Näytä suppeat kuvailutiedot

dc.contributor.authorTemperli, Christian
dc.contributor.authorBlattert, Clemens
dc.contributor.authorStadelmann, Golo
dc.contributor.authorBrändli, Urs-Beat
dc.contributor.authorThürig, Esther
dc.date.accessioned2020-04-28T09:37:37Z
dc.date.available2020-04-28T09:37:37Z
dc.date.issued2020
dc.identifier.citationTemperli, C., Blattert, C., Stadelmann, G., Brändli, U.-B., & Thürig, E. (2020). Trade-offs between ecosystem service provision and the predisposition to disturbances : a NFI-based scenario analysis. <i>Forest Ecosystems</i>, <i>7</i>, Article 27. <a href="https://doi.org/10.1186/s40663-020-00236-1" target="_blank">https://doi.org/10.1186/s40663-020-00236-1</a>
dc.identifier.otherCONVID_35303445
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68737
dc.description.abstractBackground Scenario analyses that evaluate management effects on the long-term provision and sustainability of forest ecosystem services and biodiversity (ESB) also need to account for disturbances. The objectives of this study were to reveal potential trade-offs and synergies between ESB provision and disturbance predisposition at the scale of a whole country. Methods The empirical scenario model MASSIMO was used to simulate forest development and management from years 2016 to 2106 on 5086 sample plots of the Swiss National Forest Inventory (NFI). We included a business-as-usual (BAU) scenario and four scenarios of increased timber harvesting. Model output was evaluated with indicators for 1) ESB provision including a) timber production, b) old-growth forest characteristics as biodiversity proxies and c) protection against rockfall and avalanches and 2) for a) storm and b) bark beetle predisposition. Results The predisposition indicators corresponded well (AUC: 0.71–0.86) to storm and insect (mostly bark beetle) damage observations in logistic regression models. Increased timber production was generally accompanied with decreased predisposition (storm: >−11%, beetle: >−37%, depending on region and scenario), except for a scenario that promoted conifers where beetle predisposition increased (e.g. + 61% in the Southern Alps). Decreased disturbance predisposition and decreases in old-growth forest indicators in scenarios of increased timber production revealed a trade-off situation. In contrast, growing stock increased under BAU management along with a reduction in conifer proportions, resulting in a reduction of beetle predisposition that in turn was accompanied by increasing old-growth forest indicators. Disturbance predisposition was elevated in NFI plots with high avalanche and rockfall protection value. Conclusions By evaluating ESB and disturbance predisposition based on single-tree data at a national scale we bridged a gap between detailed, stand-scale assessments and broader inventory-based approaches at the national scale. We discuss the limitations of the indicator framework and advocate for future amendments that include climate-sensitive forest development and disturbance modelling to strengthen decision making in national forest policy making.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesForest Ecosystems
dc.rightsCC BY 4.0
dc.subject.otherdisturbance
dc.subject.otherecosystem services
dc.subject.otherempirical model
dc.subject.otherforest inventory
dc.subject.otherscenario analysis
dc.titleTrade-offs between ecosystem service provision and the predisposition to disturbances : a NFI-based scenario analysis
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202004282941
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
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.issn2095-6355
dc.relation.volume7
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s). 2020
dc.rights.accesslevelopenAccessfi
dc.subject.ysometsäsuunnittelu
dc.subject.ysovaltakunnan metsien inventointi
dc.subject.ysometsänkäsittely
dc.subject.ysoekosysteemipalvelut
dc.subject.ysomallit (mallintaminen)
dc.subject.ysokestävä metsätalous
dc.subject.ysoskenaariot
dc.subject.ysohäiriöt
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p1863
jyx.subject.urihttp://www.yso.fi/onto/yso/p37797
jyx.subject.urihttp://www.yso.fi/onto/yso/p27050
jyx.subject.urihttp://www.yso.fi/onto/yso/p24628
jyx.subject.urihttp://www.yso.fi/onto/yso/p510
jyx.subject.urihttp://www.yso.fi/onto/yso/p24880
jyx.subject.urihttp://www.yso.fi/onto/yso/p3296
jyx.subject.urihttp://www.yso.fi/onto/yso/p544
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1186/s40663-020-00236-1
jyx.fundinginformationThis research was funded as part of the Swiss NFI program by the Federal Office of Environment FOEN and the Federal Institute for Forest, Snow and Landscape research WSL.
dc.type.okmA1


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