Does the effectiveness of forest protected areas differ conditionally on their type of governance?
© Macura et al.; licensee BioMed Central Ltd. 2013
Received: 19 October 2012
Accepted: 28 June 2013
Published: 9 July 2013
In context of protected areas (PAs), governance can be defined as a set of processes, procedures, resources, institutions and actors that determine how decisions are made and implemented. Current governance modes of forest PAs are multilevel and complex, with a variety of actors, different levels of power sharing, various formal and informal rules and vested interests. However, there is no systematic information on how different local governance modes and day-to-day decision-making processes within forest PAs may cause a change in PA effectiveness in terms of producing desired conservation outcomes. In this review we aim to assess relative effectiveness of forest PAs worldwide with respect to different governance modes and linking them to the multiple outcomes in order to discern the effective governance strategies for biodiversity and forest conservation. We will evaluate effectiveness of forest protected areas by multiple outcome measures: 1) attitudes of local stakeholders towards forest protected area governance, 2) conservation-related behaviour of local stakeholders, 3) ecological parameters such as forest cover, biodiversity level, density, overall forest condition and/or health as well as 4) existence of local spillover effects defined as social, institutional and ecological effects in surrounding social-ecological systems.
To gather empirical evidence on the effectiveness and outcomes of different governance arrangements of forest protected areas, we will search electronic databases, organizational websites, use web search engines and perform a bibliographic search. Articles will be filtered by title, abstract and full text. To facilitate understanding of predictors and conditions for effective PAs, both qualitative and quantitative data from the relevant studies will be extracted and integrated. Multivariate statistical analyses will be performed to give insights into association between different governance modes, their characteristics and PA effectiveness. Finally, the review will report on data gaps and potential for future empirical research.
Forests contain roughly 90% of terrestrial biodiversity and they provide a wide variety of ecosystem services, contributing to the livelihoods of more than 1 billion people . Yet, forest degradation and deforestation are advancing at alarming rate, especially in the tropics  and are putting at risk a high diversity of species and habitats sustained by forest ecosystems .
Establishment of in situ conservation strategies, such as protected areas (PAs), has been the major response to a global demand for conservation of biodiversity and ecosystem services  and more specifically, to the reduction of tropical deforestation . Accordingly, there has been a year-on-year increase in the number of PAs and they are today covering more than 12% of the total world’s land surface  and 13.5% of the world’s forests .
Nevertheless, the effectiveness of biodiversity and forest conservation measuresa is under question as the rate of biodiversity loss is not decelerating . There is evidence that PAs are decreasing the deforestation rate [5, 8], estimated through measures of land clearing prevention  and decreasing the incidence of forest fires . However, some authors argue that many of the claimed positive conservation effects might be a function of a PA location i.e. low accessibility of protected land, but not the effect of actual protection measures [5, 11]. Additionally, increasing deforestation and pressures on the resources in social-ecological systems that surround PAs, might diminish conservation efforts inside PAs, through effects of ecological isolation and landscape fragmentation [8, 12].
However, there is no systematic information on how different local governance modes and day-to-day decision-making processes within forest PAs may cause a change in PA effectiveness in terms of producing desired conservation outcomes. In context of PAs, governance can be defined as “a set of processes, procedures, resources, institutions and actors that determine how decisions are made and implemented” (:105). It is about power, relationships, accountability and responsibility exercised by organisations and actors [14, 15]. Conservation governance arrangements are becoming multilevel and complex . Governments are not the only source of environmental decision-making authority and there is a shift from administrative to collaborative state . Power to make and enforce decisions is distributed among diverse social actors , including indigenous, mobile and local communities, local governments, NGOs and the private sector . The change of the scale of governance has been occurring (mostly in the developing countries), and the authority and responsibility to make and enforce decisions are shifted from nation-state to lower-level authorities (decentralization) or to institutions outside the state (devolution) [20, 21].
