Impact of Land Use Change on Erosion Risk: An Integrated Remote Sensing, Geographic Information System and Modeling Methodology

Leh, Mansoor; Bajwa, Sreekala G.; Chaubey, Indrajeet

doi:10.1002/ldr.1137

Cited by 183 publications

(155 citation statements)

References 56 publications

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“…These channels act as sediment sources and transport passages leading to soil loss (Wirtz et al 2012). Although soil erosion is a natural process, it has been accelerated by human impact on the landscape due to continuous agriculture activities, overgrazing, mining and others (Gimenez-Morera et al 2010;Leh et al 2013;Lieskovský and Kenderessy 2012;Mandal and Sharda 2013;Zhao et al 2013;Ziadat and Taimeh 2013). Tillage results in the permanent alteration of the soil structure and soil aggregate, leading to increased soil erosion (Ramos-Scharron and Macdonald 2007).…”

Section: Introductionmentioning

confidence: 99%

Quantifying annual soil and nutrient lost by rill erosion in continuously used semiarid farmlands, North Ethiopia

et al. 2017

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The loss of soil from land surfaces by erosion is widespread and reduces the productivity of agricultural lands. Concurrently, due to increasing human population, agricultural land expansion and exploitation, soil erosion and nutrient loss are the major environmental problems in Ethiopia. This study was conducted to estimate annual losses of soil, soil nutrients and carbon due to rill erosion. The entire watershed was classified into 12 land mapping units (LMUs). Consequently, the cropland was delineated to estimate soil and nutrient losses. Dimensions of the rills were measured at different parts of the landscape, and rill volume of rill erosions was assessed in the field. Disturbed representative composite soil samples were taken from each LMU to estimate the main soil nutrients, and each soil nutrient was estimated using different methods. The result revealed that the amount of soil lost through rill erosion was found to be 3.17 t ha -1 year -1 . The average annual nutrient loss by the rill erosion was 41.4 kg ha -1 soil organic matter content, 2.4 kg ha -1 total N, 0.02 kg ha -1 available P and 0.3 kg ha -1 exchangeable K. The annual estimated cost of the soil nutrient lost (total N and available P) due to rill erosion was found to be 1341 USD. This cost would be used to replace the total N and available P nutrients lost through the addition of mineral fertilizers. Water erosion in the form of rill erosion was severely affecting soil fertility management and crop production in the study watershed. Hence, effective integrated watershed management interventions and farmland managements could combat soil erosion.

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Section: Introductionmentioning

confidence: 99%

Quantifying annual soil and nutrient lost by rill erosion in continuously used semiarid farmlands, North Ethiopia

et al. 2017

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“…With the increasing of rainfall intensity, the increasing rate of slope accumulated sediment amount is higher than that of accumulated runoff amount (Zhu et al, 2009). Runoff is increased with the increasing of rainfall intensity, and under identical rainfall intensity, the erosion amount of surface with loose deposits is the greatest, the erosion amount of excavated bare areas takes second place, and the erosion amount of surface with vegetation cover is the lowest (Li and He, 2006;Leh et al, 2013). Soil erosion is obviously increased with the increasing of rainfall intensity.…”

Section: Analysis On Influence On Slope Runoff and Sediment Productiomentioning

confidence: 99%

Karst bare slope soil erosion and soil quality: a simulation case study

et al. 2015

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Abstract. The influence on soil erosion by different bedrock bareness ratios, different rainfall intensities, different underground pore fissure degrees and rainfall duration are researched through manual simulation of microrelief characteristics of karst bare slopes and underground karst crack construction in combination with artificial simulation of rainfall experiment. The results show that firstly, when the rainfall intensity is small (30 and 50 mm h −1 ), no bottom load loss is produced on the surface, and surface runoff, underground runoff and sediment production are increased with the increasing of rainfall intensity. Secondly, surface runoff and sediment production reduced with increased underground pore fissure degree, while underground runoff and sediment production increased. Thirdly, raindrops hit the surface, forming a crust with rainfall duration. The formation of crusts increases surface runoff erosion and reduces soil infiltration rate. This formation also increases surface-runofferosion-damaged crust and increased soil seepage rate. Raindrops continued to hit the surface, leading the formation of crust. Soil permeability showed volatility which was from reduction to increases, reduction, and so on. Surface and subsurface runoff were volatile with rainfall duration. Fourthly, when rock bareness ratio is 50 % and rainfall intensities are 30 and 50 mm h −1 , runoff is not produced on the surface, and the slope runoff and sediment production present a fluctuating change with increased rock bareness ratio. Fifthly, the correlation degree between the slope runoff and sediment production and all factors are as follows: rainfall intensityrainfall duration-underground pore fissure degree-bedrock bareness ratio.

