Landscape Ecology

, Volume 21, Issue 4, pp 485–497

Identification of Landscape Elements Related to Local Declines of a Boreal Grey-sided Vole Population

  • Frauke Ecke
  • Pernilla Christensen
  • Per Sandström
  • Birger Hörnfeldt
Research Article


Several studies indicate a long-term decline in numbers of different species of voles in northern Fennoscandia. In boreal Sweden, the long-term decline is most pronounced in the grey-sided vole (Clethrionomys rufocanus). Altered forest landscape structure has been suggested as a possible cause of the decline. However, habitat responses of grey-sided voles at the landscape scale have never been studied. We analyzed such responses of this species in lowland forests in Västerbotten, northern Sweden. Cumulated spring densities representing 22 local time series from 1980–1999 were obtained by a landscape sampling design and were related to the surrounding landscape structure of 2.5×2.5 km plots centred on each of the 22 1-ha trapping plots. In accordance with general knowledge on local habitat preferences of grey-sided voles, our study supported the importance of habitat variables such as boulder fields and old-growth pine forest at the landscape scale. Densities were negatively related to clear cuts. Habitat associations were primarily those of landscape structure related to habitat fragmentation, distance between habitat patches and patch interspersion rather than habitat patch type quantity. Local densities of the grey-sided vole were positively and exponentially correlated with spatial contiguity (measured with the fragmentation index) of old-growth pine forest, indicating critical forest fragmentation thresholds. Our results indicate that altered land use might be involved in the long-term decline of the grey-sided vole in managed forest areas of Fennoscandia. We propose two further approaches to reveal and test responses of this species to changes in landscape structure.


1-ha sampling plot Clear cuts Fennoscandia Fragmentation GIS Landscape design Landscape structure Long-term decline Old-growth pine forest Remotely sensed data 


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  1. Aars, J., Ims, R.A. 2002Intrinsic and climatic determinants of population demography: the winter dynamics of tundra volesEcology8334493456CrossRefGoogle Scholar
  2. Andrén, H. 1992Corvid density and nest predation in relation to forest fragmentation: a landscape perspectiveEcology73794804CrossRefGoogle Scholar
  3. Andrén, H. 1994Effects of habitat fragmentation on birds and mammals in landscapes with different proportions of suitable habitat: a reviewOikos71355366Google Scholar
  4. Andrén, H. 1996Population responses to habitat fragmentation: statistical power and the random sample hypothesisOikos76235242Google Scholar
  5. Andrén, H. 1999Habitat fragmentation, the random sample hypothesis and critical thresholdsOikos84306308Google Scholar
  6. Bayne, E.M., Hobson, K.A. 1998The effects of habitat fragmentation by forestry and agriculture on the abundance of small mammals in the southern boreal mixedwood forestCan. J. Zool.766269CrossRefGoogle Scholar
  7. Bennett, A.F. 1990Habitat corridors and the conservation of small mammals in a fragmented forest environmentLandscape Ecol.4109122CrossRefGoogle Scholar
  8. Bjärvall, A., Ullström, S. 1995Däggdjur: Alla Europas ArterWahlström & WidstrandGöteborgGoogle Scholar
  9. Bowers, M.A., Matter, S.F., Dooley, J.L.,Jr., Dauten, J.L., Simkins, J.A. 1996Controlled experiments of habitat fragmentation: a simple computer simulation and a test using small mammalsOecologia108182191CrossRefGoogle Scholar
  10. Christensen, P., Hörnfeldt, B. 2003Long term decline of vole populations in northern Sweden: a test of the destructive sampling hypothesisJ. Mammal.8412921299CrossRefGoogle Scholar
  11. Collins, R.J., Barrett, G.W. 1997Effects of habitat fragmentation on meadow vole (Microtus pennsylvanicus) population dynamics in experiment landscape patchesLandscape Ecol.126376Google Scholar
  12. Debeljak, M., Dzeroski, S., Jerina, K., Kobler, A., Adamic, M. 2001Habitat suitability modelling for red deer (Cervus elaphus L.) in South-central Slovenia with classification treesEcol. Model.138321330CrossRefGoogle Scholar
  13. Environmental Systems Research Institute2002ArcGIS 82 ArcInfoCaliforniaRedlandsGoogle Scholar
  14. Fahrig, L., Jonsen, I. 1998Effect of habitat patch characteristics on abundance and diversity of insects in an agricultural landscapeEcosystems1197205CrossRefGoogle Scholar
  15. Forman, R.T. 1997Land Mosaics: The Ecology of Landscapes and RegionsCambridge University PressCambridgeGoogle Scholar
  16. Franco-Lopez, H., Ek, A.R., Bauer, M.E. 2001Estimation and mapping of forest stand density, volumeand cover type using the k-nearest neighbors methodRemote Sens. Environ.77251274CrossRefGoogle Scholar
  17. Gaines, M.S., Robinson, G.R., Diffendorfer, J.E., Holt, R.D., Johnson, M.L. 1992

