Management Effectiveness Evaluation in Protected Areas - A Global Study
Management Effectiveness Evaluation in Protected Areas - A Global Study
Citation
Fiona Leverington, Katia Lemos Costa,
Jose Courrau, Helena Pavese, Christoph Nolte,
Melitta Marr, Lauren Coad, Neil Burgess,
Bastian Bomhard, Marc Hockings (2010)
As the world faces some of its greatest challenges through climate change, protected areas’
values are ascending. They help to mitigate the extent of climate change by storing carbon in
forests and grasslands, soils and marine areas that would otherwise be emitted into or stored
in the atmosphere. Protected areas also assist in adaptation to climate change: they are a
source of fresh water and other environmental goods and services while also buffering the
effects of natural disasters.
We are aware that these important roles can be compromised by inadequate management.
The extreme is where protected areas are nothing more than ‘paper parks’ – existing on
maps and country lists but no more protected from threats than surrounding areas. The
community of protected area specialists, conservation groups, international agencies have
responding to these concerns, and have striven to ensure that management is continually
improving. As part of this effort, assessments of Protected Area Management Effectiveness
(PAME) have now been conducted in more than 140 countries. These assessments have been
included in the Protected Areas Program of Work and the associated targets developed by
the Convention of Biological Diversity (CBD). They are conducted in many different ways
and by many different groups, but have the common ultimate aim of improving protected
area management and accountability.
The Global Study of Management Effectiveness was initiated and supported by the WCPA,
along with NGO and academic partners, to bring together the numerous and diverse sets of
information collected at local level and to interpret the information to assist us at
international level. This has been a big undertaking and has only been delivered with the
cooperation of countless people from across the global protected area network.
The team that has put together this Study need to be recognized for their contribution to
protected area management around the world. The findings of this study will assist me, the
WCPA and our partners to determine future priorities to improve protected area
management. I know that it will also help protected area managers and others working at
local level to find and share information about management effectiveness.
Nik Lopoukhine
Chair, IUCN World Commission on Protected Areas
Individual supporters of management effectiveness initiatives and the Global Study have
included Jamie Ervin, Jason Spensley and Jef Parrish (TNC), Sue Stolton and Nigel Dudley
(Equilibrium) Leonardo Lacerda (formerly WWF), Alexander Belokurov and Liza Higgins-
Zogib (WWF), Geoffroy Mauvais (IUCN), Stuart Butchart (Birdlife International), Kathy
MacKinnon and Tony Whitten (both formerly of the World Bank), Josep-Maria Mallarach
and Charles Besancon (UNEP-WCMC). In the European study, there was major support
from Suzanne Stoll-Kleeman (University of Griefswald) and Gisela Stolpe, among others .
Allan Lisle from University of Queensland has been responsible for the ‘translation tool’
and assistance in statistical analysis: his help has been very valuable.
Special thanks for input, assistance and review of individual methodologies and for provision
of data and information about assessments are given to Jamie Ervin, Alexander Belokurov,
Sue Stolton, Dan Salzer, Stéphane Pauquet, Sandra Valenzuela, Angela Martin, Helder de
Faria, Maria Padovan, Arturo Ignacio Izurieta, Juan Chang, Bernard Pfleger, Dan Paleczny,
Kathy Rettie, ‘Wildtracks’ of Belize, Ronaldo Weigand Jr, Vinod Mathur. Mark Zimsky,
Kathy MacKinnon, Surin Suksuwan, Carmen María López, Hag Young Heo, Adriana Dinu,
Alexia Wolodarsky, Jonathon Smith, Chris Dickenson, Rita Mabunda, Thomas Barano,
Chris Mitchell, Peter Stathis, NSW Dept of Environment and Conservation, Natalia Flores,
Hildegard Meyer Cristian-Remus Papp, David Butterworth, Dave Chambers, Mervi
Heinonen, Gabriele Niclas, Nicole Schrader, Rauno Väisänen. Carlo Franzosini, Genti
This study would not be possible without the people around the world who work to record
management effectiveness in the field and kindly share their information.
Objective 1: Record, collect and collate available information from assessment systems,
individual park assessments and other evaluations of management effectiveness that
have been undertaken in protected areas. Develop a system for integration of available
management effectiveness information into the World Database on Protected Areas
(WDPA).
The Global Study has recorded over 9000 assessments of protected area management
effectiveness evaluation (PAME) from 140 countries. Original data was obtained and
analysed for about half of these assessments, and in addition over 50 evaluation reports have
been reviewed. We developed a database which is being linked to the WDPA. A website to
enable viewing of the methodologies and study locations has been developed by the World
Conservation Monitoring Centre in partnership with the Global Study.
While we are sure that there are some assessments that we did not locate and include in the
Global Study database, we are reasonably confident that we have included the majority of
assessments that have been completed and in the public arena. Given this, the gap between
completed assessments and the 2010 target under the Convention on Biological Diversity
Programme of Work on Protected Areas of assessing 30% of the world’s protected areas is
substantial. Assessments recorded in the Global Study represent just 6% of the more than
100,000 protected areas included in the WDPA although 35 countries have achieved at least
the 30% target and 63 countries have assessed more than 15% of their protected areas. On an
area basis, progress is even more impressive with 67 countries meeting the 30% target and
99 countries assessing more than 15% of the area under protection. This represents
significant progress over the position of just a few years previously and there is evidence of
many more countries commencing ambitious programs of evaluation of management
effectiveness of their protected area systems in all regions of the world.
Though the available data does not represent a random or representative sample of protected
areas, and the method for translating the data inevitably loses some richness of information,
interesting patterns can be seen. The average score of 4151 assessments (representing the
most recent in each protected area using each methodology), was 0.53 on a zero to one scale.
This indicates that management leaves much to be desired, with 13% of the assessed
protected areas ‘clearly inadequate’ (scoring less than 0.33) 62% scoring between 0.33 and
0.67 – in the range we defined as ‘basic management’ and 24% in the ‘sound management’
range (over 0.67).
The average was seen to vary significantly according to the Human Development Index
(HDI), with protected areas from the low-HDI countries scoring on average one-third lower
than those from high HDI countries.
Scores for the overall average and for individual headline indicators increased over time for
those protected areas where repeat assessments were conducted. This pattern was
particularly clear where assessments were linked to programs to consolidate and strengthen
protected area management, as in the Parks in Peril program.
There were clear patterns in the strengths and weaknesses of management, and these patterns
were consistent across most methodologies and regions Many protected areas lack basic
requirements to operate effectively, and do not have an effective management presence.
Threats to protected areas are still numerous and serious. Threats discussed in assessment
reports were classified according to the system developed by the Conservation Measures
Partnership. The most commonly nominated threats in most regions are hunting, killing and
collecting animals; logging and wood harvesting; gathering non-timber forest products;
recreational activities; and the management of adjacent lands. These show some consistency
across regions, though differences are seen in countries like Australia, where invasive
species and fire management are more serious threats.
Objective 4: Analyse most useful and commonly used indicators for assessing
management effectiveness of protected areas (i.e. what indicators are most reliable
predictors of overall effectiveness).
We analysed the correlations between individual headline indicators and the average mean
(with corrected item-total correlations). Overall management effectiveness was most
strongly linked to adequate infrastructure, equipment and information; good administration;
communication, adequacy of information, staff training and good management planning.
There was low correlation with the highest-scoring indicators (park gazettal and tenure
security) and with outcome measures of both values and community impacts.
The international cooperation and the sharing of information and experiences throughout this
project have been greatly appreciated and it is hoped that this spirit will continue to
contribute to better management and evaluation in the future
This aimed to help us understand more about what factors are essential to good management,
and to recommend ways to maximize the benefits obtained from conducting evaluations of
management. Sharing of experiences and lessons learned makes good sense. There can be
much wasted effort if organisations start from the beginning in developing evaluation
methodologies, ignoring the “lessons learned from a long history of efforts to develop useful
and practical methods of monitoring and evaluation approaches in conservation and other
fields” (Stem et al. 2005).
The Global Study was developed in response to the World Parks Congress Recommendation
5.18; Durban Action Plan Targets 5-7; and the specific goals and activities outlined in the
CBD Protected Areas Programme of Work.
The Programme established a specific goal (4.2) and related activities relating to PAME:
Goal 4.2 - To evaluate and improve the effectiveness of protected areas management
Target: By 2010, frameworks for monitoring, evaluating and reporting protected areas management
effectiveness at sites, national and regional systems, and transboundary protected area levels adopted
and implemented by Parties.
4.2.3 Include information resulting from evaluation of protected areas management effectiveness in
national reports under the Convention on Biological Diversity.
4.2.4 Implement key recommendations arising from site- and system-level management effectiveness
evaluations, as an integral part of adaptive management strategies
These are ambitious targets, and many countries are now striving to establish or increase
their capacity to evaluate management effectiveness
throughout their protected area systems. International
initiatives, such as IABIN, are assisting in this effort by
providing coordination and helping to share experiences
and techniques across jurisdictions.
Cumulative growth in total area protected * Excludes 52,932 protected areas with no
year of establishment
Cumulative growth in number of protected
areas
18
60,000
14
50,000 12
Total number of protected areas
10
40,000
8
30,000
6
20,000
4
10,000
2
0 0
1872 1891 1901 1911 1921 1931 1941 1951 1961 1971 1981 1991 2001
Year of establishment © UNEP-
WCMC,
Source: World Database on Protected Areas (WDPA), a joint project between UNEP and IUCN, managed and hosted by 2009
UNEP World Conservation Monitoring Centre (UNEP-WCMC), 31st January 2009.
Please contact protectedareas@unep-wcmc.org for more information.
However, using protected areas as a key strategy for biodiversity conservation is reliant on
the assumption that they can protect their values for the foreseeable future. Society is making
investments of money, land, and human effort into protected area acquisition and
management and into specific intervention projects. The community, people investing in
protected areas, and protected area managers need to know if these investments are sound.
Questions include:
• Are protected areas effectively conserving the values for which they exist?
• Is management of these areas effective and how can it be improved?
