Effects of topography and forest stand dynamics on soil morphology in three natural Picea abies mountain forests

Valtera, Martin; Šamonil, Pavel; Svoboda, Miroslav; Janda, Pavel

doi:10.1007/s11104-015-2442-4

Cited by 24 publications

(12 citation statements)

References 44 publications

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“…Other studies at this scale show divergent pedogenesis associated with dynamical instabilities in topographic/soil coevolution, vertical translocation processes, and persistence of pedological impacts of disturbances (Ibanez et al 1994;Schaetzl et al 2006;Toomanian et al 2006;Samonil et al 2014Samonil et al , 2015Valtera et al 2015). Some pedon-scale studies also show dynamically unstable trends toward increasing variability (Phillips 2000(Phillips , 2001bMontagne et al 2013) that imply non-convergent development at broader scales.…”

Section: Pedologymentioning

confidence: 92%

Complexity of Earth Surface System Evolutionary Pathways

Phillips

2016

Math Geosci

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Evolution of Earth surface systems (ESS) comprises sequential transitions between system states. Treating these as directed graphs, algebraic graph theory was used to quantify complexity of archetypal structures, and empirical examples of forest succession and alluvial river channel change. Spectral radius measures structural complexity and is highest for fully connected, lowest for linear sequential and cyclic graphs, and intermediate for divergent and convergent patterns. The irregularity index β represents the extent to which a subgraph is representative of the full graph. Fully connected graphs have β = 1. Lower values are found in linear and cycle patterns, while higher values, such as those of divergent and convergent patterns, are due to a few highly connected nodes. Algebraic connectivity (μ(G)) indicates inferential synchronization and is inversely related to historical contingency. Highest values are associated with fully connected and strongly connected mesh graphs, whereas forking structures and linear sequences all have μ(G) = 1, with cycles slightly higher. Diverging vs. converging graphs of the same size and topology have no differences with respect to graph complexity, so complexity change is dependent on whether development results in increased or reduced richness. Convergent-divergent mode switching, however, would generally increase ESS complexity, decrease irregularity, and increase algebraic connectivity. As ESS and associated graphs evolve, none of the possible trends reduces complexity, which can only remain constant or increase. Algebraic connectivity may increase, however. As improving shortcomings in ESS 123 Math Geosci evolution models generally result in elaborating possible state changes, this produces more structurally complex but less historically contingent models.

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Section: Pedologymentioning

confidence: 92%

Complexity of Earth Surface System Evolutionary Pathways

Phillips

2016

Math Geosci

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“…While soils in the treeline ecotone and in the adjacent lower alpine zone (i.e., potential treeline) have developed with the limits set by the general elevational gradients of temperature and precipitation, they vary considerably depending on the local parent material, substrate (physical and chemical properties), vegetation, and on climate history (e.g., [51,[59][60][61][62]). Thus, a locally varying mosaic of soils (soil types) is typical of the treeline ecotone, whereas no real treeline-specific soils exist [5].…”

Section: Treeline At Landscape (Regional) Local and Microscalesmentioning

confidence: 99%

Treelines—Approaches at Different Scales

Holtmeier

Broll

2017

Sustainability

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Scales in treeline research depend on the objectives and must match the underlying natural processes. Factors and processes at one scale may not be as important at another scale. In the global view, the number of factors influencing climatic treeline position can be reduced to the effects of heat deficiency. Emphasis, however, should be laid on differentiation of the treeline by their regionally and locally varying physiognomy, diversity, spatial and temporal features, and heterogeneity. An assessment of the relative importance of the factors shaping regional/local treeline physiognomy, spatial patterns, and dynamics should have priority. This can be achieved only by syndisciplinary research. Such studies are indispensable for assessing treeline response to climate change at the regional and landscape scales.

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“…In general, a suitable environment for organisms is mainly defined by soil physical and chemical properties [55]. However, in general, soils may act at different spatial and temporal scales and change vegetation [56], their attributes together with other habitat and microhabitat characteristics play an important role in biology communities [3]. Moreover, MR and WT fluctuations influence soil physical and chemical characteristic that can play an important role in vegetation dynamics, especially in coastal areas with silty loam saline soils.…”

Section: Discussionmentioning

confidence: 99%

Effect of microrelief and water-table on vegetation dynamics in silty loam saline soils of coastal areas

et al. 2021

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Microrelief (MR) and water-table (WT) severely influence plant communities formation and development in silty loam saline soils of coastal areas. This research aimed to investigate the effect of MR and WT fluctuations on the dynamics of vegetation in coastal silty loam saline soils of southern Iran. Soil characteristics, vegetation structure and composition were investigated through the growing season, and obtained data were submitted to a canonical correspondence analysis. Based on the results, MR (min = 0.5 m and max = 1.0 m) and WT (max = 1 m) fluctuations significantly changed both structure and floristic composition through change in soil characteristics (Sig. < 0.05). Factors of soil moisture content, SAR and Na severely changed under MR and WT fluctuations and received new eigenvalues through the year. Our results demonstrated that a minimum change in MR and/or WT influence soil properties and vegetation structure and composition in silty loam saline soils of coastal areas.

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Effects of topography and forest stand dynamics on soil morphology in three natural Picea abies mountain forests

Cited by 24 publications

References 44 publications

Complexity of Earth Surface System Evolutionary Pathways

Complexity of Earth Surface System Evolutionary Pathways

Treelines—Approaches at Different Scales

Effect of microrelief and water-table on vegetation dynamics in silty loam saline soils of coastal areas

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