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Volumn 39, Issue 11, 2016, Pages 1078-1088

Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species

Author keywords

[No Author keywords available]

Indexed keywords

AQUATIC ENVIRONMENT; ASSESSMENT METHOD; BIODIVERSITY; ECOLOGICAL MODELING; ENVIRONMENTAL CHANGE; FISH; FRESHWATER ECOSYSTEM; GEOGRAPHICAL DISTRIBUTION; HETEROGENEITY; RANGE SIZE; SPECIES OCCURRENCE;

EID: 84956912440     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/ecog.01925     Document Type: Article
Times cited : (36)

References (51)
  • 1
    • 11244324365 scopus 로고    scopus 로고
    • Landscapes and riverscapes: the influence of land use on stream ecosystems
    • Allan, J. D. 2004. Landscapes and riverscapes: the influence of land use on stream ecosystems. – Annu. Rev. Ecol. Evol. Syst. 35: 257–284.
    • (2004) Annu. Rev. Ecol. Evol. Syst , vol.35 , pp. 257-284
    • Allan, J.D.1
  • 2
    • 33750525529 scopus 로고    scopus 로고
    • Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)
    • Allouche, O. et al. 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). – J. Appl. Ecol. 43: 1223–1232.
    • (2006) J. Appl. Ecol , vol.43 , pp. 1223-1232
    • Allouche, O.1
  • 3
    • 84864054002 scopus 로고    scopus 로고
    • Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions
    • Anderson, R. P. 2012. Harnessing the world's biodiversity data: promise and peril in ecological niche modeling of species distributions. – Ann. N. Y. Acad. Sci. 1260: 66–80.
    • (2012) Ann. N. Y. Acad. Sci , vol.1260 , pp. 66-80
    • Anderson, R.P.1
  • 4
    • 38149112598 scopus 로고    scopus 로고
    • The freshwater animal diversity assessment – an overview of the results
    • Balian, E. V. et al. 2008. The freshwater animal diversity assessment – an overview of the results. – Hydrobiologia 595: 627–637.
    • (2008) Hydrobiologia , vol.595 , pp. 627-637
    • Balian, E.V.1
  • 5
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • Besag, J. 1974. Spatial interaction and the statistical analysis of lattice systems. – J. R. Stat. Soc. B 36: 192–236.
    • (1974) J. R. Stat. Soc. B , vol.36 , pp. 192-236
    • Besag, J.1
  • 6
    • 0032273615 scopus 로고    scopus 로고
    • General methods for monitoring convergence of iterative simulations
    • Brooks, S. P. and Gelman, A. 1998. General methods for monitoring convergence of iterative simulations. – J. Comp. Graph. Stat. 7: 434–455.
    • (1998) J. Comp. Graph. Stat , vol.7 , pp. 434-455
    • Brooks, S.P.1    Gelman, A.2
  • 7
    • 84870713580 scopus 로고    scopus 로고
    • Fish-SPRICH: a database of freshwater fish species richness throughout the World
    • Brosse, S. et al. 2013. Fish-SPRICH: a database of freshwater fish species richness throughout the World. – Hydrobiologia 700: 343–349.
    • (2013) Hydrobiologia , vol.700 , pp. 343-349
    • Brosse, S.1
  • 8
    • 84904327892 scopus 로고    scopus 로고
    • SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses
    • Brown, J. L. 2014. SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses. – Methods Ecol. Evol. 5: 694–700.
    • (2014) Methods Ecol. Evol , vol.5 , pp. 694-700
    • Brown, J.L.1
  • 9
    • 84925298937 scopus 로고    scopus 로고
    • Freshwater conservation planning under climate change: demonstrating proactive approaches for Australian Odonata
    • Bush, A. et al. 2014. Freshwater conservation planning under climate change: demonstrating proactive approaches for Australian Odonata. – J. Appl. Ecol. 51: 1273–1281.
    • (2014) J. Appl. Ecol , vol.51 , pp. 1273-1281
    • Bush, A.1
  • 10
    • 39749097317 scopus 로고    scopus 로고
    • A statistical method to downscale aggregated land use data and scenarios
    • Dendoncker, N. et al. 2006. A statistical method to downscale aggregated land use data and scenarios. – J. Land Use Sci. 1: 63–82.
    • (2006) J. Land Use Sci , vol.1 , pp. 63-82
    • Dendoncker, N.1
  • 11
    • 84875610884 scopus 로고    scopus 로고