• Are specific projects, interventions and management activities achieving their
objectives, and how can they be improved? (Leverington and Hockings 2004)
The need to evaluate protected area management effectiveness has become increasingly well
recognised internationally over the past ten years, as we have seen in both developed and
developing countries that declaration of protected areas does not always result in adequate
protection (Ervin 2003a; Hockings and Phillips 1999; Hockings et al. 2000). As the total
number of protected areas continues to increase, so too do calls for proper accountability,
good business practices and transparency in reporting (Hockings et al. 2006). In addition, as
other strategies for ‘off-park’ conservation and multi-use reserves have developed, and as
concern for rural poor and Indigenous rights has increased, there has been more questioning
about the role and effectiveness of protected areas (for example, see the records of the IVth
This need for protected area effectiveness evaluation echoes calls to measure, evaluate and
communicate the effectiveness of conservation strategies more generally (Saterson et al.
2004; Sutherland et al. 2004) (Ferraro and Pattanayak 2006) ). It has been brought into a
sharper focus by the increasing threats to protected areas through climate change, and debate
about whether protected areas remain relevant in periods of rapid biophysical and social
change (Dunlop and Brown 2008; Hannah et al. 2007; Shadie and Epps 2008).
Evaluation is also critical for adaptive management. We live in a world where we experience
and can expect dramatic changes – in the biophysical world, the community, the economy
and the way we govern ourselves. As global change accelerates, we need to be able to show
to what extent protected areas are functioning as an effective strategy for conservation.
Managers need to understand what works and what does not, so they can build on the best
ideas and practices. Evaluation of management effectiveness is a vital component of this
responsive, pro-active style of protected area management. Through evaluation, both positive
and negative experiences can be used as opportunities for learning, and continual
improvement can be combined with anticipation of future threats and opportunities.
Staff frequently do not find the time to reflect on management practices under the pressure of day to
day operations. Management effectiveness evaluation workshops provide the opportunity for this
information sharing and discussion and yield rapid improvements in management practices.
As discussed above, there are many reasons why countries, non-government organisations,
protected area managers, donors and others want to assess management effectiveness. These
different purposes may require different assessment systems and varying degrees of detail.
Broadly speaking, management effectiveness evaluation can:
• enable and support an adaptive approach to management of protected areas;
• assist in effective resource allocation between and within sites;
• promote accountability and transparency by reporting on effectiveness of
management to interested stakeholders and the public;
• help involve the community, build constituency and promote protected area values.
(Hockings et al. 2006; Leverington and Hockings 2004).
Assessments might contribute to all of these, but an evaluation that is useful for one purpose
(e.g. accountability to a donor or treasury) may not be useful for another (e.g. on-ground
management).
These studies provide essential and objective information about conservation success at a
broad level, but have significant limitations. They rely on a limited suite of indicators and
may not detect other important changes, such as the loss of animal populations which lead to
the “half-empty forest” syndrome (Redford and Feinsinger 2003; Stoner et al. 2007)
Measuring gross changes through remote sensing is more difficult in non-forest
environments such as grasslands or marine parks. Level two studies raise a number of
questions: would the protected areas be likely candidates for clearing anyway? If forests are
not cleared, to what extent is this due to good management? Has the protection of some areas
led to more clearing in other places (Andam et al. 2008; Ewers and Rodrigues 2008)?
While this second level of assessment is important in countries where major large-scale
threats operate, it is not particularly relevant in many more developed countries where it is
unlikely that gross alienation or developments will take place within a protected area.
The information in this report is mostly derived from PAME (third level) studies.
Ideally, such detailed information should underlie judgments about outcomes that are made
in third-level PAME assessments. However, in many cases the information is not available
and, expert opinion from protected area staff, local people or scientists is often used.
Unfortunately, many monitoring and research projects on protected areas are not
incorporated into adaptive management and do not provide useful feedback loops into
management. Combining targeted fourth level (monitoring) studies with third level
(management effectiveness) information is an efficient way to overcome this issue.
This paper primarily draws information from third level PAME assessments, which in some
cases draw on detailed monitoring data. We used raw data and reports from a range of
different methodologies to investigate some questions of concern to the conservation
community: the extent to which PAME evaluations have been undertaken, the level of
management effectiveness in places which have been assessed, and factors which appear to
be most highly correlated with effective management.
The need to develop ‘tools and guidelines’ to ‘evaluate the ecological and managerial quality
of existing protected areas was recognised in the Bali Action Plan adopted at the end of the
Third World Congress on National Parks (the Bali Congress) in 1982. The IVth World Parks
Congress in 1992 identified effective management as one of the four major protected area
issues of global concern and called for IUCN to further develop a system for monitoring
management effectiveness of protected areas. Following these congresses, the issue of
management effectiveness of protected areas began to appear in international literature and
particularly within the work and deliberations of WCPA.
The development and application of PAME since that time has been strengthened by an
interaction of theoretical and practical interests:
• Academic study, including indicator and scoring development, methods of analysis,
field trailing of different systems, and validation of field studies;
• Work by conservation organizations (NGOs) attempting to evaluate programs, create
greater awareness, and strengthen management; and
• Work by government protected area management agencies to conduct internal
evaluations.
Latin America has been particularly rich in terms of debate and development of PAME.
Progress in that region was reviewed by Cifuentes et al. (2000), and since then there has
been further development of methodologies and extensive application of some systems. The
history of some of the countries and methodologies is discussed in Cracco et al. (2006).
Evaluation that assesses each of the elements of Figure 2 (and the links between them)
should provide a relatively comprehensive picture of management effectiveness. The
Framework can be used to develop rapid evaluation systems, assessing management of an
entire system of protected areas, rapid assessments of individual sites or detailed on-going
assessments of management of a site based on extensive monitoring programs. One benefit
of using the Framework approach is that all these assessments can be conceptually linked,
using a common set of broad criteria and a similar approach to evaluation.
Within the four major purposes for evaluation outlined in Section 1.1, assessments differ in
methodology, geographic, topical scope and level of detail. The scope of the assessment can
vary from a specific topic, such as community relations, to all aspects of management. The
level of detail can vary from rapid assessments to detailed evaluation.
In addition, every protected area system has individual circumstances and needs, and
assessment exercises are often tailored to suit these. Often, especially in earlier years, people
had undertaken a number of assessments before they became aware of other approaches, and
there was a natural reluctance to abandon methods which had been applied and accepted in
the field. For all these reasons, the community of practice involved with management
effectiveness evaluation has been reluctant to adopt or recommend a single methodology,
preferring to work within the general IUCN-WCPA Framework.
Since the first publication of a draft of this Framework in 1997, it has been used to develop
specific management effectiveness evaluation systems which are being applied around the
world. They include broad, system-wide assessments such as the WWF RAPPAM system
(Ervin 2003b) and systems developed in Finland (Gilligan et al. 2005), Catalonia in Spain
(Mallarach and Varga 2004), New South Wales in Australia (NSW Department of
Environment and Conservation 2005) and Korea (Korean National Parks Service and IUCN
2009) rapid, site-level systems built around questionnaires or scoring aimed at being applied
in multiple sites, such as the World Bank/WWF Tracking Tool (Stolton et al. 2007 ) and a
related version developed for marine protected areas (Staub and Hatziolos 2004); and
detailed, site level monitoring and assessment programs (Hockings et al. 2007; Paleczny et
al. 2007).
List of assessments
• Compilation and data entry of all known assessment sites with any available metadata
and methodology;
• Cross-checking against World Database on Protected Areas or reports for metadata.
Analysis of results
• Calculation of means, standard deviations and item-corrected correlations for headline
indicators for all results.
This report has drawn on analysis of both raw data and studies to define patterns and
correlations of protected area management.
1
More details of this methodology are discussed in Section 3.2.
Figure 3: Proportion (by number) of the protected areas of each country where assessments
have been recorded
While we are sure that there are some assessments that we did not locate and include in the
Global Study database, and others where we were not able to obtain spatially accurate data,
we are reasonably confident that we have included the majority of assessments that have
been completed and in the public arena. Given this, the gap between completed assessments
and the 2010 target under the Convention on Biological Diversity Programme of Work on
Protected Areas of assessment of 30% of the world’s protected areas is substantial.
Assessments recorded in the Global Study represent just 6% of the more than 100,000
protected areas included in the WDPA. However, 35 countries have achieved at least the
30% target and 63 countries have assessed more than 15% of their protected areas. On an
area basis, progress is even more impressive with 67 countries meeting the 30% target and
99 countries assessing more than 15% of the area under protection. This represents
significant progress over the position of just a few years ago. There is also evidence of many
more countries commencing ambitious programs of evaluation of management effectiveness
of their protected area systems in all regions of the world.
The Biodiversity Indicator Partnership is compiling information about the global extent and accuracy of
a range of indicators, including protected area coverage and management effectiveness, and is
attempting to understand some of the linkages between them. The overall picture is of declining
biodiversity, but some indicators of interventions are encouraging (Butchart et al. 2010; Hoffmann et al.
2010).
Oceania
Northern America
La4n America and the Caribbean
Europe
Asia
Africa
(numbers represent each assessment in individual protected areas for each methodology – where
there are multiple studies for one site these are counted also)
Figure 5: Application of PAME methodologies in different regions (data entered by
October 2010)
Systems or site level assessments are based on the global methodology developed under
the coordination of the World Commission on protected areas of IUCN (WCPA). The project
adapted this framework to the subregional context, then trained a team of West African
evaluators, and carried out multiple pilot evaluations. To date, nine country systems have
been evaluated, as well as three networks of sites (marine protected areas, RAMSAR sites
and World Heritage sites) concerning around 120 sites using methodologies such as
RAPPAM, PAMET or EoH. These evaluations have allowed IUCN-Papaco to bring targeted
technical support on duly selected sites after assessments and to develop targeted training
courses to respond to the main issues identified. The project also gives particular attention to
capitalization and a synthesis of all assessments is currently under construction.
The project management is ensured by the Regional office of IUCN, based in Ouagadougou
and a scientific and technical Committee (STC), composed of WCPA members and other
relevant experts, has been created at the beginning of the project. Protected areas manager
are committing voluntary to a “quality” approach. In the long term, this should allow the
identification of best practices, examples to be followed, and the recognition of good
management (certification) and would thus ensure the continuity of the project (already
supported by new donors).
