SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Meineri Eric)
 

Sökning: WFRF:(Meineri Eric) > Monthly microclimat...

  • Greiser, CarolineStockholms universitet,Institutionen för ekologi, miljö och botanik (författare)

Monthly microclimate models in a managed boreal forest landscape

  • Artikel/kapitelEngelska2018

Förlag, utgivningsår, omfång ...

  • Elsevier BV,2018
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:su-151630
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-151630URI
  • https://doi.org/10.1016/j.agrformet.2017.12.252DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • 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.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Meineri, EricStockholms universitet,Institutionen för ekologi, miljö och botanik,Marseille University, France(Swepub:su)emein (författare)
  • Luoto, Miska (författare)
  • Ehrlén, JohanStockholms universitet,Institutionen för ekologi, miljö och botanik(Swepub:su)ehrle (författare)
  • Hylander, KristofferStockholms universitet,Institutionen för ekologi, miljö och botanik(Swepub:su)khyla (författare)
  • Stockholms universitetInstitutionen för ekologi, miljö och botanik (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Agricultural and Forest Meteorology: Elsevier BV250-251, s. 147-1580168-19231873-2240

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy