Thirty years of analysing and modelling avian habitat relationships using satellite imagery data: A review

International Journal of Remote Sensing

Volumn 26, Issue 12, 2005, Pages 2631-2656

  Gottschalk, Thomas K ^a   Huettmann, F ^b   Ehlers, M ^c  

^a JUSTUS LIEBIG UNIVERSITY   (Germany)

^b UNIVERSITY OF ALASKA FAIRBANKS   (United States)

^c UNIVERSITY OF VECHTA   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONSERVATION; ECOSYSTEMS; ENVIRONMENTAL IMPACT; GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS; SATELLITES; VEGETATION;

HABITAT; MONITORING PROGRAMMES; ORNITHOLOGY; WILDLIFE;

REMOTE SENSING;

CONSERVATION MANAGEMENT; GIS; HABITAT MANAGEMENT; HABITAT TYPE; REMOTE SENSING; SATELLITE IMAGERY; WILDLIFE MANAGEMENT;

AVES;

EID: 22744446873     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160512331338041     Document Type: Review

References (173)

1. Aebischer, N.J. and Robertson, P.A., 1992, Practical aspects of compositional analysis as applied to pheasant habitat utilization. In Wildlife Telemetry: Remote Monitoring and Tracking of Animals, I.G. Priede and S.M. Swift (Eds), (New York: Ellis Horwood) pp. 285-293.
2. Aebischer, N.J. and Robertson, P.A., 1994, Testing for resource use and selection by marine birds: a comment. Journal of Field Ornithology, 65, pp. 210-213.
3. Andries, A.M., Gulinck, H. and Herremanns, M., 1994, Spatial modelling of the Barn Owl Tyto alba habitat using landscape characteristics derived from SPOT data. Ecography, 17, pp. 278-287.
4. Aspinall, R. and Veitch, N., 1993, Habitat mapping from satellite imagery and wildlife survey data using a Bayesian modelling procedure in a GIS. Photogrammetric Engineering and Remote Sensing, 59, pp. 537-543.
5. Austin, G.E., Thomas, C.J., Houston, D.C. and Thompson, D.B.A., 1996, Predicting the spatial distribution of buzzard Buteo buteo nesting areas using a Geographical Information System and remote sensing. Journal of Applied Ecology, 33, pp. 1541-1550.
6. Avery, M.I. and Haines-Young, R.H., 1990, Population estimates for the dunlin Calidris alpina derived from remotely sensed satellite imagery of the Flow Country of northern Scotland. Nature, 344, pp. 860-862.
7. Baillie, S.R., 1991, Monitoring terrestrial breeding bird populations. In Monitoring for Conservation and Ecology, B. Goldsmith (Ed.) (London: Chapman & Hall), pp. 112-132.
8. Bajema, R.A. and Lima, S.L., 2001, Landscape-level analyses of Henslow's Sparrow (Ammodramus henslowii) abundance in reclaimed coal mine grasslands. American Midland Naturalist, 145, pp. 288-298.
9. Bani, L., Marco, B., Luciana, B. and Renato, M., 2002, The use of focal species in designing a habitat network for a lowland area of Lombardy, Italy. Conservation Biology, 16, pp. 826-831.
10. Berberoglu, S., Yilmaz, K.T. and Ozkan, C., 2004, Mapping and monitoring of coastal wetlands of Cukurova Delta in the Eastern Mediterranean region. Biodiversity and Conservation, 13, pp. 615-633.
11. Berry, M.E., Bock, C.E. and Hair, S.L., 1998, Abundance of diurnal raptors on open space grasslands in an urbanized landscape. Condor, 100, pp. 601-608.
12. Berthold, P., van den Bossche, W., Fiedler, W., Kaatz, C., Kaatz, M., Leshem, Y., Nowak, E. and Querner, U., 2001, Detection of a new important staging and wintering area of the White Stork Ciconia ciconia by satellite tracking. Ibis, 143, pp. 450-455.
13. Bibby, C.J., Collar, N.J., Crosby, M.J., Heath, M.F., Imboden, C., Johnson, T.H., Long, A.J., Stattersfield, A.J. and Thirgood, S.J., 1992, Putting Biodiversity on the Map, International Council for Bird Preservation, Cambridge.
14. Bibby, C.J., Jones, M. and Marsden, S., 1998, Expedition Field Techniques, Bird Surveys. Expedition Advisory Centre, Royal Geographical Society, London.
15. Bibby, C.J., Burgess, N.D., Hill, D.A. and Mustoe, S., 2000, Bird Census Techniques, 2nd edn (London: Academic Press).
16. BirdLife International 2000, Threatened Birds of the World (Barcelona and Cambridge: Lynx Edicions and BirdLife International).
17. Block, W.M. and Brennan, L.A., 1993, The habitat concept in ornithology: theory and applications. Current Ornithology, 11, pp. 35-91.
18. Borboroglu, P.G., Yorio, P., Boersma, P.D., Valle, H.D. and Bertellotti, M., 2002, Habitat use and breeding distribution of Magellanic Penguins in the northern San Jorge Gulf, Patagonia, Argentina. Auk, 119, pp. 233-239.
19. Boyce, M.S. and McDonald, L.L., 1999, Relating populations to habitats using resource selection functions. Trends in Ecology and Evolution, 14, pp. 268-272.
