Land Use Management in Order to Maximizing Benefit and Minimizing Soil Erosion

Land use optimization through bridging multiobjective optimization and multicriteria decision‐making models (case study: Tilabad Watershed, Golestan Province, Iran)

“…The dense deciduous and sparse deciduous forest will continuously increase by increasing the level of land use optimization scenarios. These results are in agreement with the reported results of Owji, Nikkami, Mahdian, et al (2012) and Sunandar et al (2014) on decreasing the area of agricultural land and rangeland and increasing forest land after the optimization process. These facts and figures indicate that land‐use allocation of the Tilabad watershed is far from optimality.…”

“…Therefore, by land‐use optimization, land‐based job opportunities will decrease and more manpower will be available for other socioeconomic sectors. The results of this study are in agreement with the reported results of Owji and Nikkami (2012); Han et al (2016) and Tajbakhsh et al (2018) on the reduction of surface runoff generation through land‐use allocation optimization; and the findings of Sadeghi et al (2009); Nikkami et al (2009); Owji, Nikkami, Mahdian, et al (2012); Sunandar et al (2014); Shaygan et al (2014); Han et al (2016); Lazoglou et al (2016); Sokouti and Nikkami (2017) and Tajbakhsh et al (2018) on the reduction of soil erosion and sediment loads. Moreover, our results are consistent with the reported results of Benli and Kodal (2003); Sadeghi et al (2009); Nikkami et al (2009); Hongrui et al (2010); Owji, Nikkami, Mahdian, et al (2012); Sunandar et al (2014); Yuan et al (2014); Singh (2014); Shaygan et al (2014); Zhou et al, (2015); Mohammadi et al (2015); Lazoglou et al (2016); Sokouti and Nikkami (2017), García et al(2017) and Tajbakhsh et al (2018) on increasing economic returns, and also in agreement with the findings of Shaygan et al (2014) denoting an increase of land use suitability index.…”

“…The research carried out in the field of land use optimization are divided into three categories of linear programming models (LP) (Benli & Kodal, 2003; Hongrui et al, 2010; Min et al, 2015; Nikkami et al, 2009; Owji, Nikkami, Mahdian, et al, 2012; Sadeghi et al, 2009; Sokouti & Nikkami, 2017; Sunandar et al, 2014; Vafakhah & Mohseni Saravi, 2011), Cellular Automata (CA) models (Li & Yeh, 2002), and models based on intelligent algorithms, and evolutionary and innovative methods (Cao et al,2012; Datta et al, 2007; García et al, 2017; Lazoglou et al, 2016; Y. Liu et al, 2013, 2015; Mohammadi et al, 2015; Shaygan et al, 2014; Yuan et al, 2014; H. Zhang et al, 2016; H. H. Zhang et al, 2010). In LP models, the optimal land use structure is identified rapidly based on the accurate mathematical definition of limits and one objective function (Aerts et al, 2003).…”

“…The research carried out in the field of land use optimization are divided into three categories of linear programming models (LP) (Benli & Kodal, 2003;Hongrui et al, 2010;Min et al, 2015;Nikkami et al, 2009;Owji, Nikkami, Mahdian, et al, 2012;Sadeghi et al, 2009;Sokouti & Nikkami, 2017;Sunandar et al, 2014;Vafakhah & Mohseni Saravi, 2011), Cellular Automata (CA) models (Li & Yeh, 2002), and models based on intelligent algorithms, and evolutionary and innovative methods (Cao et al,2012;Datta et al, 2007;García et al, 2017;Lazoglou et al, 2016;Y. Liu et al, 2013Y.…”