 일치하였다. 미래 기후변화 환경 조건에서는 솔수염하늘소는 서해안과 남해안 지역에서 점차 전국적으로 확대될 것으로 예측되었다.

Keywords

References

  1. Barbosa, F.G., Schneck, F., Melo, A.S., 2012. Use of ecological niche models to predict the distribution of invasive species: a scientometric analysis. Braz. J. Biol.. 72, 821-829. https://doi.org/10.1590/S1519-69842012000500007
  2. Cheng, G., Lv, Q., Feng, Y., Li, Y., Wang, Y., Zhang, X., 2015. Temporal and Spatial Dynamic Pattern of Pine Wilt Disease Distribution in China Predicted under Climate Change Scenario. Scientia Silvae Sinicae. 51, 119-126. [Chinese Literature]
  3. Choi, W.I. et al., 2015. Annual Report of Monitoring for Forest Insect Pests and Diseases in Korea. Research Report of National Institute of Forest Science. No. 15-02 (Translated to English by authors).
  4. Chung, Y.J., 2015. We should eradicate pine wilt disease. Korean society of hazard mitigation. 15, 124-128.
  5. Davis, E.E., Albercht, E.M., Venette, R.C., 2008. Monochamus alternatus. In: Venette, R.C. Exotic Pine Pests: Survey Reference, USDA Forest Service.
  6. Enda, N., 1976. Biology of the Japanese pine sawyer, Monochamus alternatus Hope. Shinrin Boeki (Forest Pests). 25, 182-185. [Japanese Literature]
  7. Enda, N., 1980. Period from pupation to emergence of the pine sawyer. Trans. 32nd Ann. Meet. Kanto Branch Jpn. For. Soc.. 91-92. [Japanese Literature]
  8. Estay, S.A., Labra, F.A., Sepulveda, R.D. Bacigalupe, L.D., 2014. Evaluating habitat suitability for the establishment of Monochamus spp. through climate-based niche modeling. PLoS ONE. 9, e102592. doi:10.1371/journal.pone.0102592.
  9. Feng, Y., Zhang, H., Lu, Q., Liang, J., Zhang, X., 2009. Quantification of Suitability Distribution Region of Bursaphelenchus xylophilus in China. Scientia Silvae Sinicae. 45, 65-71. [Chinese Literature]
  10. Hanks, L.M., 1999. Influence of the larval host plant on reproductive strategies of cerambycid beetles. Annu. Rev. Entomol.. 44, 483-505. https://doi.org/10.1146/annurev.ento.44.1.483
  11. Hoddle, M.S., 2004. The potential adventive geographic range of glassy-winged sharpshooter, Homalodisca coagulata and the grape pathogen Xylella fastidiosa: implications for California and other grape growing regions of the world. Crop Prot.. 23, 691-699. https://doi.org/10.1016/j.cropro.2003.11.017
  12. Hong, S.H., Lee, S.D., 2015. Report on Forests Damaged Due to Cutting Trees Infected by Pine Wilt Disease. Korean J. Environ. Ecol.. 29, 590-598. https://doi.org/10.13047/KJEE.2015.29.4.590
  13. Igarashi, M., 1980. Biology of the pine sawyer in Tohoku District (IV). Accumulative heat requirement for egg incubation. Trans. 32nd Ann. Meet. Tohoku Branch Jpn. For. Soc.. 187-188. [Japanese Literature]
  14. Jaramillo, J., Muchugu, E., Vega, F.E., Davis, A., Borgemeister, C., Chabi-Olaye, A., 2011. Some Like It Hot: The Influence and Implications of Climate Change on Coffee Berry Borer (Hypothenemus hampei) and Coffee Production in East Africa. PLoS ONE. 6(9), e24528. doi: 10.1371/journal.pone.0024528.
  15. Jung, C.S. et al., 2009. Study on the ecological characteristic of pine wilt disease. Research Report of National Institute of Forest Science. No. 9-21 (Translated to English by authors).
  16. Kimura, S., 1974. Development and growth of the pine sawyer in relation to temperature (I). The influence of low temperatures on the larval period of pupation. Trans. 26th Ann. Meet. Tohoku Branch Jpn. For. Soc.. 141-144. [Japanese Literature]
  17. Kimura, S., Yanbe, T., Igarashi, M., 1975. Distribution and life history of the pine sawyer in Tohoku District. Ann. Rep. Tohoku Branch Gov. For. Exp. Stn.. 16, 101-108. [Japanese Literature]
  18. Kobayashi, F., Yamane, A., Ikeda, T., 1984. The Japanese Pine Sawyer Beetle as the Vector of Pine Wilt Disease. Annu. Rev. Entomol.. 29, 115-135. https://doi.org/10.1146/annurev.en.29.010184.000555
  19. Kocmankova, E., Trnka, M., Eitzinger, J., Formayer, H., Dubrovsky, M., Semeradovaa, D., Zalud, Z., Juroch, J., Mozny, M., 2010. Estimating the impact of climate change on the occurrence of selected pests in the Central European region. Clim. Res.. 44, doi: 10.3354/cr00905.
  20. Korea Forest Service, 2015. The Statistical Yearbook of Forestry 2015.
  21. Kriticos, D.J., Maywald, G.F., Yonow, T., Zurcher, E.J., Herrmann, N.I., Sutherst, R.W., 2015. CLIMEX Version 4: Exploring the effects of climate on plants, animals and diseases. CSIRO, Canberra.