Where methodologies specifically use the IUCN-WCPA Framework, the primary basis for
organising indicators is the cycle of management. By working with the Framework elements,
methods pay systematic attention to all parts of the management cycle, including context
issues (values, threats and external influences on management), outputs (achievement of
work programs, products and services) and outcomes (achievement of objectives, changes in
values, and effects on the community). Some of these elements can be under-represented in
methodologies which focus on ‘input’ and ‘process’ indicators.
Where methodologies have been designed using different organisational frameworks, the
IUCN-WCPA Framework can still be applied, by considering how the methodology relates
to the IUCN-WCPA Framework and ‘coding’ the questions and indicators appropriately. For
example, a recent assessment in Belize used a different system, but the analysis included
reporting according to the Framework elements.
Perhaps the most useful approach, used in several recent methodologies, organises indicators
according to both the Framework elements and the more commonly nominated fields of
management. Results can easily be analysed either way.
This matrix provides a way of understanding the diversity and similarities of indicators more
easily, by ranging the elements and criteria of the IUCN-WCPA Framework against
dimensions of park management. Most questions/ indicators can be fairly easily mapped into
a cell on the grid, though sometimes a question covers two or more cells. In many cases,
multiple questions will be asked about one cell – for example, the ‘biodiversity value’ cell.
This matrix can be used to map or to generate indicators for studies at any level from very
general to very detailed. During the process of the Global Study, over 2000 indicators were
mapped to understand the most common questions asked in evaluations. This analysis was
then used to help generate a ‘common reporting format’, which will be described in the next
section.
Sharing experiences in
management and in evaluation
has been critical in developing
and improving PAME
methodologies and
approaches. Non-government
organisations have played a
key role in training and in
facilitating the exchange of
information across protected
areas and countries.
Figure 8: Numbers of indicators mapped onto matrix considering both the elements and the
dimensions of management
Table 2: Section of the indicator matrix showing where indicators might lie
spiritual and aesthetic
landscape and geology
conserving cultural/
ELEMENTS AND
conserving natural
ecosystem function
CRITERIA
cultural (material)
cultural (other)
biodiversity
DIMENSIONS OF
integrity
MANAGEMENT
spiritual
Context
values and significance X
threats/issues/pressures
stakeholder attitudes and relations X
influence of external environment X
Inputs
staff X X
funding X
One aim of the Global Study was to find a mechanism to enable cross-analysis of data from
methodologies using a variety of different indicators.This mechanism has two components:
‘matching’ the topic of each indicator to a common ‘headline indicator’; and establishing a
‘translation’ system so that the different scoring systems are incorporated in a consistent
way. It is hoped that the mechanism used in the Global Study provides a meaningful way to
meet these requirements.
A simple translation tool’ mechanism (using Excel) for converting data from diverse
methodologies and scoring systems into the common reporting format and into the minimum
data set has been developed by the Global Study. Indicators in the principal methodologies
have been allocated to appropriate ‘headline indicators’, and this has enabled cross-analysis
of all data available to date. This tool can if desired be built into spreadsheets or databases
generated by individual studies, so that only information rolled up into the common
reporting format needs to be forwarded to coordinating agencies. Other reporting and
analysis can continue through individual methodologies in the usual manner.
For convenience and to maximise the ability to utilise information already being collected,
the team associated with the Global Study and the WCPA have worked to develop a
summary indicator set which meets the needs of international agencies but also would be
able to be derived from the common reporting format.
Mean score
Figure 9: From many to a few: the process of developing a common reporting format and
summary data set.
These indicators would be grouped under the common reporting format headline indicator
(one of 45): ‘Natural resource and cultural protection activities undertaken’ and in the
summary data set indicator (one of 14): ‘Natural and cultural resource management systems’.
Robust and effective management is needed at system level where critical financial
disbursement and management, protected area acquisition, wide-scale community
engagement, and overall planning and policy initiatives usually occur. For national or
regional agencies, these important activities are often concentrated at central office or district
headquarter level. Support for site-level management from these centres is also vital. PAME
systems which consider these indicators as well as those concerned with individual protected
area management will gain a better measure of progress in protected area management on a
country and system-wide scale.
Some methodologies, notably RAPPAM (Ervin 2003b), are intended to assess protected
areas over an entire protected area system, and include a number of questions which relate to
the design and management of the system as a whole. Such a study was undertaken in Brazil
in 2006, where RAPPAM was applied at a system level, assessing a total of 246 federal
protected areas (Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis
and WWF-Brasil 2007). A valuable study conducted in Finland (Gilligan et al. 2005;
Heinonen 2006) was aimed at the system level, and while the assessors visited a number of
parks and considered information relating to individual protected areas, all the indicators are
at system level (this was combined with a RAPPAM study to look at site-level indicators).
Other assessments of protected area systems include a similar study in Lithuania (Ahokumpu
et al. no date) and an extensive assessment under way in India (Vinod Mathur pers. comm.).
System level assessments have recently been conducted or are underway in Korea, Colombia
and Thailand and it is likely that more studies at this scale will be conducted in the future.
In other studies, data is gathered at the protected area level, but reports available to the
public ‘roll up’ the data and present results at the system or group of protected areas level. In
this way, the evaluation is presented as an evaluation of the system as a whole rather than of
Management planning is an indicator used in almost all PAME methodologies and is one of the
‘headline indicators’ of the common reporting format. It can be reported at both protected area level
(existence and quality of management plans) and at system level (planning systems and policies,
manuals, and the system-wide proportion of protected areas with management plans).
Table 3 lists common indicators that have been used for reporting at the system level.
Additional indicators ‘rolled-up’ or analysed from protected area level reporting can be
added, but this Table outlines the minimum recommended fields.
Table 5: Common Reporting Format at system level (note: other indicators can also be ‘built up’
by summarising site-level results). Shaded fields are most easily obtained from combining site-level
data
Element 'Headline indicators' Comment
International cooperation and support Includes commitment to international
treaties, international aid, participation in
regional/ cross-boundary initiatives
Supportive national government policies, laws Includes policies for cooperative
and mechanisms for protected are management conservation management
PLANNING A systematic and clearly articulated design/ Principles for reserve selection, gap
vision for establishment of a representative analysis conducted
protected area system
INPUT Sufficient human resources for PA system Staff numbers and training/ capacity,
including support staff and system
managers
Adequate information and information systems Includes overall system-wide knowledge of
to manage the PA system biodiversity, cultural issues
Effective system of governance, leadership and Unlikely to be measured by internal audit
administration at system-wide level
Monitoring and research programs for threats
and values of PA system
Participation/ involvement of stakeholders at System-wide advisory committee;
system level transparency of agency dealings etc
Management effectiveness evaluation e.g. Regular state of parks assessments
PROCESS Training and capacity-building program for staff Planned system-wide training initiatives and
support for staff
Effective enforcement of protected area laws at e.g. existence of support staff for
all levels enforcement
System-wide program of communication,
education and stakeholder relations
Adequacy of system-wide policies, standards
and guidelines for PA management
Areas of greatest strength and weakness in From analysis of PA results
management
Extent to which system plan has been achieved
OUTPUT
over previous period
Protection of cultural heritage
Protection of natural integrity/ biodiversity
OUTCOME Expectations of visitors generally met or May be linked with question below
exceeded
Overall impact of/ perception of protected area e.g. As shown by national/ regional
system on communities community attitude surveys in relation to
their opinions and experiences with PAs
Where there is more than one indicator matching to a headline indicator, the scores are
divided by the number of applicable questions in order to derive a score for the headline
indicator. However, in some cases one indicator is clearly more important than another.. For
this reason, each of the n individual indicators (Sj) was allocated a weight (Wj) between zero
and one in terms of its contribution to a headline indicator (I) such that the sum of weights
was equal to 1.
For example, in the Tracking Tool there are five questions matching the headline indicator
‘management plan’. The question ‘Is there a management plan and is it being implemented’
is a key question here and is therefore weighted more heavily than the other, supplementary
questions. An sample of questions from the Tracking Tool is shown in Table 6.
Table 6: An example of the matching and weighting process for some indicators from the
Management Effectiveness Tracking Tool (Stolton and others, 2007) across to the headline
indicators
Question Headline indicator Weight
Park gazettal (legal
Does the protected area have legal status? establishment) 1
Are inappropriate land uses and activities (e.g. Adequacy of law enforcement
poaching) controlled? capacity 0.5
Adequacy of law enforcement
Can staff enforce protected area rules well enough? capacity 0.5
Is there a management plan and is it being
implemented? Management plan 0.5
Have objectives been agreed? Management plan 0.125
The planning process allows adequate opportunity for
key stakeholders to influence the management plan Management plan 0.125
There is an established schedule and process for
periodic review and updating of the management plan Management plan 0.125
The results of monitoring, research and evaluation are
routinely incorporated into planning Management plan 0.125
In most cases, the allocation of weightings was very simple due to the low numbers of
indicators relating to the common reporting format in each methodology. In more
complicated cases, allocating the weightings has been undertaken through a very simplified
version of an Analytical Hierarchy Process, with collaborative decision-making (Saaty
1995).
Some data is quantitative (though often ‘best estimate) interval or ‘ratio’ data, for example
where people estimate the amount of funding needed for a protected area and then estimate
what proportion of this funding they have.
Most of the data set could be regarded as ‘ordinal’, where the ratings are in order from
lowest to highest. The gaps between the different scores are not entirely even and consistent,
and are sometimes difficult to quantify (for example, the quality of a management plan or
how ‘good’ a protected area design is). However, the data is much richer than a purely
ordinal data set might be: a purely ordinal data set would just order responses from the best
to the worst. All PAME methodologies have attempted to develop ratings that reflect steps
towards ideal management that are as even as possible, and there is extensive discussion on
these points during methodology development and in evaluation processes. That is, though
we cannot definitively say that a score of four is twice as good as a score of two, this is as
close to the truth as possible. These scores are in many ways analogous to the Likert scales
commonly used in much sociological research (Likert 1932), and there is much debate in the
literature about the nature of data derived from such questionnaires.
Some methodologies, including most of those adopted in Latin American countries, use a
five-point scale, as proposed by Cifuentes et al. (2000), based on the recommendations of
ISO 1004. Most of these systems work on the concept of what percentage of the optimum (or
the optimum desirable/achievable) state currently exists.
