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Applying the New IUCN Threatened
Species Categories
by Alison J. Stattersfield
Introduction
BirdLife International
(formerly the International Council for Bird Preservation)
has had a long history of involvement in the red-listing process,
taking responsibility for advising IUCN and its Species Survival
Commission on matters relating to the conservation status
and needs of birds. BirdLife was among the first to apply
the new IUCN threatened species categories in late 1993 and
early 1994 (before the criteria were published), and was the
first to evaluate a complete class of species.
Bird data for the Red Lists
have come from the international Red Data Books, which have
been a keystone of BirdLifes research work. This program
started with Vincent (1966-1971), was updated by King (1978-1979),
then followed by regional treatments of Africa (Collar and
Stuart 1985) and the Americas (Collar et al. 1992)
(all using the old IUCN categories), and work is currently
under way to assess candidates for Asia (using the new categories).
Annotated global checklists, where data sources are referenced
(Birds to Watch), have also been published (Collar
and Andrew 1988, Collar et al. 1994; using old and
new categories respectively) to keep the summary information
and category allocation up-to-date, and to compensate for
the time-lag caused by the detailed work necessary to produce
an exhaustively researched Red Data Book.
The old IUCN system for identifying
threatened species gave broad definitions for five threatened
categories, of which only two directly indicated the likelihood
of extinction. The new system (used to list all species in
this Red List) is characterized by quantitative or clearly
defined criteria, subcriteria and qualifiers, based around
an evaluation of probabilities of extinction within specified
time-frames. Species may qualify for one of three threatened
categories depending on whether their abundance and/or range
sizes, or rates of decrease in these, meet explicit numerical
thresholds (see, for example, Mace 1993, Mace and Stuart 1994).
The aims of this essay are threefold.
First, to draw on the experience of BirdLifes research
to discuss some of the particular difficulties which were
experienced in applying the new IUCN threatened species categories
to birds and to outline some potential solutions. Second,
to use the BirdLife data to interpret the changes between
successive Red Lists using the old and new categories. And
third, to suggest how the red-listing process, using the new
categories, can help conservation.
Some Problems and Solutions
One of the specific
aims of the revision of the categories is to improve objectivity
by providing clear guidance on how to evaluate different factors
which affect the risk of extinction. For the majority of speciesbirds
being no exceptionnumerical data concerning population
numbers or rates of decline are lacking, or, at best, available
on a site basis only (and thereby relevant to part of any
population only). The preamble to the new categories therefore
emphasizes the importance of attempting to classify poorly
known taxa by estimating and extrapolating the current or
potential threats into the future, and by allocating them
a threat status by applying the precautionary principle.
Using inference in a consistent
fashion, however, proved to be one of our greatest difficulties
in producing the revised list for birds, for, despite the
intentions of the new system, there is little guidance to
help standardize this process. Indeed we found that there
was considerable scope for variation in categorization of
some species (using the same data) even between three people
(my coauthors and I). Given that birds are the most comprehensively
studied of all the classes of animals or plants, it is likely
that inconsistencies arising from the use of inference will
be far greater for those assessing less well known groups
with fewer numerical clues, and in circumstances where more
people contribute to the evaluation process.
Another dilemma we faced was
the availability and quality of other data which could have
helped us make well informed inferences. Despite access to
many published sources of information and expertise from BirdLifes
extensive network of contacts, we found that our information
on, for example, habitat loss and degradation was poor in
some parts of the world. While evaluators can reasonably be
expected to assemble all the appropriate species-specific
material (on distribution, population, ecology etc.), they
may not have access to general data concerning a speciess
environment (e.g. logging activities or other land-use changes
past, present, and planned). We recognized that some of our
assessments might be seriously affected by ignorance of such
key pieces of information (see Figure 1).
