Estimating the regional mean status and change of soil properties: two distinct objectives for soil survey

A - Papers appearing in refereed journals

Lark, R. M. 2009. Estimating the regional mean status and change of soil properties: two distinct objectives for soil survey. European Journal of Soil Science. 60 (5), pp. 748-756.

AuthorsLark, R. M.

There is a general requirement for inventories to establish the status of soils with respect to key indicator properties, and for monitoring to detect changes in these indicators. The design of sampling protocols for soil survey must meet these dual requirements. This paper emphasizes that the status and change of an indicator are different variables and so their variability may differ. We therefore may not assume that a sampling scheme that is suitable for inventory is also suitable for monitoring; this poses a practical problem since information on the variability of the change in soil is not in general available at present. In this paper some plausible statistical models of change in the soil are examined, and their implications for sampling to estimate mean change in large regions are considered. Paired sampling, with baseline and resampling at common sites, is generally preferable to sampling at independent sites on the two dates, unless the error from relocation of the sample sites is large by comparison to other sources of variation. A simple process model of soil organic carbon in soils of lowland tropical forest is used to examine the problem of resampling to estimate change. This shows the expected advantages of paired sampling for change, and the very different sampling requirements that may pertain for inventory and monitoring. One implication of these results is that, while sampling schemes for inventory may be designed on the basis of available information (from samples taken at a single time), the precise requirements for monitoring might not be apparent until a reconnaissance resampling is undertaken subsequently.

KeywordsSoil Science
Year of Publication2009
JournalEuropean Journal of Soil Science
Journal citation60 (5), pp. 748-756
Digital Object Identifier (DOI)
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeCentre for Mathematical and Computational Biology (MCB)
Complex spatial variation of environmental variables: sampling, prediction and interpretation
Output statusPublished

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