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Evaluating guidelines as key components of conservation policies: a conceptual framework and a pilot application

Published online by Cambridge University Press:  01 March 2024

Angela Osorio
Affiliation:
Laboratoire Image Ville Environnement (LIVE UMR 7362), University of Strasbourg, Strasbourg, France Social and Human Sciences Research Institute (ICSH), University of Caldas, Manizales, Columbia
Laurent Schmitt
Affiliation:
Laboratoire Image Ville Environnement (LIVE UMR 7362), University of Strasbourg, Strasbourg, France
Dominique Badariotti
Affiliation:
Laboratoire Image Ville Environnement (LIVE UMR 7362), University of Strasbourg, Strasbourg, France
Yves Meinard*
Affiliation:
Centre Gilles Gaston Granger (CGGG, UMR 7304), Aix-Marseille Université, Aix-en-Provence, France
*
Corresponding author: Yves Meinard; Email: [email protected]
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Summary

Guidelines for managers of protected areas are an important component of conservation policies, on a par with large-scale frameworks and vehicles for conservation funding. In line with the recent literature proposing evaluations of conservation actions or political strategies to improve them, here we use an innovative, hybrid methodology, based both on an interpretative approach anchored in social sciences and a quantitative literature review, to identify available frameworks for evaluating conservation guidelines. The main result of this analysis is that the relevant literature in conservation is sparse and heterogeneous, but a relevant encompassing framework is provided by the literature in decision sciences based on the policy analytics framework. This evaluation framework consists of three criteria: scientific credibility, operationality and legitimacy. We then implement a pilot application by evaluating guidelines currently used in France to support all of the actors involved in protected areas management. The study concludes that these guidelines are plagued by significant weaknesses that could be overcome by implementing relevant participatory processes.

Type
Research Paper
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation

Introduction

The elaboration and spreading of guidelines for managers of protected areas (PAs) play key roles in conservation policies, on a par with large-scale frameworks, such as the European Directives (Evans Reference Evans2012), or vehicles for conservation funding, such as dedicated parts of the Common Agricultural Policy in Europe (Linares et al. Reference Linares Quero, Iragui Yoldi, Gava, Schwarz, Povellato and Astrain2022). These various components of conservation policies are often interrelated, since institutions and non-governmental organisations (NGOs) financing conservation actions frequently condition funding upon the application of guidelines produced by the same or other institutions, whose legal status and role are entrenched in large-scale conservation frameworks.

The importance of evaluating conservation initiatives, which is increasingly acknowledged in the scientific literature (Álvarez-Fernández et al. Reference Álvarez-Fernández, Freire, Naya, Fernández and Sánchez-Carnero2020a, Reference Álvarez-Fernández, Freire and Sánchez-Carnero2020b, Pearson et al. Reference Pearson, Clark and Hahn2022), is relevant to these various components of conservation policies. Indeed, evaluations can help improve conservation by helping us to learn from past errors and by streamlining funding towards effective actions (Grantham et al. Reference Grantham, Bode, McDonald-Madden, Game and Knight2009, Bottrill et al. Reference Bottrill, Hockings and Possingham2011). This logic holds true both for concrete conservation actions in the field on a local scale and for conservation policies on national, regional or even global scales (Baylis et al. Reference Baylis, Honey-Rosés, Börner, Corbera, Ezzine-de-Blas and Ferraro2015). The European Natura 2000 policy is exemplary in this respect, as its implementation involves iterative evaluations (Jeanmougin et al. Reference Jeanmougin, Dehais and Meinard2017). More specifically, in the case of conservation guidelines, evaluation is needed because guidelines for managers can play major roles in the success or failure of conservation initiatives at two levels. First, ill-conceived guidelines can mislead managers into setting up and implementing wrongheaded conservation actions. Second, because institutions and NGOs financing conservation actions can condition funding upon their application, ill-conceived guidelines can channel funding towards defective conservation projects.

Evaluating guidelines, however, involves specific methodological challenges. Indeed, although evaluating conservation actions involves numerous difficult technical challenges, it can be done rather unequivocally, in a typical evidence-based approach (De Marchi et al. Reference De Marchi, Lucertini and Tsoukiàs2016), by quantifying whether the evaluated actions have had positive impacts on conservation targets, such as the populations of targeted threatened species (e.g., Sanderson et al. Reference Sanderson, Pople and Ieronymidou2015). Many such quantitative assessments of conservation effectiveness have been conducted in both the grey and the academic literature in recent years (Courrau et al. Reference Courrau, Dudley, Hockings, Leverington and Stolton2006, Stolton et al. Reference Stolton, Dudley, Belokurov, Deguignet, Burgess and Hockings2019). They show important promise to improve conservation actions (Courrau et al. Reference Courrau, Dudley, Hockings, Leverington and Stolton2006, Bottrill & Pressey Reference Bottrill and Pressey2012, Geldmann et al. Reference Geldmann, Barnes, Coad, Craigie, Hockings and Burgess2013, Watson et al. Reference Watson, Dudley, Segan and Hockings2014, Stolton Reference Stolton, Dudley, Belokurov, Deguignet, Burgess and Hockings2019).

In the case of management guidelines, however, many confounding factors can make it technically difficult – and conceptually questionable – to assess the quality of guidelines based on the success or failure of the actions they guide. Indeed, faultless guidelines can be ill-applied, ill-intentioned actors can undermine their application, unforeseeable political or socio-economic dynamics can render them inapplicable and there may be insufficient relevant data to implement effectiveness assessments. Therefore, evaluating guidelines requires a broader framework, overcoming the limitations of effectiveness assessment, by supplementing this criterion with other criteria.

