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Assessment of Vegetation Productivity in the Northern Part of Nigeria

American Journal of Climate Change 2017年第2期6卷 360-373页

作者： sadiq abdullahi yelwa Umar Usman Department of Geography Usmanu Danfodiyo University Sokoto Nigeria Department of Mathematics Usmanu Danfodiyo University Sokoto Nigeria

Climate change is one of the greatest threats facing the global community and has been mainly induced by increasing atmospheric concentrations of greenhouse gases resulting from fossil fuel energy use and change in vegetation cover. This study used modelling techniques to determine how changes in climate could affect vegetation productivity in the northern part of Nigeria. Climatic parameters (Rainfall, Minimum and Maximum Temperatures) as well as coarse Normalised Difference Vegetation Index (NDVI) data for the growing seasons of 1981-2009 were utilised. Because of the relationship between climatic parameters and vegetation, Spatial method of data interpolation was tested. Results from the prediction elevation values ranged from -3e-9 to 2e-9. It was observed from prediction variance map that the values were higher in the upper portion of the study area which comprised Gusau (GS), Jos (JS), Katsina (KT), Minna (MN) and Zaria (ZR) and lower in the middle and lower parts of the study area which comprised mainly Funtua, Kano, Maiduguri and Sokoto. Further studies are encouraged with high resolution imageries and more meteorological data to cover the montane and forest zone of the country to determine the level of climatic impacts particularly on vegetation productivity in general.

关键词： Climate Change Regression-Kriging (RK) and Normalized Difference Vegetation Index (NDVI) Linear Model Digital Elevation Model (DEM)

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Environmental Mapping of Potential Habitats for Anthropod Vectors of Trypanosomiasis in Northern Nigeria

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Journal of Geoscience and Environment Protection 2021年第9期9卷 34-51页

作者： sadiq abdullahi yelwa Kabiru Bilalu Abdulhamid Yahuza Nura Garba Department of Environmental and Resources Management Faculty of Engineering and Environmental Design Usmanu Danfodiyo University Sokoto Nigeria

This paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out potential habitats of anthropod vectors responsible for trypanosomiasis in northern Nigeria. These geographical locations are areas with high population of livestock in Nigeria. Animal Trypanosomiasis is considered as an arthropod-borne viral disease which is endemic in about 37 countries of the sub-Saharan Africa and in particular northern Nigeria. This anthropod-borne viral disease remains a threat to both humans and livestock in many communities, and the outbreak of such diseases is shown to relate to fluctuations in the changing climate mostly experienced whenever there are changes in global precipitation which also relates to changes in sea surface temperatures otherwise known as “El Niňo Southern Oscillations” (ENSO). Monthly Satellite imageries in the form of Normalised Difference Vegetation Index (NDVI) at 250 meters spatial resolution obtained from NASA-MODIS/CMD were subjected to principal component analysis utilizing the standardize

关键词： Trypanosomiasis Habitat Cost Effective Measures Principal Component Analysis (PCA) El–Niño Southern Oscillations (ENSO)

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Spatio-Temporal Assessment of Vegetation Resource Dynamics in Nigeria from SPOT Satellite Imageries

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American Journal of Climate Change 2019年第4期8卷 502-519页

作者： sadiq abdullahi yelwa Aliyu Bilya Sanda Umar Usman Department of Environmental and Resources Management Faculty of Engineering and Environmental Design Usmanu Danfodiyo University Sokoto Nigeria Department of Mathematics and Statistics Faculty of Science Usmanu Danfodiyo University Sokoto Nigeria

Vegetation resources in Nigeria are of vital importance for the sustainable development of the country. However, this essential resource is in danger due to the effect of anthropogenic and climate induced impacts. Currently desert encroachment which cuts across the Sahel is affecting most of the states in the northern part of the country particularly the eleven states considered by the Federal Ministry of Environment in Nigeria as the frontline states. Several studies on the Nigerian environment have shown that there are serious threats to the general environment particularly vegetation. Due to population growth and the need for housing as well as the expansion of the over-utilised farmlands across these states, places considered as reserved areas across the country are being exploited to the detriment of the vegetal resources particularly the forest and rangeland areas. This study utilized Idrisi TerrSet (version 18) raster-based remote sensing and GIS software to analyse seventy two (72) dekadal Normalised Vegetation Index (NDVI) imageries from SPOT satellite covering Nigeria in order to assess the anthropogenic and likely climatic impacts on the vegetal resources using the forward t-mode Principal Component Analysis (PCA) with standardised principal components. Results indicated that Component 1 which explains about 69% of the 72 time-series NDVI imageries shows typical vegetation cover over the study area within the time period under study. While component two indicated a cyclic trend differentiating the ENSO events of 1999 and 2009;component three indicated positive anomaly pattern of vegetation NDVI mostly within Sokoto, Kebbi, Kano, Jigawa and the northern parts of Bauchi, Yobe and Borno states. However, Component four imagery indicated a likely link to the 2009 flood that affected Kainji dam and rivers Niger and Benue. For a better result, the integration of socio-economic and high spatial resolution data into an assessment of this kind in future studies is

关键词： Vegetation Resources Desertification NDVI SPC

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Integration of RUSLE Model with Remote Sensing and GIS Tools for Soil Loss Estimation in the Kubanni Drainage Basin, Zaria, Nigeria

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Journal of Geoscience and Environment Protection 2024年第11期12卷 173-190页

作者： Kenneth Onyemauche Ezenwa Reuben Jobien Jacob sadiq abdullahi yelwa Department of Geography Nigerian Defence Academy Kaduna Nigeria Department of Geomatics Ahmadu Bello University Zaria Nigeria Department of Environmental and Resources Management Usmanu Danfodiyo University Sokoto Nigeria

The prevalence of unwholesome land use practices and population pressure exacerbates soil loss which is worsening the problem of sedimentation of the Kubanni dam. This study was conducted at the Kubanni drainage basin covering a spatial area of 56.7 Km2 in Samaru, Zaria, Nigeria to estimate annual soil loss using the RUSLE model. Satellite images of Landsat OLI for December 2014, 2016, 2018, February, July and November 2022;soil data, rainfall data from 2010 to 2022, and DEM of 30-meter resolution were utilized for the study. All factors of the RUSLE model were calculated for the basin using assembled data. The erosivity (R-factor) was discovered to be 553.437 MJ∙mm∙ha−1∙h−1∙yr−1. The average erodibility (K-factor) value was 0.1 Mg∙h∙h∙ha−1∙MJ−1∙mm−1∙yr−1. The Slope Length and Steepness factor (LS-factor) in the basin ranged between 0% and 13.47%. The Crop Management Factor (C-factor) values were obtained from a rescaling of the NDVI values derived for the study area and ranged from 0.26 to 0.55. Support practice (P-factors) were computed from the prevalent tillage practice in the basin and ranged from 0.27 to 0.40. The soil loss amount for the Kubanni basin was found to be 28441.482 tons∙ha−1∙yr−1, while the annual soil loss for the entire Kubanni drainage basin was found to be 49780.257 tons∙yr−1. The study has demonstrated the viability of coupling RUSLE model and Remote Sensing and Geographic Information System (GIS) techniques for the estimation of soil loss in the Kubanni drainage basin.

关键词： Soil Loss Watershed Erosivity (R-Factor) Erodibility (K-Factor) Cover Management Factor (C-Factor) Slope Length and Steepness Factor (LS-Factor) Support Practice Factor (P-Factor)

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