Spatiotemporal modeling of nutrient retention in a tropical semi-arid basin

Year 2020, Volume: 3 Issue: 4, 225 - 237, 31.12.2020

Saheed Adekunle Raji Shakirudeen Odunuga Mayowa Fasona

https://doi.org/10.35208/ert.782409

Cited By: 3

Abstract

The Sokoto-Rima basin defines the natural and socioeconomic lifeblood of northwestern Nigeria. Its agrarian nature is an indication of significant dependence on the supply of ecosystem services from its various rivers, streams, and wetlands. However, nitrogen (N) and phosphorus (P) constitute a great portion of chemical fertilizers used to enhance crop yields and poor management of these portend great threats for water quality. The overarching objective of this study was to examine the extent of spatial variation of nutrient dynamics in the Sokoto-Rima basin between 1992 and 2015 using the nutrient delivery ratio (NDR) model of InVEST (Integrated Valuation of Ecosystem Service and Tradeoffs) software. Land use/landcover, precipitation, digital elevation, and biophysical variables were the principal datasets employed as model input. The result of the study showed that the surficial N load is almost 15-fold of P in the Sokoto-Rima basin. Over the period of study, cultivated areas and rivers were spatially detected as nutrient sources and sinks respectively. The subsurface nutrient load is dominated by P while the amount of N load is insignificant. The trend of nutrient export is linearly defined: with 0.87% and 1.7% increase in N and P export respectively during 1992-2015. N and P exports vary spatially with a north-south increase-decrease index. Critical length and threshold are highly sensitive to changes in the parameterization of the NDR model. Thus, synergistic cultivation practices such as agroforestry should be extended to existing crop cultivation complexes to curtail nutrient enrichment in the Sokoto-Rima basin and ensure environmental sustainability.

Keywords

Ecosystem services, InVEST, nutrient modeling, semi-arid, Sokoto-Rima basin, spatial variation

Supporting Institution

None

Project Number

None

Thanks

The authors acknowledged the contributions of the proposed reviewers towards ensuring that the paper turns out excellent.

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