Näytä suppeat kuvailutiedot

dc.contributor.authorMikkonen, Ninni
dc.contributor.authorLeikola, Niko
dc.contributor.authorHalme, Panu
dc.contributor.authorHeinaro, Einari
dc.contributor.authorLahtinen, Ari
dc.contributor.authorTanhuanpää, Topi
dc.date.accessioned2020-09-07T04:49:30Z
dc.date.available2020-09-07T04:49:30Z
dc.date.issued2020
dc.identifier.citationMikkonen, N., Leikola, N., Halme, P., Heinaro, E., Lahtinen, A., & Tanhuanpää, T. (2020). Modeling of Dead Wood Potential Based on Tree Stand Data. <i>Forests</i>, <i>11</i>(9), Article 913. <a href="https://doi.org/10.3390/f11090913" target="_blank">https://doi.org/10.3390/f11090913</a>
dc.identifier.otherCONVID_41868715
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/71638
dc.description.abstractHere 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.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesForests
dc.rightsCC BY 4.0
dc.subject.otherbiodiversity
dc.subject.othercoarse woody debris
dc.subject.otherconservation planning
dc.subject.otherforest simulation
dc.subject.otherspatial conservation prioritization
dc.titleModeling of Dead Wood Potential Based on Tree Stand Data
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202009075747
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineEvoluutiotutkimus (huippuyksikkö)fi
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineCentre of Excellence in Evolutionary Researchen
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1999-4907
dc.relation.numberinseries9
dc.relation.volume11
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights.accesslevelopenAccessfi
dc.subject.ysosimulointi
dc.subject.ysosuojelusuunnitelmat
dc.subject.ysometsänkäsittely
dc.subject.ysobiodiversiteetti
dc.subject.ysolahopuut
dc.subject.ysometsiensuojelu
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p4787
jyx.subject.urihttp://www.yso.fi/onto/yso/p22721
jyx.subject.urihttp://www.yso.fi/onto/yso/p27050
jyx.subject.urihttp://www.yso.fi/onto/yso/p5496
jyx.subject.urihttp://www.yso.fi/onto/yso/p17211
jyx.subject.urihttp://www.yso.fi/onto/yso/p18321
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/f11090913
jyx.fundinginformationN.M., N.L. and A.L. were funded by the Finnish Ministry of the Environment (Forest BiodiversityProgramme in Southern Finland METSO YM8/221/2010 and VN/6587/201). T.T. was funded by the Academyof Finland’s Strategic Research Council (IBC-Carbon, project number 312559). E.H. was funded from the LIFEfinancial instrument of the European Union (Beetles LIFE (LIFE17/NAT/FI/000181)). Open access funding wasprovided by University of Helsinki.
dc.type.okmA1


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