Mapping and analyzing the land use–land cover of nigeria between 2001 and 2009

Abbas, Idowu Innocent; Bello, Olalekan Mumin; Abdullahi, Hannatu

doi:10.15406/mojes.2018.03.00087

Cited by 8 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An estimated 0.03% of the watershed land area preoccupied with evergreen forests land use was lost predominantly to urbanisation and agriculture between 1975 and 2000 (Table 5). This observation aligns with earlier scholars who had investigated land use in other watersheds globally [51][52][53][54][55]. The period between 1975 and 2013 (38 years) witnessed 23.92% range grasses' loss.…”

Section: Relationship Between Land-use Change and Land-use Area Sizesupporting

confidence: 89%

Impacts of Land-Use Change, Associated Land-Use Area and Runoff on Watershed Sediment Yield: Implications from the Kaduna Watershed

Japheth

Adepehin

Ekhwan

et al. 2022

Water

View full text Add to dashboard Cite

An uncontrolled sediment influx from the watershed upstream is a known threat to dam stability, while the pattern and amount of sediment yield are influenced by the predominant upstream land-use and land cover (LULC) types, precipitation amount, and intensity. Hence, the need to monitor sediment yield accumulation and its controlling factors in dam operation becomes crucial. In this paper, the Soil and Water Assessment Tool (SWAT) was used to assess the roles of land-use change, land cover area, and runoff on watershed’s sediment yield based on change detection analysis between 1975 and 2013 in the Kaduna Watershed (Nigeria), Western Africa. The SWAT standard procedures for the simulation of hydrological characteristics and sediment yields prediction were adopted. The datasets were calibrated for a period of 46 years and validated using 2015–2017 measured flow data, and suspended sediments concentration (SSC) acquired between March and October 2018. The model function was statistically determined using the Nash-Sutcliffe (NS), the coefficient of determination (r2) and the percentage of observed data (p-factor). The evaluation results of the SWAT model yielded NS, r2 and p-factor of 0.71, 0.80, and 0.86, respectively. These data suggest that the model performed satisfactorily for streamflow and sediment yield predictions. Findings suggest that the extinction of evergreen forests and a significant change in land-use from range grasses and forest to agriculture generic and residential types between 1975 and 2013, which resulted in surface runoff, sediment yield, and flow alteration. Evapotranspiration increased by 22.40% between 1975 and 2013. These changes have negatively impacted the watershed runoff by 56.00% and model sediment yield by 68.00% at the end of 2013. Thus, these variations can influence various human activities in the watershed, such as food security, livestock, energy production and water supply. It is hypothesized from the presented data that land use types exact a more dominant control on runoff and sediment yield than land cover area, although climatic influence may not be ruled out.

show abstract

Section: Relationship Between Land-use Change and Land-use Area Sizesupporting

confidence: 89%

Impacts of Land-Use Change, Associated Land-Use Area and Runoff on Watershed Sediment Yield: Implications from the Kaduna Watershed

Japheth

Adepehin

Ekhwan

et al. 2022

Water

View full text Add to dashboard Cite

show abstract

“…4). Examination of the three analysis shows that the major human activities that took place in the watershed is the conversion of forest evergreen, range grasses and wetlands mixed to mostly agriculture, urban and other forms of land-use types, corroborating other studies (Abbas, Bello & Abdullahi, 2018;Arowolo & Deng, 2018;CILSS, 2016) (Table 5). Forest evergreen land-use lost 0.03% watershed land area between the 1975 and 2000 to other land-use types most especially to urban (Aruofor, 2001;FAO, 2008;Ejemeyovwi, 2009;CILSS, 2016;Arowolo & Deng, 2018;Ezemedo & Igbokwe, 2013) (Table 6).…”

Section: Land-use Land Cover Change In the Year 2000supporting

confidence: 83%

“…These losses were mostly gained by agriculture land-use that increased by 15.51% between the year 1975 and 2000 and gained additional increase of 12.3% between 2000 and 2013 making a total of 27.81% watershed land area gained (CILSS, 2016;Arowolo & Deng, 2018). Most of the places that were basically range grasses land-use type in the year 1975 have been taking over by agricultural land as at the end of 2013 this result validates Abbas et al (2018); Arowolo & Deng (2018); CILSS (2016). Wetlands mixed gained 0.26% watershed land area between the year 1975 and 2000 and loss 0.08% of watershed land area between 2000 and 2013 however, as at the end of the 2013 wetlands mixed has gained a total of 0.18 watershed land area.…”

