Spatial distribution of soil ergosterol in the organic layer of a mature Scots pine (Pinus sylvestris L.) forest

Möttönen, Marjoriitta; Järvinen, Erkki; Hokkanen, Timo J.; Kuuluvainen, Timo; Ohtonen, Rauni

doi:10.1016/s0038-0717(98)00122-9

Cited by 63 publications

(39 citation statements)

References 48 publications

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“…We found spatial autocorrelation in the carbon stock of the organic layer, that has already been demonstrated in many other studies for a range of soil properties (Järvinen et al, 1993;Hokkanen et al, 1995;Liski, 1995;Bruckner et al, 1999;Möttönen et al, 1999;Muukkonen et al, 2009). Therefore, the spatial structure of the data was considered in the analysis of the soil data.…”

Section: Discussionsupporting

confidence: 84%

“…Significant small-scale autocorrelation in soil properties has been detected when the properties of mineral soil sites have been investigated using variogram analysis and kriging (Järvinen et al, 1993;Arrouays et al, 1997;Bruckner et al, 1999). Small-scale spatial autocorrelation in the amount of carbon has also been identified using variogram analysis (Liski, 1995;Möttönen et al, 1999;Schöning et al, 2006;Muukkonen et al, 2009). Spatially autocorrelated soil data have also been studied using cross-variograms and co-kriging in many geostatistical papers (Papritz and Flühler, 1994;Papritz and Webster, 1995;Lark, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Soil carbon stock increases in the organic layer of boreal middle-aged stands

Häkkinen¹,

Heikkinen²,

Mäkipää³

2011

Biogeosciences

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Abstract. Changes in the soil carbon stock can potentially have a large influence on global carbon balance between terrestrial ecosystems and atmosphere. Since carbon sequestration of forest soils is influenced by human activities, reporting of the soil carbon pool is a compulsory part of the national greenhouse gas (GHG) inventories. Various soil carbon models are applied in GHG inventories, however, the verification of model-based estimates is lacking. In general, the soil carbon models predict accumulation of soil carbon in the middle-aged stands, which is in good agreement with chronosequence studies and flux measurements of eddy sites, but they have not been widely tested with repeated measurements of permanent plots. The objective of this study was to evaluate soil carbon changes in the organic layer of boreal middle-aged forest stands. Soil carbon changes on remeasured sites were analyzed by using soil survey data that was based on composite samples as a first measurement and by taking into account spatial variation on the basis of the second measurement. By utilizing earlier soil surveys, a long sampling interval, which helps detection of slow changes, could be readily available.The range of measured change in the soil organic layer varied from −260 to 1260 g m −2 over the study period of 16-19 years and 23 ± 2 g m −2 per year, on average. The increase was significant in 6 out of the 38 plots from which data were available. Although the soil carbon change was difficult to detect at the plot scale, the overall increase measured across the middle-aged stands agrees with predictions of the commonly applied soil models. Further verification of the soil models is needed with larger datasets that cover wider geographical area and represent all age classes, especially young stands with potentially large soil carbon source.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Soil carbon stock increases in the organic layer of boreal middle-aged stands

Häkkinen¹,

Heikkinen²,

Mäkipää³

2011

Biogeosciences

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show abstract

“…The spatial structure of the microbial biomass content and composition seems to be in the same range as that of the soil moisture content (Bruckner et al, 1999;Klironomos et al, 1999;Möttönen et al, 1999;Saetre, 1999). For example, microbial biomass content showed autocorrelation up to 570 cm in grassland and 60 to 1130 cm in various forest soils (Baldrian et al, 2010a;Möttönen et al, 1999;Ritz et al, 2004;Saetre and Bååth, 2000).…”

Section: Environmental Factors Affecting the Spatial Distribution Of mentioning

confidence: 85%

“…The moisture content in soils often shows high variability not only in space but also in time (Baldrian et al, 2010aGömöryová et al, 2006;Morris, 1999;Möttönen et al, 1999). This variation affects different microbial processes, such as respiration or N transformation (Bengtson et al, 2005;Orchard and Cook, 1983).…”

Section: Environmental Factors Affecting the Spatial Distribution Of mentioning

confidence: 99%