DBPapers
DOI: 10.5593/SGEM2014/B32/S14.053

MAPPING BASED ON DEAD WOOD AVAILABILITY. LOCATING BIODIVERSITY HOTSPOTS IN MANAGED FORESTS

I. M. Ifadis, A. A. Demertzi
Wednesday 1 October 2014 by Libadmin2014

References: 14th International Multidisciplinary Scientific GeoConference SGEM 2014, www.sgem.org, SGEM2014 Conference Proceedings, ISBN 978-619-7105-14-8 / ISSN 1314-2704, June 19-25, 2014, Book 3, Vol. 2, 391-398 pp

ABSTRACT
The main objective of this work is to investigate the suitability of dead wood accumulation in managed forests to act as a viable indicator of biodiversity clusters. In the context of modern forestry, sustainability needs constant evaluation and monitoring through various indicators and methods. Dead wood abundance is regarded as one of the key indicators for biodiversity and forest health under the MCPFE Criterion 4. In the present study various dead wood sampling methods are examined in order to design the optimum sampling protocol to assess biodiversity in a managed Mediterranean forest. In general terms, dead wood can be defined as “above and below ground” woody detritus, [1]. In order to simplify the sampling procedure, dead wood below ground as well as dead wood attached to living trees is excluded from inventory since it presents a great difficulty in quantifying [1]. The dead wood which is taken into consideration is above a certain diameter limit and is commonly referred as Coarse Woody Debris (CWD). Suitability maps for biodiversity conservation purposes can then be produced through CWD interpolation with a second forest biodiversity indicator using the clustering tools of a Geographic Information System (GIS). Modelling potential distribution of biodiversity hotspots and production of suitability maps based on CWD presence for further enhancement of sustainability in managed forests, can be achieved through GIS analysis and modelling, in correspondence to habitat suitability models generated for single species in specific areas.

Keywords: dead wood indicator, suitability models, managed forest, biodiversity hotspots, GIS

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