Have relocations been a successful management tool for the ...
Transcript of Have relocations been a successful management tool for the ...
Have relocations been a successful management tool for the conservation of oribi antelope in
KwaZulu-Natal?
Tamanna Patel, Dr. Adrian Shrader, Dr. Keenan Stears, Dr. Ian Little
Savanna Science Network Meeting: March 2016
© Keenan Stears
Oribi (Ourebia ourebi)
• Highly specialized antelope
• Grassland requirements
• Numbers are declining in South Africa • Habitat loss & fragmentation
• Illegal hunting & poaching
• Current status: • Vulnerable
Oribi Working Group
• Monitor oribi population numbers through annual oribi surveys
• Aims to promote the long term survival of oribi in their natural grassland habitats
© Ian Little
Relocations
• What is a relocation? • Movement of an animal or
population of animals from an area where they are currently threatened to a more suitable area
• Successful relocations • Arabian oryx
• White rhinoceros
• Springbok
Successful Relocation
• Results in a self-sustaining population • Births observed every year • Increase in population number
• Prior to relocation: • Basic set of criteria should be met:
• Aims of the relocation should be defined clearly • Assessment of habitat suitability should be
conducted
• Post-relocation: • Long-term monitoring over several years
Key Questions
1. What is the success rate of previous oribi relocations in KwaZulu-Natal?
2. Have relocations been a successful conservation tool for oribi?
3. What are the factors driving the success/failure of these relocations?
4. How can the success of relocations be improved in future?
Data Collection
• 10 sites in KwaZulu-Natal with relocated oribi
• 10 points to consider before any relocation (Pérez et al. 2012)
• Trends at each site → Success/fail
• Factors influencing success/failure → Additional questions
Pérez et al. 2012 1. Is the population under threat?
2. Have threatening factors been removed/controlled?
3. Are relocations the best tool to use?
4. Are risks for the target species acceptable?
5. Are risks for other species/ecosystem acceptable?
6. Effects of the relocation acceptable to local people?
7. Does the project maximize the likelihood of establishing a viable population?
8. Does the project include clear goals and monitoring?
9. Do enough economic and human resources exist?
10. Do scientific, governmental & stakeholder groups support the relocation?
The number of sites that considered each point before any relocation
4
5
6
7
8
9
10
1 2 3 4 5 6 7 8 9 10
No
. of
site
s
Points to consider (Pérez et al. 2012)
The number of sites that considered each point before any relocation
4
5
6
7
8
9
10
1 2 3 4 5 6 7 8 9 10
No
. of
site
s
Points to consider (Pérez et al. 2012)
Points that were overlooked at many of the sites:
• Have threatening factors been removed or
controlled?
• Are risks for the target species acceptable?
• Does the project maximize the likelihood of establishing a viable population?
• Does the project include clear goals and monitoring?
• Do enough economic and human resources exist?
Number of criteria initially considered vs. Lambda
Number of criteria considered
5 6 7 8 9 10
Po
pu
lati
on
gro
wth
rat
e (
lam
bd
a)
0.0
0.5
1.0
1.5
2.0
Factors driving these trends
• A model selection procedure based on small-sample corrected (second order) Akaike’s Information Criterion (AICc) values. • Generalized linear model:
• Gamma distribution and a log link function
• Best fit model (lowest AICc value): • Oribi population size
• Suitable habitat
• Stocking rates
• Suitable habitat x stocking rates
Population size, suitable habitat, stocking rates
Oribi population size
0 10 20 30 40 50Po
pu
lati
on
gro
wth
rat
e (
lam
bd
a)
0.0
0.5
1.0
1.5
2.0
2.5
Suitable habitat (ha)
0 500 1000 1500Po
pu
lati
on
gro
wth
rat
e (
lam
bd
a)
0.0
0.5
1.0
1.5
2.0
2.5
Stocking rate (ha/AU)
0 1 2 3 4 5 6Po
pu
lati
on
gro
wth
rat
e (
lam
bd
a)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Interaction between suitable habitat available & stocking rates vs. Lambda
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
12
34
5
200
400
600
800
1000
1200
1400
1600
Po
pu
lati
on
gro
wth
rat
e (
lam
bd
a)
Stocking rates (ha/AU)
Suitable habitat (ha)
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
Key Lambda (λ)
Conclusion
• What is the success rate of previous oribi relocations in KwaZulu-Natal? • Relocation success of 10%
• Have relocations been a successful conservation tool for oribi? • No, but they can be successful
• Require proper management prior to and post-relocation
• Monitoring is very important: • Directly after the relocation
• Long-term monitoring plans
Conclusion
• What are the factors driving the success/failure of these relocations? • Oribi population size
• Availability of suitable habitat
• Stocking rates of other mammalian herbivores
• How can the success of relocations be improved in future? • To use the 10 points as a basic criteria prior to any
relocation
• To monitor oribi relocations over several years to be able to determine success/fail