Soil erosion rates in two karst peak-cluster depression basins of northwest Guangxi, China: Comparison of the RUSLE model with 137Cs measurements

Feng, Teng; Chen, H.; Polyakov, Viktor O.; Wang, Kelin; Zhang, Xinbao; Zhang, Wei

doi:10.1016/j.geomorph.2015.10.013

Cited by 107 publications

(49 citation statements)

References 31 publications

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“…Under similar conditions, the dissolution rates of limestone are 3–60 times greater than those of dolomite [ Liu et al , ]. On the other hand, the erosion rates in cropland and grassland are much greater than those in the forests in our studied region [ Chen et al , ; Feng et al , ]. For example, the averaged soil erosion rates were 1.15, 0.59, 0.08, and 0.06 Mg ha −1 yr −1 , respectively, for cropland, grassland, shrubland, and secondary forest in two catchments [ Feng et al , ].…”

Section: Discussionmentioning

confidence: 87%

“…On the other hand, the erosion rates in cropland and grassland are much greater than those in the forests in our studied region [ Chen et al , ; Feng et al , ]. For example, the averaged soil erosion rates were 1.15, 0.59, 0.08, and 0.06 Mg ha −1 yr −1 , respectively, for cropland, grassland, shrubland, and secondary forest in two catchments [ Feng et al , ]. In addition, heavy fertilization and crop biomass harvest could further lead to depletion of exchangeable Ca pool in the cropland either via leaching of Ca along with nitrate or via biomass harvesting [ Guo et al , ].…”

Section: Discussionmentioning

confidence: 99%

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Dynamics of soil organic carbon and nitrogen following agricultural abandonment in a karst region

Wen

Yang

et al. 2017

JGR Biogeosciences

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Agricultural abandonment is regarded as a major driver of soil organic carbon (C) dynamics, but the mechanisms underlying the direction and magnitude of soil C dynamics following agricultural abandonment are poorly understood. Here dynamics of soil C and N contents during postagricultural succession were investigated in areas underlain by dolomite or limestone by using a space‐for‐time substitution approach in a karst region, southwest China. One hundred twenty‐five sites from cropland, grassland, shrubland, and secondary forest were selected to represent different succession stages. Overall, soil C and N contents were greater (P < 0.05) over limestone than over dolomite mainly due to significantly greater contents of soil C and N in the cropland and grassland underlain by limestone. Both soil C and N contents were lowest in the cropland while highest in the forest. Further analysis indicated that the patterns of soil C and N dynamics differed between the two lithology types. Soil C and N contents increased significantly from cropland to forest over dolomite, while varied insignificantly among succession stages over limestone. Exchangeable calcium explained most of soil C and N variance. We proposed that higher dissolution rate of limestone could replenish the lost calcium so that the calcium levels, and in turn soil C and N contents, were stable from the cropland to the forest. Nevertheless, due to relatively low dissolution rate for dolomite, the calcium level was depleted in the cropland. Following agricultural abandonment, calcium level recovered due to decreased loss, which in turn resulted in recovery of soil C and N.

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Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Dynamics of soil organic carbon and nitrogen following agricultural abandonment in a karst region

Wen

Yang

et al. 2017

JGR Biogeosciences

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“…Zhang et al, 2013;Feng et al, 2016;Chen et al, 2017, Dai et al, 2017Zhang et al, 2017). Protiargument bi seveda lahko bil, da je izostanek površinskih vodnih tokov na kraških območjih logičen in pričakovan, a je kljub temu treba upoštevati, da na strmejših pobočjih površinski odtok vode obstaja, pa čeprav na krajše razdalje in da večina tega ponikne v tla.…”

Section: Metodologijaunclassified

“…Izračun vrednosti dejavnikov v modelu RU-SLE z uporabo GIS-sov so dokazali številni avtorji (Desmet & Govers, 1996;Fu et al, 2005;Lim et al, 2005;LópeZ-Vicente et al, 2008;Zhang et al, 2013;Feng et al, 2016;Chen et al, 2017, Dai et al, 2017Zhang et al, 2017), zato je bil enak pristop izbran tudi za izdelavo modela (karte) erozivnosti na območju občine Bohinj, ki temelji na metodi RUSLE z dodanim korakom, ki upošteva tudi erozijo v strugah. Shema postopka izdelave modela (karte) je prikazana na sliki 2.…”

Section: Metodologijaunclassified

“…Zhang et al (2013) navajajo, da je v tem primeru ocena z modelom RUSLE pomanjkljiva in jo je zato treba dopolniti z modelom, ki upošteva tudi vpliv strug in ukrivljenosti terena. Feng et al (2016) pa ugotavljajo, da je treba za dosego realnih rezultatov v goratih predelih del modela RUSLE, ki opisuje naklon in dolžino pobočja, umeriti. Dai et al (2017) in Zhang et al (2017) na-vajajo, da lahko predstavljajo kraška območja velik izziv pri modeliranju površinskih pojavov kot posledica vode zaradi prisotnosti zaprtih depresij, kot so vrtače in uvale.…”

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Upgrade of the surface erosion model with the channel erosion areas – the Bohinj municipality case-study

