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dc.contributor.authorKolstela, Joonas
dc.contributor.authorAakala, Tuomas
dc.contributor.authorMaclean, Ilya
dc.contributor.authorNiittynen, Pekka
dc.contributor.authorKemppinen, Julia
dc.contributor.authorLuoto, Miska
dc.contributor.authorRissanen, Tuuli
dc.contributor.authorTyystjärvi, Vilna
dc.contributor.authorGregow, Hilppa
dc.contributor.authorVapalahti, Olli
dc.contributor.authorAalto, Juha
dc.date.accessioned2024-05-02T07:00:31Z
dc.date.available2024-05-02T07:00:31Z
dc.date.issued2024
dc.identifier.citationKolstela, J., Aakala, T., Maclean, I., Niittynen, P., Kemppinen, J., Luoto, M., Rissanen, T., Tyystjärvi, V., Gregow, H., Vapalahti, O., & Aalto, J. (2024). Revealing fine-scale variability in boreal forest temperatures using a mechanistic microclimate model. <i>Agricultural and Forest Meteorology</i>, <i>350</i>, Article 109995. <a href="https://doi.org/10.1016/j.agrformet.2024.109995" target="_blank">https://doi.org/10.1016/j.agrformet.2024.109995</a>
dc.identifier.otherCONVID_213419966
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/94623
dc.description.abstractFine-scale temperatures are important drivers of ecosystem functions and biodiversity in boreal forests. However, accounting for large thermal variability has been difficult due to the coarse spatiotemporal resolution of climate data that is commonly applied in studies of biodiversity and forest health. Here, we use a mechanistic microclimate model and geospatial environmental and weather data to reveal microclimate temperature variability in a broad macroclimatic gradient in boreal forest environments. We modelled hourly near-surface temperatures (0.15 m above ground) in May-August 2020 over three focus areas located in hemiboreal, southern boreal and northern boreal forest zone in Finland at a spatial resolution of 10 m x 10 m. A comparison against data from 150 microclimate stations showed reasonable agreement (root mean square error [RMSE] 2.9 °C) between the measured and modelled temperatures. RMSE for the three focus areas ranged 2.2 –3.2 °C, and the difference was found to be generally smaller under dense canopies compared to open areas. The modelling revealed substantial thermal variability over the landscapes; for example, seasonal near-surface temperature ranges varied 26.5 °C – 42.9 °C, with the variation being smallest in the hemiboreal landscape with multiple large waterbodies, and largest in southern boreal landscape with large wetland areas. These results demonstrate the great potential of mechanistic microclimate modelling to increase our understanding of the thermal characteristics of various boreal forest environments. Ultimately, high-resolution spatiotemporal microclimate data will permit better understanding of e.g., boreal species distribution under climate and land use change and fine-scale variability in disturbances, including insect pests and forest fires.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesAgricultural and Forest Meteorology
dc.rightsCC BY 4.0
dc.subject.othernear surface temperature
dc.subject.otherthermal heterogeneity
dc.subject.otherforest canopy
dc.subject.otherforest microclimate
dc.titleRevealing fine-scale variability in boreal forest temperatures using a mechanistic microclimate model
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202405023249
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0168-1923
dc.relation.volume350
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 The Authors. Published by Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.subject.ysometsät
dc.subject.ysolämpötila
dc.subject.ysopienilmasto
dc.subject.ysohavumetsät
dc.subject.ysolatvusto
dc.subject.ysoboreaalinen vyöhyke
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p5454
jyx.subject.urihttp://www.yso.fi/onto/yso/p2100
jyx.subject.urihttp://www.yso.fi/onto/yso/p13420
jyx.subject.urihttp://www.yso.fi/onto/yso/p16691
jyx.subject.urihttp://www.yso.fi/onto/yso/p9480
jyx.subject.urihttp://www.yso.fi/onto/yso/p16692
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1016/j.agrformet.2024.109995
jyx.fundinginformationJK, HG, OV, JA acknowledges the funding by the Research Council of Finland Flagship funding (grant no. 337552), VECLIMIT project (grant no. 329323).
dc.type.okmA1


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