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Part of the book series: Forestry Sciences ((FOSC,volume 76))

Abstract

In the past the focus of productive functions of forests and rendered the assessment of information forest resource assessments was put on the assessment of the inside forested areas sufficient. The need to monitor the sustainability of yield made permanent surveys a widespread tool in forest surveys. Nowadays the public awareness concerning environmental issues and forests and the information needs expressed by decision makers requires a shift from production oriented forest resource assessments towards assessments that provide information on the multiple functions of forests. Only a limited amount of information can be provided by adding a set of new attributes to the list of attributes commonly used in assessing the productive function of forests and utilizing their survey designs. The diverse information needs that have to be satisfied by multi-resource forest surveys require the adoption of new assessment and survey approaches and the extension of assessments from forests to landscapes. This paper reviews a selection of methodological approaches recently presented for the assessment of the multiple functions of forests.

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References

  • Bachmann, P., Köhl, R., Päivinen, M. (eds.) 1998. Assessment of Biodiversity for Improved Forest Planning. Kluwer Academic Publishers, Dordrecht, 421 p.

    Google Scholar 

  • Barabesi, L., Fattorini, L. 1995. Kernel plant density estimation by a ranked set sampling of point-to plant distances. In The Monte Verita Conference on Forest Survey Designs. Köhl, M. et al. (eds).WSL/ ETHZ, Birmensdorf, Switzerland: 71–80.

    Google Scholar 

  • Bodmer, H.C. 1988. Forest Stands Mapping by Means of Satellite Imagery in the Swiss Middle Lands. In Proc. of IUFRO Subj. Group 4.02.05, Finland: 53–61.

    Google Scholar 

  • Brändli, U.B., Kaufmann, E., Stierlin, H.R. 1995. Survey of biodiversity at the forest margin in the second Swiss NFI. In The Monte Verita Conference on Forest Survey Designs. Köhl, M. et al. (eds). WSL/ ETHZ, Birmensdorf, Switzerland: 141–150.

    Google Scholar 

  • Brändli, U.B., Ulmer, U. 1999. Naturschutz und Erholung. In Schweizerisches Landesforstinventar: Ergebnisse der Zweitaufnahme. Brassel, P., Brändli, U.B. (eds.). 1993–1995: p. 309 ff.

    Google Scholar 

  • Carlowitz, H. von 1713. Sylvicultura Economica oder Haußwirthliche Nachricht und Naturmäßige Anweisung zur Wilden Baum-Zucht, J.F. Braun, Leipzig.

    Google Scholar 

  • Brassel, P. 1995. Assessment of Non-Productive Forest Functions in the Swiss NFI. In The Monte Verita Conference on Forest Survey Designs. Köhl, M. et al. (eds). WSL/ ETHZ, Birmensdorf, Switzerland: 38–46.

    Google Scholar 

  • Clayton, G., Cox, T.F. 1986. Some robust density estimators for spatial point processes. Biometrics 42: 753–767.

    Article  Google Scholar 

  • Dietrich, V. 1941. Forstliche Betriebswirtschaftslehre, Bd. 3, Erfolgsrechnung–Zielsetzung, Verlag Paul Parey, Berlin und Hamburg.

    Google Scholar 

  • Dillworth, M., Whistler, J.L., Merchant, J.W. 1994. Measuring landscape structure using geographic and geometric windows. Photogrammetric Engineering & Remote Sensing 60 (10): 1215–1224.

    Google Scholar 

  • EC (European Commission) 1997. Study on European Forestry Information and Communication System: Report on Forest Inventory and Survey Systems. European Commission, Luxembourg.

    Google Scholar 

  • Forman, R.T.T., Godron, M. 1986. Landscape Ecology. John Wiley & Sons, New York, 620 p.

    Google Scholar 

  • Gadow, K. von 1995. Forest Planning in Europe–with Particular Reference to Central Europe. In Multiple Use and Environmental Values in Forest Planning. Hyttinen, P., A. Kähkönen, P. Pelli (eds.). EFI Proceedings 4: 5–18.