Other methodologies follow the scoring system used by the Tracking Tool (McKinnon
2003), which uses a four-point scale to avoid the issue of most responses clustering to a mid-
point. RAPPAM (Ervin 2003b) uses a variation of the four-point scale. The four-point scale
also corresponds well with the ecological evaluation work being undertaken by TNC, which
proposes that a scale of ‘poor’, ‘fair’, ‘good’ and ‘very good’ has scientific merit (Parrish et
al. 2003).
The variation of scoring systems poses the question of how best to use the different data
types and how to ‘translate’ systems using different scales without losing statistical validity.
It was recommended by a University of Queensland statistician (Allan Lisle pers. comm.)
that the most valid way to undertake this is to map all ratings onto a zero to one scale, where
zero represents the lowest measurement and one the optimum situation. This approach has
minimised the loss of information and enables averages to be calculated. The scoring
systems of some of the major PAME methodologies are shown in Table 7, with the
‘translation’ to a zero to one scale in the bottom row for each system.
It was intended to always maintain the integrity of the original scoring system, by keeping
the gaps between the rescaled scores the same. However, analysis of preliminary results
showed that this was creating false differences in results among different methodologies, so
a more consistent conversion was applied2.
After the raw data was transformed into the common reporting format ‘headline indicators’
and data from all studies combined, the resulting figures were analysed to obtain averages
2
The RAPPAM methodology used a 0,1,3,5 scale and this is now converted to 1, 1/3, 2/3, 1 (with
consistent gaps between scores) so it is more compatible with other methodologies.
Though the data may not be regarded as true parametric interval data, we considered that,
given the very large sample size, data patterns which approach normal distribution and the
thoughtful nature of the indicators, it was valid to use averages and standard deviations to
develop the general pictures of strengths and weaknesses presented here. Further statistical
work will be undertaken in the future.
Overall averages are comprised of whichever ‘headline indicators’ are available from the
information at hand, and therefore vary widely in their composition depending on the
methodology used. To confirm whether the arithmetic averages would be significantly
biased according to the fields used to calculate it, a comparison was made between the ‘least
square means’ (which take into account which indicators are missing) and the overall
arithmetic averages. The results showed clearly that there was very little difference between
the two methods of calculation and it was concluded that the simple approach of calculating
the average of available indicators appears to be sound (Allan Lisle pers. comm.). Numbers
of ‘most recent’ assessments used in analyses for the Global Study are shown in.
Table 8
** Some assessments contribute to less than six headline indicators (e.g. most of the ‘Park Profile’’
studies), so valid means could not be calculated for these results.
Changes over time: In addition, for 272 repeat studies – where two or more assessments
have been conducted over time in the same protected area using the same methodology – we
compared mean scores for the first and last assessments to investigate the extent to which
protected area management changed over time.
• As discussed above, most of the information in this report is derived from qualitative
assessments, and scoring may vary depending on the point of view and knowledge of the
evaluators. Parametric analyses have been conducted on the basis of the data being
robust and the belief that such analyses are ‘meaningful’ (Knapp 1990), but these results
should be interpreted with caution and are only intended to reveal general patterns.
• Statistical analysis is conducted only on the assessments for which we have been
provided with usable raw data, which is about 50% of the known assessments.
• Translation of raw data into the common reporting format enables cross-analysis but
inevitably leads to a loss of the ‘richness’ in data, especially information obtained from
more detailed studies. People interested in more detail should consult the original
reports.
• The information content of the headline indicators varies widely: some methods ask
numerous questions about one broad topic such as community involvement, which are
then combined into only one headline indicator, while other methods have only asked
one question relating to this topic. This also means that the original weighting systems of
the methodologies are often not reflected in our analysis.
3 Correlation measures the strength and direction of a relationship between two sets of variables (such
as two different indicators). That is, the more strongly they are positively correlated, the more you will
expect that as one increases, the other one will increase too. If the two indicators are completely
independent, the correlation will approach zero. If they always vary in exactly the same way, the
correlation will be one. (If they vary in the opposite way, the correlation will approach -1).
If the correlation is significant at p<.0001, this means that there is a very low probability (less than
one in 10,000) that the observed correlation arose simply by chance. A positive correlation does not
necessarily mean that there is a ‘causal’ relationship: there might be some other factor (such as
resourcing) that influences both variables.
PAME can be applied in private as well as public protected areas and is often required for
accountability of such reserves.
Scores for individual protected areas measured vary from zero to very high. Only 13% are in
the ‘clearly inadequate’ range. Most protected areas are clustered in the middle third (basic
management), with 27% of the total in this range but below 0.5 (basic but with major
deficiencies) and 35% above 0.5. Nearly a quarter (24%) are in the ‘sound’ range.
Scores vary according to the regional context and the economic environment of
management.
Statistically, the average scores vary significantly according to the UN region (see Table 9),
but these differences are not considered to be particularly meaningful. These regions
encompass huge variation in the standard of protected areas and the assessments considered
do not attempt to sample this variation: for example the assessments in Oceania include a
small number in Papua New Guinea and a large number in Australia, with none from the
Pacific Island Nations. The European data set is biased towards protected areas in eastern
Europe and Russia.
However, some patterns can be observed. All regions – including the developed nations –
include a proportion of well managed and some poorly managed protected areas.
Proportionally more of the African protected areas evaluated have little effective
management and are in great need of assistance, though many of these are newly created.
Protected areas in Latin America tend to score mostly in the ‘basic’ range.
An analysis per country is not presented as this study has committed to avoid making
comparisons which could be interpreted as criticisms of individual agencies. Contextual
information is needed to interpret results at this finer scale.
However, an analysis of results according to the Human Development Index (HDI) – which
is applied per country - shows highly significant differences which may be more meaningful.
As expected, the scores are much higher in those countries with high and medium HDI
ratings (Table 8).
Table 10: Average scores (most recent) analysed according to HDI with Kruskall-Wallis test
Of the five management aspects assessed as strongest overall (scoring over 0.6) four are
from the ‘planning’ element of the IUCN-WCPA Framework: gazettal and legal status,
marking of protected area boundaries, tenure issues, and design of protected areas.
(However, the ‘management planning’ indicator scores much lower). The ‘process’ indicator
relating to governance and leadership also scores highly.
The six aspects of management on average assessed as most unsatisfactory (below 0.45 on a
zero to one scale) include inputs (funding adequacy, funding security and staff numbers) and
the process indicators relating to community assistance programs, management effectiveness
evaluation, and building and maintenance.
Figure 12 shows average scores from the most recent assessments for each ‘headline
indicator’ in descending order4. Shading indicates for each indicator which element it
4
Headline indicators with 500 or fewer records have been omitted from this figure but are included in
the table. None of the methodologies include indicators relevant to all headline indicators, so the
number of records for each varies. In addition, some records are blank.
When the strengths and weaknesses are examined across the UN regions, there is a
remarkable similarity in the patterns of the headline indicator scores. The exception is
Oceania, where the ten highest scoring factors include visitor management and building and
maintenance programs (which are low in other regions). This reflects a greater emphasis and
capacity in this regard in the Australian protected areas assessed. Management planning is
also stronger there, where a concerted effort to increase the coverage of management plans
has been made in recent years.
Figure 12: Average scores for headline indicators from 'most recent' studies
Notes: Where there have been multiple studies at a site using a methodology, only the most recent data has been
used. While data from 4264 assessments was analysed, most headline indicators have fewer entries (see Table 11)
Headline indicators with less than 500 entries have been deleted from this figure. Colours used to indicate the
element of the IUCN-WCPA Framework: Black indicates ‘context’ factors, aqua ‘planning’ , red ‘inputs’, brown
‘process’ ,yellow ‘ outputs’, and green ‘outcome’
Planning is the strongest of the elements overall, but management planning itself is weak.
Aspects of management relating to the establishment of protected areas are relatively strong
and the data possibly underestimates the real picture. For example, large dataset from
Australia does not include indicators about gazettal or tenure issues as all protected areas in
the states concerned are legally gazetted before they are included in a protected area system,
so this would score a uniform ‘1’. However, in some areas tenure issues and boundary
Though tenure rates well overall in all regions, it seems that where tenure issues still exist,
they tend to be serious: for example these are noted to be of concern in a number of eastern
European countries which have undergone major political changes (Nolte et al. 2010), and
there are also problems with establishment of protected areas and community rights in some
countries in Latin America and Asia.
Management planning scores at only just the basic level (0.53), and inadequate management
planning is often mentioned as a major issue in reports. The figure for Africa is particularly
low, but again this is mentioned as a problem in workshops and reports from all over the
world. Even where plans exist, they are often inadequate, out of date, or not well integrated
into management.
Table 11: Mean average scores for each headline indicator. Shading key same as above.
St
Headline Indicator N Mean Dev
Constraint or support by external political and civil environment CC 1893 0.53 0.23
Park gazettal P 2559 0.85 0.28
Tenure security and issues P 1106 0.61 0.38
Marking and security/ fencing of park boundaries P 2794 0.63 0.34
Appropriateness of design P 2340 0.65 0.26
Adequacy of p.a. legislation and other legal controls P 364 0.56 0.29
Management planning P 4039 0.54 0.31
Adequacy of staff numbers I 2504 0.41 0.29
Adequacy of current funding I 2642 0.38 0.28
Security/ reliability of funding I 2032 0.37 0.32
Adequacy of infrastructure, equipment and facilities I 2702 0.45 0.28
Adequacy of relevant, available information for management I 3869 0.55 0.27
Effectiveness of governance and leadership PR 519 0.62 0.33
Effectiveness of administration including financial management PR 3339 0.58 0.31
Management effectiveness evaluation undertaken PR 1493 0.42 0.29
Adequacy of building and maintenance systems PR 2985 0.50 0.34
Adequacy of staff training PR 2319 0.49 0.28
Staff/ other management partners skill level PR 1589 0.53 0.30
Adequacy of hr policies and procedures PR 2369 0.51 0.26
Staff morale PR 503 0.47 0.29
Adequacy of law enforcement capacity PR 3054 0.52 0.29
Involvement of communities and stakeholders PR 3094 0.52 0.27
Communication program PR 3361 0.50 0.29
Appropriate program of community benefit/ assistance PR 1091 0.38 0.39
Sustainable resource use - management and audit PR 328 0.48 0.36
Visitors catered for and impacts managed appropriately PR 3356 0.46 0.32
Natural resource and cultural protection activities PR 3580 0.50 0.26
Research and monitoring of natural/ cultural management PR 2881 0.47 0.27
Threat monitoring PR 959 0.57 0.28
Achievement of set work program OP 918 0.56 0.25
Results and outputs have been produced OP 761 0.52 0.26
Proportion of stated objectives achieved OC 150 0.58 0.24
Conservation of nominated values -condition OC 2229 0.57 0.28
Conservation of nominated values - trend OC 593 0.50 0.21
Effect of park management on local community OC 2421 0.57 0.28
Input indicators score at below an acceptable level, especially those relating to budget
adequacy and reliability, staffing and infrastructure and equipment. It appears that the basic
resources for protected area management are missing in many cases, and that where it is
present, there is often little security for the future. Information availability scores better than
other input indicators.
