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Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi

Year 2021, Volume: 36 Issue: 2, 301 - 316, 15.06.2021
https://doi.org/10.7161/omuanajas.883999

Abstract

Toprağın karasal ekosistem için çok önemli olan üretkenlik fonksiyonunu sürdürülebilir bir şekilde yerine getirebilmesi, kalitesinin doğru anlaşılması ve izlenmesi ile mümkündür. Bu çalışmanın amacı, yarı kurak karasal ekosisteme sahip olan ve Van havzası içerisinde yer alan mera arazilerinde dağılım gösteren toprakların SMAF modeli kullanılarak fiziksel, kimyasal ve biyolojik kalite indeks değerleri ile toplam toprak kalite özelliklerini belirlemektir. Bu amaçla, 6024 ha büyüklüğündeki araştırma alanını temsil eden 150 adet yüzey (0-30 cm) toprak örneklemesi yapılmıştır. SMAF modeli toprakların fiziksel, kimyasal ve biyolojik indikatörleri kapsamında; yarayışlı su içeriği, su dolu gözenek hacmi, hacim ağırlığı, agregat stabilitesi, toprak organik karbon içeriği, toprak pH’sı, elektriksel iletkenlik, sodyum adsorpsiyon oranı, bitkiye yarayışlı fosfor ve potasyum, potansiyel mineralize olabilir azot, mikrobiyal biyokütle karbonu ve βeta-Glukosidaz enzim aktivitesi indikatörleri olmak üzere toplam 13 indikatör içermektedir. Bu çalışma kapsamında potansiyel mineralize olabilir azot ve βeta-Glukosidaz enzim aktivitesi dışında on bir adet indikatör kullanılmıştır. Elde edilen sonuçlara göre mera topraklarının kimyasal kalite indeksinin düşük sınıfta, biyolojik kalite indeksinin ise yüksek sınıfta olduğu belirlenmiştir. Fiziksel toprak kalite ve toplam kalite indeks değerlerinin ise orta düzeyde oldukları belirlenmiştir. Özellikle biyolojik kalite indeksi olmak üzere; tüm kalite sınıfları, alan içerisindeki dağılımları bakımından yüksek değişkenlik göstermektedir. Çalışma alanının orta kesimlerinin tüm kalite sınıfları için düşük düzeyde olduğu belirlenmiş olup, bu durumun özellikle eğimin fazla ve erozyonun yüksek olmasından kaynaklandığı belirlenmiştir.

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Soil Quality Assessment using SMAF Model in Pasture Land located in Van Basin

Year 2021, Volume: 36 Issue: 2, 301 - 316, 15.06.2021
https://doi.org/10.7161/omuanajas.883999

Abstract

It is possible that the soil can sustainably perform the productivity function, which is very important for the terrestrial ecosystem, with the correct understanding and monitoring of its quality. The purpose of this study is to determine the distribution of physical, chemical, biological and total soil quality indexes or pasture soils located in Van Basin which has semi-arid terrestrial ecosystems. For this purpose, 150 soil samples were collected from surface soil (o-30 cm) in the study area which covers about 6024 ha. SMAF models includes 13 indicators such as aggregate stability, available water content, water-filled pore volume, total organic carbon, pH, electrical conductivity, the sodium adsorption ratio (SAR), microbial biomass carbon, available phosphorus, βeta-Glukosidaz enzyme activity, potential mineralizable nitrogen and available potassium as physical, chemical and biological indicators. In this present study, 11 indicators were used in SMAF model except for βeta-Glukosidaz enzyme activity, potential mineralizable nitrogen. According to obtained results, it is determined that while the chemical quality index of the meadow soils was in the low class, biological quality of them was found in high quality class. Apart from that, physical and total soil quality indexes were found as moderate quality class. Additionally, the distribution of biological soil quality index shows higher variation in the research area when it is compared with the other quality indexes. It is determined that the middle parts of the research area is in a low class for all quality indexes and the reason of this situation is that the highness of slope and soil erosion.

