Prediction of lichen diversity in an UNESCO biosphere reserve - Correlation of high resolution remote sensing data with field samples

Environmental Modeling and Assessment

Volumn 12, Issue 4, 2007, Pages 315-328

  Waser, Lars T ^a   Kuechler, Meinrad ^a   Schwarz, Markus ^a   Ivits, Eva ^b   Stofer, Silvia ^a   Scheidegger, Christoph ^a  

^a SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Biodiversity; Biosphere reserve; CIR orthoimages; Hotspot; Lichens; Linear regression models; Remote sensing

Indexed keywords

BIODIVERSITY; BIOSPHERICS; FORESTRY; FUNGI; LAND USE; REGRESSION ANALYSIS;

BIOSPHERE RESERVE; HOT SPOT; LICHENS; LINEAR REGRESSION MODELS; ORTHOIMAGES;

REMOTE SENSING;

AIRBORNE SENSING; CORRELATION; IMAGE RESOLUTION; LAND USE CHANGE; LICHEN; NATURE RESERVE; REGRESSION ANALYSIS; REMOTE SENSING; SPECIES DIVERSITY; SPECIES RICHNESS; UNESCO;

ALPS; PREALPS; SWITZERLAND;

EID: 35248819180     PISSN: 14202026     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10666-006-9066-2     Document Type: Article

References (48)

