Illegal Offtake
Illegal hunting could affect the survival of reedbuck, waterbuck,
lechwe and puku in all of the floodplain habitats. It could
also prejudice the success of the introductions recommended
above. Martin used a population
model to explore the maximum illegal harvest which wetland
grazer populations could sustain. It is assumed that mortality
would affect both sexes and all ages equally. The 'doubling
time' is the number of years it would take for the population
to double its numbers at the given rate of illegal harvest.
| Illegal harvest % |
0
|
1
|
2
|
3
|
4
|
5
|
6
|
7
|
8
|
9
|
10
|
| Rate of population growth % |
10.2
|
9.1
|
8.0
|
6.9
|
5.8
|
4.7
|
3.6
|
2.5
|
1.4
|
0.3
|
0
|
| Doubling time (years) |
7
|
8
|
9
|
11
|
13
|
15
|
20
|
28
|
50
|
232
|
infinite
|
Without any illegal hunting the population grows at slightly
more than 10% per annum and it can sustain a maximum offtake
of about 9%. The higher the offtake, the lower is the growth
rate of the population and the effects become severe above
a 5% illegal harvest.
Within State Protected Areas a major effort is being made
at present to contain illegal hunting, control fires and,
in general, to implement park plans. The present MET staff
numbers, equipment and infrastructure are insufficient to
meet the challenges (PW 1998) but improvements are taking
place in all these aspects. The annual operating expenses
required to protect all the State Protected Areas in the Caprivi
has been estimated at about US$1 million (Martin 2002b, 2003).
However, the total area of floodplain habitats in the State
Protected Areas is only about 500km2 and, even with existing
resources, this is not an overwhelming area to police effectively.
The larger issue is the conservation of the other five-sixths
of the floodplain habitats outside the protected areas. This
protection is unlikely to be achieved through conventional
law enforcement. And illegal hunting is only a part of the
problem - the clearance of new lands for agriculture and habitat
degradation through cattle grazing are the other two. These
provide a strong reason for seeking new institutions involving
partnerships with local communities.
Sport Hunting
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Figure 23: Results of hunting quotas
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Martin used a population
model to explore the effects of hunting quotas on reedbuck,
waterbuck, lechwe and puku populations.
Findings: Sport hunting quotas for reedbuck,
waterbuck, lechwe and puku populations should never exceed
3%. (Figure
23)
Hunting selectivity is centred on the 6-7 year
old males, with 40% of trophies coming from this age group,
but the rest are spread fairly evenly over the range of age
classes. The available quota of trophy animals is taken from
the various age classes in the proportions set by the selectivity
profile ((i.e. if the quota was 100 animals it would take
5 animals from the 3 year old age-class, 10 animals from the
4 year-old age class, 15 animals from the 5 year-old age class
... and so on). However, if there are insufficient animals
in any age class to meet the quota demand, the animals are
then sought in the age class immediately below it as would
happen in practice. The percentage quotas apply to the total
population and it is assumed that males under 5 years old
would not be hunted.
As the quota is increases from zero, little
change takes place up to a quota of 1.5%. The sex ratio alters
slightly from 1.7:1 to 2:1 but none of older male age classes
disappear from the population (Figure
23). The older age classes begin to disappear at a quota
of 2% when all of the animals older than 8 years are removed
from the population. A quota of 3% results in all animals
older than 6 years being removed, a 4% quota removes all animals
aged 5 years and older and, at 5%, only 3 year-old males are
left to breed. This would suggest that sport hunting quotas
for reedbuck, waterbuck, lechwe and puku should not exceed
3%. At a 3% quota there are still some 6 year old males left
in the population as prime breeding animals. Above a 3% quota,
the sex ratio begins to shift dramatically in favour of females.
It is not necessary to know the numbers of animals
in the population in order to set sustainable quotas. Much
more robust adaptive methods for
quota setting can be used instead.
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