Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property

Abstract There is a trade‐off between leaving coarse woody debris (CWD) in the stand, providing desirable ecosystem services, and harvesting it. To consider this trade‐off, forest management needs to model describing the decomposition of CWD. When a trunk is lying on the ground, it can be attacked b...

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Autores principales:	Lorenzo Menichetti, Harri Mäkinen, Johan Stendahl, Göran I. Ågren, Riitta Hyvönen
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Bayesian statistics Betula pendula CWD decomposition forest C balance forest management GHG Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/ab41cf20503e4c97b360ced70f35f247
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spelling	oai:doaj.org-article:ab41cf20503e4c97b360ced70f35f2472021-11-29T07:06:42ZModeling persistence of coarse woody debris residuals in boreal forests as an ecological property2150-892510.1002/ecs2.3792https://doaj.org/article/ab41cf20503e4c97b360ced70f35f2472021-11-01T00:00:00Zhttps://doi.org/10.1002/ecs2.3792https://doaj.org/toc/2150-8925Abstract There is a trade‐off between leaving coarse woody debris (CWD) in the stand, providing desirable ecosystem services, and harvesting it. To consider this trade‐off, forest management needs to model describing the decomposition of CWD. When a trunk is lying on the ground, it can be attacked by microorganisms faster than when it is still standing. Current decomposition models fail to account for these local differences in processes, which may give rise to errors in the estimation of stand C balance. We extended the Q decomposition model to represent the influences of tree species and the local position of the wood. We utilized data from two studies on long‐term deadwood decomposition in forests. We first calibrated the model on the whole dataset, and then divided the data into different CWD decomposition classes, and then allowed some of the parameters to vary between different CWD decomposition classes. The calibrations were performed within a Bayesian framework, which allowed for a statistically sound comparison of the calibration results. The difference between the remaining C mass predicted by the two versions of the model, one considering one single calibration for all decomposition classes and one specific to decomposition classes, depended on the CWD class but was in general substantial. Some classes, when modeled with a specific parameterization, resulted in C stocks after 50 yr 1–5 times less than that predicted by the single parameterization model. Logs decayed faster than snags, and birch wood much faster than pine and spruce wood, with little difference between the two conifers. Russian spruce wood decomposed somewhat faster than Finnish spruce wood. Incorporating our calibration, describing specifically the processes driving the wood decay locally, into a C balance model of forests may change model estimates substantially.Lorenzo MenichettiHarri MäkinenJohan StendahlGöran I. ÅgrenRiitta HyvönenWileyarticleBayesian statisticsBetula pendulaCWD decompositionforest C balanceforest managementGHGEcologyQH540-549.5ENEcosphere, Vol 12, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Bayesian statistics Betula pendula CWD decomposition forest C balance forest management GHG Ecology QH540-549.5
spellingShingle	Bayesian statistics Betula pendula CWD decomposition forest C balance forest management GHG Ecology QH540-549.5 Lorenzo Menichetti Harri Mäkinen Johan Stendahl Göran I. Ågren Riitta Hyvönen Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
description	Abstract There is a trade‐off between leaving coarse woody debris (CWD) in the stand, providing desirable ecosystem services, and harvesting it. To consider this trade‐off, forest management needs to model describing the decomposition of CWD. When a trunk is lying on the ground, it can be attacked by microorganisms faster than when it is still standing. Current decomposition models fail to account for these local differences in processes, which may give rise to errors in the estimation of stand C balance. We extended the Q decomposition model to represent the influences of tree species and the local position of the wood. We utilized data from two studies on long‐term deadwood decomposition in forests. We first calibrated the model on the whole dataset, and then divided the data into different CWD decomposition classes, and then allowed some of the parameters to vary between different CWD decomposition classes. The calibrations were performed within a Bayesian framework, which allowed for a statistically sound comparison of the calibration results. The difference between the remaining C mass predicted by the two versions of the model, one considering one single calibration for all decomposition classes and one specific to decomposition classes, depended on the CWD class but was in general substantial. Some classes, when modeled with a specific parameterization, resulted in C stocks after 50 yr 1–5 times less than that predicted by the single parameterization model. Logs decayed faster than snags, and birch wood much faster than pine and spruce wood, with little difference between the two conifers. Russian spruce wood decomposed somewhat faster than Finnish spruce wood. Incorporating our calibration, describing specifically the processes driving the wood decay locally, into a C balance model of forests may change model estimates substantially.
format	article
author	Lorenzo Menichetti Harri Mäkinen Johan Stendahl Göran I. Ågren Riitta Hyvönen
author_facet	Lorenzo Menichetti Harri Mäkinen Johan Stendahl Göran I. Ågren Riitta Hyvönen
author_sort	Lorenzo Menichetti
title	Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
title_short	Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
title_full	Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
title_fullStr	Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
title_full_unstemmed	Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
title_sort	modeling persistence of coarse woody debris residuals in boreal forests as an ecological property
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/ab41cf20503e4c97b360ced70f35f247
work_keys_str_mv	AT lorenzomenichetti modelingpersistenceofcoarsewoodydebrisresidualsinborealforestsasanecologicalproperty AT harrimakinen modelingpersistenceofcoarsewoodydebrisresidualsinborealforestsasanecologicalproperty AT johanstendahl modelingpersistenceofcoarsewoodydebrisresidualsinborealforestsasanecologicalproperty AT goraniagren modelingpersistenceofcoarsewoodydebrisresidualsinborealforestsasanecologicalproperty AT riittahyvonen modelingpersistenceofcoarsewoodydebrisresidualsinborealforestsasanecologicalproperty
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Modeling persistence of coarse woody debris residuals in boreal forests as an ecological property

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