The impact of the canopy structure on the spatial variability in forest floor carbon stocks

Penne, Carolin; Ahrends, Bernd; Deurer, M.; Böttcher, Jürgen

doi:10.1016/j.geoderma.2010.05.007

Cited by 40 publications

(29 citation statements)

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“…Similarly, Bens et al (2006) found significantly higher O layer thickness around pine trees in stands with advanced age. Penne et al (2010) indicated on a tendency to higher carbon stocks under tree crowns, especially in the F layer, and attributed this relation to variation in needle litter fall. Staelens et al (2003) concluded that the distribution of leaf and needle litter of isolated trees (different species and age classes) follow negative exponential functions with distance from the trees.…”

Section: Spatial Variation In Topsoil Propertiesmentioning

confidence: 98%

“…Apparently, the three latter factors may be somewhat associated with the spatial distribution of trees. For instance, Hirabuki (1991) found a positive relation between tree litter fall and patchy canopy structure in a mixed forest, while Penne et al (2010) in a 55-year-old pine stand (650 stems per ha) found that the needle litter fall was significantly higher directly under the tree crowns compared with the areas without direct canopy cover. Organic matter accumulation also depends on decomposition rate, which, besides tree species-dependent characteristics like hardness, morphology, lignin/N ratio, foliage longevity, and hydrosoluble component content (e.g., Aber et al 1990;Harmon et al 1990;Scott and Binkley 1997), might be also influenced by micro-site characteristics like biological activity and substrate moisture and temperature (Bauhus 1996;Scharenbroch and Bockheim 2007).…”

Section: Spatial Variation In Topsoil Propertiesmentioning

confidence: 99%

“…Moreover, at the withinstand level, differences between the chemical properties of through fall have been found and spatially linked to the crown positions (Beier et al 1993;Whelan et al 1998). The investigations by Hirabuki (1991), Bartsch et al (2002) and Penne et al (2010) also provide evidence that the amount of woody debris is significantly higher under tree crowns than in inter-crown gaps. This small-scale variability of the amount and chemical properties of through fall and litter fall may apparently affect the decomposition rate of organic matter and thus appreciably influence ectohumus layer thickness and topsoil properties (Zinke 1962;Boettcher and Kalisz 1990;Pallant and Riha 1990).…”

Section: Introductionmentioning

confidence: 96%

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Inter-crown versus under-crown area: contribution of local configuration of trees to variation in topsoil morphology, pH and moisture in Abies alba Mill. forests

Paluch¹,

Gruba

2011

Eur J Forest Res

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This investigation of three Abies alba stands differing in stem density (338-715 per ha) and vertical structure (one-storeyed or multi-layered) explored the relations between distance from neighbouring tree stems and local canopy openness and selected topsoil properties. The null hypothesis was that in relatively densely stocked forests of close-random stem distribution topsoil morphology, pH and moisture do not differ in inter-crown and under-crown patches. In three plots 1.1 ha in area, soil samples were taken in a square grid 5.0 9 5.0 m and analysed using semivariogram estimation and spatial autocorrelation. The local configuration of trees around the sampled locations was characterised using hemispheral photography and a local stand density index based on tree locations and diameters. The largest portion of the total variation in the soil variables analysed (68-100%) was attributable to small-scale variation in scales \5 m. In all stands, irrespective of density and vertical structure, local stand density/canopy openness correlated positively/ negatively with ectohumus layer thickness but negatively/ positively with upper soil pH and moisture. Variation in the local configuration of trees explained up to 17% of the total variation in organic horizon thickness, up to 22-29% in topsoil pH (depending on the horizon) and up to 19-27% in topsoil moisture. The results indicate that even in stands of random tree patterning, stem neighbourhood and smallscale variation in canopy density may contribute significantly to topsoil heterogeneity and potentially affect the functioning and structure of forest floor vegetation.

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Section: Spatial Variation In Topsoil Propertiesmentioning

confidence: 98%

Section: Spatial Variation In Topsoil Propertiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

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Inter-crown versus under-crown area: contribution of local configuration of trees to variation in topsoil morphology, pH and moisture in Abies alba Mill. forests

Paluch¹,

Gruba

2011

Eur J Forest Res

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“…For the non-alluvial soils, a different distribution in SOC is noted that is most often characterized by higher concentrations in the surface layers ( Figure 3). This type of distribution is similar to the soils in wooded areas in temperate regions which are characterized by thick litter that forms from an accumulation of dead leaves at the end of fall [49][50][51][52]. Given that the main source of SOC is litter (e.g., dead leaves, twigs, stems) or the decomposition of fine rootlets, higher concentrations will naturally occur in the surface layers [53][54][55].…”

Section: Variability In Soc and Nmentioning

confidence: 68%

Distribution of Soil Organic Carbon in Riparian Forest Soils Affected by Frequent Floods (Southern Québec, Canada)