Outputs are rated as just acceptable, though these are measured in only half the assessments
(notably RAPPAM and the NSW State of Parks, but not the Tracking Tool).
Outcomes of management are generally scored relatively highly. While these are often
subjective estimates, there is no reason why these indicators would be scored more highly
than others. In Australia there is some evidence that protected area staff in workshops are
quite accurate in their assessment when compared with objective data, and tend to err on the
more pessimistic side (Cook pers comm.).
Patterns in this study confirm many of the observations made in relation to scoring of
questions in the Tracking Tool (Dudley et al. 2007 ) as shown in Table 12. Here also, design
and legal status were the highest scoring factors, with low ratings for funding, visitor
management and community relations.
Table 12: Highest and lowest scored questions from an analysis of Tracking Tool data from 331
forest protected areas (Dudley et al. 2007 )
Ten highest scored questions (in descending Ten lowest scored questions (in descending
order) order)
Legal status Education and awareness
Protected area demarcation Current budget
Protected area design Security of budget
Biodiversity condition assessment Fees
Protected area objectives Management plan
Resource inventory Monitoring and evaluation
Regular work plan Indigenous peoples
Protected area regulations Local communities
Resource management Visitor facilities
Economic benefits assessment Commercial tourism
Visitor management and facilities are concerns for management across the world, and often score
poorly in assessments. Overcrowding and loss of natural character are significant threats to iconic
areas
Above: Visitors at Dunes of Pyla protected area, France
Table 14: Item-corrected correlation of headline indicators with mean (corrected to exclude
each relevant item) (all are significant at p=.000)
Indicator Correlation with mean
Adequacy of infrastructure, equipment and facilities I 0.693
Effectiveness of administration including financial management PR 0.674
Communication program PR 0.633
Adequacy of relevant, available information for management I 0.587
Adequacy of staff training PR 0.58
Management planning PL 0.577
Adequacy of hr policies and procedures PR 0.577
Research and monitoring of natural/ cultural management PR 0.576
Achievement of set work program OP 0.576
Adequacy of building and maintenance systems PR 0.574
Visitors catered for and impacts managed appropriately PR 0.57
Security/ reliability of funding I 0.568
Management effectiveness evaluation undertaken PR 0.553
Adequacy of current funding I 0.548
Appropriate program of community benefit/ assistance PR 0.539
Adequacy of law enforcement capacity PR 0.538
Effectiveness of governance and leadership PR 0.531
Staff morale PR 0.528
Adequacy of staff numbers I 0.505
Constraint or support by external political and civil environment C 0.499
Involvement of communities and stakeholders PR 0.498
Adequacy of PA legislation PL 0.498
Results and outputs have been produced OP 0.464
Threat monitoring PR 0.397
Sustainable resource management PR 0.395
Appropriateness of design PL 0.388
Marking and security/ fencing of park boundaries PL 0.387
Proportion of stated objectives achieved OC 0.387
Staff/ other management partners skill level PR 0.382
Conservation of nominated values -condition OC 0.372
Natural resource and cultural protection activities PR 0.36
Conservation of nominated values - trend OC 0.31
Effect of park management on local community OC 0.306
Park gazettal PL 0.288
Tenure security and issues PL 0.271
We also correlated all indicators with outcome measures. The condition of protected area
resources were most strongly correlated with the support and constraint of the external
environment (a measure of context), and with inputs and processes including research and
monitoring, staff numbers and training, effectiveness of administration, natural resource
management and communication (Table 15).
Table 15: Correlations of headline indicators with estimated condition of values (all are
significant at p=.000)
Correlation with
Indicator (top 12 shown) condition of values
Constraint or support by external political and civil environment C 0.42
Research and monitoring of natural/ cultural management PR 0.35
Appropriateness of design PL 0.334
Adequacy of relevant, available information for management I 0.332
Effectiveness of administration including financial management PR 0.322
Adequacy of staff numbers I 0.309
Natural resource and cultural protection activities PR 0.306
Communication program PR 0.303
Adequacy of infrastructure, equipment and facilities I 0.3
Adequacy of staff training PR 0.296
Adequacy of law enforcement capacity PR 0.295
Adequacy of PA legislation PL 0.294
Effect of the protected area on the community was most strongly linked with
communication, involvement of communities, and community benefits programs (Table 16).
Table 16: Correlation of headline indicators with estimated effect on community (all are
significant at p=.000)
Correlation with effect on
Indicator (top 12 shown)
community
Communication program PR 0.335
Involvement of communities and stakeholders PR 0.318
Appropriate program of community benefit/ assistance PR 0.312
Management effectiveness evaluation undertaken PR 0.296
Adequacy of PA legislation PL 0.279
Natural resource and cultural protection activities PR 0.247
Visitors catered for and impacts managed appropriately PR 0.234
Management planning PL 0.23
Adequacy of staff training PR 0.223
Effectiveness of governance and leadership PR 0.218
Research and monitoring of natural/ cultural management PR 0.215
Appropriateness of design PL 0.205
In this study, we have looked at 272 repeat studies – where two or more assessments (up to
seven) have been conducted over time in the same protected area using the same
methodology. The vast majority (207) showed that effectiveness improved (Table 15), with
the ‘most recent’ score improving by an average of 0.24 (158% increase) on their original
score. Six protected areas stayed the same, while 60 showed a decrease in score averaging
0.14 (2% of their original score). Figure 13 shows trends over time.
In Latin America, repeat assessments for 207 protected areas5 (a subset of the 272 shown
above) were analysed for a study commissioned by IABIN in association with the Global
5
Repeat study results for Latin America were available for protected areas assessed by AEMAPPS in
Colombia (this methodology changed somewhat between the two assessments), Parks in Peril across
17 countries, PROARCA in Guatemala and Panama and a very small number of studies using the
Clearly improved management was seen in most of the assessed topics and sites. Headline
indicator scores in the first studies varied from 0.17 to 0.68, while in the most recent studies
the variation was from 0.41 to 0.79, so the poorest aspects of management had been greatly
boosted. This trend data mostly represented protected areas where there have been specific
intervention programs, such as the Parks in Peril program and PROARCA, and appears to
indicate the success of such programs in improving these aspects of management.
The most dramatic improvements shown between the first and last assessments are in the
management and auditing of sustainable resource use, and the level of land tenure issues.
Strong improvement is also seen in the involvement of communities and stakeholders and in
the availability and security of funding, all of which remain below 0.5, but are significantly
less negative than in the earlier assessments.
Marking or fencing of protected area boundaries, measured only by PROARCA in the repeat
studies, showed no improvement over time. Other factors which exhibited little positive
change include processes of staff morale, adequacy of human resource policies and
procedures, effectiveness of governance and leadership, and building and maintenance. None
of these factors were measured by the Parks in Peril Site Consolidation Scorecard, and all are
complicated processes which require considerable and consistent effort to improve.
Figure 14: Average scores for headline indicators in repeat studies from Latin America,
showing changes from first to most recent assessments (in descending order of change
magnitude
Tracking Tool. These total 207 protected areas, but a lesser number of assessments are available for
most of the headline indicators, due to variable questions asked in each methodology. Only those
indicators with more than 50 records have been included.
The other complication is that some methodologies list, rate and discuss a variable number
of significant threats (e.g. RAPPAM), while others list only the top two threats to each
protected area (the Tracking Tool). For this reason, we have only presented information
about the frequency of each threat, by calculating the number of ‘studies’ (that is, the
application of a methodology in a country) within each region where the threat has been
nominated in any report.
Further analysis of available information relating to the severity of threats is needed to better
understand the situation, but at this stage severity ratings have been calculated only for
European protected areas (Nolte et al. 2010). However, we hope that this preliminary
analysis will be useful in providing an initial global picture.
This study considered threats nominated in 227 PAME reports covering 125 countries and
6125 individual protected area assessments. The data was drawn from 17 methodologies
including RAPPAM, Tracking tool, IBA, Parkswatch, NSW State of Parks, Indian Tiger
Reserves and Finland MEE. First level threats across the 227 studies are shown in
Figure 15. Second level threats to protected areas regarded as most frequent and serious in
the reports of management effectiveness across five UN regions are shown in Table 18. The
shaded cells represent the ten most frequently recorded threats across the whole study and in
each region.
Figure 15: Frequency with which 'level one' threats are mentioned in 227 PAME studies
In other areas, such as many protected areas in Europe, there is a long tradition of hunting
and fishing though they are now more commonly undertaken for sport rather than essential
sustenance. There are concerns about increased hunting in eastern Europe : due to past
isolation and strict protection, some species remain abundant there while extinct in the
western countries, and increase hunting could have serious impacts (Council of Europe
Parliamentary Assembly 2004).
Logging and wood harvesting are also very frequently recorded as major threats, and
comprise the second most frequently mentioned level two threat overall.
As well as farming with protected areas, activities on adjacent lands in cases where
agriculture and grazing are not conducted sustainably are major issues for protected area
managers in all areas
Threats in this overview have been recorded and classified as individual issues. However, for
managers they are often interacting and intertwined. For example, threats associated with
recreation and tourism to protected areas can include development of infrastructure,
fragmentation through roads and powerlines, pollution, increased risk of wildfire, hunting
and fishing, and increased populations in adjacent areas. Both evaluation and planning for
better management need to understand the inter-relationships between the threats, and to
identify their root causes, if effective and sustainable solutions are to be devised and
implemented.