Against this background, our focal question in the present article is: what framework can be used for evaluating conservation guidelines? To answer this question, we test two hypotheses.

The first hypothesis is that, although the academic conservation literature contains numerous, piecemeal attempts at evaluating various aspects of management guidelines, a general framework, whose relevance is proven in the academic scientific literature, is lacking. Notice that, as it is formulated here, this hypothesis focuses only on evaluation frameworks with proven academic scientific credentials and thereby excludes numerous frameworks produced and used by field experts or expert institutions, whose relevance is entrenched in practice rather than in academia. This reflects a basic assumption of ours in this article, according to which the abovementioned promises of evaluations are predicated on proven academic scientific robustness. This assumption should not be misunderstood as disparaging frameworks produced by field experts and institutions but as a reminder that academic science has an important role to play in validating the credentials of such frameworks.

To test our first hypothesis, we use an innovative, hybrid methodology based both on an interpretative approach anchored in social sciences and a quantitative review of the academic conservation literature.

The second hypothesis, which is inspired by Jeanmougin et al. (Reference Jeanmougin, Dehais and Meinard2017) and Choulak et al. (Reference Choulak, Marage, Gisbert, Paris and Meinard2019), amongst others, is that ‘policy analytics’ (Meinard et al. Reference Meinard, Barreteau, Boschet, Daniell, Ferrand and Girard2021), a framework introduced in, and currently mainly confined to, the literature in decision sciences, provides the general framework needed by encompassing all of the relevant piecemeal contributions found in the academic conservation literature. Policy analytics is a multicriteria framework that champions the use of three criteria, in addition to effectiveness, in policy evaluation:

Following our demonstration that this framework is relevant to evaluating conservation guidelines, we then illustrate this relevance by developing a pilot application to a particular guide for PA managers: the French ‘Guide for the elaboration of management plans for natural areas’ (http://ct88.espaces-naturels.fr). These guidelines were introduced by the French Biodiversity Agency, an institution entrusted by the central government with orchestrating all of the conservation policies devised and implemented at the national scale. Its purpose is to provide a single reference supporting in a coherent manner the work of all of the actors involved in elaborating management plans for PAs in France.

Materials and methods

Literature review

To identify a framework for evaluating conservation guidelines, we performed a literature review of studies devoted to evaluating conservation documents – not only guidelines but also management plans and programmes. This literature review uses a quantitative approach to capture relevant contributions and then analyses them in an interpretative approach based on a thorough reading of the selected papers and an interpretation of their content. It thereby combines the strengths of both quantitative methods and social-science interpretative reasoning.

As explained above, our hypotheses, to be tested thanks to this literature review, were (1) that there is no commonly accepted framework available in the academic literature to perform the kind of evaluation needed, and (2) that the three ‘policy analytics’ criteria encompass all of the relevant approaches available in the literature despite their diversity, and therefore constitute a general and robust evaluation framework.

The literature review was conducted using a standard four-stage process (Barreto et al. Reference Barreto, Di Domenico and Medeiros2020): (1) definition of the objectives guiding the review; (2) definition of the search protocol (database and search terms); (3) selection of articles based on predetermined criteria; and (4) analysis of the selected literature.

For this bibliographic research, we used the Web of Science (WoS) core collection database, one of the two main publication databases currently used by academic researchers (Pranckutė Reference Pranckutė2021). Several other databases could have been chosen, the most prominent being Google Scholar and Scopus. The former was excluded because, although it appears to have a wider coverage, it includes both academic publications and numerous other resources, such as unpublished reports or manuscripts. If the point had been to identify a diversity of contributions, including the grey literature, this would have been an asset. However, as explained in the ‘Introduction’ section, the hypotheses that we were concerned to test are only focused on the academic scientific literature, which made Google Scholar inappropriate. Scopus’s coverage is also considered broader than WoS’s according to recent analyses; however, for searches based on keywords, such as those we wanted to perform (see below), WoS is considered more efficient (Pranckutė Reference Pranckutė2021). We therefore worked with WoS; a comparative analysis using several databases might have yielded pertinent results but fell beyond our scope (see ‘Discussion’ section).

An initial search was done on the Web of Science core collection database on 6 February 2023, for the period before 2021, using the following request: [protected areas* AND (management OR ecological restoration*) AND (assessment* OR evaluation* OR analysis) AND (guide* OR manual OR tool OR plan)] on abstracts, titles and keywords. The set of articles obtained was then manually screened in an interpretative, social-science approach to select all of those articles that contained evaluation criteria liable to constitute a usable framework for evaluating conservation guidelines. This second step in the search was designed to eliminate articles (1) devoted to evaluating stakeholders’ perceptions of specific documents rather that evaluating the documents themselves, (2) focusing on specific, limited aspects of the document at issue without proposing criteria for evaluating management documents as a whole and (3) presenting an analysis of the management document on the basis of the topics covered without proposing transposable evaluation criteria.

