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http://dx.doi.org/10.5333/KGFS.2021.41.3.189

Climate Change Vulnerability Assessment of Cool-Season Grasslands Based on the Analytic Hierarchy Process Method  

Lee, Bae Hun (National Institute of Animal Science, RDA)
Cheon, Dong Won (National Institute of Animal Science, RDA)
Park, Hyung Soo (National Institute of Animal Science, RDA)
Choi, Ki Choon (National Institute of Animal Science, RDA)
Shin, Jeong Seop (National Institute of Animal Science, RDA)
Oh, Mi Rae (National Institute of Animal Science, RDA)
Jung, Jeong Sung (National Institute of Animal Science, RDA)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.41, no.3, 2021 , pp. 189-197 More about this Journal
Abstract
Climate change effects are particularly apparent in many cool-season grasslands in South Korea. Moreover, the probability of climate extremes has intensified and is expected to increase further. In this study, we performed climate change vulnerability assessments in cool-season grasslands based on the analytic hierarchy process method to contribute toward effective decision-making to help reduce grassland damage caused by climate change and extreme weather conditions. In the analytic hierarchy process analysis, vulnerability was found to be influenced in the order of climate exposure (0.575), adaptive capacity (0.283), and sensitivity (0.141). The climate exposure rating value was low in Jeju-do Province and high in Daegu (0.36-0.39) and Incheon (0.33-0.5). The adaptive capacity index showed that grassland compatibility (0.616) is more important than other indicators. The adaptation index of Jeollanam-do Province was higher than that of other regions and relatively low in Gangwon-do Province. In terms of sensitivity, grassland area and unused grassland area were found to affect sensitivity the most with index values of 0.487 and 0.513, respectively. The grassland area rating value was low in Jeju-do and Gangwon-do Province, which had large grassland areas. In terms of vulnerability, that of Jeju-do Province was lower and of Gyeongsangbuk-do Province higher than of other regions. These results suggest that integrating the three aspects of vulnerability (climate exposure, sensitivity, and adaptive capacity) may offer comprehensive and spatially explicit adaptation plans to reduce the impacts of climate change on the cool-season grasslands of South Korea.
Keywords
Vulnerability assessment; Climate change; Cool-season grasslands; Analytic hierarchy process;
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1 Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., Kindermann, G., Nakicenovic, N. and Rafaj, P. 2011. RCP 8.5-A scenario of comparatively high greenhouse gas emissions. Climatic Change. 109(1):33-57. doi: 10.1007/s10584-011-0149-y   DOI
2 Emadodin, I., Corral, D.E.F., Reinsch, T., Kluss, C. and Taube, F. 2021. Climate change effects on temperate grassland and its implication for forage production: A case study from Northern Germany. Agriculture. 11(3):232. doi:10.3390/agriculture11030232   DOI
3 Glick, P., Stein, B.A. and Edelson, N.A. 2011. Scanning the conservation horizon: A guide to climate change vulnerability assessment. Washington, DC: National Wildlife Federation. p. 168.
4 Hashimoto, A. 1994. A note on deriving weights from pairwise comparison ratio matrices. European Journal of Operational Research. 73(1):144-149. doi:10.1016/0377-2217(94)90153-8   DOI
5 Hopkins, A. and Del Prado, A. 2007. Implications of climate change for grassland in Europe: Impacts, adaptations and mitigation options: A review. Grass and Forage Science. 62(2):118-126. doi:10.1111/j.1365-2494.2007.00575.x   DOI
6 Hunt, H., Trlica, M., Redente, E., Moore, J., Detling, J., Kittel, T., Walter, D., Fowler, M., Klein, D. and Elliott, E. 1991. Simulation model for the effects of climate change on temperate grassland ecosystems. Ecological Modelling. 53:205-246. doi:10.1016/0304-3800(91)90157-V   DOI