    The effects of habitat fragmentation on small mammal populations

    McCullough, R.D.Barrett, R.H. eds. Wildlife 2001: PopulationsElsevier Applied ScienceLondon875885
    Google Scholar
  18. Hansen, T.F., Stenseth, N.C., Henttonen, H., Tast, J. 1999Interspecific and intraspecific competition as causes of direct and delayed density dependence in a fluctuating vole populationProc. Natl. Acad. Sci. USA96986991CrossRefPubMedGoogle Scholar
  19. Hanski, I., Henttonen, H. 1996Predation on competing rodent species: a simple explanation of complex patternsJ. Anim. Ecol.65220232Google Scholar
  20. Hanski, I. 1999Metapopulation EcologyOxford University PressOxfordGoogle Scholar
  21. Hansson L. 1974. Nya utbredningsuppgifter för gråsiding, med synpunkter på eventuell konkurrens med skogssork. Fauna och Flora 69: 91–94 (In Swedish with English summary).Google Scholar
  22. Hansson, L. 1977Landscape ecology and stability of populationsLandscape Plan.48593CrossRefGoogle Scholar
  23. Hansson, L. 1999Intraspecific variation in dynamics: small rodents between food and predation in changing landscapesOikos86159169Google Scholar
  24. Henttonen, H., Hansson, L., Saitoh, T. 1992Rodent dynamics and community structure: Clethrionomys rufocanus in northern Fennoscandia and HokkaidoAnn. Zool. Fenn.2916Google Scholar
  25. Henttonen H. 2000. Long-term dynamics of the bank vole Clethrionomys glareolus at Pallasjärvinorthern Finnish taiga. 48: In: Bujalska G. and Hansson L.(eds). Bank Vole Biology: Recent Advances in the Population Biology of a Model Species. Polish J. Ecol. 48: 87–96Google Scholar
  26. Hörnfeldt, B. 1978Syncronous population fluctuations in voles, small gameowls, and tularemia in nothern SwedenOecologia32141152CrossRefGoogle Scholar
  27. Hörnfeldt B. 1991. Cycles of voles, predators and alternative prey in boreal Sweden. Umeå University, Sweden Ph.D. Thesis, 24 pp. plus seven articles.Google Scholar
  28. Hörnfeldt, B. 1994Delayed density dependence as a determinant of vole cyclesEcology75791806CrossRefGoogle Scholar
  29. Hörnfeldt, B. 1995Long-term decline in numbers of cyclic voles in northern SwedenReport from the World Wildlife Fund WWF32124Google Scholar
  30. Hörnfeldt B. 1998. Miljöövervakningen visar på minskande sorkstammar. Fauna och Flora 93: 137–144 (In Swedish with English summary).Google Scholar
  31. Hörnfeldt, B. 2004Long-term decline in numbers of cyclic voles in boreal Sweden: analyses and presentation of hypothesesOikos107376392CrossRefGoogle Scholar
  32. Johannesen, E., Ims, R.A. 1996Modelling survival rates: habitat fragmentation and destruction in root vole experimental populationsEcology7711961209CrossRefGoogle Scholar
  33. Jongman, R.H.G., ter Braak, C.J.F., Tongeren, O.F.R. 1995Data Analysis in Community and Landscape EcologyCambridge University PressCambridgeGoogle Scholar
  34. Kalela, O. 1957Regulation of reproduction in subarctic populations of the vole Clethrionomys rufocanus (Sund.)Ann. Acad. Sci. Fenn. (A IV)34160Google Scholar
  35. Kaneko, Y., Nakata, K., Saitoh, T., Stenseth, N.C., Björnstad, O.N. 1998The biology of the vole Clethrionomys rufocanus: a reviewRes. Popul. Ecol.402137Google Scholar
  36. Levin, S.A. 1992The problem of pattern and scale in ecologyEcology7319431967CrossRefGoogle Scholar
  37. Loman, J. 1991Small mammal and raptor densities in habitat islands; area effects in a south Swedish agricultural landscapeLandscape Ecol.5183189CrossRefGoogle Scholar
  38. Luoto, M., Kuussaari, M., Toivonen, T. 2002Modelling butterfly distribution based on remote sensing dataJ. Biogeogr.2910271037CrossRefGoogle Scholar
