Applications of soil and plant analyses in identification and ameliorationof land degradation

Citation
R. Shaw et al., Applications of soil and plant analyses in identification and ameliorationof land degradation, COMM SOIL S, 31(11-14), 2000, pp. 1571-1597
Citations number
56
Categorie Soggetti
Environment/Ecology
Journal title
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
ISSN journal
00103624 → ACNP
Volume
31
Issue
11-14
Year of publication
2000
Pages
1571 - 1597
Database
ISI
SICI code
0010-3624(2000)31:11-14<1571:AOSAPA>2.0.ZU;2-X
Abstract
The raised consciousness of society to the condition of natural resources h as increased the need to quantify the possible degradation of these resourc es due to resource use and management operations. A common expectation is t hat a test analysis is simple, conducted quickly at low cost and provides a ccurate and quantitative results for decision making. Often this expectatio n is not met due to the separation of analytical services from interpretati ve guidelines and the understanding of systems. The deciding factors for th e continued use of analytical services in the future will be the meaningful ness of the analysis result, the cost and complexity of the analysis and th e ability to provide useful interpretations of the data. Greater emphasis i s now being placed on analytical results to assist the reversal of land deg radation. Land degradation is taken to mean a reduction in the potential pr oductivity of an area, or of a natural or modified ecosystem in relation to its natural or preferred state. Thus the meaning of land degradation is co nsidered within an ecosystem context rather than a specific spatial or temp oral value at one point or across a paddock. This paper discusses the meani ng of land degradation and examines the weaknesses in a number of commonly used analyses for estimating and evaluating land degradation. We propose an ecosystem conceptual framework to evaluate the utility of analyses and the appropriate derivation of interpretive guidelines. A range of common analy ses used for land degradation are evaluated against selected criteria using a multi-objective decision framework to rate the value of the analysis in identifying and monitoring land degradation.