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      RCPs 기후변화 시나리오에 따른 큰망초(Conyza sumatrensis)의 적합 서식지 분포 예측 = Predicting the suitable habitat distribution of Conyza sumatrensis under RCP scenarios

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      https://www.riss.kr/link?id=A108503516

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Global warming has a major impact on the Earth’s precipitation and temperature fluctuations, and significantly affects the habitats and biodiversity of many species. Although the number of alien plants newly introduced in South Korea has recently increased due to the increasing frequency of international exchanges and climate change, studies on how climate change affects the distribution of these alien plants are lacking. This study predicts changes in the distribution of suitable habitats according to RCPs climate change scenarios using the current distribution of the invasive alien plant Conyza sumatrensis and bioclimatic variables. C. sumatrensis has a limited distribution in the southern part of South Korea. Isothermality (bio03), the max temperature of the warmest month (bio05), and the mean temperature of the driest quarter (bio09) were found to influence the distribution of C. sumatrensis. In the future, the suitable habitat for C. sumatrensis is projected to increase under RCP 4.5 and RCP 8.5 climate change scenarios. Changes in the distribution of alien plants can have a significant impact on the survival of native plants and cause ecosystem disturbance. Therefore, studies on changing distribution of invasive species according to climate change scenarios can provide useful information required to plan conservation strategies and restoration plans for various ecosystems.
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      Global warming has a major impact on the Earth’s precipitation and temperature fluctuations, and significantly affects the habitats and biodiversity of many species. Although the number of alien plants newly introduced in South Korea has recently in...

      Global warming has a major impact on the Earth’s precipitation and temperature fluctuations, and significantly affects the habitats and biodiversity of many species. Although the number of alien plants newly introduced in South Korea has recently increased due to the increasing frequency of international exchanges and climate change, studies on how climate change affects the distribution of these alien plants are lacking. This study predicts changes in the distribution of suitable habitats according to RCPs climate change scenarios using the current distribution of the invasive alien plant Conyza sumatrensis and bioclimatic variables. C. sumatrensis has a limited distribution in the southern part of South Korea. Isothermality (bio03), the max temperature of the warmest month (bio05), and the mean temperature of the driest quarter (bio09) were found to influence the distribution of C. sumatrensis. In the future, the suitable habitat for C. sumatrensis is projected to increase under RCP 4.5 and RCP 8.5 climate change scenarios. Changes in the distribution of alien plants can have a significant impact on the survival of native plants and cause ecosystem disturbance. Therefore, studies on changing distribution of invasive species according to climate change scenarios can provide useful information required to plan conservation strategies and restoration plans for various ecosystems.

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      국문 초록 (Abstract) kakao i 다국어 번역

      기후변화로 인한 지구온난화는 강수량과 기온에 영향을 주며, 다양한 종들의 서식지와 생물다양성에 상당한 영향을 줄 수 있다. 최근 국제 교류의 증가와 기후변화 등의 원인으로 국내로 새롭게 유입되어 정착하는 외래식물이 증가하고 있지만, 기후변화가 이들 외래식물의 국내 분포에 어떤 영향을 주는지에 대한 연구는 부족한 실정이다. 본 연구는 침입외래식물 큰망초 (C. sumatrensis)의 현재 분포와 생물기후 변수를 활용하여 RCPs 기후변화 시나리오에 따른 적합 서식지 분포 변화를 예측하였다. 큰망초는 현재 우리나라 남부 지방에서 제한된 분포를 보이고 있으며, 이들의 분포에는 가장 건조한 분기의 평균기온 (bio09), 가장 더운 달의 최고기온 (bio05), 등온선 (bio03)이 영향을 미치는 것으로 나타났다. 기후변화 시나리오에 따라 큰망초의 미래 적합 서식지 면적은 증가할 것으로 전망되었다. 큰망초와 같은 침입외래종의 분포 변화는 자생식물의 생존을 위협할 수 있으며 생태계 교란을 일으킬 수 있다. 따라서 기후변화에 따른 외래종 분포에 대한 연구는 자생식물뿐만 아니라 생물다양성 보전에 중요한 데이터로 활용될 수 있으며, 향후 서식지 복원과 생물자원을 관리하기 위한 정책자료로 활용될 수 있다.
      번역하기

      기후변화로 인한 지구온난화는 강수량과 기온에 영향을 주며, 다양한 종들의 서식지와 생물다양성에 상당한 영향을 줄 수 있다. 최근 국제 교류의 증가와 기후변화 등의 원인으로 국내로 새...