    • Choice of study area and predictors affect habitat suitability projections, but not the performance of species distribution models of stream biota
    • Domisch, S. et al. 2013. Choice of study area and predictors affect habitat suitability projections, but not the performance of species distribution models of stream biota. – Ecol. Model. 257: 1–10.
    • (2013) Ecol. Model , vol.257 , pp. 1-10
    • Domisch, S.1
  • 12
    • 84924856421 scopus 로고    scopus 로고
    • Application of species distribution models in stream ecosystems: the challenges of spatial and temporal scale, environmental predictors and species occurrence data
    • Domisch, S. et al. 2015a. Application of species distribution models in stream ecosystems: the challenges of spatial and temporal scale, environmental predictors and species occurrence data. – Fundam. Appl. Limnol. 186: 45–61.
    • (2015) Fundam. Appl. Limnol , vol.186 , pp. 45-61
    • Domisch, S.1
  • 13
    • 84951061228 scopus 로고    scopus 로고
    • Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution
    • Domisch, S. et al. 2015b. Near-global freshwater-specific environmental variables for biodiversity analyses in 1 km resolution. – Sci. Data 2: 150073.
    • (2015) Sci. Data , vol.2 , pp. 150073
    • Domisch, S.1
  • 14
    • 84874725861 scopus 로고    scopus 로고
    • Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
    • Dormann, C. et al. 2013. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. – Ecography 36: 27–46.
    • (2013) Ecography , vol.36 , pp. 27-46
    • Dormann, C.1
  • 15
    • 35848930781 scopus 로고    scopus 로고
    • Methods to account for spatial autocorrelation in the analysis of species distributional data: a review
    • Dormann, C. F. et al. 2007. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. – Ecography 30: 609–628.
    • (2007) Ecography , vol.30 , pp. 609-628
    • Dormann, C.F.1
  • 16
    • 78649991963 scopus 로고    scopus 로고
    • A statistical explanation of MaxEnt for ecologists
    • Elith, J. et al. 2011. A statistical explanation of MaxEnt for ecologists. – Divers. Distrib. 17: 43–57.
    • (2011) Divers. Distrib , vol.17 , pp. 43-57
    • Elith, J.1
  • 17
    • 84874648164 scopus 로고    scopus 로고
    • – <, >, ver. 04/2013
    • Froese, R. and Pauly, D. 2011. FishBase. – < www.fishbase.org >, ver. 04/2013.
    • (2011) FishBase
    • Froese, R.1    Pauly, D.2
  • 18
    • 47249142538 scopus 로고    scopus 로고
    • Scaling regression inputs by dividing by two standard deviations
    • Gelman, A. 2008. Scaling regression inputs by dividing by two standard deviations. – Stat. Med. 27: 2865–2873.
    • (2008) Stat. Med , vol.27 , pp. 2865-2873
    • Gelman, A.1
  • 19
    • 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
  • 20
    • 11944258092 scopus 로고    scopus 로고
    • Assessing streams in Germany with benthic invertebrates: development of a practical standardised protocol for macro invertebrate sampling and sorting
    • Haase, P. et al. 2004. Assessing streams in Germany with benthic invertebrates: development of a practical standardised protocol for macro invertebrate sampling and sorting. – Limnologica 34: 349–365.
    • (2004) Limnologica , vol.34 , pp. 349-365
    • Haase, P.1
  • 22
    • 29544443445 scopus 로고    scopus 로고
    • Very high resolution interpolated climate surfaces for global land areas
    • Hijmans, R. J. et al. 2005. Very high resolution interpolated climate surfaces for global land areas. – Int. J. Climatol. 25: 1965–1978.
    • (2005) Int. J. Climatol , vol.25 , pp. 1965-1978
    • Hijmans, R.J.1
  • 24
    • 34548087566 scopus 로고    scopus 로고
    • Species richness, hotspots, and the scale dependence of range maps in ecology and conservation
    • Hurlbert, A. H. and Jetz, W. 2007. Species richness, hotspots, and the scale dependence of range maps in ecology and conservation. – Proc. Natl Acad. Sci. USA 104: 13384–13389.