For all of the articles selected using this procedure, we then identified the criteria on which their evaluations were based. In many cases, these criteria were not explicitly stated as such, and the identification was therefore to some extent interpretative. We then reformulated these criteria as synthetic questions. Lastly, the formulation of these synthetic questions was screened to identify keywords associated with the various criteria constituting the policy analytics framework. Lists of keywords were not defined ex ante but rather elaborated as we went along with the interpretation of criteria. Some keywords could refer to several of the policy analytics criteria; in these cases, the larger context provided by whole sentences articulating the criteria was used to identify interpretatively the policy analytics criterion or criteria (if any) to which the different occurrences of these keywords refer in each case. Similarly, an interpretative reading of the whole sentence was used when several keywords referring to different policy analytics criteria were present in the formulation of a single criterion from the literature at issue. This interpretative process eventually allowed us to determine whether the various criteria are encompassed or not in one policy analytics criterion or criteria.

Application

Based on the results from the bibliographic analysis, we then applied the identified relevant evaluation framework to the latest version of the French guidelines to develop management plans for PAs (‘Guide for the elaboration of management plans for natural areas’; http://ct88.espaces-naturels.fr). These guidelines were chosen because they represent an attempt at orchestrating all of the conservation policies devised and implemented at a relatively large scale (that of the whole of France). This analysis illustrates the applicability of our framework and points to the strengths and weaknesses of this particular document. This analysis also enables us to suggest means to improve this document.

Results

Article selection

The initial search yielded 3593 articles (Table S1); however, the ensuing interpretative selection procedure filtered out 3204 of them that in fact do not tackle the evaluation of conservation documents. Although they do perform evaluations of conservation initiatives or documents, 367 of them failed to propose transferable criteria and 60 focus only on effectiveness. In the end, only 22 articles provide a possibly transferable framework based on clearly articulated evaluation criteria other than effectiveness (Table S1). This first result echoes the intrinsic difficulty of evaluating guidelines.

The 22 articles finally selected are mainly relatively recent contributions to the literature (63% (n = 14) published after 2013). These articles are published in 10 journals, the most frequent being Environmental Management (n = 5) and Ocean and Coastal Management (n = 4). Articles with case studies are the most frequent, and they concern 15 countries, the most represented being France (n = 6), Spain (n = 4), Portugal (n = 4) and England (n = 4). They concern 36 types of PAs, the most frequently covered being national parks (n = 8) and marine nature parks (n = 7). The conservation documents evaluated are mainly management plans (n = 13); others are work programmes, guides for the elaboration of management plans and monitoring programmes.

Identification and analysis of evaluation criteria

The criteria used in the various selected articles, rearticulated in synthetic questions, are presented in Table 1. Column C2 lists these synthetic questions, article by article (column C1). When similar criteria are shared by different articles, these articles are grouped together in column C1 (e.g., line L6, which groups three papers using the same criteria). If a commonly accepted set of evaluation criteria had been available, it would have appeared as a single cell or group of cells in column C2, attached to a single cell in column C1 grouping an important part of the population of papers (Table 1). This is not the case, as the most populous cell in column C1 contains only three papers, four cells contain two papers and 14 cells out of 18 contain only one paper. This first analysis allows validation of our first hypothesis, as it shows that no commonly accepted set of evaluation criteria currently exists.

Table 1. Evaluation criteria used in the selected articles (excluding criteria that are irrelevant for our purpose; e.g., effectiveness). Italicized are keywords associated with the ‘policy analytics’ criteria.

Le. = legitimacy; Op. = operationality; PAME = Protected Area Management Effectiveness; RAPPAM = Rapid Assessment and Prioritization of Protected Area Management; Sc. = scientific credibility; SMART = Specific, Measurable, Achievable, Relevant and Time-bound.

The subsequent analysis, striving to identify whether the various proposed criteria can be encompassed in one or several of the policy analytics criteria, shows that the criteria used in the 22 articles can all be interpreted as special cases of the policy analytics criteria (Table 1, column C3). Among the 22 articles, 18 champion criteria that can be interpreted as variants of a general criterion of operationality. These criteria refer to requirements to take administrative, legal or financial constraints into account, to cogently organize human and material resources or to use relevant organizational tools. Nineteen of the 22 articles put forward criteria capturing aspects of legitimacy. These criteria mention the need to include various types of stakeholders, the importance of discussing and/or assessing values and the ways by which the public or different relevant communities were involved. Lastly, 12 articles promote criteria reflecting scientific credibility requirements. Such criteria mention the need to anchor management in updated knowledge and data, to implement relevant monitoring schemes or to use concepts and framework accepted in the scientific community.

Application of the evaluation framework

The application of the evaluation framework constituted by the scientific credibility, operationality and legitimacy criteria to the French ‘Guide for the elaboration of management plans for natural areas’ highlights considerable weaknesses with respect to the three criteria (see also Osorio et al. Reference Osorio, Schmitt, Badariotti and Meinard2023, which expands on some of these issues).

In terms of scientific credibility, this analysis shows that:

In terms of operationality:

In terms of legitimacy:

  • The French ‘Guide for the elaboration of management plans for natural areas’ fails to discuss the various actors’ responsibilities and strategies as well as actions to strengthen accountability (p. 39; problem L1).

  • It fails to justify the key choices underlying the definition it gives to operational objectives (p. 35; problem L2).

  • It fails to promote discussions on the values underlying the tools used, such as Red Lists and similar species lists (p. 29; problem L3).

  • It promotes the search for consensus (p. 62), thereby ignoring that consensus-seeking can nullify the possibility of debating different positions without having to resort to violence, prevent an in-depth analysis of conflicts and obscure the hegemony of certain actors (Mouffe Reference Mouffe2005, Arpin Reference Arpin2019; problem L4).

