- Volume 38 Issue 4
DOI QR Code
Prediction of changes in distribution area of Scopura laminate in response to climate changes of the Odaesan National Park of South Korea
Kwon, Soon Jik;Kim, Tae Geun;Park, Youngjun;Kwon, Ohseok;Cho, Youngho
- Received : 2015.06.04
- Accepted : 2015.10.14
- Published : 2015.11.28
This study was performed to provide important basic data for the preservation and management of Scopura laminata, a species endemic to Korea, by elucidating the spatial characteristics of its present, potential, and future distribution areas. Currently, this species is found in the Odaesan National Park area of South Korea and has been known to be restricted in its habitat due to its poor mobility, as even fully grown insects do not have wings. Utilizing the MaxEnt model, 20 collection points around Odaesan National Park were assessed to analyze and predict spatial distribution characteristics. The precision of the MaxEnt model was excellent, with an AUC value of 0.833. Variables affecting the potential distribution area of S. laminata by more than 10% included the range of annual temperature, seasonality of precipitation, and precipitation of the driest quarter, in order of greatest to least impact. Compared to the current potential distribution area, no significant difference in the overall habitable area was predicted for the 2050s or 2070s. It was, however, demonstrated that the potential habitable area would be reduced in the 2050s by up to 270.3 km from the current area of 403.9 km; further, no potential habitable area was anticipated by the 2070s according to our predictive model. Taken together, it is anticipated that this endemic species could be significantly affected by climate changes, and hence effective countermeasures are strongly warranted for the preservation of habitats and species management.
climate change;endemic species;MaxEnt;Odaesan National Park;Scopura laminata;species conservation
- Allan JD, Castillo MM. 2007. Stream Ecology; Structure and Function of Running waters 2nd Ed, Springer, Dordrecht.
- Baldwin RA. 2009. Use of maximum entropy modeling in wildlife research. Entropy 11: 854-866. https://doi.org/10.3390/e11040854
- Choi Y. 2002. Trends in daily precipitation events and their extremes in the southern region of Korea. Korean Soc Environ Impact Assess 76: 189-203.
- Chung NI, Park BK, Kim KH. 2011. Potential effect of increased water temperature on fish habitats in Han river watershed. J Korean Soc Water Environ 27: 314-321.
- Elith J, Phillips SJ, Hastie T, Dudik M, Chee YE, Yates CJ. 2011. A statistical explanation of MaxEnt for ecologists. Divers Distrib 17: 43-57. https://doi.org/10.1111/j.1472-4642.2010.00725.x
- Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25: 1965-1978. https://doi.org/10.1002/joc.1276
- Jin YH, Bae YJ. 2005. The wingless stonefly family Scopuridae (Plecoptera) in Korea. Aquat Insects 27: 21-34. https://doi.org/10.1080/01650420400021417
- Kang H, Park MY, Jang JH. 2013. Effect of climate change on fish habitat in the Nakdong river watershed. J Korea Water Resour Assoc 46: 1-12. https://doi.org/10.3741/JKWRA.2013.46.1.1
- Kaushal SS, Likens GE, Jaworski NA, Pace ML, Sides AM, Seekell D, Belt KT, Secor DH, Wingate RL. 2010. Rising stream and river temperatures in the United States. Front Ecol Environ 8: 461-466. https://doi.org/10.1890/090037
- Komatsu T. 1970. Notes on the growth of nymph of Scopura longa Uéno (Plecoptera). New Insect 14: 37-40.
- Kong DS, Kim JY, Son SH, Oh MW, Choi AR, Byeon MS. 2013. Development and application of Korean Thermality Index (KTI) for biological assessment on climate change. J Korean Soc Water Evniron 29: 114-126.
- Lee JH, Jee YG, Lee TY, Shin HS, Kim SD. 2011. Water resources system network building for climate change (II). Korea Environment Institute , Seoul.
- Phillips SJ, Anderson RP, Schapire RE. 2006. Maximum entropy modeling of species geographic distributions. Ecol Model 190: 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
- Phillips SJ, Dudik M. 2008. Modeling of species distributions with MaxEnt: new extensions and a comprehensive evaluation. Ecography 31: 161-175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
- Uchida S, Maruyama H. 1987. What is Scopura longa Uéno, 1929 (Insecta, Plecoptera)? A revision of the genus. Zool Sci 4: 699 -709.
- Uéno M. 1938. Scopuridae an aberrant Family of the Order Plecoptera. Insecta Matsumurana 2: 154-159.
- Underwood AJ. 1996. Spatial and temporal problems with monitoring. In: River restoration. Selected extracts from the Rivers Handbook (Petts G and Calow P, eds). Blackwell Science, Oxford, pp182-204.
- WorldClim. 2005. WorldClim - Global Climate Data. http://www.worldclim.org. Accessed 20 August 2009.
- Yoon IB, Aw SJ. 1985. A taxonomic study on the stonefly (Plecoptera) nymphs of Korea (I) - Suborder Holognatha and Systellognatha. Entomol Res Bull 11: 111-139.