Above: While fire is a natural process in many protected areas, potentially destructive wildfires
are a threat to visitor safety and local communities, as well as to the survival of wildlife in
fragmented and isolated areas.
The term ‘bushmeat’ is commonly used to describe ‘the meat of any wild animal hunted for
food’ (Bowen-Jones et al. 2002) and refers to a wide range of species. Although the term
originates from Africa, where the forest is often referred to as the ‘bush’, the subsistence and
commercial use of wildlife is worldwide.
Hunting is a crucial issue for both wildlife conservation and human well-being. Bushmeat
provides an important protein and income source for many rural communities for which few
other options are available (Coad et al. 2010; DFID 2002) - estimates for the Congo Basin
suggest that in rural communities 30–80% of protein and almost all animal protein come from
bushmeat (Blaney 2008). The main protein alternatives to bushmeat are fish and livestock,
which are often more expensive and less available than bushmeat in rural areas (Wilkie et al.
2005) However, increases in human population density, commercial trade in bushmeat, and
access to forests through logging concessions have led to bushmeat hunting becoming the
most significant immediate threat to wildlife in many African and Asian countries (Bennett et
al. 2007; Milner-Gullanda et al. 2003).
Protected areas provide refuges for wildlife from the threats of habitat loss and hunting;
paradoxically this also makes them attractive hunting grounds, and the benefits which
protected areas can provide to local communities may put protected areas under pressure
from increased population growth on their borders (Wittemyer et al. 2008).
We would like to see protected area managers develop enduring programs of assessment and
improvement, which use evaluation processes and data not only for accountability and
reporting but also for adaptive management. Increasing use of system level assessments, for
example in Finland, South Korea, Colombia and Thailand, as well as institutionalisation of
PAME processes more broadly around the world, all indicate a commitment to this more
integrated type of evaluation. Over the next few years, examples of the integration of
management effectiveness assessments into routine planning and decision-making processes
for protected areas, such as is being developed in NSW in Australia, should further
demonstrate the benefits of this approach.
Assessments consider that protected areas are conserving their values and contributing
to their communities. In spite of lack of inputs and adequate management processes, the
‘outcome’ factors of meeting objectives, conserving values and affecting the community all
achieved positive and relatively high ratings. It is true that most assessments contributing to
this study have used only qualitative ‘self-rating’ judgments, but there is no reason to believe
that these indicators would be rated any more leniently than others. Studies looking at
empirical evidence also suggest that on a larger scale protected areas are reducing the rate of
deforestation, even where there is lack of funding and weak institutions (Naughton-Treves et
al. 2005).
Above: In some countries, deforestation still occurs in protected areas, but several studies
have shown that is significantly less within protected areas than in surrounding lands.
Protected areas have a vital role to play in mitigating the effects of climate change across the
world (Dudley et al. 2010): to play this role effectively threats must be controlled and
minimised. A primary defence against the impacts of climate change is to control pre-
existing threats, as their impacts are likely to be compounded in the future (Dunlop and
Brown 2008; Hannah et al. 2007).
Some protected areas still lack the basic requirements to operate effectively, and
threats are aggravated by the lack of a clear management presence. Very low scores for
security of funding in many assessments are a concern. There is a very strong link between
adequate ‘inputs’ and overall effective management, with the most important individual
indicators being equipment, infrastructure and information. Adequate equipment and
infrastructure is very highly correlated with effective management but is one of the weakest
indicators in almost all regions, so this factor deserves some serious attention.
Reports consistently mention the need for more staff, but the difficulty of attracting and
maintaining good technical staff often appears to be the problem (sometimes related to
human resource policies and wage levels), and the need for better training in a range of
technical areas is also mentioned. Even among the best funding protected area systems in
the world, staffing is regarded as ‘lean’, especially given the increased responsibilities in
both scope of duties and areas to manage (Gilligan et al. 2005).
It is essential that national governments provide better policy support for tenure
resolution in some cases, and for appropriate development planning and control
around protected areas. The consistent nomination of adjacent land use or ‘buffer zone
management’ as a major threat emphasizes the need to consider protected areas in the wider
landscape, especially as they are faced with additional pressures from climate change.
Protected area establishment and design are relatively effective, so the basics of
protected area systems are in place in most places. Gazettal of protected areas, resolution
of tenure issues, boundary marking, and sound design of protected areas have generally
scored among the strongest management factors. Reports and data indicate that there are
some areas where these vital factors still need attention, but in most cases these first steps
towards effective management have been achieved to an acceptable level.
It has been emphasized that management effectiveness evaluation can be conducted for a
range of different purposes. At the scale of this study, the contribution to on-ground adaptive
management of protected areas is limited, but it is hoped that the recommendations in the
previous section will be helpful. The definition of some key management factors might also
be of interest to managers, and provides some basis for thought about the most critical issues
to address at regional scales.
For the purposes of prioritisation and reporting across many protected areas, there are
occasions where a very simple assessment tool with only a few indicators might be
appropriate. This study has shown that a group of ten ‘headline indicators’ correlates very
strongly with an overall average obtained from many more factors, but does not correlate so
well with management outcomes. Therefore a minimum set of questions would need to relate
to the ‘top ten’ headline indicators plus at least two outcome indicators, to separately address
the conservation of values and the effect on the community. This small set of questions is
not, however, recommended for general evaluation purposes, as it would not enable
managers to understand enough about the protected area management to undertake necessary
improvements and would not provide a learning experience for staff.
This study has shown that the range of methodologies in use often paint a remarkably similar
picture of management strengths and weaknesses. Most importantly, the assessment process
provides the opportunity for managers and partners to learn from each other and to raise the
standard of their protected area management. This is a particularly successful technique
when it is coupled with a concerted effort to apply the findings of the evaluation and to
strengthen management to acceptable levels.
Institutionalise to ensure that the results are used to improve management. Implementation
of necessary changes often rests on the capacity of the evaluating organisations to influence
funding and policy. Management at all levels and funding organisations need regular
information which is relevant to their needs, their particular governance systems, and to the
questions they need answered. A particular recommendation is that information systems
must be built to make data available to mangers in an easily accessible form linked to their
decision-making systems.
Make it transparent to the greatest possible extent so that data can be shared and collated
and learning better applied.
Improve data quality – diversifying information sources and involving external experts in
interpreting results can make assessments more useful and more credible. Questionnaires
should be properly designed and trailed. While quantitative data is often regarded as more
credible than qualitative information this is not always the case. The type of data collected
should be matched to the issue being examined and the capacity of the agency or
organisation to collect data in a rigorous manner (Hockings et al. 2009). Qualitative data
collected using appropriate processes can be as reliable as quantitative data – it is most
important that the data used is matched to the issue being examined. Targeted monitoring of
the status of key values and threats should be undertaken and reported on, to provide more
credible outcome assessments.
See it as a learning process – though consistency is useful for comparisons over time,
adaptation and revision of methodologies are valuable steps in a learning process. Where
indicators are changed or added, efforts to maintain comparability should be made. Learning
and discussions should be encouraged among people developing and practicing PAME.
In the protected area context, a number of writers have listed characteristics of ‘good’
management effectiveness evaluations. Basic principles were defined by Courrau (1999) and
recommended in the PROARCA manual (Corrales 2004b). A set of guiding principles were
derived from a meeting in Melbourne in 2003, where a number of international practitioners
shared the ‘lessons learned’: these were incorporated into a book on global change
(Leverington and Hockings 2004) and the revised version of the IUCN-WCPA Guidelines
on management effectiveness (Hockings et al. 2006). An excellent synthesis of guidelines
was also presented in the report on strengthening PAME in the Andes region (Cracco et al.
2006).
The background into the methodology applied in Belize (Young et al. 2005) also provides a
good summary, while the ‘How is Your Marine Protected Area Doing’ guidebook (Pomeroy
et al. 2004) simply writes that evaluation should be
• Useful to managers and stakeholders;
• Practical in use and cost;
• Balanced to seek and include both scientific input and stakeholder participation;
• Flexible for use in different sites and in varying conditions; and
• Holistic through a focus on both natural and human perspectives’.
It should be kept in mind that while these are general principles, some characteristic of a
‘good’ evaluation will be determined by its purpose, scope and level. For example, while
participation and transparency are good in principle, in some cases a less inclusive and open
approach is necessary. Many of the principles described apply to more in-depth assessments
(levels 2 and 3), and will be difficult to achieve in rapid, simple (level 1) exercises.
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6
These abbreviations are for convenience and are used in following graphs and tables: they are not
always formally used in the method itself.
NNR MEE Scotland Performance and management Scottish Natural Heritage (Stolton
effectiveness of national nature reserves, et al. 2009)
Scotland
NNR Wales Countryside management system Countryside Council for Wales
(National Nature Reserves, Wales) (pers. comm.)
Italian Quality Parks Quality Park Project Italy ENEA, Italian National Agency for
New Technologies, Energy and
the Environment
(Naviglio and Talamo 2009)
MEVAP Italy Monitoring and Evaluation of Protected C.U.E.I.M., University Consortium
Areas, Italy for Industrial and Managerial
Economics on behalf of the Italian
Ministry of the Environment and
Territory
(Soffietti 2008)
Natuurmonumenten Test Natuurmonumenten Quality Test Vereniging Natuurmonumenten
(Natuurmonumenten 2007)
Situation of National Park Spanish National Parks (OAPN 2007)
Network
Institució Catalana d’Història
Evaluation of the system of protected
Catalonia MEE Natural (Mallarach and Varga
areas of Catalonia, Spain
2004)
Tenerife MEE Management Effectiveness Evaluation The Island Government of
Tenerife Tererife, Canary Islands(García
2008)
EUROPARC Spain EUROPARC Spain DB (EUROPARC España 2008)
Database
INDES-PAR (Asturias) INDES-PAR Asturias University of Oviedo (Northern
Spain)(INDUROT 2009)
Evaluation of Swedish MEE Swedish Counties Naturvårdsverket (Swedish
County Administrative Environmental Protection Agency)
Boards (Naturvårdsverket 2005)
SkötselDOS (Protection SkötselDOS Swedish Environmental Protection
GIS System) Agency (SEPA)
(pers. comm.)