Recommendations

The literature suggests that the weaknesses identified by our evaluation can all be addressed by implementing relevant participatory processes involving both local communities and a diversity of knowledge-holders, including experts and scientists. Indeed, by involving scientific experts, participation can help strengthen scientific robustness (scientific credibility), and the co-construction with local actors and operational workers can help fix operational problems (operationality). In addition, the inclusion of stakeholders with diverse views and values can strengthen legitimacy by initiating constructive discussions on values (García-Montes & Monreal Reference García-Montes and Arnanz Monreal2019) and, depending on the specific situation, either by enabling stakeholders to build a shared vision of the future (Santana-Medina et al. Reference Santana-Medina, Franco-Maass, Sánchez-Vera, Imbernon and Nava-Bernal2013) or by enabling the open acknowledgement of irreducible disagreements.

The fact that guidelines such as those analysed here are plagued by problems that participatory processes can fix shows that participation, although routinely and repeatedly referred to in guidelines, is insufficiently dealt with in such documents, which underestimate the difficulty of setting up and implementing participatory processes (Osorio et al. Reference Osorio, Schmitt, Badariotti and Meinard2023).

Discussion

The main result of this analysis is that the relevant academic literature in conservation is sparse and heterogeneous, but a relevant encompassing framework is provided by the literature in decision sciences on the ‘policy analytics’ framework. Like most scientific studies based on literature reviews, this analysis admittedly neglects the grey literature, because the latter is excluded from large-scale homogeneous bibliographic databases such as the one used here. However, as explained above, excluding the grey literature is justified when the aim is to identify frameworks for which the robustness is buttressed in the academic scientific literature.

In addition, most of the articles analysed in Table 1 refer to and are based on important contributions to the grey literature, which are duly referred to. This suggests that our analysis indirectly encompasses at least part of the relevant grey literature. That said, the grey literature certainly contains other useful frameworks that are ignored by the academic scientific literature. This conjecture suggests that academic scientific evaluations of such contributions to the grey literature are needed to entrench their scientific credentials and, incidentally, to increase their visibility. A systematic review of evaluation frameworks published in the grey literature and a systematic meta-evaluation of their scientific credentials would accordingly be major contributions. Dedicated methodologies will have to be devised for that purpose, as identifying and screening the grey literature involves numerous major challenges. All of this falls beyond the scope of the present paper.

Comparing our results with those obtained using other large-scale bibliographic databases, such as Scopus, could also bring complementary insights. However, a similar analysis of Scopus could not possibly invalidate our key message, according to which there is no dominant evaluation framework for conservation guidelines in the academic literature. Indeed, although Scopus is known to be more extensive in some domains, even if all of the records included in Scopus but not Web of Science were to share a unique framework, which seems unlikely, such a framework would not dominate the Scopus plus Web of Science corpus.

Another improvement that future studies could take upon themselves is to test the robustness of the interpretative steps of our analyses. We characterize as ‘interpretative’ the operations that consisted in reformulating criteria in synthetic questions and in identifying keywords referring to the various policy analytics criteria. Empirical robustness tests could be implemented by asking a diverse set of experts to propose their own reformulations and keywords.

Another, possibly more promising refinement of our analysis would be to test whether the ‘policy analytics’ criteria can be rendered more precise whilst retaining their ability to encompass the criteria we identified in the scientific literature. Indeed, a plausible criticism that could be raised against our approach is that the ‘policy analytics’ criteria are exceedingly vague, and that this vagueness alone explains why they encompass all of the criteria proposed in the literature. This suspected vagueness of the framework has been discussed in the literature in the decision sciences and management (e.g., Meinard et al. Reference Meinard, Barreteau, Boschet, Daniell, Ferrand and Girard2021), with proposals given of more precise definitions of especially complex concepts, such as legitimacy. This literature can be used to identify directions for testing more precise variants of the framework.

The second task performed in this study consisted in applying the three criteria of legitimacy, operationality and scientific credibility to specific guidelines for managers of PAs. This application illustrates that, although the criteria proposed in our framework are arguably more abstract than those identified in the conservation literature, this abstractness does not come at the expense of applicability. The main conclusion of the application was that the evaluated guidelines are plagued by significant weaknesses that could be overcome by implementing relevant participatory processes. Some initiatives arguably go in the direction of implementing participation that might be able to address the kind of problems that we pinpointed in this analysis. For example, the German procedure to draw up management plans for Natura 2000 sites (e.g., in Baden-Württemberg State, Germany; https://pd.lubw.de/69643) involves the wide diffusion of preliminary layouts of management plans associated with public hearings, on-site debates with stakeholders and websites presenting management actions. However, the associated guidelines do not detail how such mechanisms should be chosen and implemented. This loophole echoes the multiple weaknesses in the application of participation that generally plague current PA management in Europe (Piwowarczyk & Wróbel Reference Piwowarczyk and Wróbel2016, Kovács et al. Reference Kovács, Kelemen, Kiss, Kalóczkai, Fabók and Mihók2017, Álvarez-Fernández et al. Reference Álvarez-Fernández, Freire, Naya, Fernández and Sánchez-Carnero2020a, Reference Álvarez-Fernández, Freire and Sánchez-Carnero2020b). The lesson learnt from our analysis of management guidelines hence appears to hold true more generally for a vast array of conservation policy tools.