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“…Remote sensing data offers a valuable multi-temporal data on processes and phenomena that act over larger areas. For example, it poses a major data source specifically, for assessing protected areas [43], monitoring biodiversity [44], promoting sustainable urbanization in Greater Dhaka, Bangladesh [45], land use and land cover change detection in the western Nile data of Egypt [46] and Kodaikanal taluk, Tamil nadu [47], impact of land use change on risk erosion and sedimentation in a mixed land use watershed in the Ozark Highlands of the USA [48], applying of RS/GIS to forest fire risk mapping in the Mediterranean coast of Spain [49], using satellite images of studying forest resources in three decades of research development by [50], and monitoring forest cover change and forest degradation using remote sensing and landscape metrics of Nyungwe-Kibira park in Rwanda and Burundi [51].…”

Section: Introductionmentioning

confidence: 99%

Post-War Land Cover Changes and Fragmentation in Halgurd Sakran National Park (HSNP), Kurdistan Region of Iraq

Hamad

Kolo

Balzter

2018

Land

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Context:The fundamental driving force of land use and land cover (LULC) change is related to spatial and temporal processes caused by human activities such as agricultural expansion and demographic change. Landscape metrics were used to analyze post-war changes in a rural mountain landscape, the protected area of Halgurd-Sakran National Park (HSNP) in north-east Iraq. Therefore, the present work attempts to identify the temporal trends of the most fragmented land cover types between two parts of the national park. Objectives: The objectives of this study are to compare two land cover classification algorithms, maximum likelihood classification (MLC) and random forest (RF) in the upper and lower parts of HSCZ, and to examine whether landscape configuration in the park has changed over time by comparing the fragmentation, connectivity and diversity of LULC classes. Methods: Two Landsat images were used to analyze LULC fragmentation and loss of habitat connectivity (before and after the Fall of Baghdad in 2003). Seven landscape pattern metrics, percentage of land (PLAND), number of patch (NP), largest patch index (LPI), mean patch size (MPS), euclidian nearest neighborhood distance (ENN_AM), interspersion and juxtaposition (IJI) and cohesion at class level were selected to assess landscape composition and configuration. Results: A significant change in LULC classes was noticed in the lower part of the park, especially for pasture, cultivated and forest-lands. The fragmentation trends and their changes were observed in both parts of the park, however, more were observed in the lower part. The inherent causes of these changes are the socio-economic factors created by the 1991-2003 UN post-war economic sanctions. The changes increased during sanctions and decreased afterwards. The fall of Baghdad in 2003, followed by rapid economic boom, marked the greatest cause in land use change, especially in changes-susceptible cultivated areas. Conclusions: Shrinkage of forest patches in the lower part of the park increases the distance between them, which contributes to a decline in biological diversity from decreasing habitat area. Lastly, the results confirm the applicability of the combined method of remote sensing and landscape metrics.

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Impact of Land Use Change on Erosion Risk: An Integrated Remote Sensing, Geographic Information System and Modeling Methodology

Cited by 183 publications

References 56 publications

Quantifying annual soil and nutrient lost by rill erosion in continuously used semiarid farmlands, North Ethiopia

Quantifying annual soil and nutrient lost by rill erosion in continuously used semiarid farmlands, North Ethiopia

Karst bare slope soil erosion and soil quality: a simulation case study

Post-War Land Cover Changes and Fragmentation in Halgurd Sakran National Park (HSNP), Kurdistan Region of Iraq

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