메뉴 건너뛰기




Volumn 10, Issue 2, 2012, Pages 119-126

Labeling ecological niche models

Author keywords

Bioclimatic envelope models; Biodiversity; Climate change; Conservation planning; MaxEnt; Species distribution models

Indexed keywords


EID: 84875127376     PISSN: 16790073     EISSN: None     Source Type: Journal    
DOI: 10.4322/natcon.2012.030     Document Type: Article
Times cited : (103)

References (44)
  • 1
    • 33748529602 scopus 로고    scopus 로고
    • Five (or so) challenges for species distribution modelling
    • Araújo MB & Guisan A, 2006. Five (or so) challenges for species distribution modelling. Journal of Biogeography, 33()(10):1677-1688. http://dx.doi. org/10.1111/j.1365-2699.2006.01584.x
    • (2006) Journal of Biogeography , vol.33 , Issue.10 , pp. 1677-1688
    • Araújo, M.B.1    Guisan, A.2
  • 2
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo MB & New M, 2007. Ensemble forecasting of species distributions. Trends in Ecology and Evolution, 22(1):42-47. http://dx.doi.org/10.1016/j.tree.2006.09.010
    • (2007) Trends in Ecology and Evolution , vol.22 , Issue.1 , pp. 42-47
    • Araújo, M.B.1    New, M.2
  • 3
    • 84864255928 scopus 로고    scopus 로고
    • Uses and misuses of bioclimatic envelope modeling
    • Araújo MB & Peterson AT, 2012. Uses and misuses of bioclimatic envelope modeling. Ecology, 93(7):1527-1539. http://dx.doi. org/10.1890/11-1930.1
    • (2012) Ecology , vol.93 , Issue.7 , pp. 1527-1539
    • Araújo, M.B.1    Peterson, A.T.2
  • 5
    • 77954774296 scopus 로고    scopus 로고
    • Can mechanism inform species' distribution models
    • Buckely LB et al., 2010. Can mechanism inform species' distribution models. Ecology Letters, 13:1041-1054. http:// dx.doi.org/10.3410/f.6630956.6777054
    • (2010) Ecology Letters , vol.13 , pp. 1041-1054
    • Buckely, L.B.1
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests.
    • Breiman L, 2001. Random Forests. Machine Learning, 45(1):5-32. http://dx.doi.org/10.1023/A:1010933404324
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 0030302587 scopus 로고    scopus 로고
    • The geographic range: size, shape, boundaries, and internal structure
    • Brown JH et al., 1996. The geographic range: size, shape, boundaries, and internal structure. Annual review of ecology and systematics, 27:597-623. http://dx.doi.org/10.1146/annurev.ecolsys.27.1.597
    • (1996) Annual review of ecology and systematics , vol.27 , pp. 597-623
    • Brown, J.H.1
  • 8
    • 0026304090 scopus 로고
    • a bioclimatic analysis and prediction system
    • BIOCLIM Margules CR & Austin MP. cost effective biological surveys and data analysis. Intl Specialized Book Service Inc
    • Busby JR, 1991. BIOCLIM - a bioclimatic analysis and prediction system. In: Margules CR & Austin MP. Nature Conservation: cost effective biological surveys and data analysis. Intl Specialized Book Service Inc. p. 64-68.
    • (1991) Nature Conservation , pp. 64-68
    • Busby, J.R.1
  • 9
    • 0027130075 scopus 로고
    • a flexible modelling procedure for mapping potential distributions of plants and animals
    • DOMAIN
    • Carpenter G, Gillison AN & Winter J, 1993. DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals. Biodiversity and Conservation, 2(6):667-680. http://dx.doi.org/10.1007/ BF00051966
    • (1993) Biodiversity and Conservation , vol.2 , Issue.6 , pp. 667-680
    • Carpenter, G.1    Gillison, A.N.2    Winter, J.3
  • 11
    • 78049461376 scopus 로고    scopus 로고
    • The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of Utetheisa ornatrix (Lepidoptera,Arctiidae).
    • Diniz Filho JAF et al., 2010. The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of Utetheisa ornatrix (Lepidoptera, Arctiidae). Revista Brasileira de Entomologia, 54(3):339-349. http://dx.doi.org/10.1590/S0085-56262010000300001
