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 />
We recommend that, wherever possible, the Status Review should define both populations<br />
and the areas associated with them. Once the populations are mapped, data should be<br />
systematically collated on the status and demography of each population, the threats facing<br />
them (see subsection 6), and the conservation measures occurring within each unit (see<br />
subsection 7). The species’ ecosystem relationships <strong>for</strong> particular populations should also<br />
be defined in this section (e.g., predator-prey relationships, seed dispersal, pollination,<br />
landscape modification, etc.). An example of the kinds of data that might be assembled <strong>for</strong><br />
each population is shown in Form C “Revised Important Areas <strong>for</strong> Jaguar <strong>Conservation</strong><br />
(Jaguar <strong>Conservation</strong> Units or JCUs)”, one of the three jaguar survey <strong>for</strong>ms that can be<br />
downloaded from the web at http://intranet.iucn.org/webfiles/doc/SSC/SCS/<br />
Ch5_jaguar_<strong>for</strong>ms.pdf. Other data <strong>for</strong>m examples are provided at http://intranet.iucn.org/<br />
webfiles/docs/SSC/SCS/Ch5_AWCB_<strong>for</strong>ms.pdf (<strong>for</strong> Asian wild cattle and buffaloes), and<br />
http://intranet.iucn.org/webfiles/docs/SSC/SCS/Ch5_cheetwd_<strong>for</strong>ms.pdf (<strong>for</strong> cheetahs and<br />
African wild dogs). From these data, it is often useful <strong>for</strong> the SCS to summarise the<br />
in<strong>for</strong>mation in a tabular <strong>for</strong>mat.<br />
5.3.4.4 Demographic analysis<br />
For some species, reliable demographic data exist, which are likely to be important in<br />
characterizing the species’ status. Demographic data include population estimates,<br />
population indices, mortality data, reproductive data, sex- and age-structure data, etc. Such<br />
data are often more indicative of rates and direction of population change than are changes<br />
in spatial distribution (e.g., sea otters (Enhydra lutris) in the Aleutian Islands have declined<br />
by more than 90% in less than two decades, among the most drastic declines of a species<br />
in recent times, but they still exist throughout the island chain). However, the accuracy and<br />
precision of demographic data vary enormously, and so does the data interpretation. In<br />
rare cases, a precise time series of count data are available from which population changes<br />
can readily be discerned. More frequently, a few estimates are available from selected<br />
locations, which vary in reliability, and may or may not be representative of a larger portion<br />
of the range. Indices of abundance, vital rates, and population composition data are more<br />
common than actual population estimates <strong>for</strong> many species, and all are subject to varying<br />
interpretations, and so should be presented with a full explanation.<br />
Population and density estimates may be derived <strong>for</strong> portions of the geographic range. The<br />
Status Review should examine and make note of the precision of relevant estimates, and<br />
should consider which estimates are acceptably reliable to provide useful insights about<br />
population status and trends. Reliable estimates of population size are essential <strong>for</strong><br />
assessing viability and sustainability of human offtake.<br />
Whereas spatial data may be readily understood and interpreted by stakeholders in a<br />
workshop setting, demographic data typically must be analysed first by people with the<br />
necessary mathematical and biological expertise. Results of such analyses can then be<br />
presented to a wider group of stakeholders. The planning document should strike a<br />
balance between high-powered mathematical analyses that few will understand and a very<br />
superficial analysis that <strong>for</strong>ces knowledgeable readers to simply trust the results.<br />
Whereas <strong>for</strong> spatial data the sought-after end product is a series of fully-documented GIS<br />
layers, the end product of demographic analyses might be graphs, tables, and statistics<br />
indicating population trend, and, where possible, population viability. For maximum utility,<br />
such data could also be incorporated as GIS layers (e.g., population densities, growth rates,<br />
reproductive rates, etc.). An advantage of using GIS is that if all the datasets are<br />
represented as georeferenced layers, they can be analysed to show interrelationships, such<br />
as areas of range loss, representation of populations across ecological settings, measures<br />
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