    • (2007) Proc. Natl Acad. Sci. USA , vol.104 , pp. 13384-13389
    • Hurlbert, A.H.1    Jetz, W.2
  • 25
    • 84869842093 scopus 로고    scopus 로고
    • Modelling of riverine ecosystems by integrating models: conceptual approach, a case study and research agenda
    • Jähnig, S. et al. 2012. Modelling of riverine ecosystems by integrating models: conceptual approach, a case study and research agenda. – J. Biogeogr. 39: 2253–2263.
    • (2012) J. Biogeogr , vol.39 , pp. 2253-2263
    • Jähnig, S.1
  • 26
    • 84857189362 scopus 로고    scopus 로고
    • Integrating biodiversity distribution knowledge: toward a global map of life
    • Jetz, W. et al. 2012. Integrating biodiversity distribution knowledge: toward a global map of life. – Trends Ecol. Evol. 27: 151–159.
    • (2012) Trends Ecol. Evol , vol.27 , pp. 151-159
    • Jetz, W.1
  • 27
    • 84902333442 scopus 로고    scopus 로고
    • Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions
    • Keil, P. et al. 2014. Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions. – Divers. Distrib. 20: 797–812.
    • (2014) Divers. Distrib , vol.20 , pp. 797-812
    • Keil, P.1
  • 28
    • 84880506523 scopus 로고    scopus 로고
    • Analysing and mapping species range dynamics using occupancy models
    • Kéry, M. et al. 2013. Analysing and mapping species range dynamics using occupancy models. – J. Biogeogr. 40: 1463–1474.
    • (2013) J. Biogeogr , vol.40 , pp. 1463-1474
    • Kéry, M.1
  • 29
    • 84894102026 scopus 로고    scopus 로고
    • Integrating catchment properties in small scale species distribution models of stream macroinvertebrates
    • Kuemmerlen, M. et al. 2014. Integrating catchment properties in small scale species distribution models of stream macroinvertebrates. – Ecol. Model. 277: 77–86.
    • (2014) Ecol. Model , vol.277 , pp. 77-86
    • Kuemmerlen, M.1
  • 30
    • 77954836576 scopus 로고    scopus 로고
    • The intergovernmental science-policy platform on biodiversity and ecosystem services: moving a step closer to an IPCC-like mechanism for biodiversity
    • Larigauderie, A. and Mooney, H. A. 2010. The intergovernmental science-policy platform on biodiversity and ecosystem services: moving a step closer to an IPCC-like mechanism for biodiversity. – Curr. Opin. Environ. Sustain. 2: 9–14.
    • (2010) Curr. Opin. Environ. Sustain , vol.2 , pp. 9-14
    • Larigauderie, A.1    Mooney, H.A.2
  • 31
    • 33645097847 scopus 로고    scopus 로고
    • Building statistical models to analyze species distributions
    • Latimer, A. M. et al. 2006. Building statistical models to analyze species distributions. – Ecol. Appl. 16: 33–50.
    • (2006) Ecol. Appl , vol.16 , pp. 33-50
    • Latimer, A.M.1
  • 32
    • 0027881344 scopus 로고
    • Spatial autocorrelation – trouble or new paradigm
    • Legendre, P. 1993. Spatial autocorrelation – trouble or new paradigm. – Ecology 74: 1659–1673.
    • (1993) Ecology , vol.74 , pp. 1659-1673
    • Legendre, P.1
  • 33
    • 3242680641 scopus 로고    scopus 로고
    • Development and validation of a global database of lakes, reservoirs and wetlands
    • Lehner, B. and Döll, P. 2004. Development and validation of a global database of lakes, reservoirs and wetlands. – J. Hydrol. 296: 1–22.
    • (2004) J. Hydrol , vol.296 , pp. 1-22
    • Lehner, B.1    Döll, P.2
  • 34
    • 42049104077 scopus 로고    scopus 로고
    • New global hydrography derived from spaceborne elevation data
    • Lehner, B. et al. 2008. New global hydrography derived from spaceborne elevation data. – Eos Trans. AGU 89: 93–94.
    • (2008) Eos Trans. AGU , vol.89 , pp. 93-94
    • Lehner, B.1
  • 35
    • 38149113543 scopus 로고    scopus 로고
    • Global diversity of fish (Pisces) in freshwater
    • Lévêque, C. et al. 2008. Global diversity of fish (Pisces) in freshwater. – Hydrobiologia 595: 545–567.
    • (2008) Hydrobiologia , vol.595 , pp. 545-567
    • Lévêque, C.1
  • 36
    • 0036707171 scopus 로고    scopus 로고
    • Spatial autocorrelation and autoregressive models in ecology
