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An approach has been adopted in order to select the most representative and predictive indicators as minimum data set (MDS) for the assessment of rangeland soil quality. Large data sets were employed for the high hill rangeland in the Saral region, Kurdistan province, west of Iran. The correlations between soil properties and plant growth in various landscape units were investigated and interpreted based on statistical analyses. Multivariate statistical techniques were used to determine the minimum set of indicators among chemical and physical variables, as well as soil surface indices of Landscape Function Analyses (LFA) approach that account for at least 70% of the variability in the whole data set of aboveground plant biomass production among land units. The MDS was selected for its ability to predict soil productivity, as site potential of a long-term rangeland exclosure. The efficacy of the chosen MDS was evaluated by performing multivariate regressions of the MDS against each of the plant growth characteristics (P ≤ 0.05). These dependent characteristics included total yield, herbaceous plant production, and utilizable forage. Variations in the plant response variables were best predicted by Nutrient cycling index, Land organization index, and total nitrogen illustrating that plant variables were more sensitive to the chemical rather than the physical properties of the soil.
Czasopismo
Rocznik
Tom
Strony
14--23
Opis fizyczny
Bibliogr. 26 poz., mapa, tab., wykr.
Twórcy
autor
- Department of Natural Resources, Kurdistan Agriculture and Natural Resources Research and Education Center, AREEO, Sanandaj, Iran
autor
- Forestry Department, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
autor
- Desert Research Division, Research Institute of Forest and Rangeland, AREEO, Tehran, Iran
autor
- ICARDA Iran Office, AREEO Complex, Tehran, Iran
Bibliografia
- [1] Ammari P., Kashmiri F. 1990 — The detailed soil studies and land classification for irrigation and rainfed cropping of Kharkeh Research Station (Kurdistan province) — Research Institute of Soil and Water, AREEO, Tehran, Iran.
- [2] Andrews S. S., Karlen D. L., Cambardella C. A. 2004 — The soil management assessment framework: A quantitative soil quality evaluation method — Soil Sci. Soc. Am. J. 68: 1945–1962.
- [3] Andrews S. S., Karlen D. L., Mitchell J. P. 2002 — A comparison of soil quality indexing methods for vegetable production systems in Northern California — Agric. Ecosyst. Environ. 90: 25–45.
- [4] Bonham C. D. 1989 — Measurements for Terrestrial Vegetation — New York, John Wiley & Sons.
- [5] Bremner J. M., Mulvaney C. S. 1982 — Nitrogen-total (In: Methods of Soil Analysis, Ed: A.L. Page) — Madison, American Society of Agronomy Inc. Publisher, pp. 595–624.
- [6] Brozek S., Mulder J., Gruba P., Mulder P., Blonska E., Lasota J., Pacanowski P., Wanic T., Zwydak M. 2010 — Development of soil quality indices for natural forest habitats of lowlands and uplands in Poland and its application in silviculture: project description — Proceeding of the 19th World Congress of Soil Science, Soil Solutions for a Changing World, 1–6 August 2010, Brisbane, Australia. pp. 37–39.
- [7] Doran J. W., Parkin T. B. 1996 — Quantitative indicators of soil quality: a minimum data set (In: Methods of Soil Analysis, Eds: J. W. Doran, A. J. Jones) — Madison, American Society of Agronomy Inc. Publisher, pp. 25–37.
- [8] El-Ramady H. R., Alshaal T. A., Abou El-Khir A. M., El-Essawi T. M. 2013 — Chemical soil quality indicators as affected by different cultivated crops — Egypt. Soil Sci. Soc. J. 53: 1–12.
- [9] Gunn, R. H., Aldrick J. M. 1988 — Australian Soil and Land Survey Handbook: Guidelines for Conducting Surveys — Melbourne, Inkata Press.
- [10] Holechek J. L., Pieper R. D., Herbel C. H. 1995 — Range Management: Principles and Practices, 2nd ed.) — Englewood Cliffs, Prentice Hall.
- [11] Huber S. 2005 — The Austrian soil indicator set and its development — Mitt Österr Bodenkundl Ges, Heft 73: 13–19.
- [12] Knudsen D., Peterson G. A., Pratt P. 1982 — Lithium, sodium, and potassium (In: Methods of Soil Analysis, Ed: A.L. Page) — Madison, American Society of Agronomy Inc. Publisher, pp 225–246.
- [13] Li Y, Dong S., Wen L., Wang X., Wu Y. 2013 — Assessing the soil quality of alpine grasslands in the Qinghai-Tibetan Plateau using a modified soil quality index — Environ. Monit. Assess. 185: 8011–8022.
- [14] Martinez-Salgado M. M., Gutiérrez-Romero V., Jannsens M., Ortega-Blu R. 2010 — Biological soil quality indicators: a review. Current research, technology and education topics in applied microbiology and microbial biotechnology — Formatex, Microbiology Book Series — No. 2, pp. 319–328.
- [15] McLean E. O. 1982 — Soil pH and lime requirement (In: Methods of Soil Analysis, Ed. A.L. Page) — Madison, American Society of Agronomy Inc. Publisher, pp. 199–224.
- [16] Moghaddam M. R. 1998 — Range and Range Management — Tehran, Tehran University Press.
- [17] Nelson D. W., Sommers L. E. 1982 — Total carbon, organic carbon, and organic matter (In: Methods of Soil Analysis, Ed: A.L. Page) — Madison, American Society of Agronomy Inc. Publisher, pp. 539–579.
- [18] Olsen S. R., Sommers L. E. 1982 — Phosphorus (In: Methods of Soil Analysis, Ed: A.L. Page) — Madison, American Society of Agronomy Inc. Publisher, pp. 403–430.
- [19] Rezaei S. A. 2003 — The use of a soil quality index in site capability assessment for extensive grazing — PhD thesis, University of Western Australia, Australia.
- [20] Rezaei S. A., Gilkes R. G., Andrews S. S. 2006 — A minimum data set for assessing soil quality in rangelands — Geoderma, 136: 229–234.
- [21] Rhoades J. D. 1982 — Soluble salts (In: Methods of Soil Analysis, Ed: A.L. Page) — Madison, American Society of Agronomy Inc. Publisher, pp. 167–179.
- [22] Saedi K., Fayaz M. 2011 — Studying the preference value of range plants and animal grazing behaviour in key ranges of five bioclimatic zones of Iran (Kurdistan — Saral) — Report No. 4100- 170000-02-8501-85004, Research Institute of Forests and Rangelands, Tehran.
- [23] Schoenholtz S. H., Van Miegroet H., Burger J. A. 2000 — A review of chemical and physical as indicators of forest soil quality: challenges and opportunities — Forest Ecol. and Manag. 138: 335–356.
- [24] Soil Survey Staff 1999 — Soil taxonomy: A basic system of soil classification for making and interpreting soil surveys, 2nd ed.) — Natural Resources Conservation Service. U.S. Department of Agriculture, Handbook 436.
- [25] SPSS Inc. 2008 — SPSS Statistics for Windows, Version 17.0 — Chicago: SPSS Inc.
- [26] Tongway D., Hindley N. 2004 — Landscape Function Analysis: Procedures for Monitoring and Assessing Landscapes — Brisbane, CSIRO.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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