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Volumn 33, Issue 6, 2010, Pages 1015-1027

Prospective sampling based on model ensembles improves the detection of rare species

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; CONSERVATION MANAGEMENT; DATA SET; DESIGN; DETECTION METHOD; ECOLOGICAL MODELING; GEOGRAPHICAL DISTRIBUTION; IDENTIFICATION METHOD; NUMERICAL MODEL; PLANT; POPULATION DISTRIBUTION; POPULATION STRUCTURE; RARE SPECIES; SAMPLING; SPATIAL RESOLUTION; SPECIES CONSERVATION;

EID: 78650325189     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2010.06338.x     Document Type: Article
Times cited : (66)

References (54)
  • 1
    • 34247573849 scopus 로고    scopus 로고
    • Modeling distributions of rare plants in the Great Basin, western North America
    • Aitken, M. et al. 2007. Modeling distributions of rare plants in the Great Basin, western North America. West. N. Am. Nat. 67: 26-38.
    • (2007) West. N. Am. Nat , vol.67 , pp. 26-38
    • Aitken, M.1
  • 2
    • 78649931036 scopus 로고
    • Second International Symposium on Information Theory
    • Petrov, B. N. and, Csaki, F. (eds), Akademiai Kiado
    • Akaike, H. 1973. Information theory and extension of the Maximum Likelihood principle. - In: Petrov, B. N. and Csaki, F. (eds), Second International Symposium on Information Theory. Akademiai Kiado, pp. 267-281.
    • (1973) Information theory and extension of the Maximum Likelihood principle , pp. 267-281
    • Akaike, H.1
  • 3
    • 33845633261 scopus 로고    scopus 로고
    • Ensemble forecasting of species distributions
    • Araújo, M. B. and New, M. 2007. Ensemble forecasting of species distributions. Trends Ecol. Evol. 22: 42-47.
    • (2007) Trends Ecol. Evol , vol.22 , pp. 42-47
    • Araújo, M.B.1    New, M.2
  • 4
    • 22744459817 scopus 로고    scopus 로고
    • Fortschritte in der Floristik der Schweizer Flora (Gefässpflanzen)
    • Bäumler, B. et al. 2005. Fortschritte in der Floristik der Schweizer Flora (Gefässpflanzen). Bot. Helv. 115: 83-93.
    • (2005) Bot. Helv , vol.115 , pp. 83-93
    • Bäumler, B.1
  • 5
    • 0041312411 scopus 로고    scopus 로고
    • Predicting rare plant occurrence in Great Smoky Mountains National Park, USA
    • Boetsch, J. R. et al. 2003. Predicting rare plant occurrence in Great Smoky Mountains National Park, USA. Nat. Areas J. 23: 229-237.
    • (2003) Nat. Areas J , vol.23 , pp. 229-237
    • Boetsch, J.R.1
  • 6
    • 77951150223 scopus 로고    scopus 로고
    • Do habitat suitability models reliably predict the recovery areas of threatened species?
    • Cianfrani, C. et al. 2010. Do habitat suitability models reliably predict the recovery areas of threatened species?. J. Appl. Ecol. 47: 421-430.
    • (2010) J. Appl. Ecol , vol.47 , pp. 421-430
    • Cianfrani, C.1
  • 7
    • 33748533912 scopus 로고    scopus 로고
    • Banque de données phyto des forêts vaudoises. Résultats de l'analyse des relevés du Nord vaudois
    • Service des forêts, de la faune et de la nature du Canton de Vaud.
    • Clot, F. and Delarze, R. 1998. Banque de données phyto des forêts vaudoises. Résultats de l'analyse des relevés du Nord vaudois. Service des forêts, de la faune et de la nature du Canton de Vaud.
    • (1998)
    • Clot, F.1    Delarze, R.2
  • 8
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • Cohen, J. 1960. A coefficient of agreement for nominal scales. Educ. Psychol. Measure. 20: 37-46.
    • (1960) Educ. Psychol. Measure , vol.20 , pp. 37-46
    • Cohen, J.1
  • 9
    • 58149412516 scopus 로고
    • Weighted Kappa - nominal scale agreement with provision for scaled disagreement or partial credit
    • Cohen, J. 1968. Weighted Kappa - nominal scale agreement with provision for scaled disagreement or partial credit. Psychol. Bull. 70: 213-220.