    • (2010) Revista Brasileira de Entomologia , vol.54 , Issue.3 , pp. 339-349
    • Diniz Filho, J.A.F.1
  • 12
    • 72049091777 scopus 로고    scopus 로고
    • Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change
    • Diniz-Filho JAF et al., 2009. Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change. Ecography, 32(6):897-906. http://dx.doi.org/10.1111/j.1600-0587.2009.06196.x
    • (2009) Ecography , vol.32 , Issue.6 , pp. 897-906
    • Diniz-Filho, J.A.F.1
  • 13
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith J et al., 2006. Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29(2):129-151. http://dx.doi.org/10.1111/j.2006.0906-7590.04596.x
    • (2006) Ecography , vol.29 , Issue.2 , pp. 129-151
    • Elith, J.1
  • 14
    • 73949141293 scopus 로고    scopus 로고
    • Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
    • Elith J & Leathwick JR, 2009. Species Distribution Models: Ecological Explanation and Prediction Across Space and Time. Annual Review of Ecology, Evolution, and Systematics, 40:677-697. http://dx.doi.org/10.1146/annurev. ecolsys.110308.120159
    • (2009) Annual Review of Ecology, Evolution, and Systematics , vol.40 , pp. 677-697
    • Elith, J.1    Leathwick, J.R.2
  • 15
    • 84870351748 scopus 로고    scopus 로고
    • Defining spatial conservation priorities in the face of land-use and climate change
    • Faleiro FV et al., 2013. Defining spatial conservation priorities in the face of land-use and climate change. Biological Conservation, 158:248-257.
    • (2013) Biological Conservation , vol.158 , pp. 248-257
    • Faleiro, F.V.1
  • 17
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • Friedman JH, 1991. Multivariate adaptive regression splines. Annals of Statistics, 19(1):1-141. http://dx.doi.org/10.1214/aos/1176347963
    • (1991) Annals of Statistics , vol.19 , Issue.1 , pp. 1-141
    • Friedman, J.H.1
  • 18
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: a gradient boosting machine
    • Friedman JH, 2001. Greedy function approximation: a gradient boosting machine. Annals of Statistics, 29(5):1189-1232. http://dx.doi.org/10.1214/aos/1013203451
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 19
    • 84858446826 scopus 로고    scopus 로고
    • Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates
    • Garcia RA et al., 2012. Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates. Global Change Biology, 18(4):1253-1269. http:// dx.doi.org/10.1111/j.1365-2486.2011.02605.x
    • (2012) Global Change Biology , vol.18 , Issue.4 , pp. 1253-1269
    • Garcia, R.A.1
  • 21
    • 0037202446 scopus 로고    scopus 로고
    • Generalized linear and generalized additive models in studies of species distributions: setting the scene
    • Guisan A et al., 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecological Modelling, 157(2-3):89-100. http:// dx.doi.org/10.1016/S0304-3800(02)00204-1
    • (2002) Ecological Modelling , vol.157 , Issue.2-3 , pp. 89-100
    • Guisan, A.1
  • 22
    • 84972488102 scopus 로고
    • Generalized Additive Models
    • Hastie T & Tibshirani R, 1986. Generalized Additive Models. Statistical Science, 1(3):297-310. http://dx.doi.org/10.1214/ss/1177013604
    • (1986) Statistical Science , vol.1 , Issue.3 , pp. 297-310
    • Hastie, T.1    Tibshirani, R.2
  • 23
    • 0003337955 scopus 로고    scopus 로고
    • Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data
    • Hirzel AH et al., 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology, 83(7):2027-2036. http://dx.doi. org/10.1890/0012-9658(2002)083[2027:ENFAHT]2.0.CO;2
    • (2002) Ecology , vol.83 , Issue.7 , pp. 2027-2036
    • Hirzel, A.H.1
  • 24
    • 54049102026 scopus 로고    scopus 로고
    • Not as good as they seem: the importance of concepts in species distribution modelling
