Assessing Gully Erosion Occurrence in Forest Lands in Catalonia (Spain)

Selkimäki, Mari

doi:10.1002/ldr.2533

Cited by 33 publications

(19 citation statements)

References 78 publications

(147 reference statements)

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“…To this aim, different statistical techniques have been used, including logistic regression (e.g. Dewitte et al ., ; Meyer & Martínez‐Casasnovas, ; Selkimäki & González‐Olabarria, ), classification and regression trees (e.g. Gómez‐Gutiérrez et al, ; Jurchescu & Grecu, ), multivariate adaptive regression splines (MARS; Gómez‐Gutiérrez et al ., , , ), conditional analysis (e.g.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

et al. 2017

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In this work, we assessed gully erosion susceptibility in two adjacent cultivated catchments of Sicily (Italy) by employing multivariate adaptive regression splines and a set of geo‐environmental variables. To explore the influence of hydrological connectivity on gully occurrence, we measured the changes of performance occurred when adding one by one nine predictors reflecting terrain connectivity to a base model that included contributing area and slope gradient. Receiver operating characteristic (ROC) curves and the area under the ROC curve were used to evaluate model performance. Gully predictive models were trained in both the catchments and submitted to internal (in the calibration catchment) and external (in the adjacent one) validation, using samples extracted both from all cells of the catchments and only from cells located along flow concentration axes. Model evaluation on the entire catchments shows outstanding predictive performance of models that either include or do not include the predictors selected to reflect potential hydrological connectivity. Conversely, area under the ROC curve values measured on flow concentration axes reveals that almost all the additional predictors improve the performance of the base model, but the most enhanced increase of accuracy occurs when upstream drainage density of each landscape position is included as predictor of gully occurrence. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

et al. 2017

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“…Worldwide, gully erosion is the most severe form of soil erosion [1][2][3][4][5]. In Ethiopia, soil losses in watersheds with valley bottom gullies are in the range of 40 to 540 Mg ha −1 a −1 , which is equivalent to an annual soil loss of 100 to 1350 tons/acre [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Practices for Controlling Shallow Valley-Bottom Gullies in the Sub-Humid Ethiopian Highlands

Addisie

Langendoen

Aynalem

et al. 2018

Water

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Abstract:Rehabilitation of large valley bottom gullies in developing countries is hampered by high cost. Stopping head cuts at the time of initiation will prevent large gullies from forming and is affordable. However, research on practices to control shallow gully heads with local materials is limited. The objective of this research was therefore to identify cost-effective shallow gully head stabilization practices. The four-year study was conducted on 14 shallow gullies (<3 m deep) in the central Ethiopian highlands. Six gullies were used as a control. Heads in the remaining eight gullies were regraded to a 1:1 slope. Additional practices implemented were adding either riprap or vegetation or both on the regraded heads and stabilizing the gully bed downstream. Gully heads were enclosed by fencing to prohibit cattle access to the planted vegetation. The median yearly head retreat of the control gullies was 3.6 m a −1 with a maximum of 23 m a −1 . Vegetative treatments without riprap prevented gully incision by trapping sediments but did not stop the upslope retreat. The gully heads protected by riprap did not erode. Regrading the slope and adding riprap was most effective in controlling gully head retreat, and with hay grown on the fenced-in areas around the practice, it was profitable for farmers.

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“…The most effective and sustainable means of minimizing soil erosion in situ and siltation of reservoirs ex situ is the use of vegetation strengthened with physical soil and water conservation structures (Gyssels & Poesen, 2003;Nyssen et al, 2009;Palazón et al, 2014;Ferreira et al, 2015;Taye et al, 2015). But the suitability and effectiveness of plants to stabilize slopes are strongly species and site dependent (Abernethy & Rutherfurd, 2000;Reubens et al, 2011;Ola et al, 2015;Selkimäki & González-Olabarria, 2016), which requires profound knowledge of species traits and their interaction with site characteristics.…”

Section: Introductionmentioning

confidence: 99%

Multi‐criteria‐based Plant Species Selection for Gully and Riverbank Stabilization in a Sub‐humid Tropical Area

et al. 2017

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Selection of appropriate plant species for rehabilitation of degraded lands while fulfilling socio‐economic interests of local communities is one of the decision‐making challenges. This research was undertaken to select multipurpose trees, shrubs and grasses to stabilize degraded lands in the Gilgel Gibe catchment of Southwest Ethiopia, situated in the sub‐humid tropics. Two multi‐criteria decision analysis methods, analytical hierarchy process and simple multi‐attribute rating technique, integrated in the excel‐based multi‐criteria tree selection tool, were used. Focus group discussions were held with experts and local communities to prioritize 40 plant species from a preselected regional pool of 129 species, using six criteria groups containing 47 individual criteria. Root characteristics of the top 9 ranked plants were studied for triangulating the multi‐criteria decision analysis results. Both local communities and experts gave priority to indigenous trees over shrubs and grasses as the best five species for multipurpose use, whereas the top 5 species prioritized for riverbank stabilization contained both trees and grasses. In contrast, communities preferred indigenous trees, and experts selected grasses as the best five species for gully stabilization. The root system characterization revealed that the five top‐ranked multipurpose species also have the required root characteristics for effectively reinforcing unstable slopes. However, communities prefer to plant Eucalyptus and Grevillea trees because of their short‐term economic benefits although they understood the multipurpose value of indigenous plants. The trade‐off between direct economic benefit and multipurpose benefits could be solved by awareness creation, incentives to communities and policy re‐enforcement. Copyright © 2017 John Wiley & Sons, Ltd.

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Assessing Gully Erosion Occurrence in Forest Lands in Catalonia (Spain)

Cited by 33 publications

References 78 publications

Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

Assessment of Practices for Controlling Shallow Valley-Bottom Gullies in the Sub-Humid Ethiopian Highlands

Multi‐criteria‐based Plant Species Selection for Gully and Riverbank Stabilization in a Sub‐humid Tropical Area

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