Modeling of Dead Wood Potential Based on Tree Stand Data

Ninni Mikkonen, Niko Leikola, Panu Halme, Einari Heinaro, Ari Lahtinen, Topi Tanhuanpää

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review


Here we present a framework for identifying areas with high dead wood potential (DWP) for conservation planning needs. The amount and quality of dead wood and dying trees are some of themostimportantfactorsforbiodiversityinforests. Astheyareeasytorecognizeonsite,itiswidely used as a surrogate marker for ecological quality of forests. However, wall-to-wall information on dead wood is rarely available on a large scale as field data collection is expensive and local dead woodconditionschangerapidly. OurmethodisbasedontheforestgrowthmodelsintheMottiforest simulator, taking into account 168 combinations of tree species, site types, and vegetation zones as well as recommendations on forest management. Simulated estimates of stand-level dead wood volume and mean diameter at breast height were converted into DWP functions. The accuracy of the method was validated on two sites in southern and northeastern Finland, both consisting of managed and conserved boreal forests. Altogether, 203 field plots were measured for living and dead trees. Data on living trees were inserted into corresponding DWP functions and the resulting DWPswerecomparedtothemeasureddeadwoodvolumes. OurresultsshowthatDWPmodelingis an operable tool, yet the accuracy differs between areas. The DWP performs best in near-pristine southern forests known for their exceptionally good quality areas. In northeastern areas with a history of softer management, the differences between near-pristine and managed forests is not as clear. While accurate wall-to-wall dead wood inventory is not available, we recommend using DWP method together with other spatial datasets when assessing biodiversity values of forests.
Antal sidor21
StatusPublicerad - 20 aug 2020
MoE-publikationstypA1 Tidskriftsartikel-refererad


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Mikkonen, N., Leikola, N., Halme, P., Heinaro, E., Lahtinen, A., & Tanhuanpää, T. (2020). Modeling of Dead Wood Potential Based on Tree Stand Data. Forests, 11(9).