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2024 | OriginalPaper | Buchkapitel

Decadal Change of Soil Fertility in Bangladesh: A Spatial Data Analysis of Survey of Three Regions

verfasst von : Muhammad Rehan Dastagir, Mohammed Motaher Hossain, Md. Liaquat Hossain

Erschienen in: Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (3rd Edition)

Verlag: Springer Nature Switzerland

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Abstract

Intensive agriculture has been practiced in Bangladesh for the last few decades with the use of fertilizer, pesticides, hybrid crops and monoculture having significant impacts on agro-ecosystem. It is necessary to evaluate the present fertility status in comparison with the previous one. This study was carried out on the soil survey data of Soil Resource Development Institute (SRDI) in Bangladesh. The organization has detailed soil surveys along for the last few decades. However, till today no spatial comparison has been made by the institute. The authors compared the surveyed (semi-detailed) data of few agro-ecological zones of the country of three Upazilas (subunit of a district): Monohardi (139.87 km2), Faridpur Sadar (407 km2) and Manikganj Sadar (214.8 km2) comprising of 120 sampling points each 300-m interval across the study area. The study area is under tropical climate with soil texture ranges from clay loam to loam. Response of soil parameters was studied in different layers of soil by performing an ordinal logistic regression to model soil parameters (pH, organic matter, N, P, K, S, Zn, B, Ca, Mg, Cu, Fe, Mn) to categorize soil heights (highland, mid-highland, lowland and very lowland) in relation to flood line. A good fitting of the model showed that soil survey data could be modeled properly by using this regression model. At Faridpur and Monohardi Upazilas, the model fitted well with survey data (chi-square, X2 = 176.923, p = 0.845 and chi-square, X2 = 246.343, p = 0.813) where p > 0.05. However, at Manikganj Upazila, some discrepancy was found. A weak response was found between soil parameters with soil heights from 1990s to 2010s. This weak association was profound in macronutrients than micronutrients. Nutrient interaction of soil also studied in a correlation matrix. The correlation matrix also revealed the decreased association of soil macronutrients across the decades. It was concluded that the weak association among macronutrients in recent decades is due to addition of fertilizers by intensive agricultural practices.

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Literatur
Zurück zum Zitat Cultural Survey Report 2007, Bangladesh Population Census 2001, Bangladesh Bureau of Statistics. Cultural Survey Report 2007, Bangladesh Population Census 2001, Bangladesh Bureau of Statistics.
Zurück zum Zitat Land and Soil Resource User Manual. Soil Resource Development Institute, Ministry of Agriculture, Dhaka-1215, Bangladesh. Land and Soil Resource User Manual. Soil Resource Development Institute, Ministry of Agriculture, Dhaka-1215, Bangladesh.
Zurück zum Zitat Lu, P., Wang, H., & Tolliver, D. (2019). Prediction of bridge component ratings using ordinal logistic regression model. Mathematical Problems in Engineering. Lu, P., Wang, H., & Tolliver, D. (2019). Prediction of bridge component ratings using ordinal logistic regression model. Mathematical Problems in Engineering.
Zurück zum Zitat Pagiola, S. (1995). Environmental and natural resource degradation in intensive agriculture in Bangladesh. Environmental Economic Series-15. The World Bank. Pagiola, S. (1995). Environmental and natural resource degradation in intensive agriculture in Bangladesh. Environmental Economic Series-15. The World Bank.
Zurück zum Zitat Shah, A. L., Rahman, M. S., & Aziz, M. A. (2008). Outlook for fertilizer consumption and food production in Bangladesh. Bangladesh Journal of Agriculture and Environment, 4, 9–26. Shah, A. L., Rahman, M. S., & Aziz, M. A. (2008). Outlook for fertilizer consumption and food production in Bangladesh. Bangladesh Journal of Agriculture and Environment, 4, 9–26.
Metadaten
Titel
Decadal Change of Soil Fertility in Bangladesh: A Spatial Data Analysis of Survey of Three Regions
verfasst von
Muhammad Rehan Dastagir
Mohammed Motaher Hossain
Md. Liaquat Hossain
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-43922-3_72