Government PAs are governed by the centralised governmental agency (ministry or park agency reporting directly to the government) that enforces decisions, has authority, responsibility and accountability for managing PAs . Government agencies are often considered as legitimate actors that can deliver public benefits and are accountable directly to the public . Nevertheless, some authors argue that this ‘old’  hierarchical type of governance is not able to handle size and complexity of PAs . Moreover, state PAs with top-down and exclusionary conservation approach, frequently present in developing world, are being increasingly reported to produce unequal distribution of rights, power and benefits and create social conflicts .
Co-managed or multi-stakeholder PAs are governance modes where a governmental agency and other stakeholders, such as local/mobile/indigenous communities that depend on the area culturally or for their livelihoods, or user associations, private entrepreneurs and landowners share power and responsibility, make and enforce decisions. Formal decision-making authority might be vested in one agency (often governmental body), but that agency is required by law to collaborate with other stakeholders . This collaborative partnership may be materialised through many forms: from consultation to decision-making carried out by consensus 15]. Co-management is frequently labeled as managing relationships, not resources [26, 27]. However, it is argued that the partnerships in co-management arrangements can be problematic as nature of power sharing makes less powerful partners, such as indigenous people, disadvantaged .
Private PAs where private landowners, individuals, NGOs and other not-for profit and for-profit organisations make and enforce decisions, have control and/or ownership over resources. PAs can be governed by private and non-governmental actors, that might be perceived more efficient than bureaucratic structure of governmental agencies, also providing technical and financial support, bringing new ideas and capacity building . However, the legitimacy and accountability of private parties is always limited and questionable, especially due to the vested interests of funding agencies and reluctance of governments to give authority or legal recognition to private parties [22, 25]. Moreover, since designation of a private PA is a voluntary act, providing long-term security for conservation may pose a challenge .
Community conserved areasb are governed and voluntarily conserved by indigenous groups, local and mobile communities through customary laws. Authority and responsibility is vested within communities through a variety of ethnic governance or locally arranged rules and organisation that can be very complex, with diverse management and ownership rights. Community conserved areas depend on the government recognition and respect of community/indigenous rights over the territory . However, community based conservation are criticised to be vulnerable to external drivers and not being able to deal with larger scale biodiversity processes (e.g. management of migratory species) .
Fifth, hybrid governance type may be added to this classification as in the reality borders between governance modes are blurred  and this is especially because of complex land and resource ownership rights, diversity in management authority and funding sources .
Nevertheless, the importance of the local political processes within PAs is frequently ignored in the conservation effectiveness literature. Therefore, to improve PAs governance and their conservation outcomes, there is need for more clear information on how differences in local governance modes and decision-making processes may cause variability in the outcomes and thus, in the effectiveness of forest PAs.
Four previous Systematic Reviews have addressed the various aspects of community-based conservation, synthesising and assessing primary literature on: 1) development as a conservation tool ; 2) the effect of local cultural context  and 3) broader social - political context on community based management , and 4) community forest management as a mechanism for supplying global environmental benefits and improving local welfare . There are two more Systematic Reviews that have a wider conservation focus on terrestrial PAs and their 1) effectiveness in maintaining biodiversity and reducing habitat loss  and 2) securing human-well being (in preparation) . This Systematic review is complementary to previous ones, looking from the governance perspective on effectiveness of forest protected areas worldwide; and determining the links between governance processes and multiple conservation outcomes.
Due to high complexity and variety of conservation practices, we will focus our analysis on conservation of forest resources only and on governance of forest PAs. To be defined as a PA, conservation governance arrangements have to: 1) have geographical limits or boundaries; 2) predominantly aim to achieve conservation benefits, but not excluding other related benefits (e.g. social benefits); 3) be designated and managed by legal gazetted means or by non-gazetted, but officially recognized NGO policies or customary laws; 4) have a body of governing rules; and 5) have a clearly identified organization or individual with a governance authority [25, 38]. We define forest PAs as “a subset of all protected areas that includes a substantial amount of forest as defined for the purposes of Forest Protected Areas. This may be the whole or a part of a protected area” (:19). This IUCN’s definition excludes commercial plantations and forest managed for industrial purposes within the less strictly protected categories .