Africa
Management effectiveness assessments in Africa have included a number of innovative
projects aimed at improving management, and have resulted in some informative studies
published in recent years. In addition there have been many Tracking Tool assessments,
some associated with World Bank, WWF and/or GEF funded projects and others as country
initiatives. Several in-depth studies of World Heritage Areas have also been conducted, and
an assessment of marine areas is also available. Studies recorded in the Global Study include
the following (note that most Tracking Tool assessments do not include an overall report –
raw data has been used):
• Extensive and comprehensive studies conducted by IUCN West Africa Protected Area
Program (PAPACO) using RAPPAM, EOH and the Tracking Tool. Reports are
available on some individual protected areas and on the West African countries of Cote
d’Ivoire (UICN/BRAO 2008) Togo (UICN/PACO 2008e), Chad (UICN/PACO 2008f),
Mauritania (UICN/PACO 2008d), Mali (UICN/PACO 2008c) Guinea (UICN/PACO
2008a) , Guinea-Bissau (UICN/PACO 2008b), as well as regional evaluations of
RAMSAR sites (UICN/PACO 2009)and World Heritage Sites. A draft report has also
been prepared following a RAPPAM study in Morocco (Haut Commissariat aux Eaux et
Forêts et à la Lutte contre la Désertification (HCEFLCD) 2008).
• Older RAPPAM studies have been conducted in South Africa (Goodman 2003), Malawi
(WWF 2006) Cameroon (MINEF Department of Wildlife and Protected Areas and
WWF Cameroon Programme Office 2002), Ghana (Republic of Ghana Ministry of
Lands Forestry and Mines (Wildlife Division of The Forestry Commission) 2001),
Mozambique (Republic of Mozambique 2006)
• African rainforest study (Struhsaker et al. 2005)
• Central African Republic (Blom et al. 2004)
• Paper on the threat reduction assessment methodology in Uganda (Mugisha and
Jacobson 2004)
• Tracking Tool applications in Namibia and Zambia (Smith 2004a; Smith 2004b; Smith
2004c)
• In Egypt, a RAPPM system-wide study (Fouda et al. 2006) was complemented by site-
level assessments (Paleczny 2007)and in-depth evaluations of World Heritage Areas
(Paleczny et al. 2007)
• Assessment of management effectiveness in selected marine PA in the Western Indian
Ocean (IUCN et al. 2004; Wells 2006).
• The forests of the Congo Basin – a preliminary assessment (Congo Basin Forest
Partnership 2005).
A total of just over 960 assessments (846 ‘most recent’) from Africa have been recorded on
the Global Studies database, as shown in
Figure 16. Of these, data was analysed for 644 most recent assessments. The overall mean is
0.49, as shown in Figure 17. This is below the world mean and is lower than any other
region. This may be partly explained by the inclusion of a large dataset of Tracking Tools
from new protected areas which have not yet established management structures and
practices. Some 22% of the assessments scored in the bottom third of the scale (clearly
unacceptable), while only 17% scored in the top third (sound management).
Figure 16: PAME assessments by country in Africa (UN region) recorded on the Global Studies
database.
.
Figure 17: Overall average scores for African assessments
Management effectiveness assessments in the Asian region used in this study include:
• Rappam studies in India (Department of Forests and Wildlife Sikkim and WWF
India 2003; WWF India 2006) , Cambodia (Lacerda et al. 2004), Nepal (Nepali
2006), Bhutan (Tshering 2003) , Laos (Anonymous no date), Malaysia (Ministry of
Natural Resources and the Environment 2006), Indonesia (Anonymous 2004) ,
Georgia (no report published), Turkey (Steindlegger and Kalem 2005), Vietnam and
Mongolia (Nemekhjargal and Belokurov 2005) and the Yangzte Ecoregion of China
(Diqiang et al. 2003) .
• Studies of tiger reserves in India (Project Tiger Directorate Ministry of Environment
& Forests 2006)
• Application of a modified Tracking Tool in nature reserves in China (Department of
Nature Conservation - State Forestry Administration and Research Center for Eco-
environmental Sciences - the Chinese Academy of Sciences 2006)
• Enhancing our Heritage studies in Nepal and India (Wildlife Institute of India 2007a;
Wildlife Institute of India 2007b; Wildlife Institute of India 2007c)
• A system-wide evaluation of protected areas in Korea (Korean National Parks
Service and IUCN 2009)
• Indian program of rolling national, state and site level management effectiveness
assessments (V. Mathur, pers. comm.; no report published)
Above: Village children listen in while conservation programs are evaluated. Kerinci National Park,
Indonesia`
The overall mean score for Asia is consistent with the world average at 0.53 (see Figure 19).
It is possible that culturally, the process of self-assessment in this region may lead to slightly
higher scores, but many of the protected areas evaluated in this region are well-established
and have very high remaining values in spite of severe threats to their integrity.
The European Study found that the overwhelming majority of countries in Europe have assessed
at least some of their protected areas within the last decade: about one third can be expected to
achieve the CBD PoWPA target for management effectiveness by area (assessing PAME of 30%
of terrestrial sites by 2010). Our database recorded a total of 1786 single-site assessments, of
which 240 are repeat assessments. In addition, a number of countries had conducted system-
level assessments or evaluated habitat types. We recorded very few assessments for marine
protected areas. Only a handful of countries have institutionalized management effectiveness
evaluation by scheduling regular re-assessments, and making sure results are firmly integrated
into governance and management processes.
Forty different assessment methodologies have been applied in Europe; 31 of which are not used
elsewhere. Evaluations have been led by a variety of entities: overseeing agencies, NGOs/policy
advisors, protected area management bodies, certifiers, donors or research teams. The purpose
of evaluation and the way results feed back into management are closely related to the type of
leading agency. Intensity and frequency of assessments vary widely, as do the type of generated
data and access to it.
Most frequently used indicators in Europe are those looking at management plans, park gazettal
and tenure security, involvement of communities and stakeholders, communication programs and
adequacy of funding and staffing. In comparison with international methodologies, European
evaluators tend to look more closely at the ecological significance of sites, visitor management
issues and specific activities in the field of resource use and management; comparatively less
attention is paid to the general capacity of individual sites to cope with threats (adequacy of
enforcement, human resource policies, training and infrastructure).
(Nolte et al. 2010), p. ii adjusted for regional differences
Studies in Europe have included significant assessments of protected area systems and
protected areas in Catalonia, Spain (Mallarach 2006; Mallarach and Varga 2004); across
Finland, combining RAPPAM and a new system assessment tool (Gilligan et al. 2005;
Heinonen 2006); and in Lithuania (Ahokumpu et al. no date).
In Central and Eastern European countries, national-level assessments are usually based on
the RAPPAM methodology, often as a component of WWF’s regional programmes (Dinaric
Arc and Danube-Carpathian regions). RAPPAM reports have also been prepared for Russia
(Tyrlyshkin et al. 2003), which was an early trial site and used a slightly different version of
the tool, and more recently for many eastern European countries including the Czech
Republic (Ervin 2004b), Bulgaria (WWF 2004), Slovakia (Ervin 2004a), Romania (Stanciu
and Steindlegger 2006), Serbia (Piscevic and Orlovic-Lovren 2009), Albania (Diku et al.
2008), Croatia (Porej and Rajković 2009) , Montenegro (Stanišić 20009), Slovenia (Kus
Veenvliet and A. Sovinc 2009) and Georgia (Ravovska and Belokurov 2008) .
Tracking Tools have been applied especially in Eastern Europe where they are linked to GEF
and World Bank project funding.
● Reports for nature reserve systems in Scotland (Land Use Consultants 2006) and
national parks in England (English National Park Authorities Association 2009; Lloyd et
al. 2005; Solace Enterprises 2006) and other individual park reports.
● System and site-level studies were conducted by NGOs in Greece (ARCHELON et al.
2005).
● A summary report has been produced from a detailed assessment of five marine
protected areas in Italy (Franzosini 2009) and a report looking at marine protected area
effectiveness in the UK (Gubbay 2005) is also available.
Academic studies in Europe include a discussion about management effectiveness in marine
protected areas in Greece (Togridou et al. 2006), England (Jackson and Gaston 2008) and
more generally about Europe (Gambino et al. 2008; Gaston et al. 2008). A study of three
protected areas in Austria and Germany using the modified Site Consolidation Scorecard
methodology (Pfleger 2007b; Pfleger et al. 2009).
Europe also features several regional certification systems – the European Diploma for
Protected Areas, PAN Parks, the European Charter for Sustainable Tourism and
EUROPARC’s Transboundary Parks Programme – which involve regular re-assessments of
designated sites. Two global research surveys on biosphere reserve management (GoBi
Survey and Stockholm Survey) add to the picture. Finally, an important dataset has been
generated by Birdlife International in the course of its monitoring of Important Bird Areas
(IBAs).
A study comparing methodologies for marine protected area assessment was carried out in
the UK (Gubbay 2005). A trial adapting the Parks in Peril Site Consolidation Scorecard for
use in Europe was conducted in two protected areas in Austria and Germany (Pfleger 2007c).
All 27 EU member states adhere to Natura 2000 legislation and have committed to maintain
or achieve “favourable conservation status” for all habitats and species of Community
interest. In order to track progress towards this target, Article 17 of the Habitats Directive
stipulates that member states have to continually assess, monitor and report conservation
status of critical habitats and species (European Council 1992). While at present not all
Natura 2000 sites are recognised as protected areas, the evaluation of these sites overlaps
with protected area assessments and it is hoped they will be better integrated in the future.
The number of known ‘most recent’ studies in the European region are shown in
Figure 20.
The distribution of scores from the European data is shown in Figure 21. The mean average
score for European assessments is well over the world average, at 0.57. Only 8% of the 794
protected areas assessed scored in the bottom third (clearly unacceptable), while 29% scored
in the top third (sound management). An analysis of strengths and weaknesses of
management and of the major issues can be found in the European Study report.