Other areas of difficulty, more
fully discussed in Collar et al. (1994), included:
the indistinct division between the near threatened and least
concern categories; the appropriate use of the (non-threatened)
conservation dependent category where information on important
extrinsic factors such as the effectiveness of certain protected
areas is needed; thresholds for the Critically Endangered
category which could be (perhaps too) readily met by species
with naturally small ranges as a result of any evidence indicating
loss of habitat, however slight; an apparent inequity between
species with small stable populations (= not threatened) versus
those with much larger ones in the same area but with declining
ones elsewhere (= threatened); and the definition of location
which is crucial to the interpretation of the range-size criteria
(see also, for example, Baillie et al. 1995, Hallingbäck et al. 1995 for difficulties encountered in applying
the categories to different faunal groups).
Many of the above problems could
be diminished by more detailed guidance in the use of the
criteria (and a Users Guide is being prepared).
This should be easier to formulate now, with many real examples,
owing to the extensive collective experience of applying the
categories for this Red List.
Further guidance will not, however,
eliminate all the uncertainties associated with the use of
inference. It is therefore vital that, where data are poor,
the reasoning used to trigger certain criteria should be made
as explicit as possible. Although the new system requires
the inclusion of coding to indicate which criteria are judged
to be met (rather than the category code alone), such notation
could be misleading because there is no indication of levels
of uncertainty. It is possible, because a species is classified
as threatened using a system which is recognized as being
more objective, to assume without question that the species
meets the criteria (and has, for example, a population of
less than 10,000 mature individuals) when, in fact, the original
evaluation involved a highly precautionary inference derived
from very slight evidence. Guesswork may therefore become
fact, and judgements may not be re-evaluated from first principles
in subsequent exercises. The only real solution, therefore,
is to publish the species-specific and background data in
detail, for example in Red Data Books, Action Plans, standard
forms which ensure that all relevant details are logged, or
interactive user-friendly computer programs with a comprehensive
help system specially designed for this purpose. At the very
least the mammal, reptile, fish and other equivalents of Birds
to Watch (summarizing distribution, habitat requirements,
abundance, trends and threats) should be produced as the documentary
basis of future Red Lists.
Publication of data will have
several benefits: critical inferences will be indicated and
might generate more appropriately orientated fieldwork and
important new information; details of the assessment will
be available for more efficient and improved re-evaluation;
and the documentation will allow for wide consultation and
independent peer review, to aid consistency between treatment
of poorly known species in different taxonomic groups and
regions of the world. In addition, the environmental knowledge
which has influenced judgements will be disclosed and rendered
accessible to other assessors of species with similar ranges
and problems. However, it is not efficient for different evaluators
repeatedly to find the same environmental information, nor
are they necessarily the best people to interpret it. An invaluable
supplement to the forthcoming Users Guide, therefore,
would be a common source of appropriate background data compiled
and up-dated by relevant experts (see Figure 1).
Changes and Their Interpretation
Given the apparently
major change in the categories and their criteria, one might
expect big changes in the overall numbers and types of species
listed as threatened. For birds, there has been an increase
from 1,030 (Collar and Andrew 1988) to 1,111 (Collar et
al. 1994). Although the net change is a relatively small
onean additional 81 species in total (= 8% increase)more
considerable flux is masked: 295 species were upgraded to
threatened status (29%) and 214 species downgraded (21%).
However, these changes may be attributed to four factorsthe
currently volatile nature of ornithological taxonomy (+81,
-12), the inevitable improvement in knowledge (+157, -139),
genuine changes in status (+14, -2) and changes in the criteria
(+43, -61). If we assume that the first three factors are
independent of the system used (accounting for 85% and 71%
of the upgrades and downgrades respectively), it appears that
the new categories have not radically altered the end result.
It might be possible, therefore, to conclude that the old
IUCN system for the classification of threatened species was
adequate after all. However, as the use of inference is a
key factor in the appropriate application of the new categories,
the potential for misuse under the old system (where there
were broad definitions only for guidance) was many times greater.
An interpretation of the changes
between successive Red Lists, combined with the probabilities
of extinction implicit in the new categories, allows us to
make predictions of the rates of species extinctions.