  39. Löfgren, O. 1995Spatial organization of cyclic Clethrionomys females: occupancy of all available space at peak densities?Oikos722935Google Scholar
  40. McGarigal, K., Marks, B.J. 1995FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. General Technical Report PNW-GTR-351US Department of Agriculture Forest ServiceUSA122Google Scholar
  41. Miller, J., Franklin, J. 2002Modeling the distribution of four vegetation alliances using generalized linear models and classification trees with spatial dependenceEcol. Model.157227247CrossRefGoogle Scholar
  42. O’ Neill, R.V., DeAngelis, D.L., Waide, J.B., Allen, T.F.H. 1986A Hierarchical Concept of EcosystemsPrinceton University PressNew JerseyGoogle Scholar
  43. Östlund, L., Zackrisson, O., Axelsson, A.-L. 1997The history and transformation of a Scandinavian boreal forest landscape since the 19th centuryCan. J. For. Res.2711981206CrossRefGoogle Scholar
  44. Raab, B.Vedin, H. eds. 1995Sveriges National Atlas - Klimatsjöar och vattendragBokförlaget Bra BöckerHöganäsGoogle Scholar
  45. Reese, H., Nilsson, M., Sandström, P., Olsson, H. 2002Applications using estimates of forest parameters derived from satellite and forest inventory dataComput. Electron. Agr.373755CrossRefGoogle Scholar
  46. Reese, H., Nilsson, M., Granqvist Pahlén, T., Hagner, O., Joyce, S., Tingelöf, U., Egberth, M., Olsson, H. 2003Countrywide estimations of forest variables using satellite data and field data from the National Forest InventoryAmbio32542548PubMedGoogle Scholar
  47. Reunanen, P., Moenkkoenen, M., Hurme, E., Nikula, A., Nivala, V. 2002Predicting occupancy for the Siberian flying squirrel in old-growth forest patchesEcol. Appl.1211881198Google Scholar
  48. Sharma, S. 1996Applied Multivariate TechniquesJohn Wiley & SonsNew YorkGoogle Scholar
  49. Siivonen, L. 1968Nordeuropas däggdjurP.A. Nordstedt & Söners förlagStockholmGoogle Scholar
  50. StatSoft2002STATISTICA (data analysis software system) version 6.1Statsoft IncorporationTulsaGoogle Scholar
  51. Turner, M.G., O’ Neill, R.V., Gardner, R.H., Milne, B.T. 1989Effects of changing spatial scale on the analysis of landscape patternLandscape Ecol.334CrossRefGoogle Scholar
  52. Turner, M.G. 1990Spatial and temporal analysis of landscape patternsLandscape Ecol.42130Google Scholar
  53. Apeldoorn, R.C., Oostenbrink, W.T., Winden, A., Zee, F.F. 1992Effects of habitat fragmentation on the bank voleClethrionomys glareolusin an agricultural landscapeOikos65265274Google Scholar
  54. Wiens, J.A. 1989Spatial scaling in ecologyFunct. Ecol.3385397Google Scholar
  55. Wolff, J.O., Schauber, E.M., Edge, W.D. 1997Effects of habitat loss and fragmentation on the behavior and demography of gray-tailed volesConserv. Biol.11945956CrossRefGoogle Scholar
  56. Wu, J., Shen, W., Sun, W., Tueller, P.T. 2002Empirical patterns of the effects of changing scale on landscape metricsLandscape Ecol.17761782CrossRefGoogle Scholar
  57. Zar, J.H. 1996Biostatistical AnalysisPrentice-HallLondonGoogle Scholar

Copyright information

© Springer 2006

Authors and Affiliations

  • Frauke Ecke
    • 1
    • 2
  • Pernilla Christensen
    • 3
  • Per Sandström
    • 4
  • Birger Hörnfeldt
    • 3
  1. 1.Division of Applied GeologyLandscape Ecology Group Luleå University of TechnologyLuleåSweden
  2. 2.International Institute for Applied Systems AnalysisLaxenburgAustria
  3. 3.Department of Ecology and Environmental ScienceUmeå UniversityUmeåSweden
  4. 4.Department of Forest Resource Management and GeomaticsSwedish University of Agricultural SciencesUmeåSweden

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