20. Briggs, K.T., Dettman, K.F., Lewis, D.B. and Tyler, W.B., 1984, Phalarope feeding in relation to autumn upwelling off California. In Marine Birds: Their Feeding Ecology and Commercial Fisheries Relationships, D.N. Nettleship, G.A. Sanger and P.F. Springer (Eds), pp. 51-62 (Ottawa: Canadian Wildlife Service).
21. Briggs, K.T., Tyler, W.B., Lewis, D.B. and Carlson, D.R., 1987, Bird communities at sea off California: 1975 to 1983. Studies in Avian Biology, 11, pp. 1-74.
22. Brooks, T., Balmford, A., Burgess, N., Hansen, L.A., Moore, J., Rahbek, C., Williams, P., Bennun, L.A., Byaruhanga, A., Kasoma, P., Njoroge, P., Pomeroy, D. and Wondafrash, M., 2001, Conservation priorities for birds and biodiversity: do East African Important Bird Areas represent species diversity in other terrestrial vertebrate groups? Ostrich, (Suppl.), 15, pp. 3-12.
23. Buckland, S.T., Anderson, D.R., Burnham, K.P. and Laake, J.T., 1993, Distance Sampling: Estimating Abundance of Biological Populations (London: Chapman & Hall).
24. Burke, D.M. and Nol, E., 2000, Landscape and fragment size effects on reproductive success of forest-breeding birds in Ontario. Ecological Applications, 10, pp. 1749-1761.
25. Bustamante, J. and Seoane, J., 2004, Predicting the distribution of four species of raptors (Aves: Accipitridae) in southern Spain: statistical models work better than existing maps. Journal of Biogeography, 31, pp. 295-306.
26. Cannon, R.W., Knopf, F.L. and Pettinger, L.R., 1982, Use of Landsat data to evaluate Lesser Prairie-Chicken habitats in western Oklahoma. Journal of Wildlife Management, 46, pp. 915-922.
27. Cary, D.L., Cook, E.A. and Barney, T.W., 1983, Interpretation of pheasant habitat using satellite imagery. Perdix, 3, pp. 148-157.
28. Clark, D.B., Read, J.M., Clark, M., Murillo Cruz, A., Fallas Dotti, M. and Clark, D.A., 2004, Application of 1-m and 4-m resolution satellite data to ecological studies of tropical rain forest. Ecological Applications, 14, pp. 61-74.
29. Cully, J.F. and Winter, S.L., 2000, Evaluation of land condition trend analysis for birds on a Kansas military training site. Environmental Management, 25, pp. 625-633.
30. Curnutt, L.J., Comiskey, J., Nott, M.P. and Gross, L.J., 2000, Landscape-based spatially explicit species index models for Everglades restoration. Ecological Applications, 10, pp. 1840-1860.
31. Daily, G.C., Ehrlich, P.R. and Sanchez-Azofeifa, G.A., 2001, Countryside biogeography: use of human-dominated habitats by the avifauna of southern Costa Rica. Ecological Applications, 11, pp. 1-13.
32. Debinski, D.M. and Humphrey, P.S., 1997, An integrated approach to biological diversity assessment. Natural Areas Journal, 17, pp. 355-365.
33. Debinski, D.M., Kindscher, K. and Jakubauskas, M.E., 1999, A remote sensing and GIS-based model of habitats and biodiversity in the Greater Yellowstone Ecosystem. International Journal of Remote Sensing, 20, pp. 3281-3291.
34. Debinski, D.M., Jakubauskas, M.E. and Kindscher, K., 2000, Montane Meadows as indicators of environmental change. Environmental Monitoring and Assessment, 64, pp. 213-225.
35. Debinski, D.M., Jakubauskas, M.E., Kindscher, K., Saveraid, E.H. and Borgognone, M.G., 2002, Predicting meadow communities and species occurences in the Greater Yellowstone Ecosystem. In Predicting Species Occurence Issues of Accuracy and Scale, J.M. Scott, P.J. Heglund and M.L. Morrison (Eds) (Washington, DC: Island Press), pp. 499-506.
36. Dettmers, R. and Bart, J., 1999, A GIS modelling method applied to predicting forest songbird habitat. Ecological Applications, 9, pp. 152-163.
37. Donovan, T.M., Jones, P.W., Annand, E.M. and Thompson, F.R., 1997, Variation in local-scale edge effects: mechanisms and landscape context. Ecology, 78, pp. 2064-2075.
38. Ehlers, M., 2004, Remote sensing for GIS applications: new sensors and analysis methods. In Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, Proceedings of SPIE Vol. 5239, M. Ehlers, H.J. Kaufmann and U. Michel (Eds), pp. 1-13 (Bellingham, WA: The International Society for Optical Engineering).
39. Farnsworth, G.L., Pollock, K.H., Nichols, J.D., Simons, T.R., Hines, J.E. and Sauer, J.R., 2002, A removal model for estimating detection probabilities from point count surveys. Auk, 119, pp. 414-425.
40. Fauth, P.T., Gustafson, E.J. and Rabenold, K.N., 2000, Using landscape metrics to model source habitat for Neotropical migrants in the midwestern U.S. Landscape Ecology, 15, pp. 621-631.
