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Modeling spatial patterns of humus forms in montane and subalpine forests

  • Humus forms are a distinctive morphological indicator of soil organic matter decomposition. The spatial distribution of humus forms depends on environmental factors such as topography, climate and vegetation. In montane and subalpine forests, environmental influences show a high spatial heterogeneity, which is reflected by a high spatial variability of humus forms. This study aims at examining spatial patterns of humus forms and their dependence on the spatial scale in a high mountain forest environment (Val di Sole/Val di Rabbi, Trentino, Italian Alps). On the basis of the distributions of environmental covariates across the study area, we described humus forms at the local scale (six sampling sites), slope scale (60 sampling sites) and landscape scale (30 additional sampling sites). The local variability of humus forms was analyzed with regard to the ground cover type. At the slope and landscape scale, spatial patterns of humus forms were modeled applying random forests and ordinary kriging of the model residuals. The resultsHumus forms are a distinctive morphological indicator of soil organic matter decomposition. The spatial distribution of humus forms depends on environmental factors such as topography, climate and vegetation. In montane and subalpine forests, environmental influences show a high spatial heterogeneity, which is reflected by a high spatial variability of humus forms. This study aims at examining spatial patterns of humus forms and their dependence on the spatial scale in a high mountain forest environment (Val di Sole/Val di Rabbi, Trentino, Italian Alps). On the basis of the distributions of environmental covariates across the study area, we described humus forms at the local scale (six sampling sites), slope scale (60 sampling sites) and landscape scale (30 additional sampling sites). The local variability of humus forms was analyzed with regard to the ground cover type. At the slope and landscape scale, spatial patterns of humus forms were modeled applying random forests and ordinary kriging of the model residuals. The results indicate that the occurrence of the humus form classes Mull, Mullmoder, Moder, Amphi and Eroded Moder generally depends on the topographical position. Local-scale patterns are mostly related to micro-topography (local accumulation and erosion sites) and ground cover, whereas slope-scale patterns are mainly connected with slope exposure and elevation. Patterns at the landscape scale show a rather irregular distribution, as spatial models at this scale do not account for local to slope-scale variations of humus forms. Moreover, models at the slope scale perform distinctly better than at the landscape scale. In conclusion, the results of this study highlight that landscape-scale predictions of humus forms should be accompanied by local- and slope-scale studies in order to enhance the general understanding of humus form patterns.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Niels HellwigORCiD, Dylan TattiORCiDGND, Giacomo Sartori, Kerstin AnschlagGND, Ulfert Graefe, Markus EgliORCiDGND, Jean-Michel GobatORCiDGND, Gabriele BrollGND
DOI:https://doi.org/10.3390/su11010048
ISSN:2071-1050
Titel des übergeordneten Werks (Englisch):Sustainability
Untertitel (Englisch):implications of local variability for upscaling
Verlag:MDPI
Verlagsort:Basel
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:21.12.2018
Erscheinungsjahr:2018
Datum der Freischaltung:25.05.2021
Freies Schlagwort / Tag:Italian Alps; forest soils; multi-scale analysis; random forest; soil organic matter decomposition; spatial modeling
Band:11
Ausgabe:1
Seitenanzahl:15
Fördernde Institution:German Research Foundation (DFG)German Research Foundation (DFG) [BR 1106/23-1]; Swiss National Science Foundation (SNF)Swiss National Science Foundation (SNSF) [205321L_141186]; Austrian Science Fund (FWF)Austrian Science Fund (FWF)
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 69 Hausbau, Bauhandwerk / 690 Hausbau, Bauhandwerk
Peer Review:Referiert
Publikationsweg:Open Access / Gold Open-Access
DOAJ gelistet
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
Externe Anmerkung:Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 1128
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