7 IPCC 2001. 2001. Third assessment report-Summary for policy makers.
8 Jung, J.S., Kim, J.G., Park, H.S., Lee, S.H., Kim, H.S., Kim, W.H., Kim, Y.J. and Choi, G.J. 2016. The effects of improvement of botanical composition technology application on botanical composition and dry matter productivity in Rumex acetosella dominated hilly pasture. Journal of the Korean Society of Grassland and Forage Science. 36(2):81-88. doi:10.5333/KGFS.2016.36.2.81   DOI
9 De Boeck, H.J., Hiltbrunner, E., Verlinden, M., Bassin, S. and Zeiter, M. 2018. Legacy effects of climate extremes in alpine grassland. Frontiers in Plant Science. 9:1586. doi:10.3389/fpls.2018.01586   DOI
10 Jung, J.S., Kim, J.G., Kim, H.S., Park, H.S., Choi, K.C., Ji, H.J., Choi, G.J. and Oh, S.M. 2018. The effects of seeding rate of seed mixture on productivity and botanical composition in oversown hilly pasture. Journal of the Korean Society of Grassland and Forage Science. 38(1):30-38. doi:10.5333/KGFS.2018.38.1.30   DOI
11 Jung, J.S., Choi, K.C., Kim, W.H., Kim, H.S. and Choi, G.J. 2019. The effects of shifting seeding dates on botanical composition and productivity under the climate change in oversown mixed pasture, middle region of South Korea. Journal of the Korean Society of Grassland and Forage Science. 39(1):24-30. doi:10.5333/KGFS.2019.39.1.24   DOI
12 KOSTAT. 2021. Agricultural area and crop production survey. Statistics Korea. Available from: http://kostat.go.kr/portal/eng/surveyOutline/1/1/index.static. Accessed Sep. 1, 2021.
13 Boyer, J.S. 1982. Plant productivity and environment. Science. 218(4571): 443-448. doi: 10.1126/science.218.4571.443   DOI
14 Buttlar, J., Zscheischler, J., Rammig, A., Sippel, S., Reichstein, M., Knohl, A., Jung, M., Menzer, O., Arain, M.A. and Buchmann, N. 2018. Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones. Biogeosciences. 15(5):1293-1318. doi:10.5194/bg-15-1293-2018   DOI
15 Choi, G.J., Jung, J.S., Choi, K.C., Hwang, T.Y., Kim, J.H., Kim, W.H., Lee, E.J., Sung, K.I. and Lee, K.W. 2020. Impact of different environmental conditions and management techniques on productivity of grassland in central and southern area of korea. Journal of the Korean Society of Grassland and Forage Science. 40(2):87-97. doi:10.5333/KGFS.2020.40.2.87   DOI
16 Kawanabe, S. 1985. Present situation and future prospects for grassland farming in Japan. In: International Symposium on Pastures in the Tropics and Subtropics: Proceedings of a Symposium on Tropical Agriculture Research, Tsukuba, October 2-6, 1984. p. 87.
17 Kim, D.A., Kwon, C.H., Kim, B.H., Kim, C.J., Kim, D.J., Kim, M.C., Bae, D.H., Seo, S., An, K.S., Lee, I.D., Lee, H.W., Jeon, B.T., Jeon, W.B., Jung, J.R., Jo, M.H., Jo, J.G. and Hur, S.N. 1997. Grassland science. Sunjin, Republic of Korea. p. 4.
18 Kim, M.H., Kim, M.J., Lee, S.R. and Lee, S.H. 2011. The relationship between climate and major forage crop productivity in Daegwallyeong and Suwon sites. The Geographical Journal of Korea. 45(1):137-147.
19 Koh, J. and Kim, H. 2010. A study on local vulnerability assessment to climate change-The case of municipalities of Gyeonggi-Do. J. Environ. Policy Adm 18:79-105. doi: 10.1007/978-94-007-0785-6_42   DOI
20 MAFRA. 2021. The report of current state and utilization of grassland. Ministry of Agriculture, Food and Rural Affairs.
