This study was conducted for vulnerability assessment of regional forests in Jeollabuk-do. The purpose of this study was performing the vulnerability assessment, the preceded process, which was needed to maximize the effectiveness by preparing the proper adaptation for region to climate change polic...
This study was conducted for vulnerability assessment of regional forests in Jeollabuk-do. The purpose of this study was performing the vulnerability assessment, the preceded process, which was needed to maximize the effectiveness by preparing the proper adaptation for region to climate change policy. Therefore, weight of variables for vulnerability assessment, showing the specificity of the region, was calculated through the Delphi Survey, targeted the group of forestry practitioners in Jeollabuk-do. The results are summarized as follows: 1. Weight of variables for vulnerability assessment According to the proxy variables in details, the most effective variable was climate exposure in the range of “the vulnerability of pine and mushrooms,” “the vulnerability of forest vegetation by drought,” “the vulnerability of pine trees by pests,” “the vulnerability of landslides by torrential rains,” and “the vulnerability of forest roads by landslides.” The second and the third were sensitivity and ability of adaptation respectively. In the range of “the vulnerability of forest productivity” and “the vulnerability to wildfire,” climate exposure was the dominant, and it was the same with other variables. The followings were the ability of adaptation and sensitivity. 2. Vulnerability assessment of forest At present (2000s), vulnerable areas against the climate exposure were Jeongeup, Sunchang, Gochang, and Imsil. And the regions, showing high sensitivity, were Jinan, Wanju, Namwon, and Muju. Relatively, the urban areas such as Jeonju, Iksan, and Gunsan had high ability of adaptation. As a result, the areas showing high vulnerability against the climate change were Jinan, Imsil, Muju, Sunchang. In the near future (2020s), vulnerable areas against the Climate Exposure were Sunchang, Jeonju, Imsil and Gunsan in the result of the assessment. The regions showing high sensitivity were Jinan, Wanju, Namwon, and Muju, and the urban areas like Jeonju, Iksan, and Gunsan showed high ability of adaptation. As a result of vulnerability assessment for the future, vulnerability was decreased from 2000s to 2020s, but increased from 2020s to 2050s, and decreased again from 2050s to 2100s in most ranges of vulnerability of the forest in Jeollabuk-do. Therefore, the period showing the highest vulnerability was 2050s. but, “the vulnerability of the forest vegetation by drought,” and “the vulnerability against wildfire” were the most vulnerable in the ranges of the present (2000s). 3. Correlations in variables As a result of analysis about correlation between variables of vulnerability assessment, most of the values in vulnerability assessment had high relations respectively; relations of “sensitivity and vulnerability-resilience index” and “the ability of adaptation and vulnerability-resilience index.” Between the sensitivity and vulnerability-resilience index, they show strong positive correlation. Simultaneously, strong negative correlation appeared between the ability of adaptation and vulnerability-resilience index. However, only sensitivity and vulnerability-resilience index shows strong positive correlation in “the vulnerability of forest vegetation by drought.” Therefore, if the local government policy of adaptation of climate change, based on the result of vulnerability assessment of forest in Jeollabuk-do with the weight considering the regional characteristics, was established, the policy to maximize the effect would be established and the management of forest according to the climate change would be achieved appropriately.
This study was conducted for vulnerability assessment of regional forests in Jeollabuk-do. The purpose of this study was performing the vulnerability assessment, the preceded process, which was needed to maximize the effectiveness by preparing the proper adaptation for region to climate change policy. Therefore, weight of variables for vulnerability assessment, showing the specificity of the region, was calculated through the Delphi Survey, targeted the group of forestry practitioners in Jeollabuk-do. The results are summarized as follows: 1. Weight of variables for vulnerability assessment According to the proxy variables in details, the most effective variable was climate exposure in the range of “the vulnerability of pine and mushrooms,” “the vulnerability of forest vegetation by drought,” “the vulnerability of pine trees by pests,” “the vulnerability of landslides by torrential rains,” and “the vulnerability of forest roads by landslides.” The second and the third were sensitivity and ability of adaptation respectively. In the range of “the vulnerability of forest productivity” and “the vulnerability to wildfire,” climate exposure was the dominant, and it was the same with other variables. The followings were the ability of adaptation and sensitivity. 2. Vulnerability assessment of forest At present (2000s), vulnerable areas against the climate exposure were Jeongeup, Sunchang, Gochang, and Imsil. And the regions, showing high sensitivity, were Jinan, Wanju, Namwon, and Muju. Relatively, the urban areas such as Jeonju, Iksan, and Gunsan had high ability of adaptation. As a result, the areas showing high vulnerability against the climate change were Jinan, Imsil, Muju, Sunchang. In the near future (2020s), vulnerable areas against the Climate Exposure were Sunchang, Jeonju, Imsil and Gunsan in the result of the assessment. The regions showing high sensitivity were Jinan, Wanju, Namwon, and Muju, and the urban areas like Jeonju, Iksan, and Gunsan showed high ability of adaptation. As a result of vulnerability assessment for the future, vulnerability was decreased from 2000s to 2020s, but increased from 2020s to 2050s, and decreased again from 2050s to 2100s in most ranges of vulnerability of the forest in Jeollabuk-do. Therefore, the period showing the highest vulnerability was 2050s. but, “the vulnerability of the forest vegetation by drought,” and “the vulnerability against wildfire” were the most vulnerable in the ranges of the present (2000s). 3. Correlations in variables As a result of analysis about correlation between variables of vulnerability assessment, most of the values in vulnerability assessment had high relations respectively; relations of “sensitivity and vulnerability-resilience index” and “the ability of adaptation and vulnerability-resilience index.” Between the sensitivity and vulnerability-resilience index, they show strong positive correlation. Simultaneously, strong negative correlation appeared between the ability of adaptation and vulnerability-resilience index. However, only sensitivity and vulnerability-resilience index shows strong positive correlation in “the vulnerability of forest vegetation by drought.” Therefore, if the local government policy of adaptation of climate change, based on the result of vulnerability assessment of forest in Jeollabuk-do with the weight considering the regional characteristics, was established, the policy to maximize the effect would be established and the management of forest according to the climate change would be achieved appropriately.
주제어
#Jeellabuk-do forest Climate exposure Sensitivity The ability of adaptation Vulnerability-Resilience Index(VRI)
※ AI-Helper는 부적절한 답변을 할 수 있습니다.