scholarly journals Effects of Changes of Lake Victoria Water Levels on Land Use Patterns, Covid-19 Pandemic and Food Security in Winam Gulf, Homa-Bay County, Kenya

Land Science ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. p67
Author(s):  
Otieno, J. ◽  
Otieno, A. C.
Keyword(s):  
Land Use ◽  
Food Security ◽  
Lake Victoria ◽  
Empirical Studies ◽  
Water Levels ◽  
Land Use Patterns ◽  
Back Flow ◽  
Use Patterns ◽  
Winam Gulf ◽  
The Government

The study was carried out on the Southern shore of Winam Gulf, Homa Bay County, Kenya. It was aimed at establishing the relationship among changes of Lake Victoria water levels, land use patterns and food security during the COVID-19 pandemic. Empirical studies involving ground point survey was used to determine the extent of spread of the back flow and vertical rise of the lake’s waters from five pier and nine beach survey points between July 2019 to October 2020. In-depth interviews and questionnaires were also used to collect data which were analyzed using descriptive statistics and Likert’s scale. The average variations of the extent of the back flow was approximately 294m while the vertical change in the water levels along the pier points was 1.03m. This led to submergence of the adjacent land use patterns and interfered with food security in the region. Coupled with the impacts of COVID-19 pandemic, majority (209) of the respondents substituted their meals and a quarter (79) of the them reduced their number of meals per day. A strong positive perception on the responses by the Government of Kenya and County Government Homa Bay towards addressing the pandemic with the Likert’s scale summative perception index of 381 very effective, 328 effective and 363 satisfactory were realized. The study recommends: observance and execution of environmental laws governing settlement on riparian lands, proactive compliance with the warnings and advice from the meteorological department, and adoption of alternative land use patterns.

scholarly journals Nutritional Status and Food Security of Farm Households under Different Land Use Patterns in Bangladesh

2013 ◽  
pp. 49-64 ◽  
Author(s):  
KMM Rahman ◽  
MS Islam
Keyword(s):  
Land Use ◽  
Food Security ◽  
Farm Households ◽  
Primary Data ◽  
Calorie Intake ◽  
Food Protein ◽  
Rice Farming ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Government

This study was aimed at estimating the impacts of changing land use patterns on food security for the farm households in Bangladesh. It was based on primary data collected from 730 households of different farm categories with direct interview method, which covered 14 existing most important land use patterns. The study revealed that households of alternate shrimp (bagda) and rice farming consumed the highest amounts of food followed by year round shrimp (bagda) farming whereas the highest per capita calorie intake was observed in households of alternate rice and wheat production. But households of year round shrimp (bagda) farming generated the highest amount of income followed by households of alternate shrimp (bagda) and rice farming, year round banana production and year round floriculture, respectively. But there were no systematic and regular patterns of relationships among income, food, protein and calorie intakes in different land use patterns. Large households consumed the highest amount of food and protein followed by medium, small and marginal households, respectively. All the land use patterns were found to increase major food security indicators and reduced poverty. All the 14 land use patterns should be made sustainable to the farmers by properly addressing environmental factors and by easing access of farmers to inputs and outputs markets by the government. DOI: http://dx.doi.org/10.3329/bjnut.v24i0.14036 Bangladesh J. Nutr. Vol. 24-25 Dec 2011-2012 pp.49-64

Conducting “Siteless Survey”: Results from Coastal New England

1993 ◽  
Vol 14 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Jordan E. Kerber
Keyword(s):  
Land Use ◽  
New England ◽  
Rhode Island ◽  
Careful Consideration ◽  
Archaeological Survey ◽  
Land Use Patterns ◽  
Use Patterns ◽  
Statistical Validity ◽  
Survey Results ◽  
Survey Strategy

Selecting an effective archaeological survey takes careful consideration given the interaction of several variables, such as the survey's goals, nature of the data base, and budget constraints. This article provides justification for a “siteless survey” using evidence from a project on Potowomut Neck in Rhode Island whose objective was not to locate sites but to examine the distribution and density of prehistoric remains to test an hypothesis related to land use patterns. The survey strategy, random walk, was chosen because it possessed the advantages of probabilistic testing, as well as the ease of locating sample units. The results were within the limits of statistical validity and were found unable to reject the hypothesis. “Siteless survey” may be successfully applied in similar contexts where the distribution and density of materials, as opposed to ambiguously defined sites, are sought as evidence of land use patterns, in particular, and human adaptation, in general.

scholarly journals Modeling Community-Scale Natural Resource Use in a Transboundary Southern African Landscape: Integrating Remote Sensing and Participatory Mapping

2021 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Kyle D. Woodward ◽  
Narcisa G. Pricope ◽  
Forrest R. Stevens ◽  
Andrea E. Gaughan ◽  
Nicholas E. Kolarik ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Resource Use ◽  
Training Data ◽  
Systems Science ◽  
Participatory Mapping ◽  
Land Use Patterns ◽  
Modeling Framework ◽  
Use Patterns ◽  
Human Habitation

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape cannot be positively identified without fine-scale land use data for validation. Using field-mapped resource areas and household survey data from participatory mapping research, we combined various Landsat-derived indices with ancillary data associated with human habitation to model the intensity of grazing and NTFP collection activities at 100-m spatial resolution. The study area is situated centrally within a transboundary southern African landscape that encompasses community-based organization (CBO) areas across three countries. We conducted four iterations of pixel-based random forest models, modifying the variable set to determine which of the covariates are most informative, using the best fit predictions to summarize and compare resource use intensity by resource type and across communities. Pixels within georeferenced, field-mapped resource areas were used as training data. All models had overall accuracies above 60% but those using proxies for human habitation were more robust, with overall accuracies above 90%. The contribution of Landsat data as utilized in our modeling framework was negligible, and further research must be conducted to extract greater value from Landsat or other optical remote sensing platforms to map these land use patterns at moderate resolution. We conclude that similar population proxy covariates should be included in future studies attempting to characterize communal resource use when traditional spectral signatures do not adequately capture resource use intensity alone. This study provides insights into modeling resource use activity when leveraging both remotely sensed data and proxies for human habitation in heterogeneous, spectrally mixed rural land areas.

Typologies of sprawl: investigating United States metropolitan land use patterns

2013 ◽  
Vol 35 (1) ◽  
pp. 48-70 ◽  
Author(s):  
Andrea Sarzynski ◽  
George Galster ◽  
Lisa Stack
Keyword(s):  
United States ◽  
Land Use ◽  
Land Use Patterns ◽  
Use Patterns
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