Soil Mapping and Processes Modeling for Sustainable Land Management

Pereira, Paulo; Brevik, Eric C.; Muñoz‐Rojas, Miriam; Miller, Bradley A.; Smetanová, Anna; Depellegrin, Daniel; Misiūnė, Ieva; Novara, Agata; Cerdà, Artemi

doi:10.1016/b978-0-12-805200-6.00002-5

Cited by 41 publications

(18 citation statements)

References 194 publications

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“…The evolution of technology and models capable of analyzing a large number of variables has increased the sophistication of land suitability analyses [32,33]. Furthermore, the development of geographical information systems (GIS) and geostatistical techniques has allowed improved spatial processing of information on the variables that affect land degradation and land suitability, which are important for sustainable use of agricultural areas [6].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

et al. 2019

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The dramatic growth of the world’s population is increasing the pressure on natural resources, particularly on soil systems. At the same time, inappropriate agricultural practices are causing widespread soil degradation. Improved management of soil resources and identification of the potential agricultural capability of soils is therefore needed to prevent further land degradation, particularly in dryland areas such as Egypt. Here, we present a case study in the El-Fayoum depression (Northern Egypt) to model and map soil suitability for 12 typical Mediterranean crops. Two management scenarios were analyzed: the current situation (CS) and an optimal scenario (OS) of soil variables. The Almagra model was applied to estimate soil suitability under CS and OS. Management options based on the CS assessment were proposed to reduce some limiting factors: a fixed value of 2 dSm−1 for soil salinity and 5% for sodium saturation; these defined the OS. Under optimal management, the OS scenario showed potential, where a notable increase of the area covered by a high suitability class (around 80%) for annual and semi-annual crops was observed. There was also a marked increase (about 70% for CS and 50% for OS) for perennial crops shifting from the marginal to moderate soil suitability class. The results reveal the importance of proper management to massively alter soil suitability into better states in order to achieve sustainable land use in this fertile agro-ecosystem.

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Section: Introductionmentioning

confidence: 99%

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

et al. 2019

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“…When addressing land degradation issues such as soil erosion by water, the understanding of spatial aspects is a key element, as it can support the application of appropriate management techniques as well as support related disciplines (Schmiedel, Kruspe, Kayser, & Oettlé, ; Pereira et al, ; Govers, Roel Merckx, van Wesemael, & Van, ; Bodoque et al, ). This is particularly the case when analysing land use patterns and their effect on erosion rates (Haregeweyn et al, ; Pacheco, Varandas, Sanches Fernandes, & Valle Junior, ; Valle Junior, Varandas, Sanches Fernandes, & Pacheco, ; Zhang, Fan, Li, & Yi, ), or when selecting appropriate conservation measures (Rahma et al, ).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the new soil erosion map of Hungary—A semiquantitative approach

et al. 2018

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Soil erosion by water is one of the most significant forms of soil degradation globally, especially in Europe. A new soil erosion risk map of Hungary has been compiled and published recently, using the combined outputs of the Universal Soil Loss Equation and Pan‐European Soil Erosion Risk Assessment models. Our study aimed at providing evaluation of the map by using semiquantitative validation data obtained from the Hungarian Soil Degradation Subsystem of the National Environmental Information System. The Soil Degradation Subsystem database contained information at farm level as well as indicators based on laboratory data for 5‐ha representative plots. On the basis of the semiquantitative analysis, the map results align well with the farm‐based degradation data and provide viable information not only at the regional scale but also at the farm scale. However, indicators from representative plots did not support model results, indicating possible conflict between farm‐ and plot‐level data. Cross‐comparison of these indicators showed only limited correlation between farm‐ and plot‐level indicators.

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“…Based on population dynamics, territorial disparities can be more easily identified at the LAU scale, being primarily associated with urban sprawl and coastalization processes, both intensifying the socioeconomic divide in urban, accessible and dynamic regions and marginal, inland, and rural districts. Refined definitions of socioeconomic contexts resulting from different demographic patterns and processes can improve the reliability and accuracy of land-use analysis and predictions [50,[83][84][85][86][87]. Although evaluation of spatial planning and developmental policies is not immediate [88], geo-spatial databases covering enough long study periods are essential to provide the information required to identify European regions, urban structures, peri-urban landscapes, and socioeconomic contexts changing over time [20].…”

Section: Discussionmentioning

confidence: 99%

Population Dynamics in Southern Europe: A Local-Scale Analysis, 1961–2011

et al. 2018

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Different socioeconomic, historical, political, and cultural factors have influenced long-term settlement patterns and demographic structures in Europe. Southern Europe is considered a relatively homogeneous region as far as settlement characteristics and population dynamics are concerned. Within-country local variability in the spatial distribution of population is high, and inherent differences across countries may outline distinct demographic patterns at regional scale. A comparative, local-scale analysis of population distribution in five countries (Spain, Italy, Croatia, Greece, and Cyprus) over a relatively long time period (1961–2011) contributes to identify latent demographic trends in Mediterranean Europe at the spatial scale of Local Administrative Units (LAU). A spatially-explicit analysis of basic indicators of population density and demographic change allows identification of territorial disparities, reflecting local-scale settlement patterns common to different countries (e.g., population growth along coastal districts). These patterns consolidate a metropolitan hierarchy centered on large—mainly compact—cities and more dispersed conurbations along coastal areas. At the same time, the examined countries present different territorial contexts resulting in distinct population dynamics in turn influenced by internal (e.g., national policies, culture and local identity, class segregation) and exogenous (e.g., economic cycle, urbanization models) factors. A spatially-explicit analysis of demographic trends at local scale may contribute to rethinking urban strategies and adapting spatial planning to heterogeneous socioeconomic contexts across Europe.

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Soil Mapping and Processes Modeling for Sustainable Land Management

Cited by 41 publications

References 194 publications

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

Assessment of Soil Suitability for Improvement of Soil Factors and Agricultural Management

Evaluating the new soil erosion map of Hungary—A semiquantitative approach

Population Dynamics in Southern Europe: A Local-Scale Analysis, 1961–2011

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