Saint-Laurent

Gervais-Beaulac

Paradis

et al. 2017

Forests

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Abstract:Measuring soil organic carbon (SOC) in riparian forest soils affected by floods is crucial for evaluating their concentration and distribution along hydrological gradients (longitudinal and transversal). Hydromorphological factors (e.g., sedimentation vs. erosion, size of floodplain, flood recurrence) may be the cause of major variations in the concentration of organic matter and SOC in soils and could have a direct impact on C levels in soil profiles. For this study, SOC concentrations were assessed in riparian soils collected along transects perpendicular to the riverbanks which cross through inundated and non-inundated zones. Other soil properties (e.g., acidity, nitrogen, texture, bulk density) that may affect the concentration of SOC were also considered. The main purpose of this study was to assess SOC concentrations in soils subjected to flooding with those outside the flood zones, and also measure various soil properties (in surface soils and at various depths ranging from 0 to 100 cm) for each selected area. Across the various areas, SOC shows marked differences in concentration and spatial distribution, with the lowest values found in mineral soils affected by successive floods (recurrence of 0-20 years). SOC at 0-20 cm in depth was significantly lower in active floodplains (Tukey HSD test), with average values of 2.29 ± 1.64% compared to non-inundated soils (3.83 ± 2.22%). The proportion of C stocks calculated in soils (inundated vs. non-inundated zones) was significantly different, with average values of 38.22 ± 10.40 and 79.75 ± 29.47 t·ha −1 , respectively. Flood frequency appears to be a key factor in understanding the low SOC concentrations in floodplain soils subjected to high flood recurrence (0-20 years).

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“…Insbesondere Waldböden stellen eine große Senke im globalen Kohlenstoffkreislauf dar und sind eine Schlüsselgröße bezüglich des Klimawandels (JANDL et al 2007, PENNE et al 2010, da dieser Speicher durch veränderte Rahmenbedingungen relativ kurzfristig beeinflusst werden kann (BARITZ 1998). Die Höhe der Emissionen aus diesem Speicher wird stark durch die Bilanz aus Primärproduktion und Respiration gesteuert.…”

Section: Introductionunclassified

Waldböden: Nutzung und Schutz

Versuchsanstalt¹

2017

Beiträge Aus Der Nordwestdeutschen Forstlichen Versuchsanstalt

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Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliographie; detaillierte bibliographische Daten sind im Internet über abrufbar. AbstractNutrient export from the rooting zone through seepage is an important component in the calculation of nutrient budgets for forest ecosystems and for the detection of groundwater pollution, e. g. with nitrates. For the characterisation of the seepage fluxes, it is necessary to determine spatially representative nutrient concentrations of soil solution. The high spatial variability of soil composition and of stand structure, however, causes considerable errors and uncertainties in the determination of these representative concentrations. One possible approach to overcome this is the optimisation of the sampling positions for obtaining soil solution samples by prestratification using soil extracts. Up to now, pre-stratification attempts usually focussed on only one single ion (e. g. nitrate), which limits its suitability for the environmental monitoring of forests. A modification of the KOHLPAINTNER et al.(2012) pre-stratification method for a new ICP Forests intensive monitoring plot (Level II) will be described here. The results show that, with a suitable evaluation algorithm, the potential locations of suction cups can be optimised for multiple ions in soil solution.Keywords: soil solution, leaching, spatial variability, stratification, soil extracts, suction cups EinleitungDie Bodenlösung ist der wichtigste Reaktionstraum für viele Stoffumsätze im Boden. Durch Verwitterungsprozesse, Desorption, Lösung oder Abbau organischer Substanz freigesetzte Stoffe werden zunächst in die Bodenlösung abgegeben, bevor sie von Pflanzenwurzeln aufgenommen werden oder mit dem Sickerwasser aus der Wurzelzone ausgetragen werden (NIEMINEN et al. 2013). Die Bodenlösung ist somit ein wichtiger Indikator zur Kennzeichnung der Nährstoffversorgung und für das Auftreten von toxischem Stress für Waldökosysteme . Der Stoffaustrag aus dem Wurzelraum ist eine wichtige Größe bei der Bilanzierung des Nährstoffhaushaltes (SVERDRUP et al. 2006) und bei der Ermittlung von Grundwasserbelastungen, z. B. durch Nitrat (NO 3 -). Zur Charakterisierung der Elementausträge ist es notwendig, flächenrepräsentative Stoffkonzentrationen der Bodenlösung heranzuziehen (BÖTTCHER u. STREBEL 1988). Eine entsprechende Ableitung ist jedoch mit erheblichen methodischen Schwierigkeiten verbunden (WEIHER-MÜLLER et al. 2007). Für die Ermittlung von Zeitreihen der Zusammensetzung der Repräsentative Gewinnung von Bodenlösung mittels Saugsonden, Teil I 3 Beiträge aus der NW-FVA, Band 17, 2017 Bodenlösung in Monitoringprogrammen wie dem intensiven Waldmonitoring unter ICP Forests (Level II-Programm, DE VRIES et al. 2003) kommen in der Regel Saugsonden zum Einsatz, mit denen über einen porösen Körper (Saugkerze oder Saugplatte) unter Unterdruck Bodenlösung extrahiert wird (NIEMIENEN et al. 2013).Die Ermittlung von repräsentativen Mittelwerten ist durch die hohe räumliche Het...

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The impact of the canopy structure on the spatial variability in forest floor carbon stocks

Cited by 40 publications

References 83 publications

Inter-crown versus under-crown area: contribution of local configuration of trees to variation in topsoil morphology, pH and moisture in Abies alba Mill. forests

Inter-crown versus under-crown area: contribution of local configuration of trees to variation in topsoil morphology, pH and moisture in Abies alba Mill. forests

Distribution of Soil Organic Carbon in Riparian Forest Soils Affected by Frequent Floods (Southern Québec, Canada)

Waldböden: Nutzung und Schutz

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