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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68<br />
8. Actions<br />
Table 8.7 Real-world examples of Actions which have been subjected to experimental<br />
testing on surrogate species.<br />
<strong>Species</strong> of concern Surrogate species Action and results Reference<br />
Chatham Island black<br />
robin<br />
Petroica traversi<br />
Piping plover<br />
Charadrius melodus<br />
Black-footed ferret<br />
Mustela nigripes<br />
8.3.5 Tests on captive animals<br />
South Island robin<br />
Petroica australis<br />
Killdeer plover<br />
Charadrius vociferus<br />
Steppe polecat<br />
Mustela eversmanni<br />
A few <strong>for</strong>ms of management under consideration <strong>for</strong> wild populations may be first tested on<br />
captive individuals. While this approach is not relevant to all Actions, it can be extremely<br />
valuable in some cases. Examples are given in Table 8.8.<br />
Table 8.8 Real-world examples of Actions being considered <strong>for</strong> use in the wild which<br />
were tested using captive animals<br />
8.3.6 Tests based on model simulation<br />
South Island robins’ responses to<br />
being transported were investigated<br />
to determine how far black robins<br />
might safely be moved, in<strong>for</strong>ming the<br />
selection of a translocation site.<br />
Behaviour, growth rates and survival<br />
were compared across wild, captive<br />
reared, and cross-fostered killdeer,<br />
to determine the most promising<br />
method <strong>for</strong> use in piping plovers.<br />
Effects of different pre-release<br />
training regimens on survival and<br />
behaviour post-release were<br />
investigated using sterilised polecats<br />
be<strong>for</strong>e testing on ferrets.<br />
Butler and<br />
Merton 1992<br />
Powell and<br />
Cuthbert 1993<br />
Biggins et al.<br />
1999<br />
<strong>Species</strong> of concern Action Outcome Reference<br />
Bighorn sheep<br />
Ovis canadensis<br />
Asian elephant<br />
Elephas maximus<br />
Several mammal<br />
species<br />
Vaccination against<br />
parainfluenzavirus III<br />
Estimation of population<br />
size by counting dung<br />
densities.<br />
Estimation of population<br />
size using camera trapping.<br />
Vaccine was safe and caused<br />
seroconversion in captivity (but did<br />
not reduce mortality of wild sheep).<br />
Defecation rates of elephants in<br />
natural habitats were measured<br />
using tame elephants and used to<br />
calibrate dung counts <strong>for</strong> wild<br />
elephants.<br />
Density estimates calculated using a<br />
new method <strong>for</strong> analysing camera<br />
trap data correlated with known<br />
densities in an enclosed area.<br />
Jessup, De<br />
Forge and<br />
Sandberg<br />
1991<br />
Tyson et al.<br />
in review<br />
Rowcliffe et<br />
al. 2008<br />
Mathematical models may provide a valuable tool <strong>for</strong> evaluating some Actions. There are<br />
several ways in which such models may be used.<br />
Occasionally, a species’ biology may be sufficiently well characterized to allow population<br />
dynamic models (often PVA models) to be constructed. These models can then be used to<br />
simulate the effects of certain management interventions. Such model-based approaches<br />
will never produce results as reliable as those derived from empirical assessments of the<br />
outcomes of action, not least because it is rarely possible to be completely confident that<br />
population models have the appropriate structure and are correctly parameterized.<br />
Nevertheless, such simulations can be very useful in some circumstances. PVA modelling