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Biodiversity assessment in forests - from genetic diversity to landscape diversity

O Granke (1)   , B Kenter (2), WU Kriebitzsch (1), M Köhl (1-2), R Köhler (2), K Olschofsky (2)

iForest - Biogeosciences and Forestry, Volume 2, Issue 1, Pages 1-3 (2009)
doi: https://doi.org/10.3832/ifor0474-002
Published: Jan 21, 2009 - Copyright © 2009 SISEF

Review Papers

Collection/Special Issue: Cost Action E29 Meeting 2008 - Istanbul (Turkey)
Future Monitoring and Research Needs for Forest Ecosystems
Guest Editors: Marcus Schaub (WSL, Birmensdorf, CH)


Assessing biodiversity in forests requires a reliable and sustainable monitoring concept, which must include all levels of diversity, the genetic, the species and the landscape level. Diversity studies should not be reduced to quantitative analysis, but qualitative interpretations are an important part for the understanding of the results. Also, the linkage of terrestrial data and remote sensing data as well the implementation of abiotic and biotic data collected on existing monitoring systems are useful sources to analyse cause-effect relationships and interactions between the different aspects of diversity.

  Keywords


Biodiversity, Monitoring, Remote sensing, Habitat modelling, Beech provenances

Authors’ address

(1)
O Granke
WU Kriebitzsch
M Köhl
Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries, Institute for World Forestry, Leuschnerstr. 91 D-21031 Hamburg (Germany)
(2)
B Kenter
M Köhl
R Köhler
K Olschofsky
University of Hamburg, Department of Woodscience, Institute for World Forestry, Leuschnerstr. 91, D-21031 Hamburg (Germany)

Corresponding author

Citation

Granke O, Kenter B, Kriebitzsch WU, Köhl M, Köhler R, Olschofsky K (2009). Biodiversity assessment in forests - from genetic diversity to landscape diversity. iForest 2: 1-3. - doi: 10.3832/ifor0474-002

Academic Editor

Marcus Schaub

Paper history

Received: Mar 13, 2008
Accepted: Dec 09, 2008

First online: Jan 21, 2009
Publication Date: Jan 21, 2009
Publication Time: 1.43 months

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