  22. Kriticos, D.J., Sutherst, R.W., Brown, J.R., Adkins, S.W., Maywald, G.F., 2003. Climate change and the potential distribution of an invasive alien plant: Acacia nilotica ssp. indica in Australia. J. Appl. Ecol. 40, 111-124. https://doi.org/10.1046/j.1365-2664.2003.00777.x
  23. Kwon, T.S., Ryu, S.B., Lee, C.K., Shin, S.C., Chung, Y.J., Park, Y.S., Lim, J.H., Sim, S.J., Kwon, Y.D., Son, S.K., Lee, K.Y., Kim, Y.T., Park, J.W., Shin, C.H., 2006. Distribution patterns of Monochamus alternatus and M. saltuarius (Coleoptera : Cerambycidae) in Korea. J. Korean For. Soc.. 95, 543-550.
  24. Kwon, T.S. et al., 2008. The control of pine wilt disease using clear cut method. Research data of National Institute of Forest Science. No. 322 (Translated to English by authors).
  25. Lee, S.M. et al., 2010. Study on the control of pine wilt disease in Korea. Research Report of National Institute of Forest Science. No. 10-33 (Translated to English by authors).
  26. Lee, Y.H. et al., 2014. Project of pine wilt disease and control policy. Korea Rural Economic Institute of Agricultural Policy Focus. No. 87 (Translated to English by authors).
  27. Li, M., Liu, M., Liu, M., Ju, Y., 2010. Prediction of Pine Wilt Disease in Jiangsu Province Based on Web Dataset and GIS. Wang et al. (Eds.): Web Information Systems and Mining 2010, LNCS 6318, 146-153.
  28. Ma, F., Gong, G., He, Y., Qiu, G., Wang, Z., 2014. The potential geographic distribution of Phytophthora hibernalis Carne based on the CLIMEX in China. Plant Protection. 40, 138-142. [Chinese Literature]
  29. Nagai, M., Enda, N., 1974. Changes in oviposition activities of the pine sawyer. Trans. 85th Ann. Meet. Jpn. For. Soc.. 225-226. [Japanese Literature]
  30. Nakamura, K., Noguchi, E., 2006. Estimating the distribution of naturally suppressed area of pine wilt disease epidemic using a thermal index. The Japanese Forest Society Congress 117. PF16. [Japanese Literature]
  31. National Institute of Forest Science, 2014. NEW Ecology & Control of Pine Wilt Disease. No. 14-22 (Translated to English by authors).
  32. Okuda, M., 1973. Development and growth of pine sawyer larvae under different temperature conditions. Trans. 24th Ann. Meet. Kansai Branch Jpn. For. Soc.. 146-149. [Japanese Literature]
  33. Olfert, O., Hallett, R., Weiss, R.M., Soroka, J., Goodfellow, S., 2006. Potential distribution and relative abundance of swede midge, Contarinia nasturtii, an invasive pest in Canada. Entomol. Exp. Appl.. 120, 221-228. https://doi.org/10.1111/j.1570-7458.2006.00445.x
  34. Park, J.J., Mo, H.H., Lee, G.S., Lee, S.E., Lee, J.H., Cho, K.J., 2014. Predicting the potential geographic distribution of Thrips palmi in Korea, using the CLIMEX model. Entomol. Res.. 44, 47-57. https://doi.org/10.1111/1748-5967.12049
  35. Park, N.C., Moon, Y.S., Lee, S.M., Park, J.D., Kim, K.S., 1992. Effects of Temperature on the Development of Monochamus alternatus Hope (Coleoptera: Cerambycidae). Research Report of Forest Research Institute. 44, 151-156.
  36. Shabani, F., Kumar, L., Esmaeili, A., 2013. Use of CLIMEX, Land use and Topography to Refine Areas Suitable for Date Palm Cultivation in Spain under Climate Change Scenarios. J. Earth Sci. Clim. Change. 4, http://dx.doi.org/10.4172/2157-7617.1000145.
  37. Song, H.M., Xu, R.M., 2006. Global potential geographical distribution of Monochamus alternatus. Chinese Bulletin of Entomology. 43, 535-539. [Chinese Literature]
  38. Stehman, S.V., 1997. Selecting and Interpreting Measures of Thematic Classification Accuracy. Remote. Sens. Environ.. 62, 77-89. https://doi.org/10.1016/S0034-4257(97)00083-7
  39. Sturrock, R.N., Frankel, S.J., Brown, A.V., Hennon, P.E., Kliejunas, J.T., Lewis, K.J., Worrall, J.J., Woods, A.J., 2011. Climate change and forest diseases. Plant Pathol.. 60, 133-149. https://doi.org/10.1111/j.1365-3059.2010.02406.x
  40. Vera, M.T., Rodriguez, R., Segura, D.F., Cladera, J.L., Sutherst, R.W., 2002. Potential geographical distribution of the mediterranean fruit fly, Ceratitis capitata (Diptera: Tephritidae), with emphasis on Argentina and Australia. Environ. Entomol.. 31, 1009-1022. https://doi.org/10.1603/0046-225X-31.6.1009
  41. Wang, Y., Watson, G.W., Zhang, R., 2010. The potential distribution of an invasive mealybug Phenacoccus solenopsis and its threat to cotton in Asia. Agric. For. Entomol.. 12, 403-416. https://doi.org/10.1111/j.1461-9563.2010.00490.x
  42. Ye, J.X., Zhou, R.L., Wu, M.S., Liu, Z.J., Shi, L., 2013. Spatial Simulation of the Adaptability of Monochamus alternatus Hope in Yunnan Province. Forest Research. 26(4), 420-425. [Chinese Literature]