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Does matrix resistance influence Red squirrel (Sciurus vulgaris L. 1758) distribution in an urban landscape?

Verbeylen, Goedele, De Bruyn, Luc, Adriaensen, Frank, Matthysen, Erik·2003·Landscape Ecology
DOI 10.1023/b:land.0000014492.50765.05
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  • Several authors have alluded to the idea that artificial boundaries might influence the results of least cost path and landscape resistance models, but no one has directly addressed the issue.

    “Several authors have alluded to the idea that artificial boundaries might influence the results of least cost path and landscape resistance models [2], [11], [15]–[18], but to our knowledge, no one has directly addressed the issue.”

    From The effect of map boundary on estimates of landscape resistance to animal movement (2010) · cites this paper as [16]

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Research works printed but not linked: 53

  1. Adriaensen F., Chardon J.P., De Blust G., Swinnen E., Villalba S., Gulinck H. and Matthysen E. 2003. The application of ‘least-cost’ modelling as a functional landscape model. Landscape and Urban Planning 996: 1–15.
  2. Akaike H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19: 716–723. · DOI · Paper page
  3. Andrén H. 1994. Effects of habitat fragmentation on birds and mammals in landscapes with different proportions of suitable habitat: a review. Oikos 71: 355–366. · DOI
  4. Asferg T., Moller Nielsen S., Rosengaard M. and Bertelsen J. 1997. Presence/absence of red squirrels Sciurus vulgaris in Danish woodlots: demonstration of fragmentation effects. In: Proceedings of the 3rd European Squirrel Workshop, Bavaria, Germany. Säugetierkundliche Informationen 21.
  5. Bak A. and Lagendijk A. 1995. Ruimtegebruik van de rode eekhoorn, Sciurus vulgaris L., in een gefragmenteerd habitat. Undergraduate Thesis n° D951220, University of Utrecht, Utrecht, The Netherlands.
  6. Bélisle M. and St. Clair C.C. 2001. Cumulative effects of barriers on the movements of forest birds. Conservation Ecology (online) 5(2): art. 9. http://www.consecol.org/vol5/iss2/art9 · DOI
  7. Berggren Å., Carlson A. and Kindvall O. 2001. The effect of landscape composition on colonization success, growth rate and dispersal in introduced bush-crickets Metrioptera roeseli. Journal of Animal Ecology 70: 663–670. · DOI
  8. Bunn A.G., Urban D.L. and Keitt T.H. 2000. Landscape connectivity: A conservation application of graph theory. Journal of Environmental Management 59(4): 265–278. · DOI
  9. Celada C., Bogliani G., Gariboldi A. and Maracci A. 1994. Occupancy of isolated woodlots by the red squirrel Sciurus vulgaris L. in Italy. Biological Conservation 69: 177–183. · DOI
  10. Chardon J.P., Adriaensen F. and Matthysen E. 2003. Incorporating landscape elements into a connectivity measure: a case study for the Speckled wood butterfly (Pararge aegeria L.). Landscape Ecology 18: 561–573. · DOI
  11. Delin A. and Andrén H. 1999. Effects of habitat fragmentation on Eurasian red squirrel (Sciurus vulgaris) in a forest landscape. Landscape Ecology 14: 67–72. · DOI
  12. Dunning J.B.Jr., Danielson B.J., Noon B.R., Root T.L., Lamberson R.H., Stevens E.E. and Stewart D.J. 1995. Spatially explicit population models: current forms and future uses. Ecological Applications 5(1): 3–11. · DOI
  13. Ferreras P. 2001. Landscape structure and asymmetrical interpatch connectivity in a metapopulation of the endangered Iberian lynx. Biological Conservation 100: 125–136. · DOI
  14. Gonzales E.K. 2000. Distinguishing between modes of dispersal by introduced eastern grey squirrels (Sciurus carolinensis). Master's Thesis, University of Guelph, Guelph, Canada. http://www.uoguelph.ca/zoology/research/squirrel/thesisrev.pdf
  15. Graham C.H. 2001. Factors influencing movement patterns of Keel-billed Toucans in a fragmented tropical landscape in Southern Mexico. Conservation Biology 15(6): 1789–1798. · DOI
