선택한 단어 수는 입니다.
최소 단어 이상 선택하여야 합니다.
최소 단어 이상 선택하여야 합니다.
선택한 단어 수는 30입니다.
최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
제안 방법
- Considering the linkage of forests on the Korean Peninsula, the study area was defined as Northeast Asia including North Korea and Manchuria (latitude：30～45°, longitude：120～ 135°). Also, in order to understand the regional features of impact and the degree of impact, the study area was divided into four regions considering the distribution of forest ecosystem and climate patterns. Region "A" covers the southern part of the Korean Peninsula including South and North Kyongsang provinces and South and North Jeonla provinces.
- Climate information required in the model was produced using the present temperature and precipitation figures and the temperature and precipitation change rate from GCM results.
- 25km/year. Four different moving velocities of 0.25, 0.5, 1.0, and 2.0 km/ year were considered for the impact assessment in this study. Finally, the economic value of forest change was calculated using NCEAS (National Center for Ecological Analysis and Synthesis) method.
- This study attempted to predict the future change of forest distribution on the Korean Peninsula due to climate change by employing AIM (AsianPacific Integrated Model) Impact Model with 5 GCM results under IPCC's (United Nations Intergovernmental Panel on Climate Change) IS92s scernario (doubled CO2 levels). The impact on the forest ecosystem was evaluated by tree moving velocity using a correlative climate-vegetation model (Holdridge Life Zone model).
대상 데이터
- Considering the linkage of forests on the Korean Peninsula, the study area was defined as Northeast Asia including North Korea and Manchuria (latitude：30～45°, longitude：120～ 135°). Also, in order to understand the regional features of impact and the degree of impact, the study area was divided into four regions considering the distribution of forest ecosystem and climate patterns.
- To generate future climate data, 5 GCM-runs of CSIROMK2, CCCma, ECHAM4, HADCM2, CCSR/NIES, which are medium GHGs emission scenario(IS92a) by IPCC were used. Since spatial resolution of GCM is not dense enough to be used in impact studies, the data were spatially interpolated using methods suitable for each climate parameter (Takahashi et al.
이론/모형
- 2. Forest ecosystems were classified by the climatic biological characteristics using the Holdridge model. The possible impact on the forest on the Korean Peninsula by climate change at year 2100 was predicted.
- 3. The economic value of forest ecosystem under changed climate was calculated with NCEAS (National Center for Ecological Analysis and Synthesis) method.
- 0 km/ year were considered for the impact assessment in this study. Finally, the economic value of forest change was calculated using NCEAS (National Center for Ecological Analysis and Synthesis) method.
- In order to assess forest impact of climate change, HadCM2 GCM, which is similar to the sensitivity of IPCC IS92a scenario, was used. The average temperature increase of 2×CO2 was set at 2.
- levels). The impact on the forest ecosystem was evaluated by tree moving velocity using a correlative climate-vegetation model (Holdridge Life Zone model). The estimation of the economic impact on forest sector due to climate change was also attempted.
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