Indexing soil quality: a new paradigm in soil science research
Teklu Erkossa A , Fisseha Itanna B and Karl Stahr CA Corresponding author: Debre Zeit Research Centre, PO Box 32, Debre Zeit, Ethiopia. Email: erkossa@yahoo.com
B Addis Ababa University, PO Box 1176, Addis Ababa, Ethiopia.
C University of Hohenheim, Institute of Soil Science and Land Evaluation (310), Postfach 70 05 62, D-70593 Stuttgart, Germany.
Australian Journal of Soil Research 45(2) 129-137 https://doi.org/10.1071/SR06064
Submitted: 15 May 2006 Accepted: 10 November 2006 Published: 28 March 2007
Abstract
Soil quality indexing is a new approach in spatial and temporal evaluation of land management systems effects on soils’ capacity to function. A field experiment was conducted at Caffee Doonsa (2400 m a.s.l., 08°57′N, 39°06′E) for 6 years (1998–2003) to compare the effects of land preparation methods on soil quality (SQ) and to test the use of the Soil Management Assessment Framework (SMAF) in assessing SQ under the Ethiopian Central Highlands conditions. Four methods of land preparation [broad bed and furrows (BBF), green manure (GM), ridge and furrows (RF), and reduced tillage (RT)] were arranged in a randomised complete block design with 3 replications on permanent plots (22 m by 6 m). Physical, chemical, and biological SQ indicators were determined and scored, and a soil quality index (SQI) was developed using the SMAF procedures. Seven SQ indicators including microbial biomass carbon (MBC), bulk density, aggregate stability (AGG), soil organic carbon (Corg), pH, available water capacity (AWC), and available phosphorus were selected as a minimum dataset. The scored values of the indicators ranged from 0.21 for AGG and 0.97 for pH, both under BBF. Compared with RF (control), all the alternatives (GM, BBF, and RT) increased the scores of Corg and MBC. Moreover, BBF and GM increased the score values of AWC and AGG, respectively. Consequently, there was a non-significant increase in SQI due to the use of GM, BBF, and RT compared with the control. As a result, the land preparation methods may be preferred in a decreasing order GM ≥ BBF ≥ RT ≥ RF for the management goal of crop production. The study indicated that SMAF could be a robust tool to assess the performance of land management methods on soil quality in the study area, but some modifications may be required to fit to the prevailing cropping system and soil characteristics.
Additional keywords: soil quality indicators, land preparation methods, Vertisols, Ethiopia.
Acknowledgments
The authors appreciate the assistance of Nigusu Bekele and the late Tiku Birbo of the Debre Zeit Agricultural Research Center in implementing the field experiment and data collection. Bosena Bizuneh, Sisay Bejiga, and Tigist Wolde of the soil laboratory at Debre Zeit Agricultural Research Center helped in the determination of the soil parameters. The Ethiopian Agricultural Research Organization (EARO) and Deutscher Akademischer Austauschdienst (DAAD) have sponsored this work.
Anderson JPE, Domsch KH
(1978) A physiological method for the quantitative measurement of microbial biomass in soils. Soil Biology and Biochemistry 10, 215–221.
| Crossref | GoogleScholarGoogle Scholar |
(accessed: 15 January 2004).
Franzluebbers AJ,
Haney RL,
Hons FM, Zuberer DA
(1996) Active fractions of organic matter in soils with different texture. Soil Biology and Biochemistry 28, 1367–1372.
| Crossref | GoogleScholarGoogle Scholar |
Gregorich EG,
Carter MR,
Angers DA,
Monreal CM, Ellert BH
(1994) Towards a minimum data set to assess soil organic matter quality in agricultural soils. Canadian Journal of Soil Science 74, 367–385.
Gregory PJ,
Simmonds LP, Pilbeam CJ
(2000) Soil type, climatic regime, and the response of water use efficiency to crop management. Agronomy Journal 92, 814–820.
Herrick JE,
Brown JR,
Tugel AJ,
Shaver PL, Havstad KM
(2002) Application of soil quality to monitoring and management: Paradigms from Rangeland Ecology. Agronomy Journal 94, 3–11.
Karlen DL,
Andrews SS,
Weinhold BJ, Doran JW
(2003) Soil quality: Humankind’s foundation for survival. Research editorial. Journal of Soil and Water Conservation 58, 171–178.
Needelman BA,
Wander MM,
Bollero GA,
Boast CW,
Sims GK, Bullock DG
(1999) Interaction of tillage and soil texture: Biologically active soil organic matter in Illinois. Soil Science Society of America Journal 63, 1326–1334.
Quisenberry VL,
Smith BR,
Phillips RE,
Scott HD, Nortcliff S
(1993) A soil classification system for describing water and chemical transport. Soil Science 156, 306–315.
| Crossref |
Schofield RK, Taylor J
(1955) Measurement of soil pH. Soil Science Society of America Proceedings 19, 164–166.
Sharpley AN
(1991) Phosphorus extracted by iron-aluminum-oxide impregnated filter paper. Soil Science Society of America Journal 55, 1038–1041.
Swift MJ
(1999) Integrating soils, systems and society. Nature and Resources 35(4),
Walkley A, Black TA
(1934) An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chronic acid titration method. Soil Science 37, 29–38.
| Crossref | GoogleScholarGoogle Scholar |
Wolf AM, Baker DE
(1985) Comparisons of soil test phosphorus by Olsen, Bray P1, Mehlich I and Mehlich III methods. Communications in Soil Science and Plant Analysis 16, 467–484.
Yakowitz DS,
Stone JJ,
Lane LJ,
Heilman P,
Masterson J,
Abolt J, Imam B
(1993) A decision support system for evaluating the effect of alternative farm management systems on water quality and economics. Water Science and Technology 28, 47–54.