scholarly journals MONITORING OF LAND DEGRADATION AND SOIL PRODUCTIVITY IN BILQAS DISTRICT, DAKAHLIA GOVERNORATE, EGYPT

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Mohamed Elsaid Saeed
Keyword(s):  
Land Degradation ◽  
Soil Productivity

scholarly journals Study and evaluation the Marshes and surrounding areas in south of Iraq

2020 ◽  
Vol 150 ◽  
pp. 03011
Author(s):  
Husam Al-Nussairi ◽  
Khalida Hassan
Keyword(s):  
Land Degradation ◽  
Agricultural Production ◽  
Drainage Water ◽  
Soil Productivity ◽  
Hydrochemical Characteristics ◽  
Drainage Systems ◽  
Tigris River ◽  
South Of Iraq ◽  
Surrounding Areas ◽  
Southern Iraq

In this study, the marshlands in southern Iraq were investigated, focusing on the Hawizeh Marshlands and adjacent areas, by studying the scenario and quantities of water, in addition to the hydraulic and hydrochemical characteristics. To accomplish the objects of this study the researcher visited some fields, made interview with farmers, specialists, authorities and directorates related to this study. The results of this study indicate that there are a huge problem existed in the drainage systems with absence of natural outlets, the discharges of drainage water is towards Al- Hawizeh marsh which flow back its water into Tigris river through several canals, increasing salinity, scare of water, miss-use of land, lack of governments efforts to promote agricultural production leads to loss of soil productivity and land degradation.

scholarly journals Short-term effect of a crop-livestock-forestry system on soil, water and nutrient loss in the Cerrado-Amazon ecotone

2021 ◽  
Vol 51 (2) ◽  
pp. 102-112
Author(s):  
Cornélio Alberto ZOLIN ◽  
Eduardo da Silva MATOS ◽  
Ciro Augusto de Souza MAGALHÃES ◽  
Janaína PAULINO ◽  
Rattan LAL ◽  
...  
Keyword(s):  
Soil Water ◽  
Land Degradation ◽  
Nitrogen Loss ◽  
Environmental Conservation ◽  
Nutrient Loss ◽  
Soil Productivity ◽  
Mato Grosso ◽  
Eucalyptus Plantation ◽  
Carbon And Nitrogen ◽  
Total Soil

ABSTRACT Soil, water, and nutrient loss by water erosion are among the main factors leading to land degradation, decreasing soil productivity and the provision of ecosystem services. The Cerrado-Amazon ecotone in western Brazil has suffered rapid land-use cover changes with impacts on soil erosion and land degradation. Despite the importance of the region for Brazilian agriculture and environmental conservation, studies on soil, water, and nutrient loss are still scarce. We tested integrated crop-livestock-forestry (ICLF) as a sustainable agriculture management system for the Cerrado-Amazon ecotone region. A field experiment was established in the north of Mato Grosso state to quantify total soil, water, carbon and nitrogen loss during the rainy season in 2012-2013 in plots of integrated crop-forestry (ICF), pasture (PAST), eucalyptus plantation (EUC), no-tillage crop succession (CS) and bare soil (BS). Total soil, water, carbon and nitrogen losses in BS were, on average, 96.7% higher than in ICF, EUC, PAST, and CS. ICF had significantly lower water loss than CS, EUC and PAST. Total loss of carbon (4.3 - 428.2 kg ha-1) and nitrogen (0.3 - 29.2 kg ha-1) differed significantly among treatments. The production systems with tree components (EUC and ICF) and PAST showed reduced soil and nutrients loss compared to CS. Our results demonstrated that ICLF can avoid soil quality loss and thus improve agriculture sustainability in the Cerrado-Amazon ecotone.

Economic Causes and Consequences of Desertification

2021 ◽  
Author(s):  
Luca Salvati
Keyword(s):  
Land Degradation ◽  
Multidisciplinary Approach ◽  
Political Action ◽  
Landscape Fragmentation ◽  
Global Scale ◽  
Soil Productivity ◽  
Socially Constructed ◽  
Proximate Causes ◽  
Land Degradation And Desertification ◽  
Over Time

