scholarly journals Land degradation severity assessment with sand encroachment in an ecologically fragile arid environment: a geospatial perspective

2013 ◽  
pp. 43 ◽  
Author(s):  
Prem Chandra Pandey ◽  
Meenu Rani ◽  
Prashant Kumar Srivastava ◽  
Laxmi Kant Sharma ◽  
Mahendra Singh Nathawat
Keyword(s):  
Land Degradation ◽  
Arid Environment ◽  
Severity Assessment ◽  
Sand Encroachment

scholarly journals Determinants and rates of land degradation: Application of stationary time-series model to data from a semi-arid environment in Kenya

2018 ◽  
Vol 10 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Kevin Z Mganga ◽  
Dickson M Nyariki ◽  
Nashon K R Musimba ◽  
Dorothy A Amwata
Keyword(s):  
Time Series ◽  
Land Degradation ◽  
Arid Environment ◽  
Time Series Model ◽  
Stationary Time Series ◽  
Stationary Time ◽  
Semi Arid

Improving Accuracy and Consistency in Child Maltreatment Severity Assessment in Spain

2012 ◽  
Author(s):  
Ignacia Arruabarrena ◽  
Joaquin de Paasl ◽  
Silvia Indias ◽  
Maria Ullate
Keyword(s):  
Child Maltreatment ◽  
Severity Assessment ◽  
Improving Accuracy

Addiction Severity Assessment Tool

2005 ◽  
Author(s):  
Stephen F. Butler ◽  
Simon H. Budman ◽  
Michael D. McGee ◽  
Michael Sean Davis ◽  
Rebecca Cornelli ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Severity Assessment ◽  
Addiction Severity

CASE STUDY: Evaluation of Different Cooling Systems in Lactating Heat-Stressed Dairy Cows in a Semi-Arid Environment

2007 ◽  
Vol 23 (5) ◽  
pp. 546-555 ◽  
Author(s):  
R. Burgos ◽  
L.J. Odens ◽  
R.J. Collier ◽  
L.H. Baumgard ◽  
M.J. VanBaale
Keyword(s):  
Dairy Cows ◽  
Arid Environment ◽  
Cooling Systems ◽  
Study Evaluation ◽  
Semi Arid

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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