Date post: | 14-Apr-2017 |
Category: |
Environment |
Upload: | iied |
View: | 149 times |
Download: | 2 times |
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National Level Analysis
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At the forefront
• Piloted & rolled out Revenue Sharing
• Resource access
• Many other initiatives
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Conserving Uganda
• Ranger Based Monitoring Data
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What’s the national picture?
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Aims
• Identify broad correlations between: o Wildlife crime
o Biodiversity
o Poverty
o Conservation interventions
o Development interventions
Across Uganda’s National Parks and Wildlife Reserves over the last 10 years
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Aims
• Identify broad correlations between: o Wildlife crime
o Biodiversity
o Poverty
o Conservation interventions
o Development interventions
Across Uganda’s National Parks and Wildlife Reserves over the last 10 years
Help direct field surveys
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Defined wildlife crime
“any harm (or intent to harm or subsequent trade of) to non-domesticated wild animals, plants and fungi, in
contravention of national and international laws and conventions”
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Seeking data
Not available at spatial or temporal scales required
Poverty
Development interventions
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Seeking data
Not available at spatial or temporal scales required
Poverty
Development interventions
Biodiversity scare although mammal populations (2-5 years) at QE, MF & LM
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Seeking data
Not available at spatial or temporal scales required
Poverty
Development interventions
Biodiversity scare although mammal populations (2-5 years) at QE, MF & LM
Wildlife crime & conservation interventions from CAMs
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Budgets
• Budgets for protected areas increasing
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Budgets
• Budgets for protected areas increasing
BUT
• Community conservation budget only increasing for Bwindi & Kibale
• Mgahinga has highest budget per km
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Staff
• Tourism & Law Enforcement staff increasing
• Community conservation staff extremely few
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Staff
• Tourism & Law Enforcement staff increasing
• Community conservation staff extremely few
• 2014
Mgahinga law enforcement rangers less than 1km2 to patrol each
At Queen 21km2
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Bwindi
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Tourists
• Foreign tourists increasing all PA
• Most visit Queen followed by Murchison
• Ugandan tourists increasing at MF, LM & Sem but very few visit Bwindi, Mgahinga or Kibale
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Murchison
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Revenue sharing
• Increasing each time
• Sport hunting revenue shared at Lake Mburo
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Resource use
• All protected areas
• Numbers differ between PA – most at Murchison & fewest at Lake Mburo
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Law enforcement
• Patrol length increasing at Murchison (km not days)
• Patrols at Murchison cover largest distance per day
• Patrol length increasing (km & days) at Queen & Kibale
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Queen
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Queen
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Snares
• More snares found during long patrols
(days & km)
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Snares
• More snares found during long patrols
BUT
• Account for size of PA = only Murchison Falls
• Local context has major influence
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Snares
• Snares per patrol (km) highest Queen & Murchison
• Many more snares found than people arrested at Bwindi, Mgahinga, Semliki
• 85 snares for every arrest at Mgahinga NP
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Elephant poaching
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Park specific - Kibale
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Park specific - Kibale
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Park specific - Kibale
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Kibale
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General trends…but
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General trends…but
• Missing data
• Cannot link cause-&-effect because many influencing factors
• Need contextual data!!
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Your data
• Incredibly important
• Be as consistent & robust as possible
• National level analyses are valuable
• But need contextual data
• Report back to the people collecting the data