    • (1968) Psychol. Bull , vol.70 , pp. 213-220
    • Cohen, J.1
  • 10
    • 0027435836 scopus 로고
    • The hierarchical continuum concept
    • Collins, S. L. et al. 1993. The hierarchical continuum concept. J. Veg. Sci. 4: 149-156.
    • (1993) J. Veg. Sci , vol.4 , pp. 149-156
    • Collins, S.L.1
  • 11
    • 0037044885 scopus 로고    scopus 로고
    • Predictive ecology to the rescue?
    • Côté, I. M. and Reynolds, J. D. 2002. Predictive ecology to the rescue?. Science 298: 1181-1182.
    • (2002) Science , vol.298 , pp. 1181-1182
    • Côté, I.M.1    Reynolds, J.D.2
  • 12
    • 78650346945 scopus 로고
    • La végétation de la région de Derborence (Conthey, Chamoson, Valais)
    • Inst de Botanique Systématique et de Géobotanique, Univ of Lausanne
    • Droz, J. 1994. La végétation de la région de Derborence (Conthey, Chamoson, Valais). Inst de Botanique Systématique et de Géobotanique, Univ of Lausanne, p. 239.
    • (1994) , pp. 239
    • Droz, J.1
  • 13
    • 18444415493 scopus 로고    scopus 로고
    • Model-based stratifications for enhancing the detection of rare ecological events: lichens as a case study
    • Edwards, T. C. J. et al. 2005. Model-based stratifications for enhancing the detection of rare ecological events: lichens as a case study. Ecology 86: 1081-1090.
    • (2005) Ecology , vol.86 , pp. 1081-1090
    • Edwards, T.C.J.1
  • 14
    • 63849287596 scopus 로고    scopus 로고
    • Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
    • Elith, J. and Graham, C. H. 2009. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. Ecography 32: 66-77.
    • (2009) Ecography , vol.32 , pp. 66-77
    • Elith, J.1    Graham, C.H.2
  • 15
    • 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: 129-151.
    • (2006) Ecography , vol.29 , pp. 129-151
    • Elith, J.1
  • 16
    • 1942456846 scopus 로고    scopus 로고
    • An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
    • Engler, R. et al. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. J. Appl. Ecol. 41: 263-274.
    • (2004) J. Appl. Ecol , vol.41 , pp. 263-274
    • Engler, R.1
  • 17
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence-absence models.-Environ
    • Fielding, A. H. and Bell, J. F. 1997. A review of methods for the assessment of prediction errors in conservation presence-absence models.-Environ. Conserv. 24: 38-49.
    • (1997) Conserv , vol.24 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 18
    • 84923957743 scopus 로고    scopus 로고
    • Mapping species distribution: inference and prediction
    • Cambridge Univ. Press.
    • Franklin, J. 2010. Mapping species distribution: inference and prediction. Cambridge Univ. Press.
    • (2010)
    • Franklin, J.1
  • 19
    • 22144461770 scopus 로고    scopus 로고
    • Les régions biogéographiques de la Suisse. Explications et division standard
    • Cahier de l'environnement no. 137, Office fédéral de l'environnement, des fôrets et du paysage.
    • Gonseth, Y. et al. 2001. Les régions biogéographiques de la Suisse. Explications et division standard. Cahier de l'environnement no. 137, Office fédéral de l'environnement, des fôrets et du paysage.
    • (2001)
    • Gonseth, Y.1
  • 20
    • 4344601500 scopus 로고    scopus 로고
    • New developments in museum-based informatics and applications in biodiversity analysis
    • Graham, C. H. et al. 2004. New developments in museum-based informatics and applications in biodiversity analysis. Trends Ecol. Evol. 19: 497-503.
    • (2004) Trends Ecol. Evol , vol.19 , pp. 497-503
    • Graham, C.H.1
  • 21
    • 0003406258 scopus 로고
    • Sampling design and statistical methods for environmental biologists
    • Wiley.