41. Fearer, T.M. and Stauffer, D.F., 2003, Relationship of Ruffed Grouse (Bonasa umbellus) home range size to landscape characteristics. American Midland Naturalist, 150, pp. 104-114.
42. Fielding, A.H. and Bell, J.F., 1997, A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, pp. 38-49.
43. Fortin, M.-J., Olson, R.J., Ferson, S., Iverson, L., Hunsacker, C., Edwards, C., Levine, D., Botera, K. and Clemas, W.V., 2000, Issues related to the detection of boundaries. Landscape Ecology, 15, pp. 453-466.
44. Fujita, G., Hong-Liang, G., Ueta, M., Goroshko, O., Krever, V., Ozaki, K., Mita, N. and Higuchi, H., 2004, Comparing areas of suitable habitats along travelled and possible shortest routes in migration of White-naped Cranes Grus vipio in East Asia. Ibis, 146, pp. 461-474.
45. Fuller, R.M., Groom, G.B., Mugisha, S. Ipulet, P., Pomeroy, D., Katende, A., Bailey, R. and Ogutu-Ohwayo, R., 1998, The integration of field survey and remote sensing for biodiversity assessment: a case study in the tropical forests and wetlands of Sango Bay, Uganda. Biological Conservation, 86, pp. 379-391.
46. Furness, R.W. and Greenwood, J.J.D., 1993, Birds As Monitors of Environmental Change, (Eds), (London: Chapman & Hall), 368 pp.
47. Furness, R.W., Greenwood, J.J.D. and Jarvais, P.J., 1993, Can birds be used to monitor the environment? In Birds As Monitors of Environmental Change, R.W. Furness and J.J.D. Greenwood (Eds), pp. 1-41 (London: Chapman & Hall).
48. Garshelis, D.L., 2000, Delusions in habitat evaluation: measuring use, selection, and importance. In Research Techniques in Animal Ecology, L. Boitani and T.K. Fuller (Eds) (New York: Columbia University Press), pp. 111-164.
49. Ginati, A., Lehmann, G. and Schulz, U., 1995, New trends and capabilities of satellites for bird tracking and monitoring Israel Journal of Zoology, 41, pp. 253-259.
50. Gottschalk, T.K., 2003, A remote sensing and GIS-based model of avian species habitat. In 30th International Symposium on Remote Sensing of Environment. Information for Risk Management and Sustainable Development, Honolulu, Hawaii (Tucson: ISRSE), pp. TS46.1.
51. Gratto-Trevor, C.L., 1996, Use of Landsat TM imagery in determining important shorebird habitat in the Outer Mackenzie Delta, Northwest territories. Arctic, 49, pp. 11-22.
52. Green, R.E. and Griffiths, G.H., 1994, Use of preferred nesting by Stone Curlews Burhinusoedicnemus in relation to vegetation structure. Journal of Zoology, 233, pp. 457-471.
53. Griffiths, G.H., Smith, J.M., Veitch, N. and Aspinall, R., 1993, The ecological interpretation of satellite imagery with special reference to bird habitats. In Landscape Ecology and Geographic Information Systems, R.H. Haines-Young and S.H. Cousins (Eds), pp. 255-272 (London: Taylor & Francis).
54. Grillmayer, R., 2000, Satellitenbildbasierte Analyse der Landschaftsstruktur für die Habitatbewertung des Steinkauzes. In Angewandte Geographische Informationsverarbeitung, XII J. Strobl, T. Blaschke, and G. Griesebner (Eds), pp. 202-209 (Heidelberg: Wichmann).
55. Groom, J.D. and Grubb, T.C., 2002, Bird species associated with riparian woodland in fragmented, temperate-deciduous forest. Conservation Biology, 16, pp. 832-836.
56. Guinet, C., Jouventin, P. and Malacamp, J., 1995, Satellite remote sensing in monitoring change of seabirds: use of SPOT image in king penguin population increase at Ile aux Cochons, Crozet Archipelago. Polar Biology, 15, pp. 511-515.
57. Gustafson, E.J., Parker, G.R. and Backs, S.E., 1994, Evaluating spatial pattern of wildlife habitat: a case study of the Wild Turkey (Meleagris gallopavo). American Midland Naturalist, 131, pp. 24-33.
58. H-Acevedo, D. and Currie, D.J., 2003, Does climate determine broad-scale patterns of species richness? A test of the causal link by natural experiment. Global Ecology and Biogeography, 12, pp. 461-473.
59. Haire, S.L., Bock, C.E., Cade, B.S. and Bennett, B.C., 2000, The role of landscape and habitat characteristics in limiting abundance of grassland nesting songbirds in an urban open space. Landscape and Urban Planning, 48, pp. 65-82.
60. Haney, J.C., 1985, Wintering Phalaropes off the south-eastern United States: application of remote sensing imagery to seabird habitat analysis at oceanic fronts. Journal of Field Ornithology, 56, pp. 321-333.
61. Haney, J.C., 1986, Remote sensing of seabird environments. American Birds, 40, pp. 396-400.
62. Haney, J.C., 1989a, Remote characterization of marine bird habitats with satellite imagery. Colonial Waterbirds, 12, pp. 67-77.
63. Haney, J.C., 1989b, Iterative techniques for characterizing marine bird habitats with time-series of satellite images. Colonial Waterbirds, 12, pp. 78-89.
