Abstract
AbstractWetlands played an important role in human development and nature nutrient store for rice cultivation. Spatial techniques have gained importance in monitoring wetland changes. The study aimed to assess wetland soils for rice production using spatial techniques. The area was sample using stratified grid sampling. Nutrient availability and rice suitability were assessed in ArcGIS 10.6 environment. The soil was characterized into Eutric fluvaquent (Soil Survey Staff, 2010) and correlated as fluvisols in the World Reference Base system. The results of the land cover changes showed that built-up, waterbody, and farmland have increased by 39, 18, and 29%, respectively, and 13% decrease was observed in vegetation. The study concluded that soils of the studied area varied from marginally (75%), not suitable (20%), and permanently not suitable (5%) for rice production. Therefore, without proper assessment and management of these studied soils, rice production will continue to be futile.
Highlights
Rice (Oryza sativa) serves as an important staple food crop belonging to the Gramineae family [1]
About 80% of rice land is cultivated on wetlands, and this accounts for 93% of world rice production (International Rice Research Institute)
In order to ensure that their reliability and appropriateness, the variogram models were validated with root mean square error (RMSE)
Summary
Rice (Oryza sativa) serves as an important staple food crop belonging to the Gramineae family [1]. In Nigeria, wetland cultivation is being emphasized especially for rice production [10,11,12]. Application of technological advances such as geographic information system (GIS) and remotely sensed (RS) data made possible to study the changes in wetland in less time, at low cost, and with better accuracy, especially when consistent and spatial data are essential [22,23,24,25,26]. Integration of RS and GIS has proved to serve as indispensable tools in mapping potential suitability of wetland soils in a study [28]. This study aimed at the assessment of LULC change in wetland soils for rice production in Ajibode using an objectbased analysis tool
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