References

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  • Ahmed, G.B., Shariff, A.R.M., Balasundram, S.K., Fikri bin Abdullah, A., 2016. Agriculture land suitability analysis evaluation based multi criteria and GIS approach. IOP Conference Series: Earth and Environmental Science, 37, 012044, doi:10.1088/1755-1315/37/1/012044.
  • Amorim H.C.S., Ashworth A.J., Moore P., Wienhold B.J., Savin M.C., Owens P.R., Jagadamma S., Carvalho T.S., Xu S., 2020. Soil quality indices following long-term conservation pasture management practices. Agriculture Ecosystems & Environment 301(12):107060. doi: https://doi.org/10.1016/j.agee.2020.107060.
  • Andrews, S.S., Karlen, D., Cambardella, C.A., 2004. The soil management assessment framework: a quantitative soil quality evaluation method. Soil Sci. Soc. Am. J., 68: 1945–1962.
  • Arshad, M., Martin, S., 2002. Identifying critical limits for soil quality indicators in agro-ecosystems. Agriculture Ecosystems & Environment 88(2):153-160. doi: https://doi.org/10.1016/S0167-8809(01)00252-3.
  • Arshad, M.A., Martin, S., 2002. Identifying critical limits for soil quality indicators in agro-ecosystems. Ecosystems & Environment. 88, 153-160. doi: https://doi.org/10.1016/S0167-8809(01)00252-3.
  • Bayramin, İ., 2003. Beypazarı Topraklarının Medalus Metoduna Göre Toprak Kalite Toprak Kalite İndekslerinin Belirlenmesi Harran Üniv. Ziraat Fak. Derg., 7 (3-4):29.
  • Bilotta, G.S., Brazier, R.E., Haygarth, P.M., 2007. The impacts of grazing animals on the quality of soils, vegetation, and surface waters in intensively managed grasslands. Adv. Agron. 237–280. doi: https://doi.org/10.1016/S0065-2113(06)94006-1.
  • Blake, G.R., Hartge, K.H., 1986. Particle density. In Physical and Mineralogical Methods, Edited by: Klute, A. 377–382. Madison: Soil Science Society of America.
  • Byrnes, R.C., Eastburn, D.J., Tate, K.W., Roche, L.M., 2018. A global meta-analysis of grazing impacts on soil health indicators. J. Environ. Qual. 47, 758–765. doi: https://doi. org/10.2134/jeq2017.08.0313.
  • Carter, M.R., 2002. Soil Quality for Sustainable Land Management: Organic Matter and 442 Aggregation Interactions that Maintain Soil Functions. Agronomy 94, 38-47.
  • Chaubey, I., Chiang, L., Gitau, M.W., Mohamed, S., 2010. Effectiveness of best management practices in improving water quality in a pasture-dominated watershed. J. Soil Water Conserv. 65, 424–437. doi: https://doi.org/10.2489/jswc.65.6.424.
  • Chen, Y.D., Wang, H.Y., Zhou, J.M., Xing, L., Zhu, B.S., Zha, Y.C., Chen, X.Q., 2013. Minimum data set for assessing soil quality in farmland of Northeast China, Pedosphere, 23(5), 564–576.
  • Demirağ Turan, İ., Dengiz O., Özyazıcı M.A., 2018a. Land Qualıty Assessment For Agrıcultural Actıvıtıes In Sınop Provınce. Internatıonal Asıan Congress On Contemporary ScıenceS. April 15-24, 2019, Mecca – SAUDI ARABIA. Congress Proceedings Book, Pages 56-71.
  • Demirağ Turan, İ., Dengiz O., Özyazıcı M.A., 2018b. Trabzon İli Tarım Topraklarının Toprak Kalite İndeksinin Değerlendirilmesi. TÜCAUM 30. Yıl Uluslararası Coğrafya Sempozyumu International Geography Symposium on the 30th Anniversary of TUCAUM October 3-6, 2018, Ankara. Proceedings Book, Pages 651-661.
  • Demirag, Turan, I., Dengiz, O., Özkan, B., 2019. Spatial assessment and mapping of soil quality index for desertification in the semiarid terrestrial ecosystem using MCDM in interval type-2 fuzzy environment. Computers and Electronics in Agriculture, 164, 104933. doi: https://doi.org/10.1016/j.compag.2019.104933.
  • Dengiz, O., 2020. Soil quality index for paddy fields based on standard scoring functions and weight allocation method. Archives of Agronomy and Soil Science 66(3), 301-315. doi: https://doi.org/10.1080/03650340.2019.1610880.
  • Dengiz, O., İç, S., Saygın, F., İmamoğlu, A., 2020. Assessment of Soil Quality Index for Tea Cultivated Soils in Ortaçay Micro Catchment in Black Sea Region. Journal of Agricultural Sciences 26; 42-53.
  • Ditzler, C.A., Tugel. A.J., 2002. Soil Quality Field Tools: Experiences of USDA-NRCS Soil Quality Institute. Agronomy Journal 94: 33-38. Doran, J, Parkin, T.P., 1996. Quantitative Indicators of soil quality: A minimum data set. In: Doran J, Jones, A., editor. Methods for assessing soil quality. Wisconsin: Soil Science Society of America; 1996. p. Chapter 2.
  • Doran J.W., 2002. Soil health and global sustainability:translating science into practice. Agriculture, Ecosystems and Environment 88 (2002) 119–127. Doran J.W., Zeiss M., 2000. Soil health and sustainability: Managing the biotic component of soil quality. Applied Soil Ecology 15(1):3-11.
  • Doran, J. W., Jones, A. J. (Eds.) 1996. Methods for Assessing Soil Quality. SSSA Special Publication No. 49. Soil Sci. Soc. America. Madison, Wisc. Doran, J.W., Parkin, T.B., 1994. Defining and Assessing Soil Quality. Defining Soil 451 Quality for a Sustainable Environment, 3-21.
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There are 66 citations in total.