However, the very idea that participation should be encouraged in conservation decision-making, which constitutes the backbone of our recommendations, is not without its critics. Indeed, participation does not always strengthen conservation (Young et al. Reference Young, Jordan, Searle, Butler, Chapman, Simmons and Watt2013): it increases the time needed to develop management strategies and their costs (Paletto et al. Reference Paletto, Hamunen and De Meo2015), and it can be used as a manipulative tool to reproduce unequal power relations and reinforce the dominance of certain forms of knowledge (Turnhout et al. Reference Turnhout, Metze, Wyborn, Klenk and Louder2020). To overcome such problems, Osorio et al. (Reference Osorio, Schmitt, Badariotti and Meinard2022) champion ‘counter-argumentative participation’, defined as a process by which different stakeholders influence decision-making by expressing criticisms and counter-arguments. How such recommendations can be integrated into conservation guidelines such as those analysed here remains to be formally established; so is the extent to which they can solve the problems facing conservation practitioners in the field.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S0376892924000055.

Acknowledgements

We thank the research team at LIVE, A Bagaeva, A-C Vaissière, E Hassenforder, A Mangos, A Richard, L Germain and KM Wantzen, for their comments on earlier versions of this article, the editors and reviewers for their powerful comments and criticisms of the submitted version and I Villa for her thorough linguistic review of the main text.

Financial support

The PhD of Angela Osorio was funded by the University of Strasbourg.

Competing interests

The authors declare none.

Ethical standards

None.

