Estimation of soil erosion rates in dehesas using the inflection point of holm oaks

Rubio-Delgado, Judit; Schnabel, Susanne; Gutiérrez, Álvaro Gómez; Sánchez-Fernández, Manuel

doi:10.1016/j.catena.2018.03.017

Cited by 10 publications

(15 citation statements)

References 29 publications

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“…The present paper follows previous studies about the estimation of historical soil erosion rates at hillslope scale in the dehesas of southwest Spain by analysing partially exposed roots and the Cs 137 method (Rubio‐Delgado et al , ; Rubio‐Delgado et al , ; Rubio‐Delgado et al , ). These concluded that soil erosion rates showed a continuous increase from the second half of the 19 th century and high spatial variation along the hillslopes.…”

Section: Introductionmentioning

confidence: 77%

“…and a Bw horizon (about 15 cm) covering hard bedrock (R) or in some cases weathered rocks (C). Soil texture is silty loam, bulk density is similar in all the study areas (1.6 g·cm ‐3 ) and organic matter content is low (0.9‐1.2 %) (Rubio‐Delgado et al , ). These properties are similar for both study areas.…”

Section: Study Areasmentioning

confidence: 89%

“…In a previous study (Rubio‐Delgado et al , ), soil erosion rates were estimated below tree canopies and in open areas using the inflection point (IP; i.e. the boundary between the root and the trunk of the tree; Valmore and LaMarche, ) of holm oaks as botanical evidence of soil loss in the study areas.…”

Section: Methodsmentioning

confidence: 99%

“…Tree ages ranged from 35 to 375 years, with an average of 121±53 years ( n =208). P was the hillside with the oldest trees (146±69 years; n =26), followed by B1 (131±49 years; n =131) and B2 that showed the youngest woodland (85±34 years; n =51) (Rubio‐Delgado et al , ). The sum of the different sources of uncertainties (the TLS measuring instrument, the DEM interpolation method, IP height measurement and tree age determination) resulted in a propagated error of ±4.7 t ha −1 y −1 for soil erosion rates.…”

Section: Methodsmentioning

confidence: 99%

“…and pasture. The tree density is 45 trees ha ‐1 in B1, 57 trees ha ‐1 in B2 and 22 trees ha ‐1 in P. Average tree ages were: 146 years in P, 131 years in B1 and 84 years in B2 (Rubio‐Delgado et al , ). Pastures are composed of seasonal therophitic species, reaching maximum growth in spring and autumn.…”

Section: Study Areasmentioning

confidence: 99%

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Temporal and spatial variation of soil erosion in wooded rangelands of southwest Spain

Rubio-Delgado

Schnabel

Gómez‐Gutiérrez

et al. 2019

Earth Surf Processes Landf

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Changes in land use are common in Mediterranean areas and are reported as having produced changes in the intensity of soil erosion. Dehesas are rangelands with a disperse tree cover, widespread in the south-western part of the Iberian Peninsula and similar ecosystems are also common in other areas with a Mediterranean climate. The aim of the present study is to analyse temporal and spatial variations of soil erosion rates estimated along three hillsides, located in two farms (Buitrera and Parapuños) in southwest Spain. To understand the temporal variation, soil erosion rates were studied in light of land use-management changes that took place during the last few centuries. Results indicate very low erosion rates prior to the 18 th century in both farms. In Buitrera, a first increase of soil loss rates was identified during the period 1831-1897, amounting to 7.4 t ha -1 y -1 . A further increase took place during the 20 th century, reaching a mean erosion rate of 29.1 t ha -1 y -1 . In Parapuños, data points to a significant increase from 1881 onwards, with an estimated mean erosion rate of 18.5 t ha -1 y -1 . Those increases were presumably connected with an intensification of land use, such as cultivation and excessive livestock populations. Regarding spatial variation, the bare surface and the erosive power of run-off along the hillsides accounts for 76% of the soil erosion rates dispersion. At a local scale, the variability of erosion rates could not be explained, because of (i) uncertainty related to the micromorphology of the past soil surface and (ii) the role of tillage erosion in the past. However, the results obtained offer valuable data on the temporal and spatial variation of erosion rates in dehesas at the hillslope scale and a similar approach could be used for other rangelands with a disperse tree cover.

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Section: Introductionmentioning

confidence: 77%

Section: Study Areasmentioning

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Study Areasmentioning

confidence: 99%

See 3 more Smart Citations

Temporal and spatial variation of soil erosion in wooded rangelands of southwest Spain

Rubio-Delgado

Schnabel

Gómez‐Gutiérrez

et al. 2019

Earth Surf Processes Landf

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Soil Erosion: The General Problem

Svoray

2022

A Geoinformatics Approach to Water Erosion

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Assessing how Grazing Intensity Affects the Spatial Distribution of Soil Properties

Barrena-González,

Antoneli,

Contador

et al. 2024

Earth Syst Environ

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Grazing activities occupy the largest land surface, making their management crucial for addressing key issues related to the sustainability of agroecosystems. This study seeks to identify the influence of grazing intensity and vegetation cover on the spatial distribution of soil properties in a farm located in a dehesa ecosystem (SW, Spain). To achieve this, 144 soil samples were collected at 0–5 and 5–10 cm depths across six grazing intensity classes (GIC) defined by the current spatial distribution of vegetation canopy. Leveraging 25 environmental covariates, five individual machine learning algorithms (MLAs) and an ensemble model were employed, to predict soil property values. Metrics such as R2, RMSE (root mean square error), and CCC (Lin’s concordance correlation coefficient) were used to determine the best-performing model. The results revealed that high-intensity grazing classes showed higher values of soil nutrients, and SOC (soil organic carbon)than low-intensity grazing classes. Nevertheless, there no significant differencesin areas with shrub and tree canopy cover. Also, the results reveld that different between depth interval were higher in high-intensity class than in low-intensity classes. The study highlights the importance of selecting environmental variables for accurate soil property prediction. The best model depend on soil property selected and depth interval. In conclusion, this studyoffers valuable insights into grazing intensity and vegetation’s influence on soil properties in dehesa ecosystems, guiding future studies in this field.

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Estimation of soil erosion rates in dehesas using the inflection point of holm oaks

Cited by 10 publications

References 29 publications

Temporal and spatial variation of soil erosion in wooded rangelands of southwest Spain

Temporal and spatial variation of soil erosion in wooded rangelands of southwest Spain

Soil Erosion: The General Problem

Assessing how Grazing Intensity Affects the Spatial Distribution of Soil Properties

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