21 Kurukulasuriya, P. and Rosenthal, S. 2013. Climate change and agriculture: A review of impacts and adaptations. http://hdl.handle.net/10986/16616
22 Leclerc, C., Courchamp, F. and Bellard, C. 2020. Future climate change vulnerability of endemic island mammals. Nature Communications. 11(1):1-9. doi:10.1038/s41467-020-18740-x   DOI
23 McCarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J. and White, K.S. 2001. Climate change 2001: Impacts, adaptation, and vulnerability: Contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
24 Lee, S.J., Song, J.D., Jang, T.I., Sul, D.M. and Son, J.K. 2018. A study on the derivation of the user-oriented agricultural drought assessment criteria using the AHP technique. Journal of Korean Society of Rural Planning. 24(4):47-55. doi:10.7851/Ksrp.2018.24.4.047   DOI
25 Lei, T., Pang, Z., Wang, X., Li, L., Fu, J., Kan, G., Zhang, X., Ding, L., Li, J. and Huang, S. 2016. Drought and carbon cycling of grassland ecosystems under global change: A review. Water. 8(10):460. doi:10.3390/w8100460   DOI
26 Masson-Delmotte, V., Zhai, P., Portner, H.O., Roberts, D., Skea, J., Shukla, P.R., Pirani, A., Moufouma-Okia, W., Pean, C. and Pidcock, R. 2018. Global warming of 1.5 C. An IPCC Special Report on the Impacts of Global Warming of. IPCC. 1(5).
27 Nantui, M.F., Bruce, S.D. and Yaw, O.A. 2012. Adaptive capacities of farmers to climate change adaptation strategies and their effects on rice production in the northern region of Ghana. Russian Journal of Agricultural and Socio-Economic Sciences. 11(11).
28 Parry, M., Parry, M.L., Canziani, O., Palutikof, J., Van der Linden, P. and Hanson, C. 2007. Climate change 2007-impacts, adaptation and vulnerability: Working group II contribution to the fourth assessment report of the IPCC. Cambridge University Press.
29 Saaty, T.L. 1988. The analytic hierarchy process (AHP). Springer, Berlin, Heidelberg. doi: 10.1007/978-3-642-83555-1_5
30 RDA. 2021. Agricultural weather information service. Rural Development Administration. Available from: http://weather.rda.go.kr. Accessed Sep. 1, 2021.
31 Saaty, T.L. and Vargas, L.G. 2001. Models, methods, concepts & applications of the analytic hierarchy process. Kluwer Academic Publishers, Boston. doi:10.1007/978-1-4614-3597-6
32 Nandintsetseg, B., Boldgiv, B., Chang, J., Ciais, P., Davaanyam, E., Batbold, A., Bat-Oyun, T. and Stenseth, N.C. 2021. Risk and vulnerability of Mongolian grasslands under climate change. Environmental Research Letters. 16(3):034035. doi:10.1088/1748-9326/abdb5b   DOI
33 Oh, S.M., Kim, M., Peng, J., Lee, B.H., Kim, J.Y., Chemere, B., Kim, S.C., Kim, K.D., Kim, B.W. and Jo, M.H. 2018. The relationships between dry matter yield and days of summer depression in different regions with mixed pasture. Journal of the Korean Society of Grassland and Forage Science. 38(1):53-60. doi:10.5333/KGFS.2018.38.1.53   DOI
34 Zhu, X., Zhang, S., Liu, T. and Liu, Y. 2021. Impacts of heat and drought on gross primary productivity in China. Remote Sensing. 13(3):378.   DOI
35 Shao, H., Sun, X., Wang, H., Zhang, X., Xiang, Z., Tan, R., Chen, X., Xian, W. and Qi, J. 2016. A method to the impact assessment of the returning grazing land to grassland project on regional eco-environmental vulnerability. Environmental Impact Assessment Review. 56:155-167. doi:10.1016/j.eiar.2015.10.006   DOI
36 Thorne, J.H., Choe, H., Stine, P.A., Chambers, J.C., Holguin, A., Kerr, A.C. and Schwartz, M.W. 2018. Climate change vulnerability assessment of forests in the Southwest USA. Climatic Change. 148(3):387-402. doi: 10.1007/s10584-017-2010-4   DOI
37 Yan, Y., Liu, X., Wen, Y. and Ou, J. 2019. Quantitative analysis of the contributions of climatic and human factors to grassland productivity in northern China. Ecological Indicators. 103:542-553. doi: 10.1016/j.ecolind.2019.04.020   DOI
38 Lee, I.D., Lee, H.S. and Kim, S.K. 2000. Comparative studies on the DM yield and quality before and after pasture renovation of summer depression damaged pasture. Journal of the Korean Society of Grassland Science. 20(3):215-220.
39 Yoo, S.M., Lee, W.K., Chae, Y.R., Kwak, H.B., Kim, M.I. and Jung, R.S. 2013. The influence of weighing value derived by the regression equation on the result of vulnerability assessment. The Korean Society of Climate Change Research. 4(4):331-348.