References

Alder, J (1996) Have tropical marine protected areas worked? An initial analysis of their success. Coastal Management 24: 97114.10.1080/08920759609362285CrossRefGoogle Scholar
Allen, L, Holland, KK, Holland, H, Tome’, S, Nabaala, M, Seno, S et al. (2019) Expanding staff voice in protected area management effectiveness assessments within Kenya’s Maasai Mara National Reserve. Environmental Management 63: 4659.CrossRefGoogle ScholarPubMed
Álvarez-Fernández, I, Fernández, N, Sánchez-Carnero, N, Freire, J (2017) The management performance of marine protected areas in the north-east Atlantic Ocean. Marine Policy 76: 159168.CrossRefGoogle Scholar
Álvarez-Fernández, I, Freire, J, Naya, I, Fernández, N, Sánchez-Carnero, N (2020a) Failures in the design and implementation of management plans of marine protected areas: an empirical analysis for the North-east Atlantic Ocean. Ocean & Coastal Management 192: 105178.10.1016/j.ocecoaman.2020.105178CrossRefGoogle Scholar
Álvarez-Fernández, I, Freire, J, Sánchez-Carnero, N (2020b) Low-quality management of marine protected areas in the north-east Atlantic. Marine Policy 117: 103922.10.1016/j.marpol.2020.103922CrossRefGoogle Scholar
Ananda, J, Proctor, W (2013) Collaborative approaches to water management and planning: an institutional perspective. Ecological Economics 86: 97106.CrossRefGoogle Scholar
Anthamatten, P., Hazen, H. (2007) Unnatural selection: an analysis of the ecological representativeness of natural world heritage sites. The Professional Geographer 59: 256268. https://doi.org/10.1111/j.1467-9272.2007.00611.x CrossRefGoogle Scholar
Anthony, BP, Shestackova, E (2015) Do global indicators of protected area management effectiveness make sense? A case study from Siberia. Environmental Management 56: 176192.CrossRefGoogle Scholar
Apitz, SE (2008) Adaptive management principles and sediment management: a call for discussions. Journal of Soils and Sediments 8: 359362.CrossRefGoogle Scholar
Arlettaz, R, Schaub, M, Fournier, J, Reichlin, TS, Sierro, A, Watson, JEM et al. (2010) From publications to public actions: when conservation biologists bridge the gap between research and implementation. BioScience 60: 835842.CrossRefGoogle Scholar
Arpin, I (2019) The rise of planning in nature conservation and the practitioners’ approach to conflicts. The inspiring case of the northern French Alps nature reserves. Journal for Nature Conservation 48: 5460.CrossRefGoogle Scholar
Arpin, I, Cosson, A (2021) Seeking legitimacy in European biodiversity conservation policies: the case of French national parks. Environmental Science & Policy 116: 181187.CrossRefGoogle Scholar
Ayivor, JS, Gordon, C, Tobin, GA, Ntiamoa-Baidu, Y (2020) Evaluation of management effectiveness of protected areas in the Volta Basin, Ghana: perspectives on the methodology for evaluation, protected area financing and community participation. Journal of Environmental Policy & Planning 22: 239255.10.1080/1523908X.2019.1705153CrossRefGoogle Scholar
Barker, A, Stockdale, A (2008) Out of the wilderness? Achieving sustainable development within Scottish national parks. Journal of Environmental Management 88: 181193.CrossRefGoogle ScholarPubMed
Barreto, GC, Di Domenico, M, Medeiros, RP (2020) Human dimensions of marine protected areas and small-scale fisheries management: a review of the interpretations. Marine Policy 119: 104040.CrossRefGoogle Scholar
Baylis, K, Honey-Rosés, J, Börner, J, Corbera, E, Ezzine-de-Blas, D, Ferraro, PJ, et al. (2015). Mainstreaming impact evaluation in nature conservation. Conservation Letters 9: 5864.10.1111/conl.12180CrossRefGoogle Scholar
Beck, J, Böller, M, Erhardt, A, Schwanghart, W (2014) Spatial bias in the GBIF database and its effect on modeling species’ geographic distributions. Ecological Informatics 19: 1015.CrossRefGoogle Scholar
Bennett, NJ, Roth, R, Klain, SC, Chan, K, Christie, P, Clark, DA et al. (2017) Conservation social science: understanding and integrating human dimensions to improve conservation. Biological Conservation 205: 93108.10.1016/j.biocon.2016.10.006CrossRefGoogle Scholar
Bormann, BT, Haynes, RW, Martin, JR (2007) Adaptive management of forest ecosystems: did some rubber hit the road? BioScience 57: 186191.10.1641/B570213CrossRefGoogle Scholar
Bottrill, MC, Hockings, M, Possingham, HP (2011) In pursuit of knowledge: addressing barriers to effective conservation evaluation. Ecology and Society 16: 14.10.5751/ES-04099-160214CrossRefGoogle Scholar
Bottrill, MC, Pressey, RL (2012) The effectiveness and evaluation of conservation planning: evaluation and conservation planning. Conservation Letters 5: 407420.CrossRefGoogle Scholar
Bouyssou, D, Marchant, T, Pirlot, M, Perny, P, Tsoukiàs, A, Vincke, P (2000) Evaluation and Decision Models: A Critical Perspective. Boston, MA, USA: Springer US.10.1007/978-1-4615-1593-7CrossRefGoogle Scholar
Choulak, M, Marage, D, Gisbert, M, Paris, M, Meinard, Y (2019) A meta-decision-analysis approach to structure operational and legitimate environmental policies – with an application to wetland prioritization. Science of the Total Environment 655: 384394.CrossRefGoogle ScholarPubMed
Claudet, J, Pelletier, D (2004) Marine protected areas and artificial reefs: a review of the interactions between management and scientific studies. Aquatic Living Resources 17: 129138.10.1051/alr:2004017CrossRefGoogle Scholar
Courrau, J, Dudley, N, Hockings, M, Leverington, F, Stolton, S (2006) Evaluating Effectiveness: A Framework for Assessing Management Effectiveness of Protected Areas. Gland, Switzerland: IUCN.10.2305/IUCN.CH.2005.PAG.14.enCrossRefGoogle Scholar
De Marchi, G, Lucertini, G, Tsoukiàs, A (2016) From evidence-based policy making to policy analytics. Annals of Operations Research 236: 1538.10.1007/s10479-014-1578-6CrossRefGoogle Scholar
Dubois, NS, Gomez, A, Carlson, S, Russell, D (2020) Bridging the research–implementation gap requires engagement from practitioners. Conservation Science and Practice 2: e134.10.1111/csp2.134CrossRefGoogle Scholar
Ernoul, L, Beck, N, Cohez, D, Perennou, C, Thibault, M, Willm, L et al. (2015) Trends in management plans and guides: 25 years of experience from southern France. Journal of Environmental Planning and Management 58: 10961112.CrossRefGoogle Scholar
