A stepwise linear regression model for local-scale temperature climates for clear and calm summer nights is presented for a heterogeneous and forested area in south Sweden. The spatial variations in measured air temperature 2 m above 5.5 km of roads were modelled from the following independent variables retrieved from a geographic information system (GIS): sky view factor, altitude, relative relief and presence of peat soils. The model explains 88% of the measured variations in air temperature and 87% of the variations in air temperature of a separate validation data set collected along 2.4 km of roads. Distributed model results for a 7.5-km 2 area generates a map with areas delineated that are prone to low temperature and frost after clear-cutting. The map gives useful information for efficient implementation of frost protection measures in forestry and is based on a simple methodology that can be applied in practical forestry.
Agricultural and Forest Meteorology – Elsevier
Published: Jan 1, 1998
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera