Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 549133
Title Comparison of soil physical quality indicators using direct and indirect data inputs derived from a combination of in-situ and ex-situ methods
Author(s) Bacher, M.G.; Schmidt, O.; Bondi, G.; Creamer, R.; Fenton, O.
Source Soil Science Society of America Journal 83 (2019)1. - ISSN 0361-5995 - p. 5 - 17.
DOI https://doi.org/10.2136/sssaj2018.06.0218
Department(s) PE&RC
Soil Biology
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) AW - Integral air-water energy; PAWC - Particle size distribution; SPQ - Plant available water capacity; PSD - Soil physical quality; SQI - Soil quality indicator; SWRC - Soil water retention curve
Abstract The quality of a soil is its ability to deliver functions providing ecosystem services, human health and well-being. Soil physical quality (SPQ) values use different parts of the soil water retention curve (SWRC) to calculate SPQ. For example, the plant available water capacity (PAWC) method is the difference in water content between permanent wilting point and field capacity. The S-index uses the slope of the SWRC at its inflection point and the relative air-water energy (AWr) is the integral of “dry” divided by the “wet” area of the SWRC. Increasing demand for soil monitoring policies calls for reliable and sensitive soil quality indicators (SQIs). The objectives of the study were to assess the sensitivity and applicability of SPQ indicators using direct and indirect data inputs. The indirect approach provided sufficient data complexity for the PAWC and S-index values, but the more complex AWr required the direct approach. PAWC and S-index values were identified as static SPQ indicators. The values obtained from these approaches should be used to form baseline static datasets and therefore have an indicative role only. The AWr value was identified as a dynamic SPQ indicator and provided required sensitivity to pick up temporal changes in SPQ. This indicator could be used at multiple scales and could even guide grassland management in terms of SPQ. Higher SWRC data resolution will require more complex hydraulic models to fit and will ultimately improve the accuracy of soil hydraulic data and improve the sensitivity of AWr as a SPQ indicator.
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