Examination of Data Collected from Experiments on Soil Disturbance Using Fuzzy Indicator Approach

Autor:	Dmitry Kurtener, Elena Krueger, H. Allen Torbert
Rok vydání:	2016
Předmět:	0106 biological sciences Soil depth Hydrology Geography Disturbance (geology) Productivity (ecology) 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Soil classification 04 agricultural and veterinary sciences 01 natural sciences Soil quality 010606 plant biology & botany
Zdroj:	European Agrophysical Journal. 3:25
ISSN:	2296-763X 2296-7664
DOI:	10.17830/j.eaj.2016.03.025
Popis:	Soil disturbance can have important impacts on soil quality and productivity which impact management decisions. However, the extent of potential damage to soil due to soil disturbance is not always obvious. Methods are needed to determine the level of soil disturbance from soil testing. A methodology for this problem could be found using a tool for computations of two soil disturbance indicators called “Disturbance Factor Simple (DFS)” and “Disturbance Factor Complex (DFC)”. This study examined this tool for the examination of data collected from experiments on soil disturbance in two different climatic reagions: Fort Riley, KS, and Fort Benning, GA, USA. Results for Fort Riley indicate that the best indicator of disturbance was the DFS calculated for Ni, Ca, Mg, and C while DFS calculated for Cr, Pb, Ni, and Ca was best for Fort Benning. Results also indicate that the use of DFS calculated for Cu and Ni as affected by changes in soil depth may be useful for detecting archeological sites across soil types.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0a68a6939501a20fdd90b62e155a2d0b https://doi.org/10.17830/j.eaj.2016.03.025 Zobrazit plný text záznamu