An Assessment of high human population density and its impacts on land resources in Moshi district council, Tanzania

Type Thesis or Dissertation - Master of Science in Environmental Management
Title An Assessment of high human population density and its impacts on land resources in Moshi district council, Tanzania
Author(s)
Publication (Day/Month/Year) 2013
URL http://scholar.mzumbe.ac.tz/bitstream/handle/11192/818/MSc-EM- Dissertation-Emmanuel​Alphonce-2013.pdf?sequence=1
Abstract
This study attempted to assess the impacts of high human population density on land
resources in Moshi District Council. Generally, other studies show that, developing
countries experiencing the high demographic pressures while land resource to support
the growth is fixed or limited and the mechanisms to adapt to, grow very slowly.
Specifically, there is an extremely high human population density in areas around
Kilimanjaro, especially in the Moshi District Council. This leads to land shortage that
would be useful for agricultural production and infrastructure development, poor
settlement planning, land use conflicts, land degradation, and serious environmental
implications that can be linked to the increase of poverty level including lack of
employment to the youth.
This study used a case study design and sampling techniques based on purposive/non
probability sampling and simple random sampling/probability sampling, while the
sample size of a hundred respondents that was taken, was based on Nassiuma’s
formula. The type and source of data were entirely on primary and secondary sources
related to the study topic studied. The methods of data collection based on, written
questionnaires/structured interview for key informants and field respondents, field
observation of human settlement arrangement and cultivation areas. The documentary
technique based on, written sources/secondary sources i.e. related reports, population
census, books, and internet.
Finally, the data were analysed and presented with descriptive statistics such as
percentage, frequency, graphs and tables. This was done by using the Statistic Package
for Social Science (SPSS) version 16. Microsoft Excel was used to produce charts and
graphs and Microsoft Word was used in compiling and writing up the reports.

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