Land degradation and desertification are composite processes that reflect how components of land capital have worsened over time, both quantitatively and qualitatively. Land degradation is intended as a truly socioeconomic issue because the idea and practice of use (and misuse) of land are socially constructed. In this perspective, soil productivity and land capacity, water consumption and landscape fragmentation, agriculture and sustainable development all reflect the vast ensemble of human-nature interactions. The intrinsic heterogeneity of land degradation processes at the global scale limits the development of mitigation actions. Comprehension of the socioeconomic processes underlying land degradation can benefit from a multidisciplinary approach that considers the intricate feedback between biophysical and economic dimensions. The mutual relationship between economic growth, social inequality, political action, and land degradation provides examples of the interplay among proximate causes and factors underlying desertification.

scholarly journals Soil erosion prediction using USLE model in Cangkringan micro watershed model, Yogyakarta

2021 ◽  
Vol 912 (1) ◽  
pp. 012092
Author(s):  
S Fadhilla ◽  
A Kusumandari ◽  
Senawi
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Land Degradation ◽  
Soil Conservation ◽  
Erosion Rate ◽  
Soil Productivity ◽  
Watershed Model ◽  
Slope Length ◽  
Erosion Prediction ◽  
Ecological Principles

Abstract Land use that is not in accordance with ecological principles causes’ excessive soil erosion. Soil erosion has an impact on decreasing soil productivity, increasing critical land and causing land degradation. It is essential to predict the amount of soil lost due to soil erosion to determine the conservation efforts applied to suppress the erosion rate. The estimation of erosion in this study using the USLE model, using 5 factors, namely erosivity (R), erodibility (K), slope length (LS), crop management (C), and soil conservation (P). The results showed that the level of erosion hazard in Cangkringan Micro Watershed Model consisted of 5, namely very light covering an area of 29.14 ha (2.15%), mild covering an area of 642.31 ha (47.44%), moderate covering an area of 545.62 ha (40.30%), heavy area of 129.00 ha (9.53%) and very heavy area of 7.94 ha (0.58%).

Connecting Crop Nutrient Use Efficiency to Future Soil Productivity

2018 ◽  
Vol 102 (4) ◽  
pp. 8-10
Author(s):  
Fernando García ◽  
Andrés Grasso ◽  
María González Sanjuan ◽  
Adrián Correndo ◽  
Fernando Salvagiotti
Keyword(s):  
Nutrient Management ◽  
Nutrient Use Efficiency ◽  
Management Strategies ◽  
Crop Productivity ◽  
Soil Productivity ◽  
Nutrient Use ◽  
Grain Crop ◽  
Wide Scale ◽  
Use Efficiency

Trends over the past 25 years indicate that Argentina’s growth in its grain crop productivity has largely been supported by the depletion of the extensive fertility of its Pampean soils. Long-term research provides insight into sustainable nutrient management strategies ready for wide-scale adoption.

DEVELOPMENT OF A LAND DEGRADATION ASSESSMENT MODEL BASED ON FIELD INDICATORS ASSESSMENT AND PREDICTION METHODS IN WAI SARI, SUB-WATERSHED KAIRATU DISTRICT, WESTERN SERAM REGENCY, MALUKU PROVINCE, INDONESIA

2019 ◽  
Vol 2 (1) ◽  
pp. 071-084
Author(s):  
Silwanus M. Talakua ◽  
Rafael M. Osok
Keyword(s):  
Land Degradation ◽  
Soil Loss ◽  
Assessment Model ◽  
Small Scale ◽  
Small Islands ◽  
Topographic Map ◽  
Field Assessment ◽  
Field Indicators ◽  
Degradation Measurement ◽  
Very High

The study was conducted in Wai Sari sub-watershed, Western Seram Regency Maluku to develop an accurate land degradation assessment model for tropical small islands. The Stocking’s field land degradation measurement and RUSLE methods were applied to estimate soil loss by erosion and the results of both methods were statistically tested in order to obtain a correction factor. Field indicators and prediction data were measured on 95 slope units derived from the topographic map. The rates of soil loss were calculated according to both methods, and the results were used to classify the degree of land degradation. The results show that the degree of land degradation based on the field assessment ranges from none-slight (4.04 - 17.565 t/ha/yr) to very high (235.44 - 404.00 t/ha/yr), while the RUSLE method ranges from none-slight (0.04-4.59 t/ha/yr) to very high 203.90 - 518.13 t/ha/yr.  However, the RUSLE method shows much higher in average soil loss (133.4 t/ha/yr) than the field assessment (33.9 t/ha/yr). The best regression equation of  logD/RP = - 0.594 + 1.0 logK + 1.0 logLS + 1.0 logC or D = 0.2547xRxKxLSx CxP was found to be a more suitable land degradation assessment  model for a small-scale catchment area in the tropical small islands.

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