1.
1
National Level Analysis

2.
2
At the forefront
• Piloted & rolled out Revenue Sharing
• Resource access
• Many other initiatives

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3
Conserving Uganda
• Ranger Based Monitoring Data

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4
What’s the national picture?

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5
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

6.
6
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

7.
7
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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8
Seeking data
Not available at spatial or temporal scales required
 Poverty
 Development interventions

9.
9
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

10.
10
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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11
Budgets
• Budgets for protected areas increasing

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12
Budgets
• Budgets for protected areas increasing
BUT
• Community conservation budget only increasing for
Bwindi & Kibale
• Mgahinga has highest budget per km

13.
13
Staff
• Tourism & Law Enforcement staff increasing
• Community conservation staff extremely few

14.
14
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

15.
15
Bwindi

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16
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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17
Murchison

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18
Revenue sharing
• Increasing each time
• Sport hunting revenue shared at Lake Mburo

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19
Resource use
• All protected areas
• Numbers differ between PA – most at Murchison &
fewest at Lake Mburo

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20
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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21
Queen

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22
Queen

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23
Snares
• More snares found during long patrols
(days & km)

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24
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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25
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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26
Elephant poaching

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27
Park specific - Kibale

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28
Park specific - Kibale

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29
Park specific - Kibale

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30
Kibale

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31
General trends…but

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32
General trends…but
• Missing data
• Cannot link cause-&-effect because many influencing
factors
• Need contextual data!!

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33
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