2008
DOI: 10.1007/s10342-008-0208-8
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Surface temperature change of spruce forest as a result of bark beetle attack: remote sensing and GIS approach

Abstract: In the 1990s, a bark beetle (Ips typographus [L.]) infection caused the decay of spruce forest (Picea abies [L.] Karst.) in the central part of the Š umava Mountains, the Czech Republic, bordering the Bavarian Forest National Park, Germany, where the bark beetle infection started in the late 1980s. Some areas were left without human intervention and, consequently, the trees around these areas were removed to stop further bark beetle outbreak. The objective of our study was the assessment of surface temperature… Show more

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Cited by 61 publications
(41 citation statements)
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“…Increased surface temperatures measured in beetle-killed forests by Hais and Kucera (2008) and modeled by Wiedinmyer et al (2012) may also increase VOC emissions beyond what we show here, as VOC emissions increase exponentially with increasing temperature (Guenther et al, 1993). Simlarly, post-outbreak forestry activity such as salvage logging could impact VOC emissions (e.g.…”
Section: Uncertaintiesmentioning
confidence: 53%
See 1 more Smart Citation
“…Increased surface temperatures measured in beetle-killed forests by Hais and Kucera (2008) and modeled by Wiedinmyer et al (2012) may also increase VOC emissions beyond what we show here, as VOC emissions increase exponentially with increasing temperature (Guenther et al, 1993). Simlarly, post-outbreak forestry activity such as salvage logging could impact VOC emissions (e.g.…”
Section: Uncertaintiesmentioning
confidence: 53%
“…Wiedinmyer et al, 2012;Edburg et al, 2012). Hais and Kucera (2008) estimate a 3.5 K increase in temperature in a spruce forest after beetle attack. In addition, snowpack in a beetle-killed forest can also be prolonged (Boon, 2007;Perrot et al, 2012).…”
Section: A R Berg Et Al: the Impact Of Bark Beetle Infestations Onmentioning
confidence: 99%
“…By coupling multi-resolution data, our intent was to understand scale differences in observations. We attempt to define the type of event and temporal nature of the trend from a few proven spectral indices with simple threshold and trajectory techniques [21,41]. Our classification approach relies on growing season time-series analysis to extract disturbed area through time in an attempt to understand declines in forest productivity.…”
Section: Methodsmentioning
confidence: 99%
“…Temperatures of the atmosphere and soil measured in green mature forest, dead forest and clearings are similar (Hais and Pokorný 2004;Tesař et al 2004;Hais and Kučera 2008;Kindlmann et al 2012). …”
Section: Temperature Regime Sunshine and Vegetation Covermentioning
confidence: 87%