scholarly journals Implications of Land Use Land Cover Change and Climate Variability on Future Prospects of Beef Cattle Production in the Lake Victoria Basin

2015 ◽  
Vol 04 (05) ◽  
pp. 461-473 ◽  
Author(s):  
Japhet Joel Kashaigili ◽  
Emmanuel Zziwa ◽  
Siwa Ernest ◽  
Emma Laswai ◽  
Bernard Musana Segatagara ◽  
...  
Keyword(s):  
Land Use ◽  
Climate Variability ◽  
Beef Cattle ◽  
Land Cover Change ◽  
Lake Victoria ◽  
Land Use Land Cover ◽  
Future Prospects ◽  
Cattle Production ◽  
Lake Victoria Basin ◽  
Beef Cattle Production

scholarly journals Partitioning the impacts of land use/land cover change and climate variability on water supply over the source region of the Blue Nile Basin

2020 ◽  
Vol 31 (15) ◽  
pp. 2168-2184
Author(s):  
Marye Belete ◽  
Jinsong Deng ◽  
Ghali A. Abubakar ◽  
Menberu Teshome ◽  
Ke Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Climate Variability ◽  
Water Supply ◽  
Land Cover Change ◽  
Source Region ◽  
Land Use Land Cover ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin

scholarly journals Land Use and Land Cover Change as an Indicator of Watershed Urban Development in the Kenyan Lake Victoria Basin

2021 ◽  
Vol 16 (2) ◽  
pp. 335-345
Author(s):  
Dancan Otieno Onyango ◽  
Christopher O. Ikporukpo ◽  
John O. Taiwo ◽  
Stephen B. Opiyo
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Agricultural Land ◽  
Lake Victoria ◽  
Water Bodies ◽  
Natural Environments ◽  
Land Use Land Cover ◽  
Lake Victoria Basin ◽  
Ecological Value ◽  
Bare Land

The socio-economic and ecological value of Lake Victoria is threatened by significant regional development and urbanization. This study analyzed spatial-temporal land use/land cover changes in the Kenyan Lake Victoria basin from 1978–2018 using Landsat 3, 4-5 and 8 imagery, with a view to identifying the extent and potential impacts of urbanization on the basin. Supervised image classification was undertaken following the Maximum Likelihood algorithm to generate land use/land cover maps at ten-year intervals. Results indicate that the basin is characterized by six main land use/land cover classes namely, agricultural land, water bodies, grasslands and vegetation, bare land, forests and built-up areas. Further, the results indicate that the basin has experienced net increases in built-up areas (+97.56%), forests (+17.30%) and agricultural land (+3.54%) over the last 40 years. During the same period, it experienced net losses in grassland and vegetation (-37.36%), bare land (-9.28%) and water bodies (-2.19%). Generally, the changing landscapes in the basin are characterized by conversion of natural environments to built-up environments and driven by human activities, urban populations and public policy decisions. The study therefore recommends the establishment of a land use system that creates a balance between the ecological realm and sustainable development.

scholarly journals Quantifying Land Use Land Cover Changes in the Lake Victoria Basin Using Satellite Remote Sensing: The Trends and Drivers between 1985 and 2014

2020 ◽  
Vol 12 (17) ◽  
pp. 2829 ◽  
Author(s):  
Robinson Mugo ◽  
Rose Waswa ◽  
James W. Nyaga ◽  
Antony Ndubi ◽  
Emily C. Adams ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Urban Areas ◽  
Lake Victoria ◽  
Small Scale ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Lake Victoria Basin ◽  
Basin Scale

The Lake Victoria Basin (LVB) is a significant resource for five states within East Africa, which faces major land use land cover changes that threaten ecosystem integrity and ecosystem services derived from the basin’s resources. To assess land use land cover changes between 1985 and 2014, and subsequently determine the trends and drivers of these changes, we used a series of Landsat images and field data obtained from the LVB. Landsat image pre-processing and band combinations were done in ENVI 5.1. A supervised classification was applied on 118 Landsat scenes using the maximum likelihood classifier in ENVI 5.1. The overall accuracy of classified images was computed for the 2014 images using 124 reference data points collected through stratified random sampling. Computations of area under various land cover classes were calculated between the 1985 and 2014 images. We also correlated the area from natural vegetation classes to farmlands and settlements (urban areas) to explore relationships between land use land cover conversions among these classes. Based on our land cover classifications, we obtained overall accuracy of 71% and a moderate Kappa statistic of 0.56. Our results indicate that the LVB has undergone drastic changes in land use land cover, mainly driven by human activities that led to the conversion of forests, woodlands, grasslands, and wetlands to either farmlands or settlements. We conclude that information from this work is useful not only for basin-scale assessments and monitoring of land cover changes but also for targeting, prioritizing, and monitoring of small scale, community led efforts to restore degraded and fragmented areas in the basin. Such efforts could mitigate the loss of ecosystem services previously derived from large contiguous land covers which are no longer tenable to restore. We recommend adoption of a basin scale, operational, Earth observation-based, land use change monitoring framework. Such a framework can facilitate rapid and frequent assessments of gains and losses in specific land cover classes and thus focus strategic interventions in areas experiencing major losses, through mitigation and compensatory approaches.

scholarly journals Future climate variability will challenge rangeland beef cattle production in the Great Plains

Rangelands ◽  
2020 ◽  
Author(s):  
David D. Briske ◽  
John P. Ritten ◽  
Amber R. Campbell ◽  
Toni Klemm ◽  
Audrey E. King
Keyword(s):  
Climate Variability ◽  
Beef Cattle ◽  
Great Plains ◽  
Future Climate ◽  
Cattle Production ◽  
Beef Cattle Production
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