  16. Halpin P.N. and Bunn A.G. 2000. Using GIS to compute a least-cost distance matrix: a comparison of terrestrial and marine ecological applications. Proceedings of the Twentieth Annual ESRI User Conference, June 2000. http://www.esri.com/library/userconf/proc00/professional/papers/PAP890/p890.htm
  17. Hanski I. 1994. A practical model of metapopulation dynamics. Journal of Animal Ecology 63: 151–162. · DOI
  18. Harms W.B. and Opdam P. 1989. Woods as habitat patches for birds: application in landscape planning in the Netherlands. In: Zonneveld I.S. and Forman R.T.T. (eds), Changing landscapes: an ecological perspective, pp. 73-97. Springer-Verlag, New York, New York, USA.
  19. Harrison S. and Bruna E. 1999. Habitat fragmentation and large-scale conservation: what do we know for sure? Ecography 22: 225–232. · DOI
  20. Hastings A. 1996. Models of spatial spread: a synthesis. Biological Conservation 78(1-2): 143-148. · DOI
  21. IBGE-BIM 2001. Maps ‘Omtrek BHG’ and ‘Begroening — eilanden': URBIS 104, maps ‘Gebieden', ‘Zones ngi', ‘Gebieden en vijvers’ and ‘Kanaal’: Gegevensbank Groen Netwerk, 1998. Maps of the Brussels Institute for Environmental Management, DEV-AGR, Brussels, Belgium.
  22. Johnson A.R., Wiens J.A., Milne B.T. and Crist T.O. 1992. Animal movements and population dynamics in heterogeneous landschapes. Landscape Ecology 7: 63–75. · DOI
  23. Kareiva P.M. 1983. Local movement in herbivorous insects: applying a passive diffusion model to mark-recapture field experiments. Oecologia 57: 322–327. · DOI
  24. Matthysen E. 1999. Nuthatches (Sitta europaea: Aves) in forest fragments: demography of a patchy population. Oecologia 119: 501–509. · DOI
  25. Michels E., Cottenie K., Neys L., De Gelas K., Coppin P. and De Meester L. 2001. Geographical and genetic distances among zooplankton populations in a set of interconnected ponds: a plea for using GIS modelling of the effective geographical distance. Molecular Ecology 10: 1929–1938. · DOI
  26. Moilanen A. and Nieminen M. 2002. Simple connectivity measures in spatial ecology. Ecology 83: 1131–1145. · DOI · Paper page
  27. Nagelkerke N.J.D. 1991. A note on a general definition of the coefficient of determination. Biometrika 78: 691–692. · DOI
  28. NGI 1994. Topografische kaart van België, kaartbladen Wemmel 31/2 Noord, Anderlecht 31/2 Zuid, Brussel 31/3 Noord, Brussel 31/3 Zuid, Zaventem 31/4 Noord, Sint-Pieters-Woluwe 31/4 Zuid, Sint-Pieters-Leeuw 31/6 Noord, Ukkel 31/7 Noord, Linkebeek 31/7 Zuid, Tervuren 31/8 Noord (schaal 1:10000). Nationaal Geografisch Instituut, Belgium.
  29. Pickett S.T.A., Cadenasso M.L., Grove J.M., Nilon C.H., Pouyat R.V., Zipperer W.C. and Costanza R. 2001. Urban ecological systems: linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas. Ann. Rev. Ecol. Syst. 32: 127–157. · DOI
  30. Ricketts T.H. 2001. The matrix matters: effective isolation in fragmented landscapes. The American Naturalist 158: 87–99. · DOI
  31. Rodríguez A. and Andrén H. 1999. A comparison of Eurasian red squirrel distribution in different fragmented landscapes. Journal of Applied Ecology 36: 649–662. · DOI
  32. SAS 1989. SAS/STAT User's Guide, version 6, 4th edn., Vol. 1 and 2. SAS Institute, Cary, North Carolina, USA.
  33. Schippers P., Verboom J., Knaapen J.P. and van Apeldoorn R.C. 1996. Dispersal and habitat connectivity in complex heterogeneous landscapes: an analysis with a GIS-based random walk model. Ecography 19: 97–106. · DOI
  34. Sukopp H., Hejny S. and Kowarik I. 1990. Urban Ecology. Plants and plant communities in urban environments. SPB Academic Publishing bv, Den Haag, The Netherlands.
  35. Taylor P.D., Fahrig L., Henein K. and Merriam G. 1993. Connectivity is a vital element of landscape structure. Oikos 68: 571–573. · DOI · Paper page
  36. Tischendorf L. 1997. Modelling individual movements in heterogeneous landscapes: potentials of a new approach. Ecological Modelling 103: 33–42. · DOI
