Predicting Soil Erosion After Land Use Changes for Irrigating Agriculture in a Large Reservoir of Southern Portugal

Ferreira, Vera; Panagopoulos, Τhomas; Cakula, Anda; Andrade, Rita Morais de; Arvela, André Filipe Samora

doi:10.1016/j.aaspro.2015.03.006

Cited by 28 publications

(22 citation statements)

References 29 publications

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“…Analyzing the soil erosion of each land-use it was obtained the following land use erosion vulnerability: Olive orchard>Vineyard>Montado>Alfalfa. The strong erosion variances that were observed in the study area show the importance of locating the 'hot spots' of soil erosion (Ferreira, 2015). Since optimization methods in watershed management leads to conserve resources and provide the optimum solution to achieve sustainable use of land and in compliance with all technical, social, economic and legal restrictions that has not been done in the area.…”

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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“…The intensity of soil erosion and non-point-source water pollution are closely linked to the land-uses (Ferreiraa et al,2015;Hä ring et al, 2014;Leh et al, 2013;Li et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, China's policy makers urgently need to understand how this land-use-change trend affects soil erosion and non-point-source water pollution. Therefore, it is timely to investigate the impacts of the land-use change on soil erosion and nutrient loss on sloping fields to better support sustainable management of water and soil conservation and agricultural non-point-source water pollution in China (Ferreiraa et al, 2015;Pang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Land-use change from arable lands to orchards reduced soil erosion and increased nutrient loss in a small catchment

Chen

Wang

Wei

et al. 2019

Science of The Total Environment

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“…The RUSLE was initially developed for agricultural ecosystems with gentle slopes [8]. When RUSLE is used in a complex landscape, such as hilly or mountainous regions, calibration of these parameters, such as rainfall erosivity factor (R), soil erodibility factor (K), and cover management factor (C-factor) is often needed, thus, different equations for these kinds of calibrations have been proposed [10,[38][39][40]. Therefore, direct application of RUSLE in forest or agroforestry ecosystems with steep slopes, is not recommended [5].…”

Section: Introductionmentioning

confidence: 99%

A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China

Zhenlong

et al. 2018

Remote Sensing

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Increasing agroforestry areas with improper management has produced serious environmental problems, such as soil erosion. It is necessary to rapidly predict the spatial distribution of such erosion risks in a large area, but there is a lack of approaches that are suitable for mountainous regions. The objective of this research was to develop an approach that can effectively employ remotely-sensed and ancillary data, to map soil erosion risks in an agroforestry ecosystem in a mountainous region. This research employed field survey data, soil-type maps, digital elevation model data, weather station data, and Landsat imagery, for extraction of potential variables. It used the random forest approach to identify eight key variables—slope, slope of slope, normalized difference greenness index at leaf-on season, soil organic matter, fractional vegetation at leaf-on season, fractional soil at leaf-off season, precipitation in June, and percent of soil clay—for mapping soil erosion risk distribution in hickory plantations in Western Zhejiang Province, China. The results showed that an overall accuracy of 89.8% was obtained for three levels of soil erosion risk. Approximately one-fourth of hickory plantations were at high-risk, requiring the owners or decision makers to take proper measures to reduce the soil erosion problem. This research provides a new approach to predict soil erosion risk, based on the primary variables that can be extracted directly from remotely-sensed data and ancillary data. This proposed approach will be valuable for other agroforestry and plantations, such as Torreya grandis, eucalyptus, and the rubber tree, that are playing important roles in improving economic conditions for the local farmers but face soil erosion problems.

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Predicting Soil Erosion After Land Use Changes for Irrigating Agriculture in a Large Reservoir of Southern Portugal

Cited by 28 publications

References 29 publications

Optimizing land use pattern to reduce soil erosion

Optimizing land use pattern to reduce soil erosion

Land-use change from arable lands to orchards reduced soil erosion and increased nutrient loss in a small catchment

A Random Forest-Based Approach to Map Soil Erosion Risk Distribution in Hickory Plantations in Western Zhejiang Province, China

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