Objectives of the review
We aim to assess relative effectiveness of different governance regimes within forest PAs by contrasting different governance characteristics and processes on the basis of multiple measures of successc.
There are recently quite a few studies that have estimated effectiveness of PAs (e.g. [40–42]), but they have focused solely on the tropics and only few of them assessed PAs effectiveness integrating multiple performance measures [43–45]. Apart from biodiversity conservation, PAs have various multifaceted and context-dependent objectives , in both, ecological and the social-economic domain. Examining PAs effectiveness in terms of biodiversity conservation only, might lead to restricted conclusions as it disregards local conflicts and resistance expressed through negative attitudes towards conservation policies and practices and anti-conservation behaviour of local stakeholders; it does not take into account institutional, economical or political changes in surrounding social-ecological systems influenced by PAs (e.g. employment opportunities or migration level) and it may reinforce a fortress conservation mentality [43–50].
Outcome measures within forest PA boundaries:
Attitudinal success measured through (difference/change in) attitudes of local stakeholdersd towards focal PA, authority and/or management practices
Behavioural success measured through (difference/change in) level of conservation-oriented behaviour necessary to decrease the threats to natural resources (e.g. decrease in level of illegal activities, poaching, etc.)
Ecological success measured through (difference/ change in) deforestation rate, biodiversity level, maintenance of forest cover and forest density, condition, health.
Outcome measures outside of forest PAs boundaries:
Spillover effects in surrounding social-ecological systems i.e. social, institutional and ecological changes on the local level including : displacement of deforestation and agricultural pressures, preventive clearing at the nearby private land to prevent protective regulation, establishment of private reserves, better law enforcement at the neighbouring land, reforestation initiatives, new employment opportunities and similar. The spillover effects will be included into analysis only if there are reported baseline data against which these effects might be defined and measured . Because of practical reasons, these changes will be recorded only at the local level that might be at a lowest administrative unit where a PA is located (e.g. municipality).
This review aims at answering following primary question:
Does the effectiveness of forest protected areas differ conditionally on their type of governance?
Elements of the systematic review question
Interest, phenomena of
Forest protected areas
1. Local Community
1. Governmental PAs
1. With different governance regimes
1) Attitudinal success measured through (difference/change in) attitudes of local stakeholders towards focal PA, authority and/or management practices
2. PA Authority/Management staff
2. Co-managed PAs
3. Private PAs
2) Behavioural success measured through (difference/change in) level of conservation-oriented behaviour necessary to decrease the threats to natural resources
4. Community conserved areas
5. Hybrid forms
3) Ecological success measured through (difference/change in) deforestation rate, biodiversity level, maintenance of forest cover and forest density, condition, health, etc
4) Spillover effects: social, institutional and ecological changes in surrounding social-ecological systems
Secondary question is:
Which characteristics of decision-making process influence the outcomes of forest protected areas?
Scale of decision-making:
Individual versus multi-actor decision-making:
2.1) Diversification of stakeholders’ categories (one versus multi-actor);
Collaboration among stakeholders in decision-making:
3.1) Nature of collaboration (formal, informal, none);
3.1) Level of collaboration (horizontal/internal, vertical/external, multilevel);
We assume that governance processes i.e. how decisions are made and implemented, influence level of conservation effectiveness, its ecological and social outcomes. Using theory of change approach, we hypothesise that: (H1) making decisions at lowest level possible, (H2) collective or multi-actor decision making, (H3) high level of proactive participation in day-to-day decision-making and (H4) multilevel collaboration among stakeholders can lead to more positive attitudinal, behavioural and ecological success of PAs and decrease negative spillover effects around them.
