Capturing spatial variability of soil and litter properties in a forest stand by landform segmentation procedures

Martin, W. Kirk; Timmer, V. R.

doi:10.1016/j.geoderma.2005.05.004

Cited by 30 publications

(20 citation statements)

References 36 publications

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“…This apparently closely relates to the influence of the tree layer (Riha et al 1986;Baniamino et al 1991;Stork and Dilly 1998;Seastedt and Adams 2001;Gömör-yová et al 2006, Gruba 2009), terrain micro-topography (Martin and Timmer 2006) and the disturbance regime of soils (Phillips et al 1994;Šamonil et al 2008a, b;Š amonil et al 2010a, b). At the same time, the higher proportion of variability over short distances was found in the lower-situated B-horizon when compared with the surface horizons.…”

Section: Spatial Patterns and Processesmentioning

confidence: 97%

Soil variability through spatial scales in a permanently disturbed natural spruce-fir-beech forest

et al. 2011

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Soil variability was assessed in a 74.2-ha area within the Ž ofínský prales natural forest. Parameters evaluated for 1765 soil profiles inside 353 graticule plots were as follows: (1) thickness of organic horizons, (2) thickness and form of mineral horizons, (3) humus form (HF), (4) soil taxonomic unit (STU) and (5) anomalies. In addition, soil reaction (pH KCl ) and oxidizable carbon content (C ox ) were measured in the laboratory for 734 samples from the upper mineral (A) and lower mineral (B) horizons. The most frequently occurring humus form was mor followed by moder, hydromor and peaty T-horizon. Entic Podzols, Dystric Cambisols, Haplic Cambisols, Albic Podzols, Histic (or Haplic) Gleysols, Endogleyic Stagnosols, Fibric or Hemic or Sapric Histosols and Stagnic Gleysols were all present at the site despite its homogeneous geological bedrock. Overall coefficient of variance (CV) was lower in terrestrial soils compared with (semi-)hydromorphic soils. Overall variance decreased in both soil groups with increasing depth, as did CV differences between the fine (up to 10 m) and the locality scales. The lowest CV values occurred for C ox and pH KCl . The CV values differed between STUs as well. Compared to lower horizons, variograms of upper horizons showed greater autocorrelation at the intermediate spatial scale (10-320 m)-ranging from 50 to 150 m. Semivariance values, however, reached 70-80% of sill already at a distance of 10 m. The most significant factor of variability at all studied spatial scales is presumably the soil disturbance regime, followed by terrain micro-topography and the effect of tree species.

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Section: Spatial Patterns and Processesmentioning

confidence: 97%

Soil variability through spatial scales in a permanently disturbed natural spruce-fir-beech forest

et al. 2011

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“…Wälder et al (2008) successfully studied the influence of litter composition on spatial Of-layer variability by means of structural equation modelling in a mixed forest stand in the intermediate mountain range of the Solling area, Lower Saxony. Several attempts of modelling organic matter variability in forests in correlation with landscape ecological as well as topographical features have been made e.g., by Johnson et al (2009) and Martin and Timmer (2006) amongst others. Comparable investigations into variation and distribution of terrestrial humous horizons, however, have also been carried out in parts of the Central European Lowlands in the context of landscape ecology issues, for example the studies of Bens et al (2006) in the North German Plain.…”

Section: Introductionmentioning

confidence: 99%

Methods of surveying the thickness of humous horizons using ground penetrating radar (GPR): an example from the Garmisch-Partenkirchen area of the Northern Alps

et al. 2011

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Ecological studies commonly demand elaborate knowledge of the distribution pattern of humous horizons, especially in forest ecosystems with high humus variability. Conventional investigative methods are timeconsuming and surface-destructive. Ground penetrating radar (GPR), in contrast, offers a fast and non-destructive method of portraying the shallow subsurface. Against this background, the reliability of GPR-derived metric data on terrestrial humous horizons was tested at a study site in the altimontane zone of the Bavarian Alps (1,260 m a.s.l.). The GPR survey, using a shielded bistatic antenna device at 800 MHz, is based on eight parallel lines within a 30 9 30 m plot. The metric interpretation of the GPR results is validated by a trench, which records the thickness of humous horizons at a 10-cm interval, and is compared to conventional sampling methods, represented by 18 soil monolith profiles of both random and grid-based distribution. The results show that it is not possible to resolve the borders of single humous horizons. The delineation of humous against non-humous horizons, however, shows correlation (R = 0.553) with the reference data and delivers reliable data on the average thickness and variation of humous horizons. The observed thickness deviations between GPR and the trench line range between -9.5 and 7.5 cm, with remarkably narrow deviations of -2 to 2 cm or less in 50% of the cases. In summary, supported by the high number of data records (n = 1,727), GPR creates a much better and none destructive image of the actual humus distribution pattern compared to conventional methods.

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“…The latter two variables showed a good correlation to landscape position, while the A horizon depth did not vary systematically throughout the landscape. Martin and Timmer (2006) studied topsoil and solum depth in a forested area in southern Ontario. However, they reported that the land was used for agriculture in the 18th century.…”

Section: Introductionmentioning

confidence: 99%

Spatial variability of soil horizon depth in natural loess-derived soils

et al. 2010

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Capturing spatial variability of soil and litter properties in a forest stand by landform segmentation procedures

Cited by 30 publications

References 36 publications

Soil variability through spatial scales in a permanently disturbed natural spruce-fir-beech forest

Soil variability through spatial scales in a permanently disturbed natural spruce-fir-beech forest

Methods of surveying the thickness of humous horizons using ground penetrating radar (GPR): an example from the Garmisch-Partenkirchen area of the Northern Alps

Spatial variability of soil horizon depth in natural loess-derived soils

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