64. Haney, J.C. and McGillivary, P.A., 1985a, Midshelf fronts in the South Atlantic Bight and their influence on seabird distribution and seasonal abundance. Biological Oceanography, 3, pp. 401-430.
65. Haney, J.C. and McGillivary, P.A., 1985b, Aggregations of Cory's Shearwaters (Calonectris diomedea) at Gulf Stream fronts. Wilson Bulletin, 97, pp. 191-200.
66. Hansen, M.J., Franklin, S.E., Woudsma, C.G. and Peterson, M., 2001, Caribou habitat mapping and fragmentation analysis using Landsat MSS, TM, and GIS data in the North Columbia Mountains, British Columbia, Canada. Remote Sensing of Environment, 77, pp. 50-65.
67. Hashmi, D., Ristow, D., Berthold, P. and Querner, U., 2001, Day night variation in spatial activity of wintering Cory's Shearwaters Calonectris diomedea recorded by satellite tracking. Vogelwelt, 122, pp. 273-277.
68. Hatch, S.A., Meyers, P.M., Mulcahy, D.M. and Douglas, D.C., 2000, Seasonal movements and pelagic habitat use of murres and puffins determined by satellite telemetry. Condor, 102, pp. 145-154.
69. Hawkins, B.A., 2004, Summer vegetation, deglaciation and the anomalous bird diversity gradient in eastern North America. Global Ecology and Biogeography, 13, pp. 321-325.
70. Hennings, L.A. and Edge, W.D., 2003, Riparian bird community structure in Portland, Oregon: habitat, urbanization, and spatial scale patterns. Condor, 105, pp. 288-302.
71. Hepinstall, J.A. and Sader, S.A., 1997, Using Bayesian Statistics, Thematic Mapper Satellite Imagery, and breeding bird survey data to model bird species probability of occurrence in Maine. Photogrammetric Engineering and Remote Sensing, 63, pp. 1231-1237.
72. Hepinstall, J.A., Krohn, W.B. and Sader, S.A., 2002, Effects of niche on the performance and agreement of avian habitat models. In Predicting Species Occurrence: Issues of Accuracy and Scale, J.M. Scott, P.J. Heglund and M.L. Morrison (Eds), pp. 593-606 (Washington, DC: Island Press).
73. Herr, A.M. and Queen, L.P., 1993, Crane habitat evaluation using GIS and remote sensing. Photogrammetric Engineering and Remote Sensing, 59, pp. 1531-1538.
74. Hirzel, A.H., Hausser, J., Chessel, D. and Perrin, N., 2002, Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology, 83, pp. 2027-2036.
75. Hodgson, M., Jensen, J., Mackey, H. and Coulter, M., 1987, Remote sensing of wetland habitat: a Wood Stork example. Photogrammetric Engineering and Remote Sensing, 53, pp. 1075-1080.
76. Hodgson, M., Jensen, J., Mackey, H. and Coulter, M., 1988, Monitoring Wood Stork foraging habitat using remote sensing and Geographic Information Systems. Photogrammetric Engineering and Remote Sensing, 54, pp. 1601-1607.
77. Homer, C.G., Edwards, T.C., Ramsey, R.D. and Prince, K.P., 1993, Use of remote sensing methods in modelling sage grouse winter habitat. Journal of Wildlife Management, 57, pp. 78-84.
78. Howell, C.A., Latta, S.C., Donovan, T.M., Porneluzi, P.A., Parks, G.R. and Faaborg, J., 2000, Landscape effects mediate breeding bird abundance in midwestern forests. Landscape Ecology, 15, pp. 547-562.
79. Huettmann, F. and Diamond, A.W., 2001, Seabird colony locations and environmental determination of seabird distribution: a spatially explicit breeding seabird model for the Northwest Atlantic. Ecology Modelling, 14, pp. 261-298.
80. Hunsaker, C.T., Boroski, B.B. and Steger, G.N., 2002, Relations between canopy cover and the occurrence and productivity of California Spotted Owls. In Predicting Species Occurrence: Issues of Accuracy and Scale, M.L. Morrison (Ed.), pp. 687-700 (Washington, DC: Island Press).
81. IUCN 2000, IUCN Red List of threatened species, URL: http://www.redlist.org/.
82. Janssen, L.L.F. (Ed.), 2000, Principles of Remote Sensing, ITC Educational Textbook Series 2, ITC, Enschede, The Netherlands.
83. Jeganathan, P., Green, R.E., Norris, K., Vogiatzakis, I.N., Bartsch, A., Wotton, S.R., Bowden, C.G.R., Griffiths, G.H., Pain, D. and Rahmani, A.R., 2004, Modelling habitat selection and distribution of the critically endangered Jerdon's courser Rhinoptilus bitorquatus in scrub jungle: an application of a new tracking method. Journal of Applied Ecology, 41, pp. 224-237.
84. Jenkins, C.N., Powell, R.D., Bass, O.L. and Pimm, S.L., 2003a, Demonstrating the destruction of the habitat of the Cape Sable seaside sparrow. Animal Conservation, 6, pp. 29-38.
85. Jenkins, C.N., Powell, R.D., Bass, O.L. and Pimm, S.L., 2003b, Why sparrow distributions do not match model predictions. Animal Conservation, 6, pp. 39-46.