    • Green, R. H. 1979. Sampling design and statistical methods for environmental biologists. Wiley.
    • (1979)
    • Green, R.H.1
  • 22
    • 33750602888 scopus 로고    scopus 로고
    • Global distribution and conservation of rare and threatened vertebrates
    • Grenyer, R. et al. 2006. Global distribution and conservation of rare and threatened vertebrates. Nature 444: 93-96.
    • (2006) Nature , vol.444 , pp. 93-96
    • Grenyer, R.1
  • 23
    • 0037412307 scopus 로고    scopus 로고
    • Using GIS to guide field surveys for timberline sparrows in northwestern Montana
    • Griffin, S. C. et al. 2003. Using GIS to guide field surveys for timberline sparrows in northwestern Montana. Northwest Sci. 77: 54-63.
    • (2003) Northwest Sci , vol.77 , pp. 54-63
    • Griffin, S.C.1
  • 24
    • 0034610199 scopus 로고    scopus 로고
    • Predictive habitat distribution models in ecology
    • Guisan, A. and Zimmermann, N. E. 2000. Predictive habitat distribution models in ecology. Ecol. Model. 135: 147-186.
    • (2000) Ecol. Model , vol.135 , pp. 147-186
    • Guisan, A.1    Zimmermann, N.E.2
  • 25
    • 0041733201 scopus 로고    scopus 로고
    • Predicting reptile distributions at the mesoscale: relation to climate and topography
    • Guisan, A. and Hofer, U. 2003. Predicting reptile distributions at the mesoscale: relation to climate and topography. J. Biogeogr. 30: 1233-1243.
    • (2003) J. Biogeogr , vol.30 , pp. 1233-1243
    • Guisan, A.1    Hofer, U.2
  • 26
    • 24344493920 scopus 로고    scopus 로고
    • Predicting species distribution: offering more than simple habitat models
    • Guisan, A. and Thuiller, W. 2005. Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 8: 993-1009.
    • (2005) Ecol. Lett , vol.8 , pp. 993-1009
    • Guisan, A.1    Thuiller, W.2
  • 27
    • 33645110300 scopus 로고    scopus 로고
    • Using niche-based models to improve the sampling of rare species
    • Guisan, A. et al. 2006a. Using niche-based models to improve the sampling of rare species. Conserv. Biol. 20: 501-511.
    • (2006) Conserv. Biol , vol.20 , pp. 501-511
    • Guisan, A.1
  • 28
    • 33646540398 scopus 로고    scopus 로고
    • Making better biogeographical predictions of species' distributions
    • Guisan, A. et al. 2006b. Making better biogeographical predictions of species' distributions. J. Appl. Ecol. 43: 386-392.
    • (2006) J. Appl. Ecol , vol.43 , pp. 386-392
    • Guisan, A.1
  • 29
    • 84972488102 scopus 로고
    • Generalized additive models
    • Hastie, T. and Tibshirani, R. 1986. Generalized additive models. Stat. Sci. 1: 297-318.
    • (1986) Stat. Sci , vol.1 , pp. 297-318
    • Hastie, T.1    Tibshirani, R.2
  • 30
    • 0037202454 scopus 로고    scopus 로고
    • Which is the optimal sampling strategy for habitat suitability modelling
    • Hirzel, A. and Guisan, A. 2002. Which is the optimal sampling strategy for habitat suitability modelling. Ecol. Model. 157: 331-341.
    • (2002) Ecol. Model , vol.157 , pp. 331-341
    • Hirzel, A.1    Guisan, A.2
  • 31
    • 50649100845 scopus 로고    scopus 로고
    • Habitat suitability modeling and niche theory
    • Hirzel, A. H. and Le Lay, G. 2008. Habitat suitability modeling and niche theory. J. Appl. Ecol. 45: 1372-1381.
    • (2008) J. Appl. Ecol , vol.45 , pp. 1372-1381
    • Hirzel, A.H.1    Le Lay, G.2
  • 32
    • 0003337955 scopus 로고    scopus 로고
    • Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?
    • Hirzel, A. H. et al. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data?. Ecology 83: 2027-2036.