1. Agterberg, F. P. (1984). Trend surface analysis. In G. L. Gaile & C. J. Willmott (Eds.), Spatial statistic and models, (pp. 147-171). Dordrecht: Reidel.
2. Antoine, M. E., & McCune, B. (2004). Contrasting fundamental and realized ecological niches with epiphytic lichen transplants in an old-growth Pseudotsuga forest. Bryologist, 107, 163-173.
3. Ask, P., & Nilsson, S. G. (2004). Stand characteristics in color-infrared aerial photographs as indicators of epiphytic lichens. Biodiversity and Conservation, 13, 529-542.
4. Austin, M. P., & 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.
5. Baatz, M., & Schäpe, A. (2002). Object-oriented and multi-scale image analysis in semantic networks. In J. Strobl, T. Blaschke, & G. Griesebner (Eds.), Angewandte Geographische Informationsverarbeitung XII (pp. 12-23). Wichmann-Verlag: Heidelberg.
6. Barry, R. G. (1994). Past and potential future changes in mountain environments. In M. Beniston (Ed.), Mountain environments in changing climates (pp. 3-33). London: Routledge.
7. CIPRA, 2. (2001). Alpenreport - Daten, Fakten, Probleme, Lösungsansätze (434). Bern: Verlag Paul Haupt.
8. Cousins, S. A. O., & Ihse, M. (1998). A methodological study for biotope and landscape mapping based on CIR aerial photographs. Landscape and Urban Planning, 41, 183-192.
9. Dobson, A. J. (2002). An introduction to generalized linear models. Boca Raton: Chapman and Hall/CRC.
10. 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.
11. Gotway, J. C., Ferguson, R. B., Hergert, G. W., & Peterson, T. A. (1996). Comparison of kriging and inverse-distance methods for mapping soil parameters. Soil Science Society of America Journal, 60, 1237-1247.
12. Grabherr, G., Gottfried, M., & Pauli, P. (1994) Climate effects on mountain plants. Nature, 369, 448.
13. Green, P. J., & Silverman, B. W. (1994). Nonparametric regression and generalized linear models: A roughness penalty approach (p. 182). London: Chapman and Hall.
14. Guisan, A., Edwards, T. C., & Hastie, T. (2002). Generalized linear and generalized additive models in studies of species distributions: Setting the scene. Ecological Modelling, 157, 89-100.
15. Guisan, A., & Zimmermann, N. E. (2000). Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
16. Hastie, T. J., & Tibshirani, R. J. (1990). Generalized additive models. London: Chapman & Hall.
17. Hoffmann, A., & Van der Vegt, J. W. (2001). New sensor systems and new classification methods: Laser- and digital camera data meet object-oriented strategies, 6, Proceedings of GeoBIT/GIS.
18. Iverson, L. R., & Prasad, A. (1998). Estimating regional plant biodiversity with GIS planning. Diversity and Distribution, 4, 49-61.
19. Jørgensen, S. E. (1997). Ecological modeling by 'ecological modeling'. Ecological Modelling, 100, 5-10.
20. Kushida, K., Kim, Y., Tanaka, N., & Fukuda, M. (2004). Remote Sensing of net ecosystem productivity based on component spectrum and soil respiration observation in a boreal forest, interior Alaska. Journal of Geophysical Research (Atmosphere), 109, D6, DO6209.
21. Leathwick, J. R., Whitehead, D., & 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.
22. Lehmann, A., Overton, J. M., & Austin, M. P. (2002). Regression models for spatial prediction: Their role for biodiversity and conservation. Biodiversity and Conservation, 11, 2085-2092.
23. Maisch, M. (2001). The long-term signal of climate change in the Swiss Alps: Glacier retreat since the end of the Little Ice Age and future ice decay scenarios. Geografia Fisica e Dinamica Quaternaria, 23, 139-151.
24. Math Soft (1999). S-Plus 2000 professional release 1. Seattle, WA: Math Soft Inc.
25. McCullagh, P., & Nelder, J. A. (1989). Generalized linear models, (511). London: Chapman and Hall.
26. McCune, B., Berryman, S. D., Cissel, J. H., & Gitelman, A. I. (2003). Use of a smoother to forecast occurrence of epiphytic lichens under alternative forest management plans. Ecological Applications, 13, 1110-1123.
27. McCune, B., & Mefford, M. J. (2004). Nonparametric multiplicative habitat modeling, version 1. Gleneden Beach, OR, USA: MjM Software.
28. Nagendra, H., & Gadgil, M. (1999). Satellite imagery as a tool for monitoring species diversity: An assessment. Journal of Applied Ecology, 36, 388-397.
29. Nash, T. (1996). Lichen biology. Cambridge: Cambridge University Press.
30. Nimis, P. L., & Martellos, S. (2001). Testing the predictivity of ecological indicator values - a comparison of real and virtual relevés of lichen vegetation. Plant Ecology, 157, 165-172.
31. Nimis, P. L., Scheidegger, C., & Wolseley, P. A. (2002). In: Monitoring with Lichens - Monitoring Lichens. (408) The Netherlands, Dordrecht, Boston, London: Kluwer Academic Publishers.
32. Nordberg, M. L., & Allard, A. (2002). A remote sensing methodology for monitoring lichen cover. Canadian Journal of Remote Sensing, 28, 262-274.
33. Palmer, M. W. (1995). How should one count species? Natural Areas Journal, 15, 124-135.
34. Peterson, A. T., & Robins, C. R. (2003). Using ecological-niche modeling to predict barred owl invasions with implications for spotted owl conservation. Conservation Biology, 17, 1161-1165.
35. Peterson, A. T., Stockwell, D. R. B., & Kluza, D. A. (2002). In J. M. Scott, P. J. Heglund, & M. L. Morrison (Eds.), Predicting species occurrences: Issues of Scale and Accuracy (pp. 617-623). Washington, DC: Island Press.
36. Price, M. F., & Haslett, J. R. (1995). Climate change and mountain ecosystems, mountains at risk. In N. J. R. Allan (Ed.), Current issues in environmental studies (pp. 73-97). New Delhi: Manohar.
37. Rose, F. (1976). In D. H. Brown, D. L. Hawksworth, & R. H. Bailey (Eds.), Lichenology: Progress and problems (pp. 279-307). London: Academic Press.
38. Roy, P. S., & Tomar, S. (2000). Biodiversity characterization at landscape level using geospatial modeling technique. Biological Conservation, 95, 95-109.
39. Scheidegger, C., & Goward, T. (2002). In P. L. Nimis, C. Scheidegger, & P. A. Wolseley (Eds.), Monitoring with lichens - monitoring lichens. IV. Earth and Environmental Science (pp. 163-181). Dordrecht, The Netherlands: Kluwer Academic Publishers.
40. Scheidegger, C., Groner, U., Keller, C., & Stofer, S. (2002). In P. L. Nimis, C. Scheidegger, & P. A. Wolseley (Eds.), Monitoring with Lichens - Monitoring Lichens, IV. Earth and Environmental Science (pp. 359-365). Dordrecht, The Netherlands: Kluwer Academic Publishers.
41. Schloeder, C. A., Zimmermann, N. E., & Jacobs, M. J. (2001). Comparison of methods for interpolating soil properties using limited data. Soil Science Society of America Journal, 65, 470-479.
42. Scott, J. M., & Csuti, B. (1997). Gap Analysis for biodiversity survey and maintenance. In M. L. Reaka-Kudla, D. E. Wilson, & E. O. Wilson (Eds.), Biodiversity II: Understanding and protecting our biological resources (pp. 321-340). Washington, DC: Joseph Henry Press.
43. Scott, J. M., Heglund, P. J., Samson, F., Haufler, J., Morrison, M., Raphael M., et al. (2002). Predicted species occurrences: Issues of accuracy and scale. Covelo, CA: Island Press.
44. Tasser, E., & Tappeiner, U. (2002). The impact of land-use changes in time and space on vegetation distribution in mountain areas. Applied Vegetation Science, 5, 173-184.
45. Theurillat, J. P., & Guisan, A. (2001). Impact of climate change on vegetation in the European Alps. Climatic Change, 50, 77-109.
46. van Tongeren, O. R. F. (2002). In R. H. G. Jongman, C. J. F. Ter Braak, & O. F. R Van Tongeren (Eds.), Data Analysis in Community and Landscape Ecology, (pp. 174-212). Cambridge: Cambridge University Press.
47. Wohlgemuth, T. (1998). Modeling floristic species richness on a regional scale: A case study in Switzerland. Biodiversity and Conservation, 7, 159-177.
48. Yee, T. W., & Mackenzie, M. (2002). Vector generalized additive models in plant ecology. Ecological Modelling, 157, 141-156.