Effects of land use changes on soil erosion in a fast developing area

Li, L.; Wang, Yunpeng; Liu, C.

doi:10.1007/s13762-013-0341-x

Cited by 55 publications

(36 citation statements)

References 16 publications

(10 reference statements)

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“…Erosion was most serious in dry farmland and the lightest in paddy field and conservation practices should be taken in these areas. Li et al (2013) resulted that forest and wasteland land conversions induce substantial soil erosion, while transition from wasteland to forest retards soil loss. Analyzing the soil erosion of each land-use it was obtained the following land use erosion vulnerability: Olive orchard>Vineyard>Montado>Alfalfa.…”

Section: Introductionmentioning

confidence: 99%

Optimizing land use pattern to reduce soil erosion

Sokouti

Nikkami

2017

Eurasian Journal of Soil Science (Ejss)

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Article Info Received : 14.05.2016 Accepted : 26.08.2016 Soil erosion hazard is one of the main problems can affect ecological balance in watersheds. This study aimed to determine the optimal use of land to reduce erosion and increase the resident's income of Qushchi watershed in West Azerbaijan province, Iran. Income and expenses for the current land uses were calculated with field studies. Damages resulting from the soil erosion were estimated by soil depth equal to the specified land uses. For three different options including the current status of land uses without and with land management, and the standard status of land uses, multiobjective linear programming model was established by LINGO software. Then the optimization problem of the land use was solved by simplex method. Finally, the best option of land use was determined by comparing erosion rate and its cost in each scenario. Then the circumstances and the recommended conditions were compared. The results indicated that the current surface area of current land uses is not suitable to reduce erosion and increase income of residents and should change in the optimum conditions. At the optimum level, there should change horticulture area of 408 to 507 (ha), irrigated land area of 169 to 136 (ha) and dry farming of 636 to 570 (ha), while conversion of rangeland area not indispensable. In addition, the results showed that in case of the optimization of land use, soil erosion and the profitability of the whole area will decrease 0.75% and increase 3.68%, respectively. In case of land management practices, soil erosion will decrease 42.27% and the profitability increase 21.39% while in the standard conditions, soil erosion will decrease 60.95% and profitability will increase 24.20%. The results of the sensitivity analysis showed that the changes in the horticulture and range land areas have the greatest impact on the increasing profitability and reducing soil erosion of Qushchi watershed. So, it is recommended using Education and Extension to promote the importance of land management to understand how proper use of the land.

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Section: Introductionmentioning

confidence: 99%

Optimizing land use pattern to reduce soil erosion

Sokouti

Nikkami

2017

Eurasian Journal of Soil Science (Ejss)

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“…Portugal (Ferreira and Panagopoulos, 2014); China (Li et al, 2014); European Union (Panagos et al, 2014) 2 Williams and Renard (1983) as Philippines (David, 1988;Hernandez et al, 2012) 4…”

Section: Slope Length (L) and Steepness (S) Factormentioning

confidence: 99%

“…Tables 8 and 9 give a broad overview of C factors for different cover types and common crops. Wischmeier and Smith (1987) also in- : angle of slope m: dependent on the slope -0.5 if slope > 5 % -0.4 if slope is between 3.5 % and 4.5 % -0.3 if slope is between 1 % and 3 % -0.2 if slope is less than 1 % Thailand (Eiumnoh, 2000;Merritt et al, 2004); Vanuatu (Dumas and Fossey, 2009) (Schmitt, 2009); China (Li et al, 2014); Thailand (Nontananandh and Changnoi, 2012); Turkey (Ozsoy et al, 2012) 3 David (1988), based on work by Madarcos (1985) and Smith and Whitt (1947) Philippines, but based on work from the USA Slope rise in percent…”

Section: Cover and Management Factor (C)mentioning

confidence: 99%

“…Average observations based on occasional grab samples of sediment in streams may not well represent the monthly to annual sediment loads the (R)USLE is attempting to estimate. In another example, López-Vicente et al (2008) compared observed to modelled values and had a ratio of modelled to observed soil loss of 0.62. However, the "observed" soil loss was based on 137 Cs measurements that were indicative of average soil loss values for the past 40 years, while the model values were based on 1997-2006 driving data.…”

Section: Limitations Of (R)uslementioning

confidence: 99%

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A review of the (Revised) Universal Soil Loss Equation ((R)USLE): with a view to increasing its global applicability and improving soil loss estimates

Benavidez

Jackson

Maxwell

et al. 2018

Hydrol. Earth Syst. Sci.

324

169

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Abstract. Soil erosion is a major problem around the world because of its effects on soil productivity, nutrient loss, siltation in water bodies, and degradation of water quality. By understanding the driving forces behind soil erosion, we can more easily identify erosion-prone areas within a landscape to address the problem strategically. Soil erosion models have been used to assist in this task. One of the most commonly used soil erosion models is the Universal Soil Loss Equation (USLE) and its family of models: the Revised Universal Soil Loss Equation (RUSLE), the Revised Universal Soil Loss Equation version 2 (RUSLE2), and the Modified Universal Soil Loss Equation (MUSLE). This paper reviews the different sub-factors of USLE and RUSLE, and analyses how different studies around the world have adapted the equations to local conditions. We compiled these studies and equations to serve as a reference for other researchers working with (R)USLE and related approaches. Within each sub-factor section, the strengths and limitations of the different equations are discussed, and guidance is given as to which equations may be most appropriate for particular climate types, spatial resolution, and temporal scale. We investigate some of the limitations of existing (R)USLE formulations, such as uncertainty issues given the simple empirical nature of the model and many of its sub-components; uncertainty issues around data availability; and its inability to account for soil loss from gully erosion, mass wasting events, or predicting potential sediment yields to streams. Recommendations on how to overcome some of the uncertainties associated with the model are given. Several key future directions to refine it are outlined: e.g. incorporating soil loss from other types of soil erosion, estimating soil loss at sub-annual temporal scales, and compiling consistent units for the future literature to reduce confusion and errors caused by mismatching units. The potential of combining (R)USLE with the Compound Topographic Index (CTI) and sediment delivery ratio (SDR) to account for gully erosion and sediment yield to streams respectively is discussed. Overall, the aim of this paper is to review the (R)USLE and its sub-factors, and to elucidate the caveats, limitations, and recommendations for future applications of these soil erosion models. We hope these recommendations will help researchers more robustly apply (R)USLE in a range of geoclimatic regions with varying data availability, and modelling different land cover scenarios at finer spatial and temporal scales (e.g. at the field scale with different cropping options).

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“…Collecting, processing and analysing this data became a very active area of research that provided scientifically and practically relevant results in many disciplines such as agriculture, ecology, forestry or water management. In water management and hydrology the research is mainly focused on the effect of land use changes on runoff and erosion processes (see, e.g., Bruijnzeel, 2005;Burt and Slattery, 2005;Endreny, 2005;Goldman et al, 1986;He et al, 2013;Hlavčová et al, 2007;Li et al, 2013;Luce, 2005;Ray et al, 2010;Rončák and Hlavčová, 2014; as well as the dynamics of these changes over time (Butt et al, 2015;Lambin et al, 2003;RIKS BV, 2008;Verburg et al, 2002). A special category of studies analysing changes in land use over time deals with information from historical sources such as old maps, cadastres, land registers, and other historical documents.…”

Section: Introductionmentioning

confidence: 99%