Spatial variability of throughfall chemistry and selected soil properties as influenced by stem distance in a mature Norway spruce (Picea abies, Karst.) stand

Seiler, Johannes; Matzner, Egbert

doi:10.1007/bf00017684

Cited by 40 publications

(41 citation statements)

References 19 publications

(28 reference statements)

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“…Throughfall shows less spatial variation in periods with high rain intensities (Bouten et al, 1992 Table 3. (Spatial) coefficients of variation (CV, %) of throughfall in this and four other studies in coniferous forests: Pedersen (1992), Beier et al (1993), Seiler and Matzner (1995) and Whelan et al (1998). CVs of ions in Pedersen (1992) and Seiler and Matzner (1995) refer to time-average concentrations; all other studies refer to amounts.…”

Section: Spatial Patterns Of Throughfallmentioning

confidence: 69%

“…(Spatial) coefficients of variation (CV, %) of throughfall in this and four other studies in coniferous forests: Pedersen (1992), Beier et al (1993), Seiler and Matzner (1995) and Whelan et al (1998). CVs of ions in Pedersen (1992) and Seiler and Matzner (1995) refer to time-average concentrations; all other studies refer to amounts. CVs in Whelan et al (1998) are for individual collection periods of 9 to 17 days length.…”

Section: Spatial Patterns Of Throughfallmentioning

confidence: 75%

“…The funnel collection area used in this study is larger than the collection area used in these other studies, which could explain the smaller CVs in this study. Seiler and Matzner (1995) attributed the small CV for NH 4 + in their study to foliar uptake of NH 4 + (and NO 3 -), counteracting the enlarging effect that dry deposition generally has on ion throughfall flux spatial variability. At Speuld, there is some retention of NH x and NO x in the canopy (Draaijers et al, 1997), but this retention is insufficiently large to counteract the relatively high NH x and NO x deposition in this forest.…”

Section: Spatial Patterns Of Throughfallmentioning

confidence: 85%

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Spatial variability of throughfall water and chemistry and forest floor water content in a Douglas fir forest stand

Raat

Draaijers²,

Schaap

et al. 2002

Hydrol. Earth Syst. Sci.

119

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This study focuses on spatial variability of throughfall water and chemistry and forest floor water content within a Douglas fir (Pseudotsuga menziesii, Franco L.) forest plot. Spatial patterns of water and chemistry (NH 4 + , NO 3 -, SO 4 2-, Cl -, Mg 2+ , Ca 2+ , Na + and K + ) were compared and tested for stability over time. The spatial coefficient of variation (CV) was between 18 and 26% for amounts of throughfall water and ions, and 17% for forest floor water content. Concentrations and amounts of all ions were correlated significantly. Ion concentrations were negatively correlated with throughfall water amounts, but, except for NH 4 + , there was no such relation between throughfall water and ion amounts. Spatial patterns of throughfall water fluxes and forest floor water contents were consistent over time; patterns of ion fluxes were somewhat less stable. Because of the spatial variability of forest floor thickness and drainage, it was not possible to relate patterns in throughfall water directly to patterns in water content. The spatial variability of throughfall nitrogen and forest floor water contents can cause significant variability in NO 3 -production within the plot studied.

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Section: Spatial Patterns Of Throughfallmentioning

confidence: 69%

Section: Spatial Patterns Of Throughfallmentioning

confidence: 75%

Section: Spatial Patterns Of Throughfallmentioning

confidence: 85%

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Spatial variability of throughfall water and chemistry and forest floor water content in a Douglas fir forest stand

Raat

Draaijers²,

Schaap

et al. 2002

Hydrol. Earth Syst. Sci.

