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Modeling of dead wood potential based on tree stand data

Year of publication

2020

Authors

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

Abstract

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 the most important factors for biodiversity in forests. As they are easy to recognize on site, it is widely 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 wood conditions change rapidly. Our method is based on the forest growth models in the Motti forest 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 DWPs were compared to the measured dead wood volumes. Our results show that DWP modeling is 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.
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Organizations and authors

University of Eastern Finland

Tanhuanpää Topi-Mikko

University of Helsinki

Heinaro Einari

Mikkonen Ninni

Tanhuanpää Topi

Finnish Environment Institute

Leikola Niko

Mikkonen Ninni

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Forests

Parent publication name

Forests

Volume

11

Issue

9

Article number

913

​Publication forum

56294

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Ecology, evolutionary biology; Forestry

Keywords

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Publication country

Switzerland

Internationality of the publisher

International

Language

English

International co-publication

No

Co-publication with a company

No

DOI

10.3390/f11090913

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes