Strategic Planning for Species Conservation: A Handbook - IUCN
Strategic Planning for Species Conservation: A Handbook - IUCN
Strategic Planning for Species Conservation: A Handbook - IUCN
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<strong>Strategic</strong> <strong>Planning</strong> <strong>for</strong> <strong>Species</strong> <strong>Conservation</strong><br />
(c) compare the level of each possible agent of decline with that in areas, or at times,<br />
where the species is/was not in decline; <strong>for</strong> example determine whether harvest levels<br />
have increased over time, or whether local population extinctions have occurred in<br />
areas where habitat destruction has occurred. Use these comparisons to identify one<br />
or more likely agents of decline;<br />
(d) test the hypothesis that the agent(s) of decline have been correctly identified by<br />
experiment: in most cases the experimental “treatment” can be a management<br />
intervention designed to combat the threat, and so confirmation of the cause of<br />
decline can be combined with active ef<strong>for</strong>ts to conserve the species.<br />
Although Caughley and Gunn’s (1996) method may appear labour-intensive, this level of<br />
scientific rigor is entirely appropriate <strong>for</strong> such a critical component of SCS planning.<br />
Moreover, their approach need not be arduous if (as is often the case) there is clear<br />
evidence <strong>for</strong> decline being associated with some straight<strong>for</strong>ward factor such as overharvest<br />
or habitat destruction (e.g., see Box 5.3). If the causes of a species’ decline are less<br />
straight<strong>for</strong>ward – <strong>for</strong> example if they involve interactions between more than one factor –<br />
then the extra ef<strong>for</strong>t made to identify the causes will be worthwhile, since management<br />
interventions directed only at the most obvious factor may fail to halt or reverse declines.<br />
Often threats may be so confounded that the identification of the key factor in population<br />
decline is very difficult. For example, in highly fragmented environments, a species may be<br />
more subject to predation by other natural predators, may be more prone to be hunted by<br />
humans (because humans have easier access to small patches of their habitat), may be<br />
more apt to raid crops and hence be killed by humans, and may be more likely to suffer<br />
effects of malnutrition due to reduced food availability or compressed animal density. Each<br />
of these threats might be dealt with in a somewhat different way (e.g., predator reduction,<br />
poaching patrols, crop field deterrents, and artificial feeding, respectively), especially if what<br />
appears to be the ultimate threat (habitat fragmentation) is not readily rectified. Rigorous<br />
studies to disentangle these confounded effects are unlikely to exist <strong>for</strong> most species. In<br />
the absence of hard data, a listing and discussion of all the possibly important threats may<br />
spur future studies and provide more avenues <strong>for</strong> potentially effective conservation than a<br />
best guess about a single dominant threat. Population responses to conservation ef<strong>for</strong>ts<br />
will in the end give the best indication of what the threats were. For example, if improving<br />
anti-poaching measures is associated with an increase in population size, then over-hunting<br />
can be assumed to have been a key threat.<br />
The first two steps of Caughley and Gunn’s (1996) “recipe” – studying the species’ natural<br />
history and identifying possible causes of decline – are likely to have been conducted prior<br />
to the development of a SCS, at least <strong>for</strong> some species in each taxon. Key aspects of the<br />
species’ natural history will have been summarised earlier in the Status Review. The<br />
“threats” section should thus list evidence <strong>for</strong> and against particular factors representing<br />
threats to species persistence, based on the correlational methods outlined in Caughley and<br />
Gunn’s (1996) step (c), or, where available, on experimental evidence from their step (d).<br />
Box 5.3 provides some examples of threat analyses based on these sorts of evidence; note<br />
that the analysis process is not always arduous. The examples are chosen to show how<br />
threat analyses can sometimes be conducted <strong>for</strong> groups of species as well as <strong>for</strong> single<br />
species.<br />
When a list of multiple threats is generated during the threat analysis process, it may be<br />
helpful to categorise these into most serious, less serious and so on, so as to ensure that<br />
resources and ef<strong>for</strong>ts are focused on those Objectives and Actions that will have the<br />
greatest effect in saving the species.<br />
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