• Title/Summary/Keyword: BIOMOD2

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Estimating Korean Pine(Pinus koraiensis) Habitat Distribution Considering Climate Change Uncertainty - Using Species Distribution Models and RCP Scenarios - (불확실성을 고려한 미래 잣나무의 서식 적지 분포 예측 - 종 분포 모형과 RCP시나리오를 중심으로 -)

  • Ahn, Yoonjung;Lee, Dong-Kun;Kim, Ho Gul;Park, Chan;Kim, Jiyeon;Kim, Jae-uk
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.18 no.3
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    • pp.51-64
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    • 2015
  • Climate change will make significant impact on species distribution in forest. Pinus koraiensis which is commonly called as Korean Pine is normally distributed in frigid zones. Climate change which causes severe heat could affect distribution of Korean pine. Therefore, this study predicted the distribution of Korean Pine and the suitable habitat area with consideration on uncertainty by applying climate change scenarios on an ensemble model. First of all, a site index was considered when selecting present and absent points and a stratified method was used to select the points. Secondly, environmental and climate variables were chosen by literature review and then confirmed with experts. Those variables were used as input data of BIOMOD2. Thirdly, the present distribution model was made. The result was validated with ROC. Lastly, RCP scenarios were applied on the models to create the future distribution model. As a results, each individual model shows quite big differences in the results but generally most models and ensemble models estimated that the suitable habitat area would be decreased in midterm future(40s) as well as long term future(90s).

Applying Ensemble Model for Identifying Uncertainty in the Species Distribution Models (종분포모형의 불확실성 확인을 위한 앙상블모형 적용)

  • Kwon, Hyuk Soo
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.47-52
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    • 2014
  • Species distribution models have been widely applied in order to assess biodiversity, design reserve, manage habitat and predict climate change. However, SDMs has been used restrictively to the public and policy sectors owing to model uncertainty. Recent studies on ensemble and consensus models have been increased to reduce model uncertainty. This paper was carried out single model and multi model for Corylopsis coreana and compares two models. First, model evaluation was used AUC, kappa and TSS. TSS was the most effective method because it was easy to compare several models and convert binary maps. Second, both single and ensemble model show good performance and RF, Maxent and GBM was evaluated higher, GAM and SRE was evaluated lower relatively. Third, ensemble model tended to overestimate over single model. This problem can be solved by the suitable model selection and weighting through collaboration between field experts and modeler. Finally, we should identify causes and magnitude of model uncertainty and improve data quality and model methods in order to apply special decision-making support system and conservation planning, and when we make policy decisions using SDMs, we should recognize uncertainty and risk.