Ervin, J (2003) WWF rapid assessment and prioritization of protected area management (RAPPAM) methodology. Gland, Switzerland: WWF [www document]. URL https://wwfeu.awsassets.panda.org/downloads/rappam.pdf Google Scholar
Evans, D (2012) Building the European Union’s Natura 2000 network. Nature Conservation 1: 1126.10.3897/natureconservation.1.1808CrossRefGoogle Scholar
Fedorov, NI, Muldashev, AA, Martynenko, VB, Baisheva, EZ, Shirokikh, PS, Elizaryeva, OA et al. (2020) Identifying highly diverse areas of rare plant species as a basis for assessing representativeness and improving the network of protected areas. Contemporary Problems of Ecology 13: 418428.CrossRefGoogle Scholar
Ferraro, PJ, Pattanayak, SK (2006) Money for nothing? A call for empirical evaluation of biodiversity conservation investments. PLoS Biology 4: e105.10.1371/journal.pbio.0040105CrossRefGoogle Scholar
Folke, C, Hahn, T, Olsson, P, Norberg, J (2005) Adaptive governance of social-ecological systems. Annual Review of Environment and Resources 30: 441473.CrossRefGoogle Scholar
García-Montes, N, Arnanz Monreal, L (2019) Metodologías participativas para la planificación de la sostenibilidad ambiental local. El caso de la Agenda 21. Empiria. Revista de metodología de ciencias sociales (epub ahead of print) doi: 10.5944/empiria.44.2019.25354.CrossRefGoogle Scholar
Geldmann, J, Barnes, M, Coad, L, Craigie, ID, Hockings, M, Burgess, ND (2013) Effectiveness of terrestrial protected areas in reducing habitat loss and population declines. Biological Conservation 161: 230238.10.1016/j.biocon.2013.02.018CrossRefGoogle Scholar
Grantham, HS, Bode, M, McDonald-Madden, E, Game, ET, Knight, AT (2009) Effective conservation planning requires learning and adaptation. Frontiers in Ecology and the Environment 8: 431437. CrossRefGoogle Scholar
Hallam, CD, Wintle, BA, Kujala, H, Whitehead, AL, Nicholson, E (2020) Measuring impacts on species with models and metrics of varying ecological and computational complexity. Conservation Biology 34: 15121524.10.1111/cobi.13524CrossRefGoogle ScholarPubMed
Hockings, M (1998) Evaluating management of protected areas: integrating planning and evaluation. Environmental Management 22: 337345.CrossRefGoogle ScholarPubMed
Hockings, M, Cook, CN, Carter, RW, James, R (2009) Accountability, reporting, or management improvement? Development of a state of the parks assessment system in New South Wales, Australia. Environmental Management 43: 10131025.CrossRefGoogle ScholarPubMed
Hockings, M, Stolton, S, Dudley, N (2000) Evaluating Effectiveness: A Framework for Assessing the Management of Protected Areas. Gland, Switzerland and Cambridge, UK: IUCN [www document]. URL https://portals.iucn.org/library/efiles/documents/pag-014.pdf Google Scholar
Holling, CS (1996) Surprise for science, resilience for ecosystems, and incentives for people. Ecological Applications 6: 733735.CrossRefGoogle Scholar
Jarić, I, Quétier, F, Meinard, Y (2019) Procrustean beds and empty boxes: on the magic of creating environmental data. Biological Conservation 237: 248252.10.1016/j.biocon.2019.07.006CrossRefGoogle Scholar
Jeanmougin, M, Dehais, C, Meinard, Y (2017) Mismatch between habitat science and habitat directive: lessons from the French (counter) example: evaluating the European habitat policy. Conservation Letters 10: 634644.CrossRefGoogle Scholar
Jones, PJS (1994) A review and analysis of the objectives of marine nature reserves. Ocean & Coastal Management 24: 149178.10.1016/0964-5691(94)90036-1CrossRefGoogle Scholar
Knight, AT, Cowling, RM, Rouget, M, Balmford, A, Lombard, AT, Campbell, BM (2008) Knowing but not doing: selecting priority conservation areas and the research–implementation gap. Conservation Biology 22: 610617.CrossRefGoogle Scholar
Kovács, E, Kelemen, E, Kiss, G, Kalóczkai, Á, Fabók, V, Mihók, B et al. (2017) Evaluation of participatory planning: lessons from Hungarian Natura 2000 management planning processes. Journal of Environmental Management 204: 540550.CrossRefGoogle ScholarPubMed
Linares Quero, A, Iragui Yoldi, U, Gava, O, Schwarz, G, Povellato, A, Astrain, C (2022) Assessment of the Common Agricultural Policy 2014–2020 in supporting agroecological transitions: a comparative study of 15 cases across Europe. Sustainability 14: 9261.10.3390/su14159261CrossRefGoogle Scholar
Lu, D-J, Kao, C-W, Chao, C-L (2012) Evaluating the management effectiveness of five protected areas in Taiwan using WWF’s RAPPAM. Environmental Management 50: 272282.10.1007/s00267-012-9875-9CrossRefGoogle Scholar
Luyet, V, Schlaepfer, R, Parlange, MB, Buttler, A (2012) A framework to implement stakeholder participation in environmental projects. Journal of Environmental Management 111: 213219.10.1016/j.jenvman.2012.06.026CrossRefGoogle ScholarPubMed
Maestro, M, Chica-Ruiz, JA, Pérez-Cayeiro, ML (2020) Analysis of marine protected area management: the Marine Park of the Azores (Portugal). Marine Policy 119: 104104.CrossRefGoogle Scholar
McRae, L, Deinet, S, Freeman, R (2017) The diversity-weighted living planet index: controlling for taxonomic bias in a global biodiversity indicator. PLoS ONE 12: e0169156.CrossRefGoogle Scholar
Meinard, Y (2017) What is a legitimate conservation policy? Biological Conservation 213: 115123.10.1016/j.biocon.2017.06.042CrossRefGoogle Scholar
Meinard, Y, Barreteau, O, Boschet, C, Daniell, KA, Ferrand, N, Girard, S et al. (2021) What is policy analytics? An exploration of 5 years of environmental management applications. Environmental Management 67: 886900.CrossRefGoogle ScholarPubMed
Meyer, C, Kreft, H, Guralnick, R, Jetz, W (2015) Global priorities for an effective information basis of biodiversity distributions. Nature Communications 6: 8221.CrossRefGoogle ScholarPubMed
Milla–Figueras, D, Schmiing, M, Amorim, P, Horta e Costa, B, Afonso, P, Tempera, F (2020) Evaluating seabed habitat representativeness across a diverse set of marine protected areas on the Mid–Atlantic Ridge. Biodiversity and Conservation 29: 11531175.10.1007/s10531-019-01929-yCrossRefGoogle Scholar