      기후변화로 인한 지구온난화는 강수량과 기온에 영향을 주며, 다양한 종들의 서식지와 생물다양성에 상당한 영향을 줄 수 있다. 최근 국제 교류의 증가와 기후변화 등의 원인으로 국내로 새롭게 유입되어 정착하는 외래식물이 증가하고 있지만, 기후변화가 이들 외래식물의 국내 분포에 어떤 영향을 주는지에 대한 연구는 부족한 실정이다. 본 연구는 침입외래식물 큰망초 (C. sumatrensis)의 현재 분포와 생물기후 변수를 활용하여 RCPs 기후변화 시나리오에 따른 적합 서식지 분포 변화를 예측하였다. 큰망초는 현재 우리나라 남부 지방에서 제한된 분포를 보이고 있으며, 이들의 분포에는 가장 건조한 분기의 평균기온 (bio09), 가장 더운 달의 최고기온 (bio05), 등온선 (bio03)이 영향을 미치는 것으로 나타났다. 기후변화 시나리오에 따라 큰망초의 미래 적합 서식지 면적은 증가할 것으로 전망되었다. 큰망초와 같은 침입외래종의 분포 변화는 자생식물의 생존을 위협할 수 있으며 생태계 교란을 일으킬 수 있다. 따라서 기후변화에 따른 외래종 분포에 대한 연구는 자생식물뿐만 아니라 생물다양성 보전에 중요한 데이터로 활용될 수 있으며, 향후 서식지 복원과 생물자원을 관리하기 위한 정책자료로 활용될 수 있다.

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      참고문헌 (Reference)

      1 조재필 ; 김재욱 ; 최순군 ; 황세운 ; 정휘철, "다중모형 및 격자기반 CMIP5 기후변화 시나리오 상세화 자료를 이용한 극한기후지수 변동성 분석" 한국기후변화학회 11 (11): 123-132, 2020

      2 Fois M, "Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions" 385 : 124-132, 2018

      3 Kramer-Schadt S, "The importance of correcting for sampling bias in MaxEnt species distribution models" 19 : 1366-1379, 2013

      4 Hernandez PA, "The effect of sample size and species characteristics on performance of different species distribution modeling methods" 5 : 773-785, 2006

      5 Elith J, "Species distribution models : ecological explanation and prediction across space and time" 40 : 677-697, 2009

      6 Booth TH, "Species distribution modelling tools and databases to assist managing forests under climate change" 430 : 196-203, 2018

      7 Guan BC, "Shifting ranges of eleven invasive alien plants in China in the face of climate change" 55 : 101024-, 2020

      8 Cleland EE, "Shifting plant phenology in response to global change" 22 : 357-365, 2007

      9 Garssen AG, "Riparian plant community responses to increased flooding : A meta-analysis" 21 : 2881-2890, 2015

      10 Koch R, "Revealing areas of high nature conservation importance in a seasonally dry tropical forest in Brazil : Combination of modelled plant diversity hot spots and threat patterns" 35 : 24-39, 2017

      1 조재필 ; 김재욱 ; 최순군 ; 황세운 ; 정휘철, "다중모형 및 격자기반 CMIP5 기후변화 시나리오 상세화 자료를 이용한 극한기후지수 변동성 분석" 한국기후변화학회 11 (11): 123-132, 2020

      2 Fois M, "Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions" 385 : 124-132, 2018

      3 Kramer-Schadt S, "The importance of correcting for sampling bias in MaxEnt species distribution models" 19 : 1366-1379, 2013

      4 Hernandez PA, "The effect of sample size and species characteristics on performance of different species distribution modeling methods" 5 : 773-785, 2006

      5 Elith J, "Species distribution models : ecological explanation and prediction across space and time" 40 : 677-697, 2009

      6 Booth TH, "Species distribution modelling tools and databases to assist managing forests under climate change" 430 : 196-203, 2018

