+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Comparing Two Methods of Soil Data Interpretation to Improve the Reliability of Land



Comparing Two Methods of Soil Data Interpretation to Improve the Reliability of Land







Sustainable management of limited land and water resources is urgently needed to meet the increasing demand for food and to protect the environment. Land suitability analysis is a prerequisite in assessing and proposing sustainable land use alternatives for an area. Soil data are usually available at different levels of detail and stored in various forms, usually soil maps and/or soil observations. Soil data interpretation methods control the reliability of land suitability evaluation results. This has a serious effect on the reliability of the suitability maps, the subsequent land use decisions, and environmental modeling. This study examines the reliability of land suitability mapping using different methods of soil data interpretation – the average of land characteristics for field observations within soil map units (point-in-polygon) and spatial interpolation using field observations only (proximity to points). The degree of agreement between the two methods depends on the type of land utilization – rainfed barley (86%), open range (85%), improved range (75%), drip irrigated vegetables (69%), and drip irrigated trees (59%). This results from the difference in the limiting land characteristic that determines the suitability of each land utilization type and the pattern of spatial variation of each land characteristic in the field. Suitability maps for adaptable (indigenous) crops (such as barley and range crops), which require minimum farming inputs, are generally more accurate because they tolerate a wider range of variability. The interpolation method was more efficient in detecting the spatial distribution and extreme values of limiting land characteristics, resulting in more accurate suitability maps. Therefore, when detailed soil maps are not available, field observations could be used to derive suitability maps using an exact interpolation method.

(PDF emailed within 1 workday: $29.90)

Accession: 036572174

Download citation: RISBibTeXText


Related references

Methods to improve reliability of video-recorded behavioral data. Research in Nursing & Health 32(4): 465-474, 2009

New methods improve interpretation of propagation resistivity data. Transactions of the SPWLA Annual Logging Symposium 37(Pages (variously paginated, 1996

Manual for soil geographical research : guidelines and instructions. Vol. D: Interpretation of soil data for different forms of land use. Technisch Document Staring Centrum, Instituut voor Onderzoek van het Landelijk Gebied ( 19D): 0-153, 1995

Comparing the soil quality changes of different land uses determined by two quantitative methods. Journal of Environmental Sciences 15(2): 167-172, 2003

Mapping methods of interpretation of the data of land recording. Sbornik nauchnykh trudov: 6 114-118, 1977

Quality assurance of analytical methods to guarantee the reliability of medical decision levels for interpretation of clinical laboratory data. Rinsho Byori. Japanese Journal of Clinical Pathology 52(6): 548-551, 2004

Methods for detailed histopathological investigation and localization of biopsies from cervix uteri to improve the interpretation of autofluorescence data. Journal of Environmental Pathology, Toxicology and Oncology 25(1-2): 321-340, 2006

Using sequential injection analysis to improve system and data reliability of online methods: determination of ammonium and phosphate in coastal waters. Journal of Automated Methods & Management in Chemistry 2007: 49535-49535, 2007

Geographical information system in analysis and interpretation of soil resource data for land use planning. Journal of the Indian Society of Soil Science 46(2): 260-263, 1998

Comparing measurements methods of carbon dioxide fluxes in a soil sequence under land use and cover change in north eastern Spain. Geoderma 170, 2012

Methods for comparing spatial variability patterns of millet yield and soil data. Soil Science Society of America Journal 61(3): 861-870, 1997

Comparing two methods of analysis of single-ring infiltrometer data for a sandy-loam soil. Geoderma 149.3-4, 2009

Comparing two methods of analysis of single-ring infiltrometer data for a sandya“loam soil. 2009

Soil mapping and land use plan in Tehri-Garhwal District, Uttar Pradesh, using aerial photo-interpretation technique, highlighting soil-landscape relationship and land utilization. Journal of the Indian Society of Remote Sensing 10(3): 41-47, 1982

Impact of data integration technique on historical land-use/land-cover change: Comparing historical maps with remote sensing data in the Belgian Ardennes. Landscape Ecology 17(2): 117-132, 2002