International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
5. REFERENCES 
Ask, P. and Nilsson, S.G. 2004. Stand characteristics in colour- 
infrared aerial photographs as indicators of epiphytic lichens. 
Biodiversity and Conservation 13(3): 529-542. 
Austin, M.P. and Gaywood, M.J. 1994. Current problems of 
environmental gradients and species response curves in relation 
to continuum theory. Journal of Vegetation Science 5: 473-482. 
Baatz, M. and Schäpe, A. 1999b: Object-Oriented and Multi- 
Scale Image Analysis in Semantic Networks. In: Proc. of the 
2nd International Symposium on Operationalization of Remote 
Sensing, Enschede, ITC, August 16-20, 1999. 
Chuvievo, E. 1999. Measuring changes in landscape pattern 
from satellite images: short-term effects of fire on spatial 
diversity. Int. J. Rem. Sens. 20: 2331-2346. 
Cousins, S.A.O. and Ihse, M. 1998. A methodological study for 
biotope and landscape mapping based on CIR aerial 
photographs. Landscape and Urban Planning 41: 183-192. 
Fielding, A.H. and Bell, J.F. 1997. A review of methods for the 
assessment of prediction errors in conservation presence — 
absence models. Environ. Conserv. 24: 38-49. 
Guisan, A. and Zimmermann, N.E. 2000. Predictive habitat 
distribution models in ecology. Ecol. Model. 135: 147-186. 
Guisan, A., Edwards, T.C. and Hastie, T. 2002. Generalized 
linear and generalized additive models in studies of species 
distributions: setting the scene. Ecol. Model. 157: 89-100. 
Jorgensen, S.E. 1997. Ecological modeling by “ecological 
modeling”. Ecol. Model. 100: 5-10. 
Kerr, J.T. and Ostrovsky, M. 2003. From space to species: 
ecological applications for remote sensing. TRENDS in Ecology 
& Evolution 18: 299-305. 
Leathwick, J.R., Whitehead, D. and McLeod, M. 1996. 
Predicting changes in the composition of New Zealand's 
indigenous forests in response to global warming: a modeling 
approach. Environmental Software 11: 81-90. 
McCullagh, P. and Nelder, J.A. 1989. Generalized linear 
models. Chapman and Hall, London, 511. 
Nagendra, H. 2001. Using remote sensing to assess 
biodiversity. Int. J. Rem. Sens. 22: 2377-2400. 
Nagendra, H. and Gadgil, M. 1999. Satellite imagery as a tool 
for monitoring species diversity: an assessment. Journal of 
Applied Ecology 36: 388-397. 
Nimis, P.L., Scheidegger, Ch. and Wolseley, P.A. (eds.) 2002. 
Monitoring with Lichens — Monitoring Lichens. Dordrecht, 
Boston, London, Kluwer Academic, 408. 
Nordberg, M.L. and Allard, A. 2002. À remote sensing 
methodology for monitoring lichen cover. Can. J. Remote 
Sensing 28: 262-274. 
Noss, R.F. and Cooperrider, A.Y. 1994. Managing Forest. In: 
R.F. Noss and A.Y. Cooperrider (eds.). Saving Nature's Legacy. 
Protecting and restoring biodiversity, Island Press, Washington, 
D.C., pp 298-324. 
Palmer, M.W. 1995. How should one count species? Natural 
Areas Journal 15: 124-135. 
Scheidegger, C. and Goward, T. 2002. Monitoring Lichens for 
Conservation: Red Lists and Conservation Action Plans. — In: 
Nimis, P.L.; Scheidegger, C.; Wolseley, P.A. (eds.) Monitoring 
with Lichens — Monitoring  Lichens. IV. Earth and 
Environmental Science. Dordrecht, Boston, London, Kluwer 
Academic, pp 163-181. 
Schloeder, C.A., Zimmermann, N.E. and Jacobs, M.J. 2001. 
Comparison of Methods for Interpolating Soil Properties Using 
Limited Data. Soil Science Society of America Journal 65: 470- 
479. 
Townshend, J., Justice, C., Li, W., Gurney, C. and McManus, J. 
1991. Global land cover classification by remote sensing - 
Present capabilities and future possibilities, Remote Sens. 
Environ. 35: 253-255. 
Turner, W., Spector, S., Gardiner, N., Fladeland, M., Sterling, 
E. and Steininger, M. 2003. Remote sensing for biodiversity 
science and conservation. TRENDS in Ecology and Evolution 
18: 306-314. 
Wohlgemuth, T. 1998. Modeling floristic species richness on a 
regional scale: a case study in Switzerland. Biodiversity and 
Conservation 7: 159-177. 
Yee, T.W. and Mackenzie, M. 2002. Vector generalized 
additive models in plant ecology. Ecol. Model. 157: 141-156. 
6. ACKNOWLEDGEMENTS 
The study was carried out in the framework of the Biodiversity 
Assessment Tools Project (EVK2-CT1999-00041) in the 
Energy, Environment and Sustainable Development Program of 
the European Union. We are grateful to Christian Ginzler, Ariel 
Bergamini and Niklaus Zimmermann for all their valuable help. 
We also thank Christine Keller, Urs Groner and Michael 
Dietrich for lichen sampling and determination. A special thank 
also goes to Allan Watt the BioAssess project coordinator. 
850 
the 
na 
Si 
bi 
ha 
rei 
ex 
no 
ac 
vo 
foi 
vo 
Ok 
in 
To 
rec 
for 
mo 
Fir 
shc 
*