    • (2002) Ecology , vol.83 , pp. 2027-2036
    • Hirzel, A.H.1
  • 33
    • 33749993815 scopus 로고    scopus 로고
    • Biomapper 3.2
    • Laboratory for Conservation Biology, Univ. of Lausanne.
    • Hirzel, A. et al. 2006a. Biomapper 3.2. Laboratory for Conservation Biology, Univ. of Lausanne.
    • (2006)
    • Hirzel, A.1
  • 34
    • 33750006271 scopus 로고    scopus 로고
    • Evaluating the ability of habitat suitability models to predict species presences
    • Hirzel, A. H. et al. 2006b. Evaluating the ability of habitat suitability models to predict species presences. Ecol. Model. 199: 142-152.
    • (2006) Ecol. Model , vol.199 , pp. 142-152
    • Hirzel, A.H.1
  • 35
    • 13244261767 scopus 로고    scopus 로고
    • Why sparrow distributions do not match model predictions
    • Jenkins, C. N. et al. 2003. Why sparrow distributions do not match model predictions. Anim. Conserv. 6: 39-46.
    • (2003) Anim. Conserv , vol.6 , pp. 39-46
    • Jenkins, C.N.1
  • 36
    • 72049101628 scopus 로고    scopus 로고
    • Using taxonomic revision data to estimate the geographic and taxonomic distribution of undescribed species richness in the Braconidae (Hymenoptera: Ichneumonoidea)
    • Jones, O. R. et al. 2009. Using taxonomic revision data to estimate the geographic and taxonomic distribution of undescribed species richness in the Braconidae (Hymenoptera: Ichneumonoidea). Insect Conserv. Divers. 2: 204-212.
    • (2009) Insect Conserv. Divers , vol.2 , pp. 204-212
    • Jones, O.R.1
  • 37
    • 0037202453 scopus 로고    scopus 로고
    • GRASP: generalized regression analysis and spatial prediction
    • Lehmann, A. et al. 2002. GRASP: generalized regression analysis and spatial prediction. Ecol. Model. 157: 189-207.
    • (2002) Ecol. Model , vol.157 , pp. 189-207
    • Lehmann, A.1
  • 38
    • 33845473138 scopus 로고    scopus 로고
    • Biological invasions: recommendations for US policy and management
    • Lodge, D. M. et al. 2006. Biological invasions: recommendations for US policy and management. Ecol. Appl. 16: 2035-2054.
    • (2006) Ecol. Appl , vol.16 , pp. 2035-2054
    • Lodge, D.M.1
  • 39
    • 33745719239 scopus 로고    scopus 로고
    • Improving generalized regression analysis for the spatial prediction of forest communities
    • Maggini, R. et al. 2006. Improving generalized regression analysis for the spatial prediction of forest communities. J. Biogeogr. 33: 1729-1749.
    • (2006) J. Biogeogr , vol.33 , pp. 1729-1749
    • Maggini, R.1
  • 40
    • 0034636577 scopus 로고    scopus 로고
    • Systematic conservation planning
    • Margules, C. R. and Pressey, R. L. 2000. Systematic conservation planning. Nature 405: 243-253.
    • (2000) Nature , vol.405 , pp. 243-253
    • Margules, C.R.1    Pressey, R.L.2
  • 41
    • 57349127473 scopus 로고    scopus 로고
    • Evaluation of consensus methods in predictive species distribution modelling
    • Marmion, M. et al. 2009. Evaluation of consensus methods in predictive species distribution modelling. Divers. Distrib. 15: 59-69.
    • (2009) Divers. Distrib , vol.15 , pp. 59-69
    • Marmion, M.1
  • 42
    • 0038300780 scopus 로고    scopus 로고
    • Climatic and biophysical controls on conifer species distributions in mountain forests of Washington State, USA
    • McKenzie, D. et al. 2003. Climatic and biophysical controls on conifer species distributions in mountain forests of Washington State, USA. J. Biogeogr. 30: 1093-1108.
    • (2003) J. Biogeogr , vol.30 , pp. 1093-1108
    • McKenzie, D.1
  • 43
    • 0022826981 scopus 로고
    • Predicting rare plant distribution patterns in the southern Appalachians of the south-eastern U.S.A
    • Miller, R. I. 1986. Predicting rare plant distribution patterns in the southern Appalachians of the south-eastern U.S.A. J. Biogeogr. 13: 293-311.