119

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“…Trees can create gradients in soil moisture [4][5][6], temperature [7,8], texture [9], carbon (C) and nutrient accumulation and turnover [10][11][12], understory species composition through spatially distinct effects via litter accumulation [1,12,13], stemflow and throughfall [14,15], light and precipitation interception [16][17][18] and root distribution [8,19].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Restoration Treatments on the Spatial Variability of Soil Processes under Longleaf Pine Trees

Lavoie

Mack

Hiers

et al. 2012

Forests

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Abstract:The objectives of this study were to (1) characterize tree-based spatial patterning of soil properties and understory vegetation in frequently burned ("reference state") and fire-suppressed longleaf pine forests; and (2) determine how restoration treatments affected patterning. To attain these objectives, we used an experimental manipulation of management types implemented 15 years ago in Florida. We randomly located six mature longleaf pine trees in one reference and four restoration treatments (i.e., burn, control, herbicide, and mechanical), for a total of 36 trees. In addition to the original treatments and as part of a monitoring program, all plots were subjected to several prescribed fires during these 15 years. Under each tree, we sampled mineral soil and understory vegetation at 1 m, 2 m, 3 m and 4 m (vegetation only) away from the tree. At these sites, soil carbon and nitrogen were higher near the trunk while graminoids, forbs and saw palmetto covers showed an opposite trend. Our results confirmed that longleaf pine trees affect the spatial patterning of soil and understory vegetation, and this patterning was mostly limited to the restoration sites. We suggest frequent burning as a probable cause for a lack of spatial structure in the "reference state". We attribute the presence of spatial patterning in the restoration sites to accumulation of organic materials near the base of mature trees.

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“…Due to the generally large spatial heterogeneity of the soilsolution chemistry in forest soils, particularly at small scales (Mellert et al, 2008), the experimental design of the soil-solution sampling should be carefully adjusted to site conditions (Manderscheid and Matzner, 1995;Seiler and Matzner, 1995). In this study, the number and spatial distribution of suction cups were stratified on the basis of forest-cover density and tree-species composition, but without covering the whole range of situations of base saturation in the watershed for which upscaling models have been performed (Figs.…”

Section: Ion-distribution Coefficientsmentioning

confidence: 99%

Upscaling spatio‐temporal patterns of cation fluxes in acid forest soils

Zirlewagen

Wilpert²

2010

Z. Pflanzenernähr. Bodenk.

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One main problem with current research on spatio-temporal modeling of ion fluxes in forest soils is the separation of space and time effects in the soil-monitoring concept. This article describes an approach to overcome this weakness. Time trends of point information on soil-solution data (base-cation concentrations and fluxes) are scaled by linking them to soil-chemical data which is available in higher spatial resolution and can be upscaled to an area base. This approach is based on a combined evaluation of bulk soil and soil-solution data using both statistical and process-oriented methods. Multiple-linear-regression analyses coupled with geostatistics were developed to predict spatial patterns of exchangeable cation percentages. In a second step, empirical ion-distribution coefficients were adapted according to Gapon using data of suctioncup plots and bulk-soil samples. Seasonally adjusted time-series data of soil-solution chemistry were then connected with the maps of the predicted exchangeable-cation percentages by means of the Gapon equations. This evaluation step provided both time-and space-dependent maps of cation concentrations in the soil solution. Finally, using the results of a water-budget model it was possible to derive spatio-temporal patterns of soil cation fluxes. Methodological limitations and the results of verification processes are discussed. The methods described can only be used in acidic soils and should not be used in soil layers rich in humus, since adsorption to C compounds differs from adsorption to clay minerals. The time increments of the models should be not shorter than yearly in order to suppress annual periodicity. Although the Gapon equations were not based on laboratory-determined exchange solutions at quasi-equilibrium, but rather on field data from the suction-cup technique, the exchangeable-cation percentages showed steady functions of selectivity coefficients. The methods tested at a watershed scale may be flexible enough to be applied at other scales as well.

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Spatial variability of throughfall chemistry and selected soil properties as influenced by stem distance in a mature Norway spruce (Picea abies, Karst.) stand

Cited by 40 publications

References 19 publications

Spatial variability of throughfall water and chemistry and forest floor water content in a Douglas fir forest stand

Spatial variability of throughfall water and chemistry and forest floor water content in a Douglas fir forest stand

The Effect of Restoration Treatments on the Spatial Variability of Soil Processes under Longleaf Pine Trees

Upscaling spatio‐temporal patterns of cation fluxes in acid forest soils

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