  37. Tischendorf L. and Fahrig L. 2000. On the use and measurement of landscape connectivity. Oikos 90: 7–19. · DOI
  38. Tittensor A.M. 1970. Red squirrel dreys. Notes from the Mammal Society No. 21: 528–533.
  39. Tscharntke T., Steffan-Dewenter I., Kruess A. and Thies C. 2002. Characteristics of insect populations on habitat fragments: a mini review. Ecological Research 17: 229–239. · DOI
  40. van Apeldoorn R.C., Celada C. and Nieuwenhuizen W. 1994. Distribution and dynamics of the red squirrel (Sciurus vulgaris L.) in a landscape with fragmented habitat. Landscape Ecology 9: 227–235. · DOI
  41. Verbeylen G., De Bruyn L. and Matthysen E. 2003. Patch occupancy, population density and dynamics in a fragmented red squirrel Sciurus vulgaris population. Ecography 26: 118–128. · DOI
  42. Villalba S., Gulinck H., Verbeylen G. and Matthysen E. 1998. Relationship between patch connectivity and the occurrence of the European red squirrel, Sciurus vulgaris, in forest fragments within heterogeneous landscapes. In: Dover J.W. and Bunce R.G.H. (eds), Key Concepts in Landscape Ecology, pp. 205-220. IALE, Preston, UK.
  43. Vos C.C., Antonisse-De Jong A.G., Goedhart P.W. and Smulders M.J.M. 2001a. Genetic similarity as a measure for connectivity between fragmented populations of the moor frog (Rana arvalis). Heredity 86: 598–608. · DOI
  44. Vos C.C., Verboom J., Opdam P.F.M. and Ter Braak C.J.F. 2001b. Towards ecologically scaled landscape indices. American Naturalist 157: 24–41. · DOI
  45. Walker R. and Craighead L. 1997. Analyzing wildlife movement corridors in Montana using GIS. In: Proceedings of the 1997 ESRI European User Conference, Copenhagen, Norway. ESRI, Redlands, California, USA. http://www.esri.com/library/userconf/proc97/proc97/to150/pap116/p116.htm
  46. Wauters L.A. and Dhondt A.A. 1988. The use of red squirrel (Sciurus vulgaris) dreys to estimate population density. Journal of Zoology 214: 179–187. · DOI
  47. Wauters L. and Dhondt A.A. 1990. Nest-use by red squirrels (Sciurus vulgaris Linnaeus, 1758). Mammalia 54: 377–389. · DOI
  48. Wauters L., Swinnen C. and Dhondt A.A. 1992. Activity budget and foraging behaviour of red squirrels (Sciurus vulgaris) in coniferous and deciduous habitats. Journal of Zoology 227: 71–86. · DOI
  49. Wauters L., Casale P. and Dhondt A.A. 1994. Space use and dispersal of red squirrels in fragmented habitats. Oikos 69: 140–146. · DOI
  50. Wauters L.A., Currado I., Mazzoglio P.J. and Gurnell J. 1997. Replacement of red squirrels by introduced grey squirrels in Italy: evidence from a distribution survey. In: Gurnell J. and Lurz P. (eds), The Conservation of Red Squirrels, Sciurus vulgaris L., pp. 79-88. People's Trust for Endangered Species, London, UK.
  51. Whitcomb R.F., Robbins C.S., Lynch J.F., Whitcomb B.L., Klimkiewicz M.K. and Bystrak D. 1981. Effects of forest fragmentation on avifauna of the eastern deciduous forest. In: Burgess R.L. and Sharpe D.M. (eds), Forest island dynamics in man-dominated landscapes, pp. 125-206. Springer-Verlag, Berlin, Germany. · DOI
  52. Xu J. and Lathrop R.G.J. 1995. Improving simulation accuracy of spread phenomena in a raster-based Geographic Information System. International Journal of Geographical Information Systems 9: 153–168. · DOI
  53. Zammit A.E. 1999. A Proposal for Identifying Wildlife Corridors Using Geographic Information Systems. University of Waterloo, Department of Geography, Waterloo, Ontario, Canada.

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Metadata

Authors
Verbeylen, G., De Bruyn, L., Adriaensen, F., & Matthysen, E.
Venue
Landscape Ecology
Publisher
Springer Science and Business Media LLC
Published
2003-12
Volume
18
Issue
8
Pages
791-805
ISSN
  • 0921-2973
  • 1572-9761
DOI
10.1023/b:land.0000014492.50765.05
Cited by
179
References
0
Language
en
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