Impact of Land Use Changes on Wildlife Population in The Kimbi-Fungom National Park, North West Region, Cameroon

Author(s):  
Amos Fang Zeh ◽  
Nkwatoh Athanasius Fuashi ◽  
Melle Ekane Maurice
2012 ◽  
Vol 7 (No. 1) ◽  
pp. 10-17 ◽  
Author(s):  
S. Wijitkosum

Soil erosion has been considered as the primary cause of soil degradation since soil erosion leads to the loss of topsoil and soil organic matters which are essential for the growing of plants. Land use, which relates to land cover, is one of the influential factors that affect soil erosion. In this study, impacts of land use changes on soil erosion in Pa Deng sub-district, adjacent area of Kaeng Krachan National Park, Thailand, were investigated by applying remote sensing technique, geographical information system (GIS) and the Universal Soil Loss Equation (USLE). The study results revealed that land use changes in terms of area size and pattern influenced the soil erosion risk in Pa Deng in the 1990–2010 period. The area with smaller land cover obviously showed the high risk of soil erosion than the larger land cover did.


2020 ◽  
Vol 12 (4) ◽  
pp. 1570 ◽  
Author(s):  
Mads Christensen ◽  
Jamal Jokar Arsanjani

The United Nations 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDG’s) presents a roadmap and a concerted platform of action towards achieving sustainable and inclusive development, leaving no one behind, while preventing environmental degradation and loss of natural resources. However, population growth, increased urbanisation, deforestation, and rapid economic development has decidedly modified the surface of the earth, resulting in dramatic land cover changes, which continue to cause significant degradation of environmental attributes. In order to reshape policies and management frameworks conforming to the objectives of the SDG’s, it is paramount to understand the driving mechanisms of land use changes and determine future patterns of change. This study aims to assess and quantify future land cover changes in Virunga National Park in the Democratic Republic of the Congo by simulating a future landscape for the SDG target year of 2030 in order to provide evidence to support data-driven decision-making processes conforming to the requirements of the SDG’s. The study follows six sequential steps: (a) creation of three land cover maps from 2010, 2015 and 2019 derived from satellite images; (b) land change analysis by cross-tabulation of land cover maps; (c) submodel creation and identification of explanatory variables and dataset creation for each variable; (d) calculation of transition potentials of major transitions within the case study area using machine learning algorithms; (e) change quantification and prediction using Markov chain analysis; and (f) prediction of a 2030 land cover. The model was successfully able to simulate future land cover and land use changes and the dynamics conclude that agricultural expansion and urban development is expected to significantly reduce Virunga’s forest and open land areas in the next 11 years. Accessibility in terms of landscape topography and proximity to existing human activities are concluded to be primary drivers of these changes. Drawing on these conclusions, the discussion provides recommendations and reflections on how the predicted future land cover changes can be used to support and underpin policy frameworks towards achieving the SDG’s and the 2030 Agenda for Sustainable Development.


1983 ◽  
Vol 10 (3) ◽  
pp. 213-224 ◽  
Author(s):  
Shiu-Hung Luk

In the Maowusu Desert—which in the south-east encompasses part of the Yulin Region, Shaanxi Province, and in the north-west the Ih Ju League, Inner Mongolia Autonomous Region—desertification trends in relation to the impact of droughts and land-use changes were investigated. Data derived from Earth resources technology satellites (LANDSAT I and LANDSAT II, 1974–1978), and Chinese documentary sources, were used for the analysis. It was found that desert ‘expansion’ occurred during 1953–76, but the rates of expansion varied over time and space, relatively rapid desertification being observed for 1959–63 and 1971–76. The bulk of the expansion was located in the more arid Ih Ju League. The mean annual rate of areal expansion was 6.4% during 1958–71. By comparing the desertification rates with precipitation and land-use information, it was established that droughts have only accentuated the desertification process. The primary cause of desert expansion is the excessive clearing of land for rain-fed agriculture as well, of course, as overgrazing. Another contributory factor was culling of vegetation for fuel and raw materials for handicraft industries.Efforts have been expended on desert control since the mid-1950s, resulting in the arresting of desertification in some local areas. The individual success stories demonstrate that, with mass participation, effective desert control can be achieved by using low-level technology. However, the Chinese programme of desert control was not conceived as a comprehensive programme. Control activities relied almost exclusively on vegetational methods, and they were seldom coordinated with land-use policies as well as with the planning of energy supplies. The negligence of the fundamental conflict between expanding agricultural activities and desert control has led to a net desert expansion in the last 30 years. Recognition of this fundamental conflict and implementation of mitigative land-use policies, would be a major step towards resolving the desertification problem in the Maowusu Desert.


2018 ◽  
Vol 2 (3) ◽  
pp. 84-107
Author(s):  
NKEMTAJI Franklin NDA ◽  
TSI Evaristus ANGWAFO ◽  
FOMINYAM Christopher ◽  
MVO Denis CHUO ◽  
FOTANG CHEFOR ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document