Such projections have been common in both the scientific and
popular literature, and have caused much debate over the reality
of the so-called impending extinction spasm (see, e.g. Myers
1987). We calculate that it would take between 800 and 2,800
years for half the worlds birds (4,850 species) to go
extinct (Crosby et al. 1994). This is based on our categorization
in Collar et al. (1994) and a dynamic projection that takes
into account the likely changes in knowledge over the next
100 years and a rate of change of status equivalent to the
one which we had perceived during the period 1988-1994 or
worse. Under normal conditions, using mean survival
times as illustrated from the fossil record, one would expect
the natural time to extinction for half the worlds birds
to be around 500,000 years. While we recognize that our models
(which happen to be more optimistic than others based on older
data and different methodologies, e.g. Smith et al. 1993)
are not necessarily realistic, they clearly draw attention
to a crisis of considerable magnitude, directly attributable
to the destructive activities of man.
Using Red Lists
Red Lists are not
an end in themselves. They provide information about the status
of species, giving no indication of the conservation action
which must be taken to save them from extinction.
The new guidelines state that
the category of threat is not necessarily sufficient to determine
priority ranking for conservation, and that a system for such
assessments would include numerous other factors such as costs,
logistics, and chances of success. Although these may be addressed
in Action Plans, the increasing number of threatened species
joining the Red Lists means that, for most (uncharismatic)
species, the only real prospect for saving them is by site
protection. Thus geographical areas of overlap between the
thousands of threatened species included in this Red List
(by country, area, and ideally site) would represent a new
and vitally important basis for assigning the biological priorities
for conservation action, and help to focus resources appropriately
where choices have to be made (see Collar 1994).
As a result of its Red Data
Book research, BirdLife has already identified key forests
for threatened Afrotropical birds (Collar and Stuart 1988)
and key sites for threatened Neotropical birds (Wege and Long
1995). These studies show that many threatened species occur
together in similar places and that site-based priorities
can therefore be developed effectively through threatened
species analysis. BirdLifes original Biodiversity Project
extended this geographical approach by delimiting so-called
Endemic Bird Areas (EBAs), covering the breeding ranges of
all land bird species with restricted-ranges (including three-quarters
of threatened species). The approach also demonstrated the
importance of most of these areas for other endemic wildlife
groups (ICBP 1992, Stattersfield et al. in prep.).
Current research at BirdLife
focuses on Important Bird Areas (IBAs), which are selected
on the basis of globally agreed criteria dealing with threatened
species populations, importance for congregatory species,
or representation of EBAs or larger biomes. The IBA initiative
aims to cover the most important sites which will conserve
all bird species for which a site-based approach is appropriate.
IBAs have been identified for Europe (Grimmett and Jones 1989)
and the Middle East (Evans 1994), and there is now a commitment
to identify the majority of the worlds IBAs by the year
2000. Despite the fact that evidence for congruence exists,
such an approach could be adopted by colleagues working on
other groups, and help to polarize attention on key sites
for all plant and animal sympatric species.
Conclusions
1. Where numerical
species data are lacking, varying experience and interpretation
of the new IUCN criteria coupled with ignorance of key environmental
information, will result in inconsistent categorization of
species status by different evaluators.
2. Consistency in categorization
could be enhanced by a variety of measures including more
detailed guidance in the use of the criteria, publication
and referencing of key data, provision of sharing common sources
of environmental information, greater consultation and independent
peer review.
3. Although differences between
the bird Red Lists using the old and new criteria are relatively
small, the new system establishes a framework which reduces
subjectivity and renders red-listing more accountable.
4. Conservation efforts can
be aided and influenced by a reinterpretation of the species
data collated for Red Lists to identify key sites, especially
those which would protect large numbers of sympatric threatened
species.
5. Changes between successive
Red Lists could provide a useful measure of progress in the
conservation of the worlds biodiversity.
Acknowledgements
This essay draws on
the ideas and publications of many of my colleagues at BirdLife.
I would like to thank Nigel Collar and Mike Crosby, in particular,
for their encouragement and input, and also Colin Bibby, John
Croxall, John Fanshawe, Adrian Long, and David Wege for helpful
comments.
Alison Stattersfield
BirdLife International
Wellbrook Court
Girton Road
Cambridge CB3 0NA
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