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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