We will search for all available evidence relevant to the questions, whether published or unpublished, including both peer reviewed papers and relevant grey literature.
The general search will be conducted using the following online databases:
ISI Web of knowledge
International Development Research Center (IDRC) digital library
Public library of science
Directory of Open Access Journals
Social Sciences research network
Index to Theses Online
Web search engines
http://www.scirus.com (web sources only)
Only the first 50 hits of each search will be screened.
Organisational website search
Specific searches will be conducted using the following websites of organisations specialised in the field of (forest) PA management and governance. Where possible, only publication sections of the websites will be used for search. List of websites was compiled from previous Systematic Reviews on effectiveness of PAs and community-based conservation [32–37] and completed by including websites of organisations well-known in the field of natural resource governance, forestry and PAs.
Reference lists of relevant review studies will be searched for relevant primary articles.
Search string for PA governance and management regimes
“NGO*” OR (non$governmental and organi$ation) OR “private nature reserve*” OR “privat*” OR “governme*” OR “community conserved area*” OR “indigenous” or (“comanag*” or “co-manag*”) OR “collaborative” OR “decentrali*” OR “devolut*” OR “joint management” OR (delegat* AND authorit*) OR (“integrated and conservation and development”) or “ICDP*” or “governance” or “self-governance” or “institution*” or “rule*” or “norm*” or “polit*” or “polic*” or “paper park*” OR “participat*” or “accountab*” or “legitima*” or ”compliance” or “enforcement*” or “coercion*” or “trust*” or “conflict*” or “exclusion*” or “access” or “local elite*” or “elite capture” or “revenue$sharing”
“protected area*” OR “nature reserve*” OR park* OR “monument*” OR “wilderness area*” OR “world heritage site*” or “sanctuar*” or “refug*” or “biosphere reserve*” or “protected landscape” or “management area*” or “sacred forest*” or “sacred grove*”
Search string for social outcomes
Search string for ecological outcomes
“conserv*” or “deforest*” or “degrad*” or “biodiversity” or desert* or “threaten” or “leakage*” or (“spillover*” or “spill-over*”) or “reforest*” or “afforest*” or (“re-growth” or “regrowth”) Or “forest clearance” or “land use change” or “land cover change” or “loss*”
We will combine search strings as follows: 1 AND (2 OR 3).
Search strings developed above are the result of numerous iterations performed in ISI Web of Knowledge database. Full record of iterations has been kept and will be further developed while advancing the search. Citations will be imported into an Endnote library and online systematic review software EPPI-reviewer 4.0 . Duplicates will be deleted.
Study inclusion criteria
Relevant documents will be selected by application of inclusion criteria. Inclusion criteria will be first applied to the document title, after to the abstract and in the final phase, to the whole document.
To filter studies based on abstracts, two reviewers will apply inclusion criteria. Repeatability of the application of inclusion criteria will be inspected using Kappa statistics on a sample of abstracts to assess the level of agreement between two reviewers. In case of kappa < 0.6, inclusion criteria will be discussed, re-interpreted and adjusted if necessary. After this procedure is done, only one reviewer will apply inclusion criteria to the rest of the studies.
Relevant subject populations: Biodiversity indicators within and human populations living in and/or around forest PAs.
Relevant interventions/phenomena of interest: Forest PAs under government, co-managed or joint, private and community modes of governance worldwide.
Relevant comparators: comparisons among different interventions (governance regimes). They will follow the appropriate study design explained below. Studies without relative comparators may be included into analysis as well. Comparators reported within the qualitative study can be created using perceptions or reconstructing the memories of respondents. If present in the study, constructed comparators where external data sets or models are applied to develop scenarios for comparison will be also included into our analysis.
