Determining RUSLE P‐ and C‐factors for stone bunds and trenches in rangeland and cropland, North Ethiopia

Taye, Gebeyehu; Vanmaercke, Matthias; Poesen, Jean; Wesemael, Bas van; Tesfaye, Samuale; Teka, Daniel; Nyssen, Jan; Deckers, Jozef; Haregeweyn, Nigussie

doi:10.1002/ldr.2814

Cited by 45 publications

(36 citation statements)

References 49 publications

(143 reference statements)

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“…Subhatu et al (2018) used a similar approach for evaluating the efficiency of fanya juu bunds on water and tillage erosion in Ethiopia. Taye et al (2018) also focused on Ethiopia, assessing the effectiveness of soil water conservation measures by plot monitoring in semi‐arid range lands and croplands. They provided time‐varying cover‐management and conservation practice factors (C and P) of the Revised Universal Soil Loss Equation (RUSLE), commonly applied in erosion‐related analyses.…”

Section: Timeliness and Relevance Of The Issuementioning

confidence: 99%

GUEST EDITORIAL—SPECIAL ISSUE: Mapping and modelling soil erosion to address societal challenges in a changing world

et al. 2019

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Special issue Mapping and Modelling Soil Erosion to Address Societal Challenges in a Changing World presents advances in interdisciplinary methodologies for the study of the soil erosion/land management/climate change nexus, with a focus on societal challenges linked to land degradation. Contribution of 22 research teams active in 17 countries all over the world provided a global perspective on how soil erosion research contributes to meet societal challenges of our time. The authors conclude that (a) inclusive representation of non-linear system feedback between erosion and land management; (b) combination of mapping, measuring, monitoring, and modelling methods on different temporal and spatial scales; and (c) inclusive, cooperative interdisciplinary research approaches are inevitable to support management aiming for land degradation neutrality. 1 SOIL EROSION RESEARCH IN A CHANGING WORLD Land degradation, as part of the coupled natural and human system, leads to the reduction of biophysical, sociocultural, and economic functions of the ecosystem. Moreover, it is acknowledged that even regional land degradation has global consequences (

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Section: Timeliness and Relevance Of The Issuementioning

confidence: 99%

GUEST EDITORIAL—SPECIAL ISSUE: Mapping and modelling soil erosion to address societal challenges in a changing world

et al. 2019

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“…The revised version of the Universal Soil Loss Equation, that is, RUSLE (Galdino et al, ), was used to calculate the total amount of soil retention ( B ):

B = R \cdot K \cdot L \cdot S \cdot ((), 1 - C) \cdot P,

where R is the rainfall erosivity factor, calculated using Wischmeier's empirical formula (B. Fu et al, ); K is the soil erodibility factor, calculated by the K ‐value estimation method proposed in the EPIC model (Polyakov, Fares, Kubo, Jacobi, & Smith, ); L is the slope length factor, calculated by an empirical formula that combines horizontal slope length and slope length index (Kinnell, ); S is the slope steepness factor, calculated according to McCool's classic slope formula based on the gradient (Nakil & Khire, ); C is the crop management factor, obtained by the vegetation coverage, which can be calculated from the average annual normalized difference vegetation index; and P is the support practice factor. Referring to previous studies, the P value of various types of land cover was determined (Panagos et al, ; Taye et al, ).…”

Section: Methodsmentioning

confidence: 99%

Spatial identification of conservation priority areas for urban ecological land: An approach based on water ecosystem services

et al. 2019

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How to effectively prevent land degradation and ecosystem deterioration in the process of urbanization has been the focus of land degradation researches in urban areas. Urban ecological land can be defined as the natural base on which a city relies to ecologically survive. It closely links the social economy with the natural eco‐environment, providing an important integrated approach to resolve the contradiction between urban expansion and natural ecosystems conservation in the process of urbanization. The research question addressed in this study is how to accurately identify the conservation priority areas for urban ecological land. Taking Zhuhai City, located in China, as an example, an approach based on seven kinds of water ecosystem services was put forward, combining social demand and natural supply for the services to determine service targets and conservation priority areas. The results showed that the conservation priority areas in Zhuhai City covered 868 km2, accounting for 51.03% of the total land area, which were mainly covered by woodlands or paddy fields and fish ponds. In addition, by synthesizing ecological importance and ecological sensitivity, management zones for urban ecological land were delineated, including 510 km2 of primary control areas and 358 km2 of secondary control areas. In the supply and demand view of water ecosystem services, this study put forward an integrated ecosystem‐based approach for conservation priority area identification of urban ecological land, aiming to prevent land degradation and achieve urban ecological sustainability.

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“…stone bunds, soil trenches and grassed lynchets) are widely implemented across Ethiopia (e.g. Haregeweyn et al, 2015;Taye et al 2013Taye et al , 2018, no comprehensive spatial databases of these measures exist. However, since they are mainly implemented on cropland, it was expected that this variable could provide an indication on the potential effect of conservation structures on gully head development (e.g.…”

Section: Considered Predictor Variablesmentioning

confidence: 99%

Predicting gully densities at sub‐continental scales: a case study for the Horn of Africa

Vanmaercke

Chen

Haregeweyn

et al. 2020

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Despite its environmental and scientific significance, predicting gully erosion remains problematic. This is especially so in strongly contrasting and degraded regions such as the Horn of Africa. Machine learning algorithms such as random forests (RF) offer great potential to deal with the complex, often non‐linear, nature of factors controlling gully erosion. Nonetheless, their applicability at regional to continental scales remains largely untested. Moreover, such algorithms require large amounts of observations for model training and testing. Collecting such data remains an important bottleneck. Here we help to address these gaps by developing and testing a methodology to simulate gully densities across Ethiopia, Eritrea and Djibouti (total area: 1.2 million km2). We propose a methodology to quickly assess the gully head density (GHD) for representative 1 km2 study sites by visually scoring the presence of gullies in Google Earth and then converting these scores to realistic estimates of GHD. Based on this approach, we compiled GHD observations for 1,700 sites. We used these data to train sets of RF regression models that simulate GHD at a 1 km2 resolution, based on topographic/geomorphic, land cover, soil and rainfall conditions. Our approach also accounts for uncertainties in GHD observations. Independent validations showed generally acceptable simulations of regional GHD patterns. We further show that: (i) model performance strongly depends on the amount of training data used, (ii) large prediction errors mainly occur in areas where also the predicted uncertainty is large and (iii) collecting additional training data for these areas results in more drastic model performance improvements. Analyses of the feature importance of predictor variables further showed that patterns of GHD across the Horn of Africa strongly depend on NDVI and annual rainfall, but also on normalized steepness index (ksn) and distance to rivers. Overall, our work opens promising perspectives to assess gully densities at continental scales. © 2020 John Wiley & Sons, Ltd.

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Determining RUSLE P‐ and C‐factors for stone bunds and trenches in rangeland and cropland, North Ethiopia

Cited by 45 publications

References 49 publications

GUEST EDITORIAL—SPECIAL ISSUE: Mapping and modelling soil erosion to address societal challenges in a changing world

GUEST EDITORIAL—SPECIAL ISSUE: Mapping and modelling soil erosion to address societal challenges in a changing world

Spatial identification of conservation priority areas for urban ecological land: An approach based on water ecosystem services

Predicting gully densities at sub‐continental scales: a case study for the Horn of Africa

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