Above: Self-assessment in Berchtesgaden National Park using the Site Consolidation Scorecard
Photo: B. Pfleger)
More detailed study of management effectiveness in the region was produced in 2007
(Leverington et al. 2007a; Leverington et al. 2007b; Pavese et al. 2007).
Initiatives in the region are continuing, including further work currently being conducted in
Brazil and a system-wide assessment in Colombia.
The known ‘most recent’ assessments in LAC are shown in Figure 22.
The overall average score for the 853 most recent assessments analysed in the region is 0.51,
which is slightly below the worldwide average (Figure 23). This region has more repeat
studies that any other, and as discussed earlier, there has been dramatic improvement over
time in those areas assessed more than once, especially where intensive management
improvement programs have also been undertaken. In particular, many of the very low
scores were lifted. There are still 13% of the ‘most recent’ assessments score in the bottom
third (rated clearly unacceptable) while only 16% are in the ‘sound’ range.
Figure 24: PAME assessments by country in Oceania (UN region) recorded on the Global
Studies database (note data has been analysed for only some of these)
Data for analysis was available only from the RAPPAM study, a few Tracking Tools and
results of assessments in three Australian states. The overall average score for Oceania is
0.56, above the world average. Though the Australian protected areas scored comparatively
well, the overall effectiveness of that system was also constrained by factors including the
large number of small protected areas where there is limited management presence.
In Canada, Parks Canada has also developed detailed State of Parks assessments for a
number of its reserves, with a focus on ecological and cultural integrity – for example see the
following (David Henry et al. 2008; K. Alexander et al. 2007; Parks Canada 2007; Parks
Canada 2008a; Parks Canada 2008b; Parks Canada 2008c; Parks Canada 2008d; Parks
Canada 2008e; Parks Canada 2008f).
In addition, assessments have been conducted of biosphere reserves and of Important Bird
Areas.
All protected area management assessments should in some way improve protected area
management, either directly through on-the-ground adaptive management; or less directly
through improvement of national or international conservation approaches and funding.
Evaluations which do not appear to have any useful outcomes can be worse than useless, as
those involved – especially at protected area level – are often less willing to be involved in
other evaluations in the future.
‘Checklist’ of criteria
It is clear that using the methodology can achieve one or more of the four types of purposes
outlined in Section 1.1.
a) It is a useful tool for improving management/ for adaptive management or to aid
understanding;
b) It assists in effective resource allocation and prioritisation;
c) It promotes accountability and transparency; and/or
d) It helps involve the community, build constituency and promote protected area values.
It helps understand whether protected area management is achieving its goals or making
progress.
The questions asked are relevant to the protected area and the management needs, or can
be adapted or others added so they are relevant.
It will allow useful comparisons across time to show progress and if desired will also allow
comparison or priority setting across protected areas.
Even simple analyses will show patterns and trends and allow for explanations and
7
conclusions about protected area management and how it might be improved.
A consistent and accepted approach such as the IUCN-WCPA Framework provides a solid
theoretical and practical basis for assessment, and enhances the capacity to harmonise
information across different systems. Evaluation exercises that assess each of the six
elements in the Framework and the links between them build up a relatively comprehensive
picture of management effectiveness and have greater ‘explanatory power’.
Many systems use a hierarchical structure which contains different layers of indicators or
questions assessing a particular element or dimension. Layers of questions should proceed
logically and link from very general level (e.g. biodiversity) to more specific and measurable
level (e.g. the population of one animal species recorded at one time in one place; the
opinions of stakeholders about a particular issue.
7
Protected area management is very complex and clear explanations are difficult, but evaluations
should enable at least ‘reasonable estimations of the likelihood that particular activities have
contributed in concrete ways to observed effects’.
‘Checklist’ of criteria
Indicators are relevant and appropriate (see principle 1) or more indicators can be added
within the structure. There is clear guidance on how to measure and score the indicators.
Indicators have some explanatory power, or able to link with other indicators to explain
causes and effects.
Characteristics of good indicators defined by (Margoluis and Salafsky 1998) are:
• Measurable: able to be recorded and analysed in qualitative or quantitative terms;
• Precise: defined in the same way by all people;
• Consistent: not changing over time so that it always measures the same thing; and
• Sensitive: Changing proportionately in response to actual changes in the condition or
item being measured
Questions should be carefully worded and trialed. They should be kept simple and clear,
asking about only one aspect of management. Confusing two-or-three part questions
should be avoided as they result in unreliable analysis.
The design supports analysis by providing a consistent and logical scoring and rating
system (where scoring and rating is used) and clear directions for weightings and
comparisons.
Results of evaluations can have far-reaching implications and must be genuine and able to
withstand careful examination.
8
This depends on the purpose – for a general/ overall evaluation, strive for balance, but some
assessments might need a more specific emphasis
9
As above
‘Checklist’ of criteria
The methodology is structured and explained to be likely to yield accurate results.
Techniques for implementing the methodology are clearly spelt out e.g. with guidance on
how questionnaires should be filled out; how workshops should be conducted; or how the
population status of a species should be estimated.
Well-recognised and accepted – or other new but defensible – data collection techniques
are used, so the assessment will be able to withstand scrutiny.
It will be replicable – that is, easy to apply consistently across different protected areas or
regions, and over time, so questions are answered in the same way and patterns are real.
Results of monitoring can be incorporated into meaningful measures
More detailed and accurate information can be added at a later iteration when available, and
the methodology will help to develop a relevant monitoring program.
Cultural issues are considered, so that people are likely to provide accurate answers without
10
fear, bias or intimidation .
Some ‘triangulation’, cross-checking or quality control is built in or can be added. The results
will be honest, credible and non-corrupt.
Opinions of a cross-section of people (stakeholders, landowners, protected area staff from
different levels, technical experts) should be included wherever possible.
The evaluation can be conducted quickly enough to provide up-to-date information.
A record of data sources and levels of certainty is kept.
Qualitative evaluation systems are based on the exercise of expert judgement to assess
management performance. Considerable attention needs to be paid to promoting consistency
in assessment across sites and evaluators. Consistency can be enhanced by:
• care in choice of language in the assessment instrument to minimise potential differences
in interpretation;
• provision of detailed guidance and examples in supporting documentation;
• staff training in preparation for the assessment;
• requiring supporting information such as justification for the assessment rating given and
sources of information used in making the assessment;
• trialing and checking across assessments to identify clear inconsistencies or application
of different standards of assessment; and
• use of a process of correction where clear inconsistencies are evident (while ensuring
that bias is not introduced in this process).
10
This applies to protected area staff as well as to stakeholders
To link evaluations with other aspects of management, it is critical that the key values,
management goals and objectives for the protected area have been spelt out clearly.
Standards against which inputs, processes and outputs can be judged are also important. As
monitoring programs develop and mature, monitoring, reporting and evaluation should
become one integrated efficient process.
‘Checklist’ of criteria
It is possible to make a commitment to repeated evaluations using this methodology.
It will meet and be part of the core business cycle and reporting requirements of the
agency.
It ties in with protected area planning, monitoring, research and annual work programs.
It relates to expressed values, goals and objectives of the protected area or agency and
measures the extent to which these are met and policies implemented.
Senior executives or politicians will be likely to accept the results, act on recommendations
and disseminate the reports.
Gaining approval, trust and cooperation of stakeholders, especially the managers of the
protected areas to be evaluated, is critical and must be ensured throughout the assessment. A
wide survey of protected area assessments has found that broad participation improves
accuracy, completeness, acceptance and usefulness of evaluation results (Paleczny and
Russell 2005). Assessment systems should be established with a non-threatening stance to
overcome mutual suspicion. Evaluation findings, wherever possible, should be positive,
identifying challenges rather than apportioning blame. If the evaluation is perceived to be
likely to ‘punish’ participants or to reduce their resources, they are unlikely to be helpful to
the process.
However, as discussed earlier, there are occasions when negative repercussions may be
inevitable and these cases need careful handling.
Checklist’ of criteria
Different viewpoints are actively sought, including perspectives of community and field
staff.
The methodology encourages or allows good cooperation and communication between all
the evaluation partners.
An adequate but serviceable level of participation by staff and community is included in
both the design and implementation.
The implementation of this methodology will contribute to a higher level of trust, better
relationships and cooperation between protected area staff at all levels and community.
Findings and recommendations of evaluation need to feed back into management systems to
influence future plans, resource allocations and management actions.
Checklist’ of criteria
The methodology includes discussion of how results should be communicated and used.
Reports will be clear and specific enough to improve conservation practices realistic, addressing
priority topics and feasible solutions.
Benefits and results from the evaluation will be clearly visible in the short term.
Feedback to evaluation participants can be given quickly.
Results will influence future plans and actions in protected area management.
The terminology and the approach for defining these fields varies from method to
method. Often the fields include some combination of the following: administration,
social, political, management of natural and cultural resources, community participation,
and legal aspects. Some more recent methodologies specifically use the elements of the
IUCN-WCPA Framework. In some cases, a combination of ‘fields’ and WCPA
‘elements’ is used.
2. The next, more specific level of features that are important to good management are
listed and standards and expectations set. Common factors identified at this level
include: good systems of financial administration, adequate staffing and funding,
communication with stakeholders, environmental education programs, management
planning, law enforcement and boundary marking.
3. Specific indicators for each of these aspects are then chosen and described. (Different
methods vary as to the number of levels and as to which factors are considered first,
second or third level indicators).
4. A scoring system is defined. While some methodologies, notably RAPPAM and the
Tracking Tool, use a four-point scale, most of the methodologies in Latin America use a
five-point scale: many of them have based this approach on the recommendation of de
Faria (1993) and subsequent publications and adaptations of this scheme.
Most systems either carefully define what each of these levels are (i.e. define precise
criteria for each score level), or set guidelines for the individual park or system to define
these standards. In some cases, quite detailed instructions or sub-indicators are included
to ensure that an objective and quantitative method is used, especially for calculating the
‘optimum’ staff, finances, or equipment needed.
5. Analyses are then recommended. In most cases, scores for individual indicators are
combined or ‘rolled up’ into the level or levels above, to provide overall scores for the
aspects and the fields. The indicators at each level may be weighted to reflect relative
importance and contribution to the field.