The effects of damming on masu salmon and the Sakhalin taimen and the assessment of their conservation areas based on predictive habitat models. Ecol. Civil Eng. 8 (2), 233-244, 2006

Ecology and Civil Engineering

Volumn 8, Issue 2, 2006, Pages 233-244

  Fukushima, Michio ^a   Kameyama, Satoshi ^a  

^a NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

Author keywords

damming; gap analysis; masu salmon; predictive habitat models; Sakhalin taimen

Indexed keywords

EID: 33746305963     PISSN: 13443755     EISSN: 18825974     Source Type: Journal    
DOI: 10.3825/ece.8.233     Document Type: Article

References (33)

1. Augustin N.H., Mugglestone M.A. & Buckland S.T. (1996) An antologistic model for the spatial distribution of wildlife. Journal of Applied Ecology 33: 339-347.
2. Castella E. & others (2001) Macrobenthic invertebrate richness and composition along a latitudinal gradient of European glacier-fed streams. Freshwater Biology 46: 1811-1831.
3. De'ath G. (2002) Multivariate regression trees: a new technique for modeling species-environment relationships. Ecology 83: 1105-1117.
4. Edo K. (2000) The structure and dimensions of redd and egg pockets of the endangered salmonid, Sakhalin taimen. Journal of Fish Biology 56: 890-904.
5. Fernandez N., Delibes M., Palomares F. & Mladenoff D.J. (2003) Identifying breeding habitat for the Iberian lynx: inferences from a fine-scale spatial analysis. Ecological Applications 13: 1310-1324.
6. Fielding A.H. & Bell J.F. (1997) A review of methods for the assessment of prediction errors in conservation presence / absence models. Environmental Conservation 24: 38-49.
7. Filipe A.E., Marques T.A., Seabra S., Tiago P., Ribeiro E., Moreira Da Costa L., Cowx I.G., & Collares-Pereira M.J. (2004) Selection of priority areas for fish conservation in Guadiana River basin, Iberian Peninsula. Conservation Biology 18: 189-200.
8. Guisan A. & Zimmermann N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling 135: 147-186.
9. Gumpertz M.L., Graham J.M. & Ristaino J.B. (1997) Autologistic model of spatial pattern of Phytophthora epidemic in bell pepper: effects of soil variables on disease presence. Journal of Agricultural, Biological, and Environmental Statistics 2: 131-156.
10. Hastie T. & Tibshirani R. (1990) Generalized Additive Models. Chapman & Hall, London.
11. Holmquist J.G., Schmidt-Gengenbach J.M. & Yoshioka B.B. (1998) High dams and marine-freshwater linkages: effects on native and introduced fauna in the Caribbean. Conservation Biology 12: 621-630.
12. Joy M.K. & Death R.G. (2001) Control of freshwater fish and crayfish community structure in Taranaki, New Zealand: dams, diadromy or habitat structure? Freshwater Biology 46: 417-429.
13. Joy M.K. & Death R.G. (2002) Predictive modelling of freshwater fish as a biomonitoring tool in New Zealand. Freshwater Biology 47: 2261-2275.
14. Kameyama S., Fukushima M., Shimazaki S., Takada M. & Kaneko M. (2004) The watershed fragmentation by dams and its impacts on freshwater fishes, In: GIS - The Language of Geography ESRI Map Book Volume 19. (ed. Nancy Sappington), pp.89. ESRI Press, California.
15. Kato F. (1991) Life histories of masu and amago salmon (Oncorhynchus masou and Oncorhynchus rhodurus). In: Pacific Salmon Life Histories. (eds. C.Groot and L.Margolis), pp.447-520. UBC Press, Vancouver.
16. Knapp R.A. & Preisler H.K. (1999) Is it possible to predict habitat use by spawning salmonids? A test using California golden trout (Oncorhynchus mykiss aguabonita). Canadian Journal of Fisheries and Aquatic Sciences 56: 1576-1584.
17. Knapp R.A., Matthews K.R., Preisler H.K. & Jellison R. (2003) Developing probabilistic models to predict amphibian site occupancy in a patchy landscape. Ecological Applications 13: 1069-1082.
18. Legendre P. (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74: 1659-1673.
19. Legendre P. & Legendre L. (1998) Numerical Ecology Second English edition. Elsevier, Amsterdam.
20. Lek S., Delacoste M., Baran P., Dimopoulos I., Lauga J. & Aulagnier S. (1996) Application of neural networks to modelling nonlinear relationships in ecology. Ecological Modelling 90: 39-52.
21. Lichstein J.W., Simons T.R., Shriner S.A. & Franzreb K.E. (2002) Spatial autocorrelation and autoregressive models in ecology. Ecological Monographs 72: 445-463.
22. Lobo J.M. & Martin-Piera F. (2002) Searching for a predictive model for species richness of Iberian dung beetle based on spatial and environmental variables. Conservation Biology 16: 158-173.
23. Maekawa K., Koseki Y., Iguchi K. & Kitano S. (2001) Skewed reproductive success among male white-spotted charr landlocked by an erosion control dam: Implications for effective population size. Ecological Research 16: 727-735.
24. Manel S., Williams H.C. & Ormerod S.J. (2001) Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology 38: 921-931.
25. March J.G., Benstead J.P., Pringle C.M. & Scatena F.N. (2003) Damming tropical island streams: problems, solutions, and alternatives. BioScience 53: 1069-1078.
26. Morita K. & Yamamoto S. (2002) Effects of habitat fragmentation by damming on the persistence of stream-dwelling charr populations. Conservation Biology 16: 1318-1323.
27. Nicholls A.O. (1989) How to make biological surveys go further with generalized linear models. Biological Conservation 50: 51-75.
28. Oberdorff T., Pont D., Hugueny B. & Chessel D. (2001) A probabilistic model characterizing fish assemblages of French rivers: a framework for environmental assessment. Freshwater Biology 46: 399-415.
29. Olden J.D. & Jackson D.A. (2002) A comparison of statistical approaches for modelling fish species distributions. Freshwater Biology 47: 1976-1995.
30. Olden J.D., Jackson D.A. & Peres-Neto P.R. (2002) Predictive models of fish species distributions: A note on proper validation and chance predictions. Transactions of the American Fisheries Society 131: 329-336.
31. Pess G.R., Montgomery D.R., Steel E.A., Bilby R.E., Feist B.E. & Greenberg H.M. (2002) Landscape characteristics, land use, and coho salmon (Oncorhynchus kisutch) abundance, Snohomish River, Wash., U.S.A.Canadian Journal of Fisheries and Aquatic Sciences 59: 613-623.
32. Scott J.M., Davis F., Csuti B., Noss R., Butterfield B., Groves C., Anderson H., Caicco S., Derchia F., Edwards T.C., Ulliman J. & Wright R.G. (1993) Gap analysis - a geographic approach to protection of biological diversity. Wildlife Monographs 123: 1-41.
33. Tamate T. & Maekawa K. (2002) Individual growth and phase differentiation of lacustrine masu salmon, Oncorhynchus masou, under artificial rearing conditions. Ichthyological Research 49: 397-400.