    • (1986) J. Biogeogr , vol.13 , pp. 293-311
    • Miller, R.I.1
  • 44
    • 0037202445 scopus 로고    scopus 로고
    • Comparing five modelling techniques for predicting forest characteristics
    • Moisen, G. G. and Frescino, T. S. 2002. Comparing five modelling techniques for predicting forest characteristics. Ecol. Model. 157: 209-225.
    • (2002) Ecol. Model , vol.157 , pp. 209-225
    • Moisen, G.G.1    Frescino, T.S.2
  • 45
    • 67649989012 scopus 로고    scopus 로고
    • How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabies Petrogale penicillata
    • Murray, J. V. et al. 2009. How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabies Petrogale penicillata. J. Appl. Ecol. 46: 842-851.
    • (2009) J. Appl. Ecol , vol.46 , pp. 842-851
    • Murray, J.V.1
  • 46
    • 0033907676 scopus 로고    scopus 로고
    • On the relationship between niche and distribution
    • Pulliam, H. R. 2000. On the relationship between niche and distribution. Ecol. Lett. 3: 349-361.
    • (2000) Ecol. Lett , vol.3 , pp. 349-361
    • Pulliam, H.R.1
  • 47
    • 0031015926 scopus 로고    scopus 로고
    • Science and the protection of endangered species
    • Pulliam, H. R. and Babbitt, B. 1997. Science and the protection of endangered species. Science 275: 499-500.
    • (1997) Science , vol.275 , pp. 499-500
    • Pulliam, H.R.1    Babbitt, B.2
  • 48
    • 33646543813 scopus 로고    scopus 로고
    • Are niche-based species distribution models transferable in space?
    • Randin, C. F. et al. 2006. Are niche-based species distribution models transferable in space?. J. Biogeogr. 33: 1689-1703.
    • (2006) J. Biogeogr , vol.33 , pp. 1689-1703
    • Randin, C.F.1
  • 49
    • 0023890867 scopus 로고
    • Measuring the accuracy of diagnostic systems
    • Swets, J. A. 1988. Measuring the accuracy of diagnostic systems. Science 240: 1285-1293.
    • (1988) Science , vol.240 , pp. 1285-1293
    • Swets, J.A.1
  • 50
    • 44149102635 scopus 로고    scopus 로고
    • Applying species distribution modelling for the conservation of the threatened saproxylic stag beetle (Lucanus cervus)
    • Thomaes, A. et al. 2008. Applying species distribution modelling for the conservation of the threatened saproxylic stag beetle (Lucanus cervus). Biol. Conserv. 141: 1400-1410.
    • (2008) Biol. Conserv , vol.141 , pp. 1400-1410
    • Thomaes, A.1
  • 51
    • 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 32: 369-373.
    • (2009) Ecography , vol.32 , pp. 369-373
    • Thuiller, W.1
  • 52
    • 0035421152 scopus 로고    scopus 로고
    • Monitoring of biological diversity in space and time
    • Yoccoz, N. G. et al. 2001. Monitoring of biological diversity in space and time. Trends Ecol. Evol. 16: 446-453.
    • (2001) Trends Ecol. Evol , vol.16 , pp. 446-453
    • Yoccoz, N.G.1
  • 53
    • 0033179955 scopus 로고    scopus 로고
    • Predictive mapping of alpine grasslands in Switzerland: species versus community approach
    • Zimmermann, N. E. and Kienast, F. 1999. Predictive mapping of alpine grasslands in Switzerland: species versus community approach. J. Veg. Sci. 10: 469-482.
    • (1999) J. Veg. Sci , vol.10 , pp. 469-482
    • Zimmermann, N.E.1    Kienast, F.2
  • 54
    • 34548421188 scopus 로고    scopus 로고
    • Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah
    • Zimmermann, N. E. et al. 2007. Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah. J. Appl. Ecol. 44: 1057-1067.
    • (2007) J. Appl. Ecol , vol.44 , pp. 1057-1067
    • Zimmermann, N.E.1


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