Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Monthly microclimate models in a managed boreal forest landscape
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences.ORCID iD: 000-0003-4023-4402
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences. Marseille University, France.
Stockholm University, Faculty of Science, Department of Ecology, Environment and Plant Sciences.
Show others and affiliations
2018 (English)In: Agricultural and Forest Meteorology, ISSN 0168-1923, E-ISSN 1873-2240, Vol. 250-251, p. 147-158Article in journal (Refereed) Published
Abstract [en]

The majority of microclimate studies have been done in topographically complex landscapes to quantify and predict how near-ground temperatures vary as a function of terrain properties. However, in forests understory temperatures can be strongly influenced also by vegetation. We quantified the relative influence of vegetation features and physiography (topography and moisture-related variables) on understory temperatures in managed boreal forests in central Sweden. We used a multivariate regression approach to relate near-ground temperature of 203 loggers over the snow-free seasons in an area of ∼16,000 km2 to remotely sensed and on-site measured variables of forest structure and physiography. We produced climate grids of monthly minimum and maximum temperatures at 25 m resolution by using only remotely sensed and mapped predictors. The quality and predictions of the models containing only remotely sensed predictors (MAP models) were compared with the models containing also on-site measured predictors (OS models). Our data suggest that during the warm season, where landscape microclimate variability is largest, canopy cover and basal area were the most important microclimatic drivers for both minimum and maximum temperatures, while physiographic drivers (mainly elevation) dominated maximum temperatures during autumn and early winter. The MAP models were able to reproduce findings from the OS models but tended to underestimate high and overestimate low temperatures. Including important microclimatic drivers, particularly soil moisture, that are yet lacking in a mapped form should improve the microclimate maps. Because of the dynamic nature of managed forests, continuous updates of mapped forest structure parameters are needed to accurately predict temperatures. Our results suggest that forest management (e.g. stand size, structure and composition) and conservation may play a key role in amplifying or impeding the effects of climate-forcing factors on near-ground temperature and may locally modify the impact of global warming.

Place, publisher, year, edition, pages
2018. Vol. 250-251, p. 147-158
Keywords [en]
Canopy cover, Cold air pooling, Climate change, Topoclimate, Climate variability, Forest management
National Category
Climate Research
Identifiers
URN: urn:nbn:se:su:diva-151630DOI: 10.1016/j.agrformet.2017.12.252ISI: 000427338400012OAI: oai:DiVA.org:su-151630DiVA, id: diva2:1174703
Funder
Swedish Research Council Formas, 2014-530Available from: 2018-01-16 Created: 2018-01-16 Last updated: 2018-04-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Greiser, CarolineEhrlén, JohanHylander, Kristoffer
By organisation
Department of Ecology, Environment and Plant Sciences
In the same journal
Agricultural and Forest Meteorology
Climate Research

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 26 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf