2017
DOI: 10.1186/s13570-017-0085-1
|View full text |Cite
|
Sign up to set email alerts
|

Trade-offs for climate-resilient pastoral livelihoods in wildlife conservancies in the Mara ecosystem, Kenya

Abstract: Pastoralists in the wildlife-rich East African rangelands use diversification into conservation and tourism as a strategy to supplement livestock-based livelihoods and to spread risk. Tourism incomes are an important alternative source during drought, when livestock incomes decline. However, tourism may also reduce access to rangeland resources, and an abundant wildlife may destroy crops and injure, kill or transmit disease to livestock or people. This paper investigates the ability of wildlife conservancies i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
86
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 67 publications
(87 citation statements)
references
References 49 publications
0
86
1
Order By: Relevance
“…Firstly, we did not differentiate between the different wildlife areas, and thereby assumed that all the wildlife areas had the same management policies. This is, however, not the case as management policies varied greatly between the different wildlife areas (Bedelian & Ogutu, 2017). Most notable is that each wildlife area has a different policy on livestock grazing; in some areas livestock grazing within the wildlife areas is prohibited whereas in other areas livestock grazing is allowed either all year round or in designated areas or during specific times of year.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Firstly, we did not differentiate between the different wildlife areas, and thereby assumed that all the wildlife areas had the same management policies. This is, however, not the case as management policies varied greatly between the different wildlife areas (Bedelian & Ogutu, 2017). Most notable is that each wildlife area has a different policy on livestock grazing; in some areas livestock grazing within the wildlife areas is prohibited whereas in other areas livestock grazing is allowed either all year round or in designated areas or during specific times of year.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, we did not differentiate between the different wildlife areas, and thereby assumed that all the wildlife areas had the same management policies. This is, however, not the case as management policies varied greatly between the different wildlife areas (Bedelian & Ogutu, 2017 2004) it is likely that the human footprint data used in this study was an underestimation of the current human pressures that cheetahs face. However, as cheetahs showed an avoidance of humans, which is corroborated by other studies (e.g., Riggio et al, 2018), we suspect that our results are on the conservative side.…”
Section: Anthropogenic Variablesmentioning
confidence: 90%
“…Economic benefits to local communities from ecotourism enterprises in the two study regions, and the rest of Kenya, have encouraged communities to set community-based wildlife conservancies that have greatly expanded the space available for wildlife conservation in recent years. This has also reduced HWC by reducing contacts between people, livestock and wildlife as landowners voluntarily vacate their land parcels for wildlife conservancies in return for land rents and resettle elsewhere (Bedelian & Ogutu 2017;Ogutu et al 2017).…”
Section: Conclusion and Recommendations For Wildlife Conservation Anmentioning
confidence: 99%
“…It is thus important to conserve spatially extensive migratory systems while balancing human and wildlife needs. In Kenya, wildlife conservancies are expanding conservation areas for wildlife beyond the state-owned parks and reserves onto land owned privately by local communities or individuals who benefit by receiving land rents and job opportunities [34,113].…”
Section: Discussionmentioning
confidence: 99%