    • Lichstein, J. et al. 2002. Spatial autocorrelation and autoregressive models in ecology. – Ecol. Monogr. 72: 445–463.
    • (2002) Ecol. Monogr , vol.72 , pp. 445-463
    • Lichstein, J.1
  • 37
    • 77953929268 scopus 로고    scopus 로고
    • The uncertain nature of absences and their importance in species distribution modelling
    • Lobo, J. M. et al. 2010. The uncertain nature of absences and their importance in species distribution modelling. – Ecography 33: 103–114.
    • (2010) Ecography , vol.33 , pp. 103-114
    • Lobo, J.M.1
  • 38
    • 84863653617 scopus 로고    scopus 로고
    • Where are all the fish: potential of biogeographical maps to project current and future distribution patterns of freshwater species
    • Markovic, D. et al. 2012. Where are all the fish: potential of biogeographical maps to project current and future distribution patterns of freshwater species. – PLoS One 7: e40530.
    • (2012) PLoS One , vol.7
    • Markovic, D.1
  • 39
    • 0030714706 scopus 로고    scopus 로고
    • Is there an influence of historical events on contemporary fish species richness in rivers? Comparisons between western Europe and North America
    • Oberdorff, T. et al. 1997. Is there an influence of historical events on contemporary fish species richness in rivers? Comparisons between western Europe and North America. – J. Biogeogr. 24: 461–467.
    • (1997) J. Biogeogr , vol.24 , pp. 461-467
    • Oberdorff, T.1
  • 40
    • 0037341568 scopus 로고    scopus 로고
    • Redundancy and the choice of hydrologic indices for characterizing streamflow regimes
    • Olden, J. D. and Poff, N. L. 2003. Redundancy and the choice of hydrologic indices for characterizing streamflow regimes. – River Res. Appl. 19: 101–121.
    • (2003) River Res. Appl , vol.19 , pp. 101-121
    • Olden, J.D.1    Poff, N.L.2
  • 41
    • 77953172651 scopus 로고    scopus 로고
    • Conservation biogeography of freshwater fishes: recent progress and future challenges
    • Olden, J. D. et al. 2010. Conservation biogeography of freshwater fishes: recent progress and future challenges. – Divers. Distrib. 16: 496–513.
    • (2010) Divers. Distrib , vol.16 , pp. 496-513
    • Olden, J.D.1
  • 43
    • 20644461492 scopus 로고    scopus 로고
    • Modelling occurrence and abundance of species when detection is imperfect
    • Royle, J. A. et al. 2005. Modelling occurrence and abundance of species when detection is imperfect. – Oikos 110: 353–359.
    • (2005) Oikos , vol.110 , pp. 353-359
    • Royle, J.A.1
  • 44
    • 84870360277 scopus 로고    scopus 로고
    • Continental-scale conservation prioritization of African dragonflies
    • Simaika, J. P. et al. 2013. Continental-scale conservation prioritization of African dragonflies. – Biol. Conserv. 157: 245–254.
    • (2013) Biol. Conserv , vol.157 , pp. 245-254
    • Simaika, J.P.1
  • 45
    • 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. – Ecol. Lett. 10: 1115–1123.
    • (2007) Ecol. Lett , vol.10 , pp. 1115-1123
    • Soberón, J.1
  • 46
    • 85031412416 scopus 로고    scopus 로고
    • Freshwater biodiversity conservation: recent progress and future challenges
    • Strayer, D. L. and Dudgeon, D. 2010. Freshwater biodiversity conservation: recent progress and future challenges. – J. N. Am. Benthol. Soc. 29: 344–358.
    • (2010) J. N. Am. Benthol. Soc , vol.29 , pp. 344-358
    • Strayer, D.L.1    Dudgeon, D.2
  • 47
    • 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
  • 48
    • 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
  • 49
    • 34250322230 scopus 로고    scopus 로고
    • A comparative evaluation of presence-only methods for modelling species distribution
    • Tsoar, A. et al. 2007. A comparative evaluation of presence-only methods for modelling species distribution. – Divers. Distrib. 13: 397–405.
    • (2007) Divers. Distrib , vol.13 , pp. 397-405
    • Tsoar, A.1


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