    Google Scholar 

  • Gray, P.A., Cameron, D., Kirkham, I. 1996. Wildlife habitat evaluation in forested ecosystems: some examples from Canada and the United States. In Conservation of faunal diversity in forested landscapes. deGraaf, R.M., Miller, R.I. (eds.). Chapman and Hall, New York: 407–533.

    Google Scholar 

  • Hagen, O. von 1867. Die forstlichen Verhältnisse Preußens, J. Springer, Berlin.

    Google Scholar 

  • Hartig, G.L. 1804. Anweisung zur Taxation der Forste oder zur Bestimmung des Holzertrags der Wälder, Heyer, Gießen.

    Google Scholar 

  • Holmgren, P., Thuresson, T. 1998. Satellite Remote Sensing for Forestry Planning–A Review. Scandinavian Journal of Forest Research 13: S. 90–110, 1998.

    Article  Google Scholar 

  • Innes, J.L. 1995. Assessment of Non-Timber Functions: Forest Ecosystems, In The Monte Verita Conference on Forest Survey Designs. Köhl, M. et al. (eds). WSL/ ETHZ, Birmensdorf, Switzerland: 269–280.

    Google Scholar 

  • ITTO (International Tropical Timber Organisation) 1992. Criteria for the measurement of sustainable tropical forest management. ITTO Policy Development Series 3, ITTO, Yokohama.

    Google Scholar 

  • Jennings, M.D. 2000. Gap analysis: concepts, methods, and recent results. Landscape Ecology 15: 5–20.

    Article  Google Scholar 

  • Kellenberger, T. 1996. Erfassung der Waldfläche in der Schweiz mit multispektralen Satellitenbilddaten. Remote Sensing Series, 28, Univ. Zürich, Geographisches Institut, 284 S.

    Google Scholar 

  • Kilkki, P., Päivinen, R. 1987. Reference Sample Plots to Combine Field Measurements and Satellite Data in Forest Inventories. University of Helsinki, Department of Forest Mensuration and Management, Research Notes 19: 209–215.

    Google Scholar 

  • Kenter, B., Coch, T., Köhl, M. 2002. Development of Methods and Tools for Monitoring Forest Biodiversity as a Contribution to Sustainable Forest Management in Europe (DMMD)–A Multitemporal Analysis of Habitat Suitability. In Collecting and analysing information for SFM and biodiversity monitoring with special reference to Mediterranean Ecosystems. IUFRO-conference, Palermo, Sicily, 4–7 December 2001.

    Google Scholar 

  • Köhl, M., Lautner, M. 2001. Erfassung von Waldökosystemen durch Hyperspektraldaten, Photogrammetrie–Fernerkundung–Geoinformation, Heft 2: 107–117.

    Google Scholar 

  • Leibundgut, H. 1949. Grundzüge der Schweizerischen Waldbaulehre, Forstwissenschaftliches Centralblatt 68: 257–291.

    Article  Google Scholar 

  • McGarigal, K., Marks, B.J. 1994. FRAGSTATS–spatial analysis program for quantifying landscape structure, Forest Science Department, Oregon State University, Corvallis.

    Google Scholar 

  • MCPFE 1998a. Third Ministerial Conference on the Protection of Forests in Europe. General declaration and resolutions adopted. Resolution L 2. Liaison Unit in Lisbon (Ed.), June 1998.

    Google Scholar 

  • MCPFE 1998b. Third Ministerial Conference on the Protection of Forests in Europe. Follow-up Reports on the Ministerial Conferences on the Protection of Forests in Europe. Volume II. Liaison Unit in Lisbon (Ed.), June 1998.

    Google Scholar 

  • MCPFE 2000. General Declarations and Resolutions Adopted by the MCPFE. Liaison Unit Vienna, Vienna.

    Google Scholar 

  • Merchant, J.W. 1984. Using Spatial Logic in Classification of Landsat TM Data, Proceedings of the Pecora IX Symposium. 378–385, Sioux Falls, South Dakota.

    Google Scholar 

  • Noss, R.F. 1999. Assessing and monitoring forest biodiversity: A suggested framework and indicators. Forest Ecology Management 115: 135–146.