86. Jepsen, J.U., Eide, N.E., Prestrud, P. and Jacobsen, L.B., 2002, The importance of prey distribution in habitat use by arctic foxes (Alopex lagopus). Canadian Journal of Zoology, 80, pp. 418-429.
87. Johnson, D.D.P., Hay, S.I. and Rogers, D.J., 1998, Contemporary environmental correlates of endemic bird areas derived from meteorological satellite sensors. Proceedings of the Royal Society of London. Series B, 265, pp. 951-959.
88. Jones, J., 2001, Habitat selection studies in avian ecology: a critical review. Auk, 118, pp. 557-562.
89. Jones, K.B., Neale, A.C., Nash, M.S., Riitters, K.H., Wickham, J.D., O'Neill, R.V. and van Remortel, R.D., 2000, Landscape correlates of breeding bird richness across the United States Mid-Atlantic region. Environmental Monitoring and Assessment, 63, pp. 159-174.
90. Jones, K.B., Neale, A.C., Wade, T.G., Wickham, J.D., Cross, C.L., Edmunds, C.M., Loveland, T.R., Nash, M.S., Riitters, K.H. and Smith, E.R., 2001, The consequences of landscape change on ecological resources: an assessment of the United States mid-Atlantic region, 1973-1993. Ecosystem Health, 7, pp. 229-242.
91. Jørgensen, A.F. and Nøhr, H., 1996, The use of satellite images for mapping of landscape and biological diversity in the Sahel. International. Journal of Remote Sensing, 17, pp. 91-109.
92. Jouventin, P., Capdeville, D., Cuenot-Chaillet, F. and Boiteau, C., 1994, Exploitation of pelagic resources by a non-flying seabird: satellite tracking of the king penguin throughout the breeding cycle. Marine Ecology Progress Series, 106, pp. 11-19.
93. Justice, C.O. and Hiernaux, P.H.Y., 1986, Monitoring the grasslands of the Sahel using NOAA AVHRR data: Niger 1983. International. Journal of Remote Sensing, 7, pp. 1475-1497.
94. Kastdalen, L., Pedersen, H.C., Fjone, G. and Andreassen, H.P., 2003, Combining resource selection functions and distance sampling: an example with Willow Ptarmigan. In Proceedings of 1st International Conference on Resource Selection by Animals, Laramie, Wyoming, 13-15 January 2003 (Madison, WI: Omnipress), pp. 52-59.
95. Katibah, E.F. and Graves, W.C., 1978, Remote sensing-aided assessment of wildlife turkey habitat. Proceedings of the Annual William T. Pecora Memorial Symposium Held at Pecora IV, the Application of Remote Sensing Data to Wildlife Management, Souix Falls, 10-12 October 1978, pp. 78-81.
96. Kerr, J.T., Southwood, T.R.E. and Cihlar, J., 2001, Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada Proceedings of the National Academy of Sciences, USA, 98, pp. 11365-11370.
97. Klaus, S., Selsam, P., Sun, Y.-H. and Fang, Y., 2001, Habitat mapping from SPOT images as tool for the conservation of endangered species - Chinese Grouse Bonasa sewerzowi as an example. Naturschutz und Landschaftsplanung, 33, pp. 281-285.
98. Knick, S.T. and Rotenberry, J.T., 1995, Landscape characteristics of fragmented shrub steppe habitats and breeding passerine birds. Conservation Biology, 9, pp. 1059-1071.
99. Lauga, J. and Joachim, J., 1992, Modelling the effects of forest fragmentation on certain species of forest-breeding birds. Landscape Ecology, 6, pp. 183-193.
100. Lavers, C.P. and Haines-Young, R.H., 1996a, Using models of bird abundance to predict the impact of current land-use and conservation policies in the Flow Country of Caithness and Sutherland, Northern Scotland. Biological Conservation, 75, pp. 71-77.
101. Lavers, C.P. and Haines-Young, R.H., 1996b, The pattern of Dunlin Calidris alpina distribution and abundance in relation to habitat variation in the Flow Country of northern Scotland. Bird Study, 43, pp. 231-239.
102. Lavers, C.P. and Haines-Young, R.H., 1997, The use of satellite imagery to estimate Dunlin Calidirs alpina abundance in Caithness and Sutherland and in the Shetland Islands. Bird Study, 44, pp. 220-226.
103. Lavers, C.P., Haines-Young, R.H. and Avery, M.I., 1996, The habitat associations of Dunlin (Calidris alpina) in the Flow Country of northern Scotland and an improved model for predicting habitat quality. Journal of Applied Ecology, 33, pp. 279-290.
104. Lyon, J.G., 1983, Landsat-derived land-cover classifications for locating potential Kestrel nesting habitat. Photogrammetric Engineering and Remote Sensing, 43, pp. 245-250.
105. Lyon, J.G., Asce, A.M., Heinen, J.T., Mead, R.A. and Roller, N.E.G., 1987, Spatial data for modeling wildlife habitat. Journal of Surveying Engineering, 113, pp. 88-100.
106. Mack, E.L., Firbank, L.G., Bellamy, P.E., Hinsley, S.A. and Veitch, N., 1997, The comparison of remotely sensed and ground-based habitat area data using species-area models. Journal of Applied Ecology, 34, pp. 1222-1228.
