scholarly journals A participatory approach for modeling alternative future land use scenarios around Nairobi National Park using Bayesian Belief Networks

Author(s):  
J. T. McCloskey ◽  
R. J. Lilieholm ◽  
R. Boone ◽  
R. Reid ◽  
S. Sader ◽  
...  

2020 ◽  
Vol 79 (14) ◽  
Author(s):  
Elias Mendes Costa ◽  
Lúcia Helena Cunha dos Anjos ◽  
Helena Saraiva Koenow Pinheiro ◽  
Yuri Andrei Gelsleichter ◽  
Robson Altiellys Tosta Marcondes




Author(s):  
Sylwia Szporak ◽  
Dorota Mirosław-Świątek ◽  
Jarosław Chormański

The flood extent in the lower Biebrza basin calculated by the 1D flow model for different land use scenarios The flood extent in the lower Biebrza basin calculated by the 1D flow model for different land use scenarios. An application of an steady 1D flow model for determination of a flood extent in the natural river valley is discussed in this paper. The Pasche method was used to calculate the total Darcy-Weisbach friction factor for each cross section according to the type of vegetation and flow interaction between the main channel and vegetated areas. In this approach friction caused by interaction between the main channel and vegetated areas are taken into account. The model was applied to the Biebrza Valley, fairly undisturbed river-marginal peatland, located in the north-east of Poland. Actual land use carried out in the National Park was analyzed to determine the influence of changes in the vegetation structure on the flood extent in the river valley. The obtained results show variation of a flooded area in relation to the vegetation of the floodplain.



2019 ◽  
Vol 27 (1) ◽  
pp. 51-63
Author(s):  
Sun Xiaoping ◽  
◽  
Li Shuang ◽  
Yu Jianping ◽  
Fang Yanjun ◽  
...  


Author(s):  
Shuang Zhou ◽  
Li Peng

The complexity and uncertainty of land use and environmental factors pose challenges to the management decisions of ecological restoration and conservation.We integrated the mixed-cell CA model and Bayesian belief networks to develop an innovative method for optimizing ecosystem services under different land development scenarios, including consideration of the uncertainty and variability of factors.The southern region of Sichuan Province, China, was selected as an example.We first established three development scenarios between 2015 and 2035, namely, natural development scenario (NDS), ecological protection scenario (EPS), and cultivated land protection scenario (CLPS).The MCCA model was utilized to simulate the land use pattern in 2035 under different scenarios.We then construced a BBN-based model to investigate the carbon sequestration, grain supply, soil conservation, habitat quality, and water yield in 2035 under uncertain scenarios.After the sensitivity analysis and evaluation of the model, we determined the state combination of influential factors at various ecosystem service levels and the ecological restoration and conservation key areas.The obtained result showed that the key influencing factors impacting the ecosystem services level included NPP, Slope, forestland and ET, and the state combination corresponding to the highest level of ecosystem services was predominantly distributed in regions with the highest NPP, the highest Slope, the highest forestland area and low ET.Based on this finding, we proposed some suggestions for ecological restoration and conservation of key areas.This model considers uncertainties and is capable of providing scientific recommendations on restoration and conservation; therefore, it can serve as an effective tool to assist stakeholders in making decisions.



2019 ◽  
Vol 2 (2) ◽  
pp. p41
Author(s):  
John K.M. Wandaka ◽  
Kabii M. Francis

Nairobi National Park (NNP) in Kenya was established in 1946 to conserve the abundance and diversity of wildlife in the Kitengela-Athi-Kaputei plains, from excessive exploitation. It is currently fenced except on the Kitengela side across the Mbagathi River due to the sub-division of the group ranches, which commenced in the 1980s, limiting access of wildlife to the migratory corridor and dispersal areas. This paper is based on a study conducted to assess the impacts of the resultant land use changes in the Kitengela dispersal area/ migratory corridor on the migratory fauna of NNP, and to identify appropriate mitigation measures. The findings indicated that increased human settlement, led to changes in land uses which resulted into multiple negative impacts on the migratory wildlife of Nairobi National Park, mainly due to loss of dispersal area and blockage of migratory routes, leading to wildlife confinement, decreased wildlife tolerance and increased incidences of human wildlife conflicts. Data analysis indicated decline in migratory wildlife population thus negative effect (F=, 6.066, p<0.05). The findings also indicated that loss of migratory routes/dispersal area and reduced vegetation cover was regarded by 55% of the local community respondents as one of the main consequences of the land use changes resulting from the subdivision of the group ranches leading to decreased wildlife tolerance (β = 0.246) and wildlife confinement (β = 0.371) in NNP (p= 0.021, < 0.05, F= 2.678; R=0.179, R2= 0.032). The paper also discusses the mitigation measures for the longtime sustainability of the park, the dispersal area and migratory corridor, including holistic implementation of the Kitengela-Isinya-Kipeto Local Physical Development Plan, mapping and protection of the vital wildlife areas within the migratory range, including the wildebeest calving area in North Kaputiei.



2007 ◽  
Vol 17 (4) ◽  
pp. 1004-1018 ◽  
Author(s):  
Patricia H. Gude ◽  
Andrew J. Hansen ◽  
Danielle A. Jones


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