Komac¹,

Pavlič²

2017

Geologija

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IzvlečekErozija predstavlja pomemben eksogeni proces, ki je prisoten na skoraj vsakem delu Zemljinega površja in tudi slovensko ozemlje ni izjema. Stopnja erozije je močno odvisna od dejavnikov, vezanih na lastnosti površine kot so tip rabe tal, tip vegetacijskega pokrova in geomorfologija ter od dejavnikov, vezanih na podnebje kot sta padavinski režim in nihanja temperature. Prispevek obsega modeliranje mehanske erozije in transport delcev po površju s pomočjo vode, cilj pa je bil združiti splošno uveljavljeno metodologijo RUSLE, ki učinkovito modelira ploskovno erozijo z metodo ocene stopnje podvrženosti eroziji v strugah. Združeni metodi uspešno modelirata erozijo v izrazito goratih in kraških območjih. Za testno območje je bilo izbrano območje občine Bohinj, kjer so zaradi geomorfološke razgibanosti terena prisotni številni naravni površinski procesi, idealno za razvoj združenega modela erozijski h območij. AbstractErosion is an important exogene process that can be found on almost all surfaces around the globe and Slovenian territory is no exception to the rule. The extent of the erosion is a result of various factors linked to the surface properties, such as land use type, vegetation type, and geomorphology and of the factors linked to the climate, such as the precipitation regime and the temperature oscilation. The paper focuses on the modelling of the mechanical erosion and the surface transport of particles due to surficial waters. The aim of the research was to combine the RUSLE surface erosion method with a model of gully erosion. The combined approach successfuly models the erosion in the mountainous and karst areas. Due to its vivid geomorphology that results in various natural surface proceses the area of Bohinj municipality was chosen as an ideal case study for testing the joint methodology. Uvod V znanostih, ki se ukvarjajo s procesi na Zemljinem površju, predstavlja erozija površin-ske procese, pri katerih pride s pomočjo delovanja vode ali vetra do mehanskega prenosa trdnih delcev kamnin ali tal, ali kemičnega prenosa raztopin z ene lokacije na drugo (Toy et al., 2002). Erozijski procesi se glede na vzrok in način transporta delcev delijo na ploskovno, rečno, obalno, kemično, ledeniško, poplavno in vetrno erozijo ter pobočne masne premike (Zachar, 1982;Toy et al., 2002). Prisotnost številnih strug na območju ocene stopnje erozivnosti, predstavlja za kvaliteno oceno le-te z modelom RUSLE precejšni izziv.

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Variation in soil erosion rate under typical land uses and vertical zones in an agricultural catchment of the Daliangshan region, Southwest China

Wu,

Yuan,

Xiong

et al. 2024

Earth Surf Processes Landf

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The Daliangshan region (DLS) is characterized by significant vertical differentiation in human activity and land use owing to the high elevation gradient, which may affect the soil erosion pattern in the vertical direction. However, the spatial variability of soil erosion rates along a hillslope at the catchment scale remains poorly understood. In this study, we used the cesium‐137 tracer technique to estimate soil erosion rates under different land uses and vertical zones from a small agricultural catchment, the Luowugou catchment in the DLS. Ten plots comprising four typical vertical zones (valley, low mountain, middle mountain and sub‐alpine) and five land‐use types (sloping farmland, grassland, abandoned farmland, forest land and horizontal terrace) were selected. In addition, two parallel downslope transects were built in each plot, and soil samples were collected at 3–7 m intervals along these transects. The results indicated that the soil erosion rates on sloping farmland (4.82 kg·m−2·y−1) and grassland (4.09 kg·m−2·y−1) were significantly higher than those on abandoned farmland (0.91 kg·m−2·y−1) and forest land (0.80 kg·m−2·y−1). In contrast, the horizontal terrace showed net deposition, with a deposition rate of 0.62 kg·m−2·y−1. The erosion rates varied across different zones, with the low mountain zone having the highest erosion rate (5.65 kg·m−2·y−1), followed by the middle mountain (2.96 kg·m−2·y−1) and subalpine (1.46 kg·m−2·y−1) zones, and the valley zone having the lowest erosion rate (1.28 kg·m−2·y−1). Furthermore, there were significant correlations (P < 0.05) between the soil erosion rates from different vertical zones and the proportion of sloping farmland, implying that sloping farmland plays a dominant role in shaping soil erosion along a vertical gradient. These comparisons suggest that the highest soil erosion rate occurred in the low mountain zone, indicating that the steeply sloping farmlands, resulting from migration from high‐altitude areas, have intensified soil erosion in the vertical zone. These findings highlight the role of agricultural activities originating from sloping farmlands in influencing soil erosion across different vertical zones, which has important implications for mitigating soil erosion and optimizing agricultural layout in the region.

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Soil erosion rates in two karst peak-cluster depression basins of northwest Guangxi, China: Comparison of the RUSLE model with 137Cs measurements

Cited by 107 publications

References 31 publications

Dynamics of soil organic carbon and nitrogen following agricultural abandonment in a karst region

Dynamics of soil organic carbon and nitrogen following agricultural abandonment in a karst region

Upgrade of the surface erosion model with the channel erosion areas – the Bohinj municipality case-study

Variation in soil erosion rate under typical land uses and vertical zones in an agricultural catchment of the Daliangshan region, Southwest China

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