107. Manly, B.F.J., McDonald, L.L., Thomas, D.L., McDonald, T.L. and Erickson, W.P., 2002, Resource Selection by Animals: Statistical Design and Analysis for Field Studies, 2nd edn (Dordrecht: Kluwer Academic).
108. Marcot, B.G., Raphael, M.G. and Berry, K.H., 1983, Monitoring wildlife habitat and validation of wildlife-habitat relationships models. Transactions of the North American Wildlife and Natural Resources Conference, 48, pp. 315-329.
109. Martinko, E.A., 1981, Monitoring agricultural growth in pronghorn antelope habitat. Proceedings Pecora 7 Memorial Symposium, Sioux Falls, South Dakota, pp. 210-216.
110. May, S.M., Naugle, D.E. and Higgins, K.F., 2002, Effects of land use on nongame wetland birds in Western South Dakota stock ponds, USA. Waterbirds, 25, pp. 51-55.
111. Mayer, A.L. and Cameron, G.N., 2003, Landscape characteristics, spatial extent, and breeding bird diversity in Ohio, USA, Diversity and Distributions, 9, pp. 297-311.
112. McGarigal, K. and Marks, B.J., 1994, FRAGSTATS - Spatial Pattern Analysis Program for Quantifying Landscape Structure, Version 2.0, Forest Science Department, Oregon State University, Corvallis.
113. Meyer, C.B., Miller, S.L. and Ralph, C.J., 2002, Multi-scale landscape and seascape patterns associated with Marbled Murrelet nesting areas on the U.S. west coast. Landscape Ecology, 17, pp. 95-115.
114. Mehner, H., Cutler, M., Fairbairn, D. and Thompson, G., 2004, Remote sensing of upland vegetation: the potential of high spatial resolution satellite sensors. Global Ecology and Biogeography, 13, pp. 359-369.
115. Miller, J.R. and Cale, P., 2000, Behavioral mechanisms and habitat use by birds in a fragmented agricultural landscape. Ecological Applications, 10, pp. 1732-1748.
116. Miller, K.V. and Conroy, M.J., 1990, Spot satellite imagery for mapping Kirtland's Warbler wintering habitat in the Bahamas. Wildlife Society Bulletin, 18, pp. 252-257.
117. Morrison, M.L., 1986, Birds populations as indicators of environmental change. Current Ornithology, 3, pp. 429-451.
118. Morrison, M.L., Marcot, B.G. and Mannan, R.W., 1992, Wildlife-habitat Relationships: Concepts and Applications (Madison, WI: University of Wisconsin Press).
119. Morrison, R.I.G., 1997, The use of remote sensing to evaluate shorebird habitats and populations on Prince Charles Island, Foxe Basin, Canada. Arctic, 50, pp. 55-75.
120. Mörtberg, U. and Wallentinus, H.-G., 2000, Red-listed forest bird species in an urban environment: assessment of green space corridors. Landscape and Urban Planning, 50, pp. 215-226.
121. Nagendra, H., 2001, Using remote sensing to assess biodiversity. International Journal of Remote Sensing, 22, pp. 2377-2400.
122. Neave, H.M., Cunningham, R.B., Norton, T.W. and Nix, H.A., 1996, Biological inventory for conservation evaluation III. Relationships between birds, vegetation and environmental attributes in southern Australia. Forest Ecology and Management, 85, pp. 197-218.
123. Nøhr, H. and Jørgensen, A.F., 1997, Mapping of biological diversity in Sahel by means of satellite image analyses and ornithological surveys. Biodiversity and Conservation, 6, pp. 545-566.
124. O'Connor, R.J., Jones, M.T., White, D., Hunsaker, C., Loveland, T., Jones, B. and Preston, E., 1996, Spatial partitioning of environmental correlates of avian biodiversity in the conterminous United States. Biodiversity Letters, 3, pp. 97-110.
125. O'neill, R.V., Hunsaker, C.T., Timmins, S.P., Jackson, B.L., Jones, K.B., Riitters, K.H. and Wickham, J.D., 1996, Scale problems in reporting landscape pattern at the regional scale. Landscape Ecology, 11, pp. 169-180.
126. Ormsby, J.P. and Lunetta, R.S., 1987, Whitetail deer food availability maps from thematic mapper data. Photogrammetric Engineering and Remote Sensing, 53, pp. 1081-1085.
127. Osborne, P.E., Alonso, J.C. and Bryant, R.G., 2001, Modelling landscape-scale habitat use using GIS and remote sensing: a case study with Great Bustards. Journal of Applied Ecology, 38, pp. 458-471.
128. Palmeirim, J.M., 1985, Using Landsat TM imagery and spatial modelling in automatic habitat evaluation and release site selection for the Ruffed Grouse (Galliformes: Tetraonidae). In Proceedings of the 19th International. Symposium on Remote Sensing of Environment, University of Michigan, Ann Arbor, MI, 2, pp. 729-738.
129. Palmeirim, J.M., 1988, Automatic mapping of avian species habitat using satellite imagery. Oikos, 52, pp. 59-68.
130. Pearce, C.M., 1991, Mapping muskox habitat in the Canadian high arctic with SPOT satellite data. Arctic, 44(suppl. 1), pp. 49-57.
