2021
DOI: 10.2478/forj-2021-0003
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Effects of forest disturbance on seasonal soil temperature changes in the Tatra Mountains in southern Poland

Abstract: The purpose of the study was to examine the effects of forest disturbance on seasonal changes in soil temperature in the Tatra Mountains (Poland). In the years 2015–2020 soil temperatures were measured at a depth of 20 cm on north- and south-facing mountain slopes in a catchment where forest was disturbed by hurricane-force winds in 2013 and in a control neighboring woodland catchment. The effect of forest disturbance was manifested first and foremost in an increase in the soil temperature during the summer mo… Show more

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Cited by 4 publications
(3 citation statements)
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“…The landmark Detrital Input and Removal Treatment network experiment applied consistent methodologies and manipulations at sites worldwide; litter addition stimulated priming effects, increasing Rs (Lajtha et al., 2018). The common thread among these disturbances is their tendency to disrupt the existing carbon balance in soils, frequently leading to a prolonged reduction in Rs and soil organic carbon (SOC) in spite of often‐elevated soil temperatures after disturbance (Aust & Lea, 1991; Siwek, 2021; Williams et al., 2016).…”
Section: In Situ Measurements and Manipulationsmentioning
confidence: 99%
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“…The landmark Detrital Input and Removal Treatment network experiment applied consistent methodologies and manipulations at sites worldwide; litter addition stimulated priming effects, increasing Rs (Lajtha et al., 2018). The common thread among these disturbances is their tendency to disrupt the existing carbon balance in soils, frequently leading to a prolonged reduction in Rs and soil organic carbon (SOC) in spite of often‐elevated soil temperatures after disturbance (Aust & Lea, 1991; Siwek, 2021; Williams et al., 2016).…”
Section: In Situ Measurements and Manipulationsmentioning
confidence: 99%
“…Subsequent studies have collected Rs data from the African continent (Epule, 2015), Russia (Mukhortova et al, 2021), and China (D.-G. Kim et al, 2022;Song et al, 2014). There have also been nascent efforts to compile data from automated systems into standardized formats and databases (Bond-Lamberty et al, 2020, 2021.…”
Section: Global-scale Data and Analysesmentioning
confidence: 99%
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