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

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한국초지조사료학회지 (Journal of The Korean Society of Grassland Science)
한국초지조사료학회 (The Korean Society of Grassland and Forage Science)
초록

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.

목차
ABSTRACT
Ⅰ. INTRODUCTION
Ⅱ. MATERIALS AND METHODS
    1. Study area
    2. Data collection and analysis processing
    3. Standardization of the evaluation index
    4. AHP method for weight calculation of indicators
    5. Spatial distribution map
Ⅲ. RESULTS AND DISCUSSION
    1. Calculation of the evaluation weight for each indicator
    2. Calculation of the CCVA of cool-season grasslands
Ⅳ. CONCLUSION
Ⅶ. REFERENCES
저자
  • Bae Hun Lee(National Institute of Animal Science, RDA)
  • Dong Won Cheon(National Institute of Animal Science, RDA)
  • Hyung Soo Park(National Institute of Animal Science, RDA)
  • Ki Choon Choi(National Institute of Animal Science, RDA)
  • Jeong Seop Shin(National Institute of Animal Science, RDA)
  • Mi Rae Oh(National Institute of Animal Science, RDA)
  • Jeong Sung Jung(National Institute of Animal Science, RDA) Corresponding author