Details

Primary Language Turkish
Journal Section Anadolu Tarım Bilimleri Dergisi
Authors

Sena Pacci 0000-0001-6661-4927

Nursaç Serda Kaya 0000-0001-9814-5651

Orhan Dengiz 0000-0002-0458-6016

İnci Demirağ Turan 0000-0002-5810-6591

Publication Date June 15, 2021
Acceptance Date March 24, 2021
Published in Issue Year 2021 Volume: 36 Issue: 2

Cite

APA Pacci, S., Kaya, N. S., Dengiz, O., Demirağ Turan, İ. (2021). Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi. Anadolu Tarım Bilimleri Dergisi, 36(2), 301-316. https://doi.org/10.7161/omuanajas.883999
AMA Pacci S, Kaya NS, Dengiz O, Demirağ Turan İ. Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi. ANAJAS. June 2021;36(2):301-316. doi:10.7161/omuanajas.883999
Chicago Pacci, Sena, Nursaç Serda Kaya, Orhan Dengiz, and İnci Demirağ Turan. “Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi”. Anadolu Tarım Bilimleri Dergisi 36, no. 2 (June 2021): 301-16. https://doi.org/10.7161/omuanajas.883999.
EndNote Pacci S, Kaya NS, Dengiz O, Demirağ Turan İ (June 1, 2021) Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi. Anadolu Tarım Bilimleri Dergisi 36 2 301–316.
IEEE S. Pacci, N. S. Kaya, O. Dengiz, and İ. Demirağ Turan, “Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi”, ANAJAS, vol. 36, no. 2, pp. 301–316, 2021, doi: 10.7161/omuanajas.883999.
ISNAD Pacci, Sena et al. “Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi”. Anadolu Tarım Bilimleri Dergisi 36/2 (June 2021), 301-316. https://doi.org/10.7161/omuanajas.883999.
JAMA Pacci S, Kaya NS, Dengiz O, Demirağ Turan İ. Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi. ANAJAS. 2021;36:301–316.
MLA Pacci, Sena et al. “Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi”. Anadolu Tarım Bilimleri Dergisi, vol. 36, no. 2, 2021, pp. 301-16, doi:10.7161/omuanajas.883999.
Vancouver Pacci S, Kaya NS, Dengiz O, Demirağ Turan İ. Van Havzası İçerisinde Yer Alan Mera Arazilerinde SMAF Modeli Kullanılarak Toprak Kalitesinin Değerlendirilmesi. ANAJAS. 2021;36(2):301-16.
Online ISSN: 1308-8769