    • Jiménez-Valverde A et al., 2008. Not as good as they seem: the importance of concepts in species distribution modelling. Diversity and Distributions, 14(6):885-890. http://dx.doi. org/10.1111/j.1472-4642.2008.00496.x
    • (2008) Diversity and Distributions , vol.14 , Issue.6 , pp. 885-890
    • Jiménez-Valverde, A.1
  • 25
    • 84900232437 scopus 로고    scopus 로고
    • Using species distribution models for conservation planning and ecological forecasting
    • Drew Yolanda A et al. (eds. ). New York: Springer
    • Lawler JJ et al., 2011. Using species distribution models for conservation planning and ecological forecasting. In: Drew Yolanda A et al. (eds.). Predictive Modeling in Landscape Ecology. New York: Springer. p. 271-290. http://dx.doi. org/10.1007/978-1-4419-7390-0_14
    • (2011) Predictive Modeling in Landscape Ecology , pp. 271-290
    • Lawler, J.J.1
  • 26
    • 84864098867 scopus 로고    scopus 로고
    • Refinando Dados Espaciais para a Conservação da Biodiversidade
    • Lemes P et al., 2011. Refinando Dados Espaciais para a Conservação da Biodiversidade. Natureza & Conservação, 9(2):240-243. http://dx.doi.org/10.4322/ natcon.2011.032
    • (2011) Natureza & Conservação , vol.9 , Issue.2 , pp. 240-243
    • Lemes, P.1
  • 27
    • 85045014889 scopus 로고
    • The strategy of model building in population biology
    • Levins R, 1966. The strategy of model building in population biology. American Scientist, 54:421-431.
    • (1966) American Scientist , vol.54 , pp. 421-431
    • Levins, R.1
  • 28
    • 38949161848 scopus 로고    scopus 로고
    • a misleading measure of the performance of predictive distribution models
    • AUC
    • Lobo JM et al., 2008. AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography, 17(2):145-151. http://dx.doi. org/10.1111/j.1466-8238.2007.00358.x
    • (2008) Global Ecology and Biogeography , vol.17 , Issue.2 , pp. 145-151
    • Lobo, J.M.1
  • 29
    • 84866997217 scopus 로고    scopus 로고
    • Severe loss of suitable climatic conditions for marsupial species in Brazil: challenges and opportunities for conservation
    • Loyola RD et al., 2012. Severe loss of suitable climatic conditions for marsupial species in Brazil: challenges and opportunities for conservation. PLoS ONE, 7:e46257. http://dx.doi. org/10.1371/journal.pone.0046257
    • (2012) PLoS ONE , vol.7
    • Loyola, R.D.1
  • 30
    • 0032694546 scopus 로고    scopus 로고
    • Alternative methods for predicting species distribution: an illustration with Himalayan river birds
    • Manel S et al., 1999. Alternative methods for predicting species distribution: an illustration with Himalayan river birds. Journal of Applied Ecology, 36(5):734-747. http://dx.doi. org/10.1046/j.1365-2664.1999.00440.x
    • (1999) Journal of Applied Ecology , vol.36 , Issue.5 , pp. 734-747
    • Manel, S.1
  • 31
    • 70350759657 scopus 로고    scopus 로고
    • Major current and future gaps of Brazilian reserves to protect Neotropical savanna birds
    • Marini MA et al., 2009. Major current and future gaps of Brazilian reserves to protect Neotropical savanna birds. Biological Conservation, 142(12):3039-3050. http://dx.doi. org/10.1016/j.biocon.2009.08.002
    • (2009) Biological Conservation , vol.142 , Issue.12 , pp. 3039-3050
    • Marini, M.A.1
  • 32
    • 84875145805 scopus 로고    scopus 로고
    • Spatial Conservation Prioritization in Data-Poor Areas of the World
    • Moilanen A, 2012. Spatial Conservation Prioritization in Data-Poor Areas of the World. Natureza & Conservação, 10(1):12-19. http://dx.doi.org/10.4322/natcon.2012.003
    • (2012) Natureza & Conservação , vol.10 , Issue.1 , pp. 12-19
    • Moilanen, A.1
  • 33
    • 0141856572 scopus 로고    scopus 로고
    • Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful
    • Pearson RG & Dawson TP, 2003. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12(5):361-371. http://dx.doi. org/10.1046/j.1466-822X.2003.00042.x