      7 Guan BC, "Shifting ranges of eleven invasive alien plants in China in the face of climate change" 55 : 101024-, 2020

      8 Cleland EE, "Shifting plant phenology in response to global change" 22 : 357-365, 2007

      9 Garssen AG, "Riparian plant community responses to increased flooding : A meta-analysis" 21 : 2881-2890, 2015

      10 Koch R, "Revealing areas of high nature conservation importance in a seasonally dry tropical forest in Brazil : Combination of modelled plant diversity hot spots and threat patterns" 35 : 24-39, 2017

      11 Hao JH, "Reproductive traits associated with invasiveness in Conyza sumatrensis" 47 : 245-254, 2009

      12 Hijiman RJ, "Raster: Geographic Data Analysis and Modeling, version 2.6 -7"

      13 박주언 ; 이택준 ; 김동건 ; 신숙, "Prediction of potential habitats and distribution of the marine invasive sea squirt, Herdmania momus" 한국환경생물학회 38 (38): 179-188, 2020

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      16 Bradley BA, "Predicting plant invasions in an era of global change" 25 : 310-318, 2010

      17 Ji W, "Potential global distribution of Daktulosphaira vitifoliae under climate change based on MaxEnt" 12 : 347-, 2021

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      19 Chun YJ, "Phenotypic plasticity of native vs. invasive purple loosestrife: a two-state multivariate approach" 88 : 1499-1512, 2007

      20 Li Y, "Optimized maxent model predictions of climate change impacts on the suitable distribution of Cunninghamia lanceolata in China" 11 : 302-, 2020

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      22 Wilting A, "Modelling the species distribution of flat -headed cats (Prionailurus planiceps), an endangered South-East Asian small felid" 5 : e9612-, 2010

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      24 Levine JM, "Mechanisms underlying the impacts of exotic plant invasions" 270 : 775-781, 2003

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      27 이용호 ; 홍선희 ; 나채선 ; 손수인 ; 김명현 ; 김창석 ; 오영주, "MaxEnt를 활용한 청비름 (Amaranthus viridis)의 기후변화 시나리오에 의한 서식지 분포 변화 예측" 한국환경생물학회 34 (34): 240-245, 2016

      28 조낭현 ; 김은숙 ; 이보라 ; 임종환 ; 강신규, "MaxEnt 모형을 이용한 소나무 잠재분포 예측 및 환경변수와 관계 분석" 한국농림기상학회 22 (22): 47-56, 2020

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      31 Miller-Rushing AJ, "How well do first flowering dates measure plant responses to climate change? The effects of population size and sampling frequency" 96 : 1289-1296, 2008

      32 Halvorsen R, "How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?" 328 : 108-118, 2016

      33 Hegland SJ, "How does climate warming affect plant-pollinator interaction?" 12 : 184-195, 2009

      34 Araújo MB, "How does climate change affect biodiversity?" 313 : 1396-1397, 2006

      35 Hirabayashi Y, "Global flood risk under climate change" 3 : 816-821, 2013

      36 Liu J, "First report of a leaf spot on Conyza sumatrensis caused by Phoma macrostoma in China" 96 : 148-, 2012

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      38 Lankau R, "Evolutionary limits ameliorate the negative impact of an invasive plant" 106 : 15362-15367, 2009

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      45 Bradley BA, "Climate change increases risk of plant invasion in the Eastern United States" 12 : 1855-1872, 2010

      46 Taylor S, "Climate change and the potential distribution of an invasive shrub, Lantana camara L" 7 : e35565-, 2012

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      48 Bradley BA, "Climate change and plant invasions : restoration opportunities ahead? Glob" 15 : 1511-1521, 2009

      49 Woodward FI, "Climate and Plant Distribution" Cambridge University Press 1987

      50 O’Donnell MS, "Bioclimatic predictors for supporting ecological applications in the conterminous United States" 691 (691): 4-9, 2012

      51 Vilà M, "Are invasive plant species better competitors than native plant species? Evidence from pairwise experiments" 105 : 229-238, 2004

      52 IPCC, "An IPCC Special Report on the Impacts of Global Warming of 1.5°C above Pre -Industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty" World Meteorological Organization 2018

      53 Gill NS, "Africanized honeybee habitat suitability : a comparison between models southern Utah and southern California" 76 : 14-21, 2016

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