Changes or differences in attitudes of local stakeholders towards focal PA governance, authority and/or management practices;
Changes or differences in level of conservation-oriented behaviour necessary to decrease the threats to natural resources;
Changes or difference in deforestation rate, biodiversity level within a forest ecosystem, maintenance of forest cover and forest density, condition, health (including fires);
Social, institutional and ecological changes on the local level that may include for example leakage (i.e. increased pressures on resources shifted outside a focal forest PA) or policy side effects (i.e. positive or negative impacts of a policy instrument on non-focal sectors and activities).
To be included into our analysis, a study has to report on at least two types of outcomes.
Relevant types of study design: Empirical studies using qualitative, quantitative or mixed methods that can be designed as control-intervention site comparisons/case control study, cohort study, case series, cross sectional study, interrupted time series, Before-After/Control-Intervention (BACI design), randomized control trials/control trials.
In case of multiple evidence sources for one PA, data will be combined but the most recent evidence will be prioritised.
Language: Studies published in English.
Following studies will be excluded:
Studies with a focus on PAs that do not meet the previously mentioned definition of Forest PAs . This definition is provided in the IUCN Guidelines on use of PA management categories and we will follow and consult it for further clarifications and detailed interpretation.
Studies with a focus on conservation of a single or a group of species within forest PAs.
Potential reasons for heterogeneity and effect modifiers
Set of effect modifiers (predictor variables) that can cause variation in the outcomes are expected to be as follows:
Governance and decision-making characteristics: scale of decision-making; individual versus multi-actor decision-making; nature of stakeholders’ participation; level and nature of collaboration among stakeholders;
Level of resource access and use by the local actors;
Presence of a local leader;
Source of PA funding;
National context: corruption and illegality, development level, income inequality;
Human population size in and around PAs;
Type of ecosystem and climatic conditions;
Proximity of the forest PA to the urban areas roads, settlements;
Time since PA establishment;
More effect modifiers may be recorded and extracted from the primary studies.
Study quality assessment
Quantitative studies: Quantitative studies will assessed based on the score assigned to each of following criteria: 1) appropriateness of control cases and presence of valid counterfactual, 2) controlled for and/or minimized confounding factors, 3) study design category (from highest to lowest score): randomized control trial, non-randomized control trial, BACI (before/after/control/impact) design, interrupted time series study, case control study, cohort study, case series, cross sectional study, 4) methodology: clarity and completeness of reporting . We expect that the (non)randomized control trial studies and full BACI design might be less represented in the PA literature , as it is difficult to meet these study design requirements in conservation policy assessment due to various reasons (non-random allocation of conservation interventions across the landscape, counterfactual thinking is not widespread in conservation assessment exercises, evaluation is usually not a built-in component of a conservation project design, etc. (see :483)).
Qualitative studies: Qualitative studies will be assessed using Harden’s methodology  applied in Rees et al.  and Pullin et al. . This assessment tool uses eight study validity criteria focusing on 1) study design and methods (rigour of sampling, data collection and analysis); 2) findings (how well presented data support findings, quality of findings); 3) use of methods to assess the respondents’ perspectives and experiences. A score range will be assigned to each of these criteria. A Qualitative Appraisal Tool  may be combined for additional assessment details and to provide guidance for a more structured quality appraisal exercise. This tool is a checklist composed of the ten questions connected to study rigour, credibility and relevance of findings.
Depending on the variability of study quality, decision for the study inclusion may be based on the overall summary score assigned to each study.
Data will be extracted from included studies and recorded in a spreadsheet with pre-determined coding. Extracted information across all included studies will be as follows.
Objectives and focus of the study;
Study design and methodology for data collection;
Reported study biases;
Study conclusions including underlying factors of social / ecological change reported.