Mingarro, M, Lobo, JM (2018) Environmental representativeness and the role of emitter and recipient areas in the future trajectory of a protected area under climate change. Animal Biodiversity and Conservation 41: 333344.10.32800/abc.2018.41.0333CrossRefGoogle Scholar
Morris, RKA, Bennett, T, Blyth-Skyrme, R, Barham, PJ, Ball, A (2014) Managing Natura 2000 in the marine environment – an evaluation of the effectiveness of ‘management schemes’ in England. Ocean & Coastal Management 87: 4051.10.1016/j.ocecoaman.2013.10.017CrossRefGoogle Scholar
Mouffe, C (2005) On the Political, 1st edition. Abingdon, UK: Routledge.Google Scholar
Muñoz, L, Hausner, V (2013) What do the IUCN categories really protect? A case study of the alpine regions in Spain. Sustainability 5: 23672388.10.3390/su5062367CrossRefGoogle Scholar
Osorio, A, Schmitt, L, Badariotti, D, Meinard, Y (2022) Mise en œuvre d’un processus de « participation contre-argumentative » dans la gestion et la restauration des milieux fluviaux : retour d’expérience dans une Réserve Naturelle Nationale rhénane. Géocarrefour 96: 19984.10.4000/geocarrefour.19984CrossRefGoogle Scholar
Osorio, A, Schmitt, L, Badariotti, D, Meinard, Y (2023) Améliorer la gestion des espaces naturels par la participation. Une analyse du guide français pour l’élaboration des plans de gestion. VertigO (epub ahead of print) doi: 10.4000/vertigo.40230.CrossRefGoogle Scholar
Paletto, A, Hamunen, K, De Meo, I (2015) Social network analysis to support stakeholder analysis in participatory forest planning. Society & Natural Resources 28: 11081125.CrossRefGoogle Scholar
Pe’er, G, Mihoub, J-B, Dislich, C, Matsinos, Y (2014) Towards a different attitude to uncertainty. Nature Conservation 8: 95114.10.3897/natureconservation.8.8388CrossRefGoogle Scholar
Pearson, DE, Clark, TJ, Hahn, PG (2022) Evaluating unintended consequences of intentional species introductions and eradications for improved conservation management. Conservation Biology 36: e13734.CrossRefGoogle ScholarPubMed
Piwowarczyk, J, Wróbel, B (2016) Determinants of legitimate governance of marine Natura 2000 sites in a post-transition European Union country: a case study of Puck Bay, Poland. Marine Policy 71: 310317.CrossRefGoogle Scholar
Pranckutė, R (2021) Web of Science (WoS) and Scopus: the titans of bibliographic information in today’s academic world. Publications 9: 12.10.3390/publications9010012CrossRefGoogle Scholar
Sanderson, FJ, Pople, RG, Ieronymidou, C, Burfield IJ, Gregory RD, Willis SG et al. (2015). Assessing the performance of EU nature legislation in protecting target bird species in an era of climate change: impacts of EU nature legislation. Conservation Letter, 9, 172180.CrossRefGoogle Scholar
Santana-Medina, N, Franco-Maass, S, Sánchez-Vera, E, Imbernon, J, Nava-Bernal, G (2013) Participatory generation of sustainability indicators in a natural protected area of Mexico. Ecological Indicators 25: 19.CrossRefGoogle Scholar
Santos, CZ, Schiavetti, A (2014) Assessment of the management in Brazilian marine extractive reserves. Ocean & Coastal Management 93: 2636.CrossRefGoogle Scholar
Schwartz, MW, Cook, CN, Pressey, RL, Pullin, AS, Runge, MC, Salafsky, N et al. (2018) Decision support frameworks and tools for conservation: decision support for conservation. Conservation Letters 11: e12385.CrossRefGoogle Scholar
Scianna, C, Niccolini, F, Bianchi, CN, Guidetti, P (2018) Applying organization science to assess the management performance of marine protected areas: an exploratory study. Journal of Environmental Management 223: 175184.10.1016/j.jenvman.2018.05.097CrossRefGoogle ScholarPubMed
Sendzimir, J, Magnuszewski, P, Gunderson, L (2018) Adaptive management of riverine socio-ecological systems. In Schmutz, S, Sendzimir, J (eds), Riverine Ecosystem Management: Science for Governing towards a Sustainable Future (pp. 301324). New York, NY, USA: Springer International Publishing.CrossRefGoogle Scholar
Stolton, S, Dudley, N, Belokurov, A, Deguignet, M, Burgess, ND, Hockings, M et al. (2019) Lessons learned from 18 years of implementing the Management Effectiveness Tracking Tool (METT): a perspective from the METT developers and implementers. PARKS 25: 7992.10.2305/IUCN.CH.2019.PARKS-25-2SS.enCrossRefGoogle Scholar
Stori, FT, Shinoda, DC, Turra, A (2019) Sewing a blue patchwork: an analysis of marine policies implementation in the southeast of Brazil. Ocean & Coastal Management 168: 322339.CrossRefGoogle Scholar
Sutherland, WJ, Taylor, NG, MacFarlane, D, Amano, T, Christie, AP, Dicks, LV et al. (2019) Building a tool to overcome barriers in research–implementation spaces: the Conservation Evidence database. Biological Conservation 238: 108199.CrossRefGoogle Scholar
Troudet, J, Grandcolas, P, Blin, A, Vignes-Lebbe, R, Legendre, F (2017) Taxonomic bias in biodiversity data and societal preferences. Scientific Reports 7: 9132.CrossRefGoogle ScholarPubMed
Turnhout, E, Metze, T, Wyborn, C, Klenk, N, Louder, E (2020) The politics of co-production: participation, power, and transformation. Current Opinion in Environmental Sustainability 42: 1521.CrossRefGoogle Scholar
Watson, JEM, Dudley, N, Segan, DB, Hockings, M (2014) The performance and potential of protected areas. Nature 515: 6773.CrossRefGoogle ScholarPubMed
Wyatt, S, Merrill, S, Natcher, D (2011) Ecosystem management and forestry planning in Labrador: how does Aboriginal involvement affect management plans? Canadian Journal of Forest Research 41: 22472258.CrossRefGoogle Scholar
Yang, W, Ma, K, Kreft, H (2013) Geographical sampling bias in a large distributional database and its effects on species richness–environment models. Journal of Biogeography 40: 14151426.10.1111/jbi.12108CrossRefGoogle Scholar
Young, JC, Jordan, A, Searle, KR, Butler, A, Chapman, DS, Simmons, P, Watt, AD (2013) Does stakeholder involvement really benefit biodiversity conservation? Biological Conservation 158: 359370.CrossRefGoogle Scholar
Figure 0

Table 1. Evaluation criteria used in the selected articles (excluding criteria that are irrelevant for our purpose; e.g., effectiveness). Italicized are keywords associated with the ‘policy analytics’ criteria.

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