연구동향 분석

서울시 및 경기도의 생태계교란식물 취약지역 평가

박현철 ( Hyun Chul Park ) 이관규 ( Gwan Gyu Lee ) 이정환 ( Jung Hwan Lee ) 2015년

논문상세정보
인용/피인용
' 서울시 및 경기도의 생태계교란식물 취약지역 평가' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • alien species
  • biodiversity
  • climate change
  • species distribution models
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,055 1

0.0%

' 서울시 및 경기도의 생태계교란식물 취약지역 평가' 의 참고문헌

  • The usefulness of elevation as a predictor variable in species distribution modelling
    Hof, A. R. Ecological Modelling 246 : 86 ~ 90 [2012]
  • The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence
    Betts, M. G. Ecological modelling 191 (2) : 197 ~ 224 [2006]
  • The economic consequences of alien plant invasions: Examples of impacts and approaches to sustainable management in South Africa
    Van Wilgen, B. W. Environment, Development and Sustainability 3 (2) : 145 ~ 168 [2001]
  • The distribution of soil nutrients with depth: global patterns and the imprint of plants
    Jobbágy E. G. Biogeochemistry 53 (1) : 51 ~ 77 [2001]
  • Technical support to EU strategy on invasive species (IAS)-Assessment of the impacts of IAS in Europe and the EU (final module report for the European Commission) : 43 ~
  • Species distribution models: ecological explanation and prediction across space and time
    Elith, J. Annual Review of Ecology, Evolution, and Systematics 40 (1) : 677 ~ [2009]
  • Species distribution models and ecological theory: a critical assessment and some possible new approaches
    Austin, M. Ecological modelling 200 (1) : 1 ~ 19 [2007]
  • Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models
    Veloz, S. D. Journal of Biogeography 36 (12) : 2290 ~ 2299 [2009]
  • Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling
    Naimi, B. Journal of Biogeography 38 (8) : 1497 ~ 1509 [2011]
  • Selecting thresholds for the prediction of species occurrence with presence-only data
    Liu, C. Journal of Biogeography 40 (4) : 778 ~ 789 [2013]
  • SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
    Brown, J. L. Methods in Ecology and Evolution 5 (7) : 694 ~ 700 [2014]
  • Quantifying threats to imperiled species in the United States
    Wilcove, D. S. BioScience 48 (8) : 607 ~ 615 [1998]
  • Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar
    Pearson, R. G. Journal of Biogeography 34 (1) : 102 ~ 117 [2007]
  • Monitoring of invasive alien species designated by the wild life protection act(Ⅶ)
    NIER [2013]
  • Monitoring of invasive alien species designated by the wild life protection act(Ⅵ)
    NIER [2012]
  • Monitoring of invasive alien species designated by the wild life protection act(Ⅴ)
    NIER [2011]
  • Monitoring of invasive alien species designated by the wild life protection act(Ⅳ)
    NIER [2001]
  • Monitoring of invasive alien species designated by the wild life protection act(Ⅲ)
    NIER [2009]
  • Monitoring of invasive alien species designated by the wild life protection act(Ⅱ)
    NIER [2008]
  • Monitoring of invasive alien species designated by the wild life protection act
    NIER [2007]
  • Modeling of species distributions with Maxent : new extensions and a comprehensive evaluation
    Phillips, S. J. Ecography 31 (2) : 161 ~ 175 [2008]
  • Measuring the accuracy of diagnostic systems
    Swets, J. A. Science 240 (4857) : 1285 ~ 1293 [1988]
  • Maximum entropy modeling of species geographic distributions
    Phillips, S. J. Ecological modelling 190 (3) : 231 ~ 259 [2006]
  • Mapping Species Distributions:Spatial Inference and Prediction
    Franklin, J. Cambridge University Press [2009]
  • Invasive alien species: a new synthesis(Vol. 63)
    Mooney, H. A. Island press [2005]
  • Indicators validation for the improvement of environmental and social impact quantitative assessment
    Cloquell-Ballester, V. A. Environmental Impact Assessment Review 26 (1) : 79 ~ 105 [2006]
  • IUCN-International Union for Conservation of Nature
    IUCN Invasive Species [2011]
  • How to validate environmental indicators
    Bockstaller, C. Agricultural systems 76 (2) : 639 ~ 653 [2003]
  • How to manage biological invasions under globalization
    Perrings, C. Trends in ecology & evolution 20 (5) : 212 ~ 215 [2005]
  • Global biodiversity scenarios for the year 2100
    Sala, O. E. Science 287 (5459) : 1770 ~ 1774
  • Effects of incorporating spatial autocorrelation into the analysis of species distribution data
    Dormann, C. F. Global ecology and biogeography 16 (2) : 129 ~ 138 [2007]
  • Economic and environmental threats of alien plant, animal, and microbe invasions
    Pimentel, D Agriculture, Ecosystems & Environment 84 (1) : 1 ~ 20 [2001]
  • Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria
    Warren, D. L. Ecological Applications 21 (2) : 335 ~ 342 [2011]
  • Does niche divergence accompany allopatric divergence in Aphelocoma jays as predicted under ecological speciation?: insights from tests with niche models
    McCormack, J. E. Evolution 64 (5) : 1231 ~ 1244 [2010]
  • Distributions of Naturalized Alien Plants in South Korea 1
    Kil, J. H. Weed Technology 18 (sp1) : 1493 ~ 1495 [2004]
  • Development of environmentallyfriendly control of Burcucumber
    Kang, B. H. [2014]
  • Consequences of spatial autocorrelation for niche-based models
    Segurado, P. Journal of Applied Ecology 43 (3) : 433 ~ 444 [2006]
  • CBD-Convention on Biological Diversity
    CBD Alien Species that Threaten Ecosystems, Habitats or Species [2008]
  • Biological Invasions: Economic and Environmental Costs of Alien Plant, Animal, and Microbe Species
    Pimentel, D CRC Press [2002]
  • BIOMOD-optimizing predictions of species distributions and projecting potential future shifts under global change
    Thuiller, W Global change biology 9 (10) : 1353 ~ 1362 [2003]
  • Assessing changes in plant distribution patternsindicator species versus plant functional types
    Cousins S. A. Ecological Indicators 4 (1) : 17 ~ 27 [2004]
  • Are invasive species a major cause of extinctions?
    Gurevitch, J. Trends in Ecology & Evolution 19 (9) : 470 ~ 474 [2004]
  • Applied logistic regression
    Hosmer Jr, D. W. John Wiley & Sons [2004]
  • A statistical explanation of MaxEnt for ecologists
    Elith, J. Diversity and Distributions 17 (1) : 43 ~ 57 [2011]
  • A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter
    Merow, C. Ecography 36 (10) : 1058 ~ 1069 [2013]
  • A biome-scale assessment of the impact of invasive alien plants on ecosystem services in South Africa
    Van Wilgen, B. W. Journal of Environmental Management 89 (4) : 336 ~ 349 [2008]
  • A MODIS-based global 1-km Maximum Green Vegetation Fraction dataset
    Broxton, P. D. Journal of Applied Meteorology and Climatology 53 (8) : 1996 ~ 2004 [2014]