131. Pearce, J.L. and Ferrier, S., 2000, Evaluating the predictive performance of habitat models developed using logistic regression. Ecology Modelling, 133, pp. 225-245.
132. Pearce, J.L., Cherry, K., Drielsma, M., Ferrier, S. and Whish, G., 2001, Incorporating expert opinion and fine-scale vegetation mapping into statistical models of faunal distribution. Journal of Applied Ecology, 38, pp. 412-424.
133. Pearlstine, L.G., Smith, S.E., Brandt, L.A., Allen, C.R., Kitchens, W.M. and Stenberg, J., 2002, Assessing state-wide biodiversity in the Florida Gap analysis project. Journal of Environmental Management, 66, pp. 127-144.
134. Pearman, P.B., 2002, The scale of community structure: habitat variation and avian guilds in tropical forest understory. Ecological Monographs, 72, pp. 19-39.
135. Pearson, S.M. and Simons, T.R., 2002, Spatial analysis of stopover habitats of neotropical migrant birds. In Predicting Species Occurrence: Issues of Accuracy and Scale, J.M. Scott, P.J. Heglund and M.L. Morrison (Eds), pp. 581-592 (Washington, DC: Island Press).
136. Pidgeon, A.M., Radeloff, V.C. and Mathews, N.E., 2003, Landscape-scale patterns of black-throated sparrow (Amphispiza bilineata) abundance and nest success. Ecological Applications, 13, pp. 530-542.
137. Pino, J., Roda, F., Ribas, J. and Pons, X., 2000, Landscape structure and bird species richness: implications for conservation in rural areas between natural parks. Landscape and Urban Planning, 49, pp. 35-48.
138. Priede, I.G., 1983, Use of satellites in marine biology. In Experimental Biology at Sea, A.G. McDonald and I.G. Priede (Eds), pp. 3-50 (London: Academic Press).
139. Ralph, C.J. and Scott, J.M., 1981, Estimating numbers of terrestrial birds. Studies in Avian Biology, No. 6.
140. Rees, W.G., 1990, Physical Principles of Remote Sensing (Cambridge: Cambridge University Press).
141. Reese, H., Nilsson, M., Sandstrom, P. and Olsson, H., 2002, Applications using estimates of forest parameters derived from satellite and forest inventory data. Computers and Electronics in Agriculture, 37, pp. 37-55.
142. Rodhouse, P.G., Prince, P.A., Trathan, P.N., Hatfield, E.M.C., Watkins, J.L., Bone, D.G., Murphy, E.J. and White, M.G., 1996, Cephalopods and mesoscale oceanography at the Antarctic Polar Front: satellite tracked predators locate pelagic trophic interactions. Marine Ecology Progress Series, 136, pp. 37-50.
143. Roseberry, J.L., Richards, B.J. and Hollenhorst, T.P., 1994, Assessing the potential impact of Conservation Reserve Program on Bobwhite habitat using remote sensing, GIS, and habitat modelling. Photogrammetric Engineering and Remote Sensing, 60, pp. 1139-1143.
144. Roseberry, J.L. and Sudkamp, S.D., 1998, Assessing the suitability of landscapes for Northern Bobwhite. Journal of Wildlife Management, 62, pp. 895-902.
145. Rosenstock, S.S., Anderson, D.R., Giesen, K.M., Leukering, T. and Carter, M.F., 2002, Landbird counting techniques: current practices and an alternative. Auk, 19, pp. 46-53.
146. Roshier, D.A., Robertson, A.I., Kingsford, R.T. and Green, D.G., 2001, Continental-scale interactions with temporary resources may explain the paradox of large populations of desert waterbirds in Australia. Landscape Ecology, 16, pp. 547-556.
147. Sader, S.A., Powell, G.V.N. and Rappole, J.H., 1991, Migratory bird habitat monitoring through remote sensing. International Journal of Remote Sensing, 12, pp. 363-372.
148. Saveraid, E.H., Debinski, D.M., Kindscher, K. and Jakubauskas, M.E., 2001, A comparison of satellite data and landscape variables in predicting bird species occurrences in the Greater Yellowstone Ecosystem, USA. Landscape Ecology, 16, pp. 71-83.
149. Saxon, E.C., 1983, Mapping the habitats of rare animals in the Tanami Wildlife Sanctuary (central Australia): An application of satellite imagery. Biological Conservation, 27, pp. 243-257.
150. Schneider, D., 1994, Quantitative Ecology, Spatial and Temporal Scaling (New York: Academic Press).
151. Schwaller, M.R., Benninghoff, W.S. and Olson, C.E., 1984, Prospects for satellite remote sensing of Adelie penguin rookeries. International Journal of Remote Sensing, 5, pp. 849-853.
152. Schwaller, M.R., Olson, C.E., Benninghoff, W.S. and Wehnes, K.M., 1986, Preliminary report on satellite remote sensing of adélie penguin rookeries. Antarctic Journal, 21, pp. 205-206.
153. Schwaller, M.R., Olson, C.E., Ma, Z., Zhiliang, Z. and Dahmer, P., 1989, A Remote sensing analysis of Adélie Penguin rookeries. Remote Sensing of Environment, 28, pp. 199-206.
154. Seoane, J., Bustamante, J. and Díaz-Delgado, R., 2004, Are existing vegetation maps adequate to predict bird distributions? Ecological Modelling, 175, pp. 137-149.