    Google Scholar 

  • Oehmichen, K. 2001. Vergleich von Landschaftsindizes unter besonderer Berücksichtigung des geometrischen-und geographischen Window–Konzeptes, Diplomarbeit, TU Dresden, Fakultät Forst-, Geo-, Hydrowissenschaften, Tharandt.

    Google Scholar 

  • Ord, K. 1990. Statistical methods for point pattern data. In Spatial statistics: past, present, future. Griffith, D.A. (ed.). Institute of Mathematical Geography, Ann Arbor, Michigan: 31–53.

    Google Scholar 

  • Ott, W.R. 1978. Environmental Indices: Theory and Practice. Ann Arbour Science. Ann Arbour.

    Google Scholar 

  • Patil, G.P., Burnham, K.P., Kovner, J.L. 1979. Nonparametric estimation of plant density by the distance method. Biometrics 35: 597–604.

    Article  Google Scholar 

  • Patil, G.P., Sinha, A.K., Taillie, C. 1994. Ranked set sampling. In Environmental statistics. Patil, G.P., Rao, C.R., (eds.). Handbook of statistics No. 12, North-Holland, Amsterdam: 167–200.

    Google Scholar 

  • Rand, G.M., Newman, J.R. 1998. The applicability of habitat evaluation methodologies in ecological risk assessment. Human and Ecological Risk Assessment 4: 905–929.

    Article  Google Scholar 

  • Richter, A. 1963. Einführung in die Forsteinrichtung, Naumann Verlag, Radebeul.

    Google Scholar 

  • Ricotta, C., Avena, G.C., Olsen, E.R. 1998. Geographic windows in the fractal analysis of local landscape complexity. Abstracta Botanica 22: 143–147.

    Google Scholar 

  • Ringvall, A., Ståhl, G. 1999. Field aspects of line intersect sampling for assessing coarse woody debris. Forest Ecology and Management 119: 163–170.

    Article  Google Scholar 

  • Roesch, F. 1993. Adaptive Cluster Sampling for Forest Inventories. Forest Science 39: 655–669.

    Google Scholar 

  • Scott, A.J., Seber, G.A.F. 1983. Differences of proportions from the same survey. The American Statistician 37: 319–320.

    Google Scholar 

  • Speidel, G. 1972. Planung im Forstbetrieb, Verlag Paul Parey, Hamburg und Berlin.

    Google Scholar 

  • Ståhl, G., Lämås, T. 1998. Assessment of coarse woody debris, a comparison of probability sampling methods. In Assessment of forest biodiversity for improved forest management. Bachmann, P., Köhl, M., Päivinnen, R. (eds.). Kluwer Academic Publishers, Dordrecht: 241–248.

    Google Scholar 

  • Ståhl, G. 1998. The transect relascope, an instrument for the quantification of coarse woody debris. Forest Science 44 (1): 201–215.

    Google Scholar 

  • Thompson, S.K. 1990. Adaptive Cluster Sampling. JASA 85: 1050–1059.

    Article  Google Scholar 

  • Tomppo, E. 1993. Multi-source National Forest Inventory of Finland. In Proceedings of the Ilvessalo symposium on National Forest Inventories. A. Nyssönen (ed.). Finnish Forest Research Institute, Research Paper 444: 52–59.

    Google Scholar 

  • Upton, G., Fingleton, B. 1985. Spatial data analysis by example. John Wiley & Sons, New York, Vol I, 408 p.

    Google Scholar 

  • Ziese, H. 1999. Adaptive Gruppenstichproben zur Erfassung seltener Ereignisse, Diplomarbeit TU-Dresden, Fakultät Forst-, Geo-, Hydrowissenschaften, Tharandt.

    Google Scholar 

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Köhl, M. (2003). New Approaches for Multi Resource Forest Inventories. In: Corona, P., Köhl, M., Marchetti, M. (eds) Advances in Forest Inventory for Sustainable Forest Management and Biodiversity Monitoring. Forestry Sciences, vol 76. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0649-0_1

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  • DOI: https://doi.org/10.1007/978-94-017-0649-0_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6466-0

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