Section: Land-use Land Cover Change In the Year 2000supporting

confidence: 59%

Assessment of landuse/landcover dynamics of Kaduna watershed, using remote sensing data and GIS techniques

et al. 2022

View full text Add to dashboard Cite

Watershed assessment and developmental strategy demands precise measurement of the past and present land use parameters. Failure of Shiroro dam in 1999 and 2004 was attributes to upstream soil erosion. Hence, the study of land use change within the corridors of the reservoir for proper understanding of the watershed dynamics becomes very crucial. These dynamics was studied for a period of 38 years in the Kaduna watershed, north central Nigeria using Soil and Water Assessment Tool. The land-use land cover of the year 1975, 2000, and 2013 was reclassified into nine (9) classes in 1975 and eight (8) classes in 2000 and 2013, because of the extinction of Forest evergreen land use between 1975 and 2000.The classification shows the percentage land area of each of the land use type and the area in hectares. Findings revealed total extinction of the 0.03% of Forest evergreen land before 2000, in 2013 range grasses, forestmixed and wetlands-forested land-use have lost 23.92%, 2.06%, 3.77%, watershed land area respectively while, wetlands-mixed, agricultural land, water, barren and built-up land gained 0.18%, 27.81%, 0.53%, 0.02% and 1.25% respectively as at 2013. The lost in land-use area was attributed to human activities such as clearing and degradation of the natural landscape to another land-use type which posed a stern threat to the Shiroro dam downstream and the environment. If this persists it might contribute to global warming problems and land exposure to agents of erosion. Thus, appropriate best management practice of the watershed become essential.

show abstract

“…Magnitude Changes (MCs) in class area occurred between 2007 and 2014 and the corresponding Trend Percentage Changes (TPCs) were computed for each habitat class by using the following formulas [33,34]:…”

Section: Changesmentioning

confidence: 99%

Monitoring and Recording Changes in Natural Landscapes: A Case Study from Two Coastal Wetlands in SE Italy

Tomaselli

Veronico

Adamo

2021

Land

View full text Add to dashboard Cite

This study analyzed and evaluated the changes that occurred in two coastal wetlands, characterized by complex and fragmented landscape patterns, in Southern Italy, which were monitored over a period of seven years from 2007 to 2014. Furthermore, the performances of two Land Cover (LC) and habitat taxonomies, compared for their suitability in mapping the identified changes, were assessed. A post-mapping method was adopted to detect the habitat/LC changes that occurred in the study period. Various changes were identified, both inter-class changes (class conversions) and intra-class changes (class modifications), and quantified by means of transition matrices. Conversions were easily mapped, while the modification mapping depended on the taxonomy adopted: the Land Cover Classification System (LCCS) allowed the detection of morpho-structural changes in woody vegetation, but the European Nature Information System (EUNIS) showed a higher thematic resolution for the salt marsh types. The detected changes were related to specific impacts, pressures and underlying factors. Landscape indices highlighted different trends in landscape richness and complexity in the two sites. Changes are occurring very quickly in the observed coastal sites and the ongoing dynamics are strictly related to their small size and complexity. For effective monitoring and detection of change in these environments, the coupling of EUNIS and LCCS is suggested.

show abstract

Mapping and analyzing the land use–land cover of nigeria between 2001 and 2009

Cited by 8 publications

References 2 publications

Impacts of Land-Use Change, Associated Land-Use Area and Runoff on Watershed Sediment Yield: Implications from the Kaduna Watershed

Impacts of Land-Use Change, Associated Land-Use Area and Runoff on Watershed Sediment Yield: Implications from the Kaduna Watershed

Assessment of landuse/landcover dynamics of Kaduna watershed, using remote sensing data and GIS techniques

Monitoring and Recording Changes in Natural Landscapes: A Case Study from Two Coastal Wetlands in SE Italy

Contact Info

Product

Resources

About