[논문]NBR과 MaxEnt 모델 분석을 활용한 희귀특산식물(개느삼) 분포 및 피해량 예측 - 양구 비봉산 산불피해지를 대상으로-

윤호근; 이종원; 안종빈; 유승봉; 박기쁨; 신현탁; 박완근; 김상준

doi:10.7732/kjpr.2022.35.2.169

NBR과 MaxEnt 모델 분석을 활용한 희귀특산식물(개느삼) 분포 및 피해량 예측 - 양구 비봉산 산불피해지를 대상으로-
Prediction of Potential Habitat and Damage Amount of Rare·Endemic Plants (Sophora Koreensis Nakai) Using NBR and MaxEnt Model Analysis - For the Forest Fire Area of Bibongsan (Mt.) in Yanggu - 원문보기

韓國資源植物學會誌 = Korean journal of plant resources, v.35 no.2, 2022년, pp.169 - 182

윤호근 (국립DMZ자생식물원) , 이종원 (국립DMZ자생식물원) , 안종빈 (국립DMZ자생식물원) , 유승봉 (화랑조경) , 박기쁨 (국립생태원) , 신현탁 (국립수목원) , 박완근 (강원대학교 산림자원학과) , 김상준 (국립DMZ자생식물원)

초록
AI-Helper

본 연구는 산불피해가 발생한 접경지역 산림 내 희귀특산식물(개느삼) 분포를 예측하고 피해를 정량화하고자 수행되었다. 이를 위해 산불피해강도에 따른 산림면적 피해(NBR), 임상도를 통한 수종별 피해(Vegetation map), MaxEnt 모델 분석을 수행, 보다 정밀한 결과를 도출하고자 하였다. 우선, 산불피해강도 분석은 위성영상(Landsat-8)을 활용하여, 산불피해강도(ΔNBR_2016-2015)를 분석하고 피해범위를 도출하였다. 임상도 작성은 환경부의 토지피복도, 산림청의 임상도, 자체적으로 식생조사를 진행하여, 산불 전·후의 임상도를 작성하고, 수종 피해 및 변화를 확인하였다. 마지막으로 MaxEnt 모델 분석은 관련문헌과 자체조사 자료를 기준으로 작성된 개느삼 실제서식지 좌표를 활용하여, AUC(Area Under Curve) 값을 도출하였다. 분석된 결과의 정밀도를 높이고자, 임상도와 결합하여, 개느삼이 주로 분포하는 소나무 군락 및 소나무-참나무림 군락을 대상으로 재분석한 결과, 대상지 내 개느삼 실제출현 좌표 325개소 중 299개 지점에서 개느삼 출현가능성이 92.0%로 예측되어 유의미한 결과를 얻을 수 있었다. 해당 자료를 산불피해강도(ΔNBR_2016-2015) 자료와 중첩한 결과, 산불피해지 내 개느삼 서식가능지(예측) 면적 44,760 m²의 45.9%인 20,552 m²가 훼손된 것을 확인할 수 있었다. 따라서 본 연구는 산불로 인해 훼손된 희귀식물 서식지 면적을 정량화하고 희귀식물 보전·관리를 위한 사례가 될 것으로 기대된다.

Abstract ▼ AI-Helper

This study was conducted to predict the distribution of rare·endemic plants (Sophora koreensis Nakai) in the border forests where wildfire damage occurred and to quantify the damage. For this purpose, we tried to derive more accurate results through forest area damage (NBR) according to the Burn severity of wildfires, damage by tree species type (Vegetation map), and MaxEnt model. For Burn severity analysis, satellite imagery (Landsat-8) was used to analyze Burn severity (ΔNBR2016-2015) and to derive the extent of damage. To prepare the Vegetation map, the land cover map prepared by the Ministry of Environment, the Vegetation map prepared by the Korea Forest Service, and the vegetation survey conducted by itself were conducted to prepare the clinical map before and after the forest fire. Lastly, for MaxEnt model analysis, the AUC value was derived by using the habitat coordinates of Sophora koreensis Nakai based on the related literature and self-report data. As a result of combining the Maxent model analysis data with the Burn severity data, it was confirmed that 45.9% of the 44,760 m2 of habitat (predicted) area of Sophora koreensis Nakai in the wildfire damaged area or 20,552 m2, was damaged.

주제어

표/그림 (18)

그림 Fig. 1. The map showing study site on Mt. Bibongsan in Yanggu-gun.
그림 Fig. 2. Analysis method and analysis model of this study.
표 Table 1. Areas calculated by converting raster image to polygon in pixel unit
그림 Fig. 3. The comparison between the spectral response and healthy vegetation according to burned areas.
표 Table 2. ΔNBR categories of burn severity, based on pixel values
표 Table 3. Description of environmental variables by category
그림 Fig. 4. The map showing △NBR and burn severity classes in between 2015 and 2016 on Mt. Bibongsan, Yanggu-gun.
표 Table 4. △NBR2015-2016 of forest fire area and burn severity classes on Mt. Bibongsan, Yanggu-gun
표 Table 5. Description of clinical changes before and after the outbreak of Mt. Bibongsan wildfire in Yanggu-gun
그림 Fig. 5. The maps showing clinical changes before and after the wildfire of Mt. Bibongsan, Yanggu (L:2015, R:2016).
그림 Fig. 6. The maps showing clinical changes on Mt. Bibongsan wildfire damaged area (L:2015, R:2016).
표 Table 6. Description of clinical changes on Mt. Bibongsan wildfire damaged area
그림 Fig. 7. The maps showing prediction of distribution of Sophora koreensis Nakai and vegetation overlapping using MaxEnt analysis.
표 Table 7. Prediction of distribution of Sophora koreensis Nakai using MaxEnt analysis in Bibongsan (Mt.)
그림 Fig. 8. The map showing Prediction of distribution of Sophora koreensis Nakai using MaxEnt analysis in Mt. Bibongsan forest fire area in Yanggu.
표 Table 8. Prediction of distribution of Sophora koreensis Nakai using MaxEnt analysis in Mt. Bibongsan forest fire area in Yanggu
표 Table 9. Current status of Sophora koreensis Nakai damage in Mt. Bibongsan forest fire area in Yanggu
그림 Fig. 9. The map showing current status of Sophora koreensis Nakai damage and actual appearance point of ginseng in the wildfire area of Mt. Bibongsan, Yanggu.

참고문헌 (31)

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