    • (2003) Global Ecology and Biogeography , vol.12 , Issue.5 , pp. 361-371
    • Pearson, R.G.1    Dawson, T.P.2
  • 34
    • 33748501576 scopus 로고    scopus 로고
    • Model-based uncertainty in species range prediction
    • Pearson RG et al., 2006. Model-based uncertainty in species range prediction. Journal of Biogeography, 33(10):1704-1711. http://dx.doi.org/10.1111/j.1365-2699.2006.01460.x
    • (2006) Journal of Biogeography , vol.33 , Issue.10 , pp. 1704-1711
    • Pearson, R.G.1
  • 35
    • 84875204136 scopus 로고    scopus 로고
    • Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right
    • Peterson AT & Soberón J, 2012. Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right. Natureza & Conservação, 10(2): 102-107. http:// dx.doi.org/10.4322/natcon.2012.019
    • (2012) Natureza & Conservação , vol.10 , Issue.2 , pp. 102-107
    • Peterson, A.T.1    Soberón, J.2
  • 37
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips S et al., 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4):231-259. http://dx.doi.org/10.1016/j. ecolmodel.2005.03.026
    • (2006) Ecological Modelling , vol.190 , Issue.3-4 , pp. 231-259
    • Phillips, S.1
  • 38
    • 79952690829 scopus 로고    scopus 로고
    • Improving coarse species distribution data for conservation planning in biodiversity-rich, data-poor, regions: no easy shortcuts
    • Rodrigues ASL, 2011. Improving coarse species distribution data for conservation planning in biodiversity-rich, data-poor, regions: no easy shortcuts. Animal Conservation, 14(3):1-3. http://dx.doi.org/10.1111/j.1469-1795.2011.00451.x
    • (2011) Animal Conservation , vol.14 , Issue.3 , pp. 1-3
    • Rodrigues, A.S.L.1
  • 40
    • 35848961225 scopus 로고    scopus 로고
    • Grinnellian and Eltonian niches and geographic distributions of species
    • Soberón J, 2007. Grinnellian and Eltonian niches and geographic distributions of species. Ecology letters, 10(12):1115-23. http://dx.doi.org/10.1111/j.1461-0248.2007.01107.x
    • (2007) Ecology letters , vol.10 , Issue.12 , pp. 1115-1123
    • Soberón, J.1
  • 41
    • 0001195680 scopus 로고
    • Induction of sets of rules from animal distribution data: a robust and informative method of data analysis
    • Stockwell DRB & Noble IR, 1992. Induction of sets of rules from animal distribution data: a robust and informative method of data analysis. Mathematics and Computers in Simulation, 33(5-6):385-390. http://dx.doi. org/10.1016/0378-4754(92)90126-2
    • (1992) Mathematics and Computers in Simulation , vol.33 , Issue.5-6 , pp. 385-390
    • Stockwell, D.R.B.1    Noble, I.R.2
  • 42
    • 84875172552 scopus 로고    scopus 로고
    • Areas of Climate Stability of Species Ranges in the Brazilian Cerrado: Disentangling Uncertainties Through Time
    • Terribile LC et al., 2012. Areas of Climate Stability of Species Ranges in the Brazilian Cerrado: Disentangling Uncertainties Through Time. Natureza & Conservação, 10(2): 152-159. http://dx.doi.org/10.4322/natcon.2012.025
    • (2012) Natureza & Conservação , vol.10 , Issue.2 , pp. 152-159
    • Terribile, L.C.1
  • 43
    • 64649098806 scopus 로고    scopus 로고
    • BIOMOD - a platform for ensemble forecasting of species distributions
    • Thuiller W et al., 2009. BIOMOD - a platform for ensemble forecasting of species distributions. Ecography, http://dx.doi.org/10.1111/j.1600-0587.2008.05742.x, 32(3):369-373.
    • (2009) Ecography , vol.32 , Issue.3 , pp. 369-373
    • Thuiller, W.1
  • 44
    • 13444254479 scopus 로고    scopus 로고
    • Conservation Biogeography: assessment and prospect
    • Whittaker RJ et al., 2005. Conservation Biogeography: assessment and prospect. Diversity and Distributions, http:// dx.doi.org/10.1111/j.1366-9516.2005.00143.x 11(1):3-23.
    • (2005) Diversity and Distributions , vol.11 , Issue.1 , pp. 3-23
    • Whittaker, R.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.