Scale of decision-making (variable with 3 levels: decision-making out of state (devolution), decision-making vested in lower level/local authorities (decentralization), centralized decision-making);
Individual versus multi-actor decision-making described through i) Diversification of stakeholders’ categories (2 levels: one versus multi-actor); ii) Nature of stakeholders’ participation (4 levels: pro-active, consultancy, passive, none);
Collaboration among stakeholders in decision-making described through i) Level of collaboration (3 levels: formal, informal, none); ii) Nature of collaboration (3 levels: horizontal (internal), vertical (external), multilevel);
Institutional, social, economical and political context in which PA governance is embedded
Resource ownership (state, local, private, mixed);
Level of resource access and use by the local actors measured through 1) IUCN PA management category (1 to 6); 2) Local community dependency on the forest resources (3 levels: high, moderate, low);
Presence of a local leader (yes/no);
Source of PA funding (4 levels: international, national/governmental, local/communal, private);
National context: corruption and illegality (Governance index score), country development level (Human Development Index score), income inequality (GINI score)
Human population size around PAs (high, medium, low);
Proximity to the urban areas, roads, settlements (high, medium, low);
Comparator type (if any)
Attitudinal success measured through (level of changes/difference in) attitudes of local stakeholders towards focal PA governance, authority and/or management practices (3 levels: high, moderate, low);
Behavioural success measured through (level of changes/difference of) level of conservation-oriented behaviour necessary to decrease the threats to natural resources (3 levels: high, moderate, low);
Ecological success measured through (level of changes/difference in) deforestation rate, biodiversity level, maintenance of forest cover and forest density, condition, health (3 levels: high, moderate, low);
Spillover effects in surrounding social-ecological systems i.e. social, institutional and ecological changes/differences on the local level that may include leakage or policy side effects (3 levels: high, moderate, low);
Time since PA establishment (in years);
PA size (in km2);
Type of ecosystem and climatic conditions (temperate, tropical, boreal);
Synthesis will encompass narrative and summary findings of each study and it will be presented in a table and visualised graphically. Attitudinal, behavioural, ecological success and spillover effects will be estimated based on the aforementioned criteria of performance and inferred from the (valid) evidence reported in included studies (using descriptive levels: low, moderate, high).
In order to discern the underlying conditions and determinants of PA success, qualitative and quantitative information to be extracted from the empirical studies will be integrated by pre-determined coding (as shown above under section “Study Quality Assessment”) and creation of ordinal/categorical variables that will be used in multivariate statistical analyses. Independent variables in the analyses will be 4 measures of success: attitudinal, behavioural, ecological and spillover effects. Dependent variables will be governance characteristics, institutional, economical, political and social setting (effect modifiers). The analyses will be done separately for each governance mode. Finally, comparisons will be done at the final phase and based on the regression results.
We will not infer conclusions about the comparisons between governance regimes if original studies had different counterfactual outcomes i.e. we will not contrast studies that estimated counterfactual of no protection versus counterfactual of a different governance mode. Data extraction and synthesis will be additionally refined during the review process.
In case of missing data in the included studies, we will contact authors and request relevant information.
This review will report methodologies for assessment of forest PAs governance effectiveness, data gaps and potential for future empirical research.
a Under effective conservation we mean positive and measurable effects of conservation policies and practices on biodiversity and target ecosystems, populations, species or habitats.
b Community conserved areas have been relatively recently internationally recognized as a PA at IUCN World Parks Congress in 2003 (Durban) and at the COP VII of CBD in 2004 (Kuala Lumpur) (:1);
c The outcome measures are adopted from Systematic Reviews by Brooks et al. [32, 34, 53] that employed set of ecological, attitudinal, behavioral and economic measures of success to estimate effectiveness of conservation intervention. However, as Pullin and colleagues  in their review focused mainly on social-economical analysis of terrestrial PAs, this review does not assess the economical effectiveness to avoid the potential overlap
d A stakeholder in this study refers to those who affect and those affected i.e. both actively and passively involved individuals, groups or organizations in a PA governance (after ).
This research is funded by the FONASO Erasmus Mundus fellowship. Authors would like to thank to reviewers for their valuable comments.
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