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Report on Forests Damaged Due to Cutting Trees Infected by Pine Wilt Disease

소나무재선충 고사목 제거에 따른 산림훼손 보고

  • 홍석환 (부산대학교 조경학과) ;
  • 이수동 (경남과학기술대학교 조경학과)
  • Received : 2015.04.21
  • Accepted : 2015.08.05
  • Published : 2015.08.30

Abstract

Despite various control methods for pine wilt disease, the disease has been increasing at an alarming rate every year in Korea. Still there is a lack of research on the problems of the current methods used to curb the disease. One main method to control pine wilt disease is fumigation for eliminating the larva of the pine sawyer beetle (Monochamus alternatus) which is known as the vector insect for pine wilt disease. We surveyed and analyzed the amount of destroyed uninfected trees in the fumigated area by studying 32 survey plots ($100m^2$) in Miryang city. The destroyed trees' crown area was estimated by induced regression between root collar area and crown area of the remaining trees (coniferous tree: $R^2=57.4$, deciduous broad-leaved tree: $R^2=63.8$). According to the analysis results, the infected trees (cut trees) were 18.7% and cut trees which were not infected were 35.5% of the total tree population of the study area on the basis of total crown area. In case of pine trees, 8.4% of uninfected trees were cut off but 62% of uninfected deciduous broad-leaved trees including Quercus spp. were affected and damaged during the fumigation process. Since these broad-leaved trees dominate the sub-canopy layer of the forest, this indiscriminate interruption of broad-leaved trees has the adverse effect of depriving the public benefits such as shadow, a cooler weather, controlling humidity, etc.

소나무재선충병에 대한 다양한 방제방법에도 고사목은 해마다 급격히 증가하고 있다. 그러나 현 방제방법 문제에 대한 연구는 매우 미흡한 실정이다. 재선충 확산 방지를 위해 가장 널리 쓰이는 방법은 병의 매개충인 솔수염하늘소 유충 폐사를 위한 감염목 훈증처리방법이다. 본 연구는 산림 내 소나무재선충 감염목 훈증처리지역에서 훼손 정도를 확인하고자 경상남도 밀양시 일대에 $100m^2$의 조사구 32개소를 설치하여 근원단면적과 수관단면적을 분석하였다. 훼손되지 않은 수목에서 도출한 근원단면적과 수관단면적의 회귀식(침엽수: $R^2=57.4$, 낙엽활엽수: $R^2=63.8$)을 바탕으로 훼손된 수목의 수관단면적을 유추하였다. 분석결과 수관단면적을 기준으로 재선충감염목은 18.7%이었으며 재선충과 무관하게 베어진 수목은 35.5%에 달했다. 소나무류의 경우 8.4%가 재선충과 관계없이 훼손되었으나 참나무류를 포함한 낙엽활엽수류는 훼손비율이 62%에 달했다. 소나무재선충 방재를 위한 훈증처리작업에 따른 아교목층 낙엽활엽수의 무분별한 제거는 산림의 온도저감, 습도조절 등 공익적 기능을 저하할 우려가 높았다.

Keywords

References

  1. Fujihara, M, Y. Hada and G. Toyohara(2002) Changes in the stand structure of a pine forest after rapid growth of Quercus serrata Thunb. For Ecol Manag 170:55-65 https://doi.org/10.1016/S0378-1127(01)00779-4
  2. Fujihara, M.(1996) Development of secondary pine forests after pine wilt disease in western Japan. J Veg Sci 7:729–738 https://doi.org/10.2307/3236384
  3. Korea Forest Service(KFS)(2014) Annual trand report of forest and forestry. KFS. 696pp (in Korean)
  4. MacDonald, L.H. and J.D. Stednick(2003) Forests and water: a state-of-the-art review for Colorado. Colorado Water Resources Research Institute, 65 pp.
  5. Park, I.H.(1985) A study on forest structure and biomass in Baegwoonsan Natural Ecosystem. Ph. D Thesis of Seoul National Univ. 42pp. (in Korean with English abstract)
  6. Richardson, D.M., P.W. Rundel, S.T. Jackson, R.O. Teskey, J. Aronson, A. Bytnerowicz, M.J. Wingfield and S. Proches (2007) Human impacts in pine forests: past, present, and future. Annual Review of Ecology, Evolution, and Systematics 38: 275-297. https://doi.org/10.1146/annurev.ecolsys.38.091206.095650
  7. Rutherford, T.A., Y. Mamiya and J.M. Webster(1990) Nematodeinduced pine wilt disease: factors influencing its occurrence and distribution. For. Sci. 36: 145-155.
  8. Sakamoto, K., N. Fujikawa, K. Yoshikawa and K. Chiba(1995) Stand structure and dynamics of Pinus densiflora forests damaged by pine wilt disease in the southern part of Okayama Prefecture. Journal of the Japanese Society Revegetation Technology 21:109-116.
  9. Suzuki, K. and T. Kiyohara(1978) Influence of water stress on development of pine wilting disease caused by Bursaphelenchus lignicolus. Eur. J. For. Path. 8, 97-107. https://doi.org/10.1111/j.1439-0329.1978.tb00622.x
  10. Takasu, F., N. Yamamoto, K. Kawasaki, K. Togashi, Y. Kishi, and N. Shigesada( 2000) Modeling the expansion of an introduced tree disease. Biol. Inv. 2, 141-150. https://doi.org/10.1023/A:1010048725497
  11. Togashi, K., K. Nakamura, and F. Takahashi(1992) An index of susceptibility of pine stands to pine wilt disease. Appl. Entomol. Zool. 27, 341-347. https://doi.org/10.1303/aez.27.341
  12. von Arx, G., M. Dobbertin and M. Rebetez(2012) Spatio-temporal effects of forest canopy on understory microclimate in a long-term experiment in Switzerland. Agricultural & Forest Meteorology 166: 144-155.
  13. Wu, R., Y. Chen, Z. Chen, X. Lin and D. Liang(2005) Effect of Bursaphelenchus xylophilus disease on vegetation succession in different types of pine forest
  14. Yoshimura, A., K. Kawasaki, F. Takasu, K. Togashi, K. Futai and N. Shigesada (1999) Modeling the spread of pine wilt disease caused by nematodes with pine sawyers as vector. Ecology 80:1691-1702. https://doi.org/10.1890/0012-9658(1999)080[1691:MTSOPW]2.0.CO;2
  15. Yu, M., X. Xu and P. Ding(2011) Economic loss versus ecological gain: the outbreaks of invaded pinewood nematode in China. Biol Invasions 13: 1283-1290. https://doi.org/10.1007/s10530-010-9889-2
  16. Yun, S.L., D.J. Seo, J.H. Lee, C.K. Lee and J.K. Kim(2006) Vegetation change at the damage area of pine wilt disease. Journal of Agriculture & Life Sciences 40(4): 5-12. (in Korean with English abstract)
  17. Zhou, Z.C., Z.P. Shangguan and D. Zhao(2006) Modeling vegetation coverage and soil erosion in the Loess Plateau Area of China. Ecological Modelling 198(1-2): 263-268. https://doi.org/10.1016/j.ecolmodel.2006.04.019