155. Shapiro, A.-M., Harper, S.J. and Westervelt, J., 2002, Modeling Cowbird occurrences and parasitism rates: statistical and individual-based approaches. In Predicting Species Occurrence: Issues of Accuracy and Scale, J.M. Scott, P.J. Heglund and M.L. Morrison (Eds), pp. 547-558 (Washington, DC: Island Press).
156. Shaw, D.M. and Atkinson, S.F., 1988, GIS applications for Golden-cheeked Warbler habitat description. Proceedings of the 1988 GIS/LIS conference, San Antonio, TX (Falls Church, VA: American Society for Photogrammetry and Remote Sensing), pp. 401-406.
157. Shriner, S.A., Simons, T.R. and Farnsworth, G.L., 2002, A GIS-based habitat model for Wood Thrush Hylocichla mustelina in Great Smoky Mountains National Park. In Predicting Species Occurrence: Issues of Accuracy and Scale, J.M. Scott, P.J. Heglund and M.L. Morrison (Eds), pp. 529-535 (Washington, DC: Island Press).
158. Steele, B.B., Bayn, R.L. and Grant, C.V., 1984, Environmental monitoring using populations of birds and small mammals: analyses of sampling effort. Biological Conservation, 30, pp. 157-172.
159. Stockwell, D.R.B. and Peters, D.P., 1999, The GARP modeling system: problems and solutions to automated spatial prediction. International Journal of Geographic Information Systems, 13, pp. 143-158.
160. Stoms, D.M., Davis, F.W. and Cogan, C.B., 1992, Sensitivity of wildlife habitat models to uncertainties in GIS data. Photogrammetric Engineering and Remote Sensing, 58, pp. 843-850.
161. Suarez-Seoane, S., Osborne, P.E. and Alonso, J.C., 2002, Large-scale habitat selection by agricultural steppe birds in Spain: identifying species-habitat responses using generalized additive models. Journal of Applied Ecology, 39, pp. 755-771.
162. Thibault, D., Chalifoux, S. and Laperle, M., 1998, Using satellite imagery as a planning tool for Harlequin duck inventory. International Journal of Remote Sensing, 19, pp. 5-9.
163. Tucker, K., Rushton, S.P., Sanderson, R.A., Martin, E.B. and Blaiklock, J., 1997, Modelling bird distributions - a combined GIS and Bayesian rule-based approach. Landscape Ecology, 12, pp. 77-93.
164. Vander Haegen, W.M., Dobler, F.C. and Pierce, D.J., 2000, Shrubsteppe bird response to habitat and landscape variables in eastern Washington, USA. Conservation Biology, 14, pp. 1145-1160.
165. Venier, L.A., Pearce, J., McKee, J.E., McKenney, D.W. and Niemi, G.J., 2004, Climate and satellite-derived land cover for predicting breeding bird distribution in the Great Lakes Basin. Journal of Biogeography, 31, pp. 315-331.
166. Verlinden, A. and Masogo, R., 1997, Satellite remote sensing of habitat suitability for ungulates and ostrich in the Kalahari in Botswana. Journal of Arid Environments, 35, pp. 563-574.
167. Wallin, D.O., Elliott, C.C.H., Shugart, H.H., Tucker, C.J. and Wilhelmi, F., 1992, Satellite remote sensing of breeding habitat for an African weaver-bird. Landscape Ecology, 7, pp. 87-99.
168. Warkentin, I.G., Greenberg, R. and Ortiz, J.S., 1995, Songbird use of gallery woodlands in recently cleared and older settled landscapes of the Selva Lacandona, Chiapas, Mexico. Conservation Biology, 9, pp. 1095-1106.
169. Watzke, H., Litzbarski, H., Oparina, O.S. and Oparin, M.L., 2001, The migration of Great Bustards Otis tarda from the Saratov region (Russia) - first results of a satellite tracking study. Vogelwelt, 122, pp. 89-94.
170. White, D., Minotti, P.G., Barczak, M.J., Sifneos, J.C., Freemark, K.E., Santelmann, M.V., Steinitz, C.F., Kiester, A.R. and Preston, E.M., 1997, Assessing risks to biodiversity from future landscape change. Conservation Biology, 11, pp. 349-360.
171. Yates, M.G., Goss-Custard, J.D. and Rispin, W.E., 1996, Towards predicting the effect of loss of intertidal feeding areas on overwintering shorebirds (Charadrii) and shelduck (Tadorna tadorna): refinements and tests of a model developed for the Wash, east England, Journal of Applied Ecology, 33, pp. 944-954.
172. Yen, P.P.W., Huettmann, F. and Cooke, F., 2004, A large-scale model for the at-sea distribution and abundance of Marbled Murrelets (Brachyramphus marmoratus) during the breeding season in coastal British Columbia, Canada. Ecological Modelling, 171, pp. 395-413.
173. Young, T.N., Eby, J.R., Allen, H.L., Hewitt, M.J. and Dixon, K.R., 1987, Wildlife habitat analysis using Landsat and radiotelemetry in a GIS with application to Spotted Owl preference for old growth. Proceedings of the 1987 GIS/LIS conference, San Francisco, CA (Falls Church, VA: American Society for Photogrammetry and Remote Sensing), pp. 595-600.