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SustainabilitySustainability
  • Review
  • Open Access

10 October 2018

26 Pages

A Social–Ecological Systems Framework as a Tool for Understanding the Effectiveness of Biosphere Reserve Management

,
,
and
1
Center for Environmental and Sustainability Research (CENSE), NOVA School of Science and Technology, NOVA University Lisbon, Campus de Caparica, 2829-516 Caparica, Portugal
2
Institute of Ecology, Faculty of Sustainability and Center for Methods, Leuphana University, Universitätsallee 1, 21335 Lüneburg, Germany
3
Institute for Ethics and Transdisciplinary Sustainability Research, Faculty of Sustainability, Leuphana University, Universitätsallee 1, 21335 Lüneburg, Germany
*
Author to whom correspondence should be addressed.

Abstract

Biosphere reserves aim to reconciliate social and economic development with biodiversity conservation through complex spatial and governance arrangements. However, there is a generalized lack of information about how biosphere reserves are being managed and governed, and at what point their goals are being achieved, which limits a better understanding of the factors influencing biosphere reserve management effectiveness. Building on a systematic review of existing empirical studies, we developed a framework that identifies the main features related to biosphere reserve management effectiveness. We identified four main categories—context, inputs, process and outcomes—and 53 sub-categories, which interact at different scales and shape biosphere reserve effectiveness. We found that the capacity of biosphere reserves to achieve their goals is not only related to the way they are managed/governed, or to the inputs invested, but to many social and ecological contextual factors. We also identified benefits and impacts that were associated to biosphere reserves around the world. Comparing to other social–ecological system frameworks, ours provides a more inclusive approach, since it integrates the findings of studies with different research perspectives, considers a plurality of values attributed to natural resources, and the social–ecological system’s scales dynamics.

1. Introduction

1.1. Biosphere Reserves and Social–Ecological Systems Management and Governance

Biosphere reserves are unique places to understand how to sustainably manage and govern social–ecological systems, given their integrated approach to conserve biodiversity and promote sustainable development, and their global scope. Along the manuscript we use the term “management” to refer to procedures and activities that are pursued in order to achieve given goals [1], and “governance” to address how and who make the decisions [2]. The designation of biosphere reserves is the main instrument for the implementation of the United Nations Educational, Scientific and Cultural Organization Man and Biosphere Programme (UNESCO-MAB) [3], which to date contains 669 designated places, distributed over 120 countries [4]. The first biosphere reserves were designated in 1976 to conserve natural areas and their genetic material [5]; however, in 1996, their goal and functions were altered in order to accommodate sustainable development along with biodiversity conservation goals [6]. Biosphere reserves are now “sites of excellence to explore and demonstrate conservation and sustainable development on a regional scale” [6]. Each biosphere reserve is expected to fulfill three functions: biodiversity conservation, sustainable development, and a logistic support function that is related to research, training and education [6]. In order to achieve these functions, biosphere reserves have to meet the designation criteria, which includes the implementation of a zoning scheme: a legally constituted core area of adequate size to meet the long-term conservation objectives, surrounded or contiguous to a buffer zone, where activities consistent with the conservation goals can be performed, and a transition zone, where sustainable resource management should take place [6]. Besides the zonation and dimension requirements, biosphere reserves have to be relevant for the conservation of biodiversity within its biogeographic region, and provide arrangements to promote the participation of a range of stakeholders in the governance of the biosphere reserve, inter alia, public authorities, local communities and private interests [6].
The UNESCO Man and Biosphere Programme integrates key concepts from the social–ecological systems management and governance literature [7,8,9]. The goals of biosphere reserves are not only related to the conservation of biological diversity, but also cultural diversity, ecosystem services, and sustainable development [3]. Their logistic function places emphasis on the importance of learning, a key property of adaptive management [10]. Governance of biosphere reserves requires the inclusion of a diversity of actors, a property of co-management and polycentric governance. They can provide the arena where a diversity of organizations and stakeholders, at different scales or within the same level, interact. The role of bridging organizations is particularly important in this regard; to foster collaboration, build trust and resolve conflicts between the different stakeholders [11].
A big gap between the biosphere reserves concept and practice has been reported [12,13]. According to a report of the International Co-ordinating Council of the MAB Programme [13], a big majority of the designated biosphere reserves were not fulfilling the designation criteria, and only six (out of a total of 621) were considered to fully meet the criteria. However, a comprehensive understanding of biosphere reserve management effectiveness, i.e., if biosphere reserves achieve the goals for which they were designated (as defined in protected areas’ management effectiveness literature [14]), is not available; note we use the terms “biosphere reserves’ management effectiveness” and “biosphere reserves’ effectiveness” interchangeably along the manuscript. The mechanism that evaluates biosphere reserves—the periodic review process—is considered inadequate to monitor management effectiveness, because it mainly focuses on evaluating the compliance with the designation criteria, and not its management and governance performances [15]. Besides that, the information available is scarce, not only because most biosphere reserves have not established any reporting until very recently [13], but also because the periodic reviews are not accessible. Assessment of biosphere reserve effectiveness (and of protected areas in general) is also hampered by the general lack of available data for biodiversity and social monitoring [16]. This situation limits the understanding of which factors may be related to success or failure of biosphere reserves and also their contribution for a better understanding of pathways towards more sustainable social–ecological systems.
Some large-scale studies have evaluated biosphere reserve management effectiveness and the factors that can be associated with its success or failure. However, these studies are not comprehensive because they analyze specific management/governance practices (e.g., Schultz and her colleagues analyzed how stakeholder participation and adaptive co-management influence the goals of biosphere reserves [17]), or their evaluations were only based on the perceptions of managers and researchers [17,18,19]. There is, therefore, a need to integrate the available studies, in order to have a more holistic understanding of the factors that influence biosphere reserve management effectiveness.

1.2. Social–Ecological Systems Frameworks and Biodiversity Conservation

Calls for an increasing integration of social–ecological systems concepts in biodiversity conservation have occurred in recent years [8,9,20,21]. Social–ecological systems (SES) are complex systems, in which the interdependence and interactions between both social and ecological systems across scales and time are recognized [22,23]. The study of SES has relied on the development of frameworks, theories and models which help to make sense out of these complex systems [24]. A framework is the structure of a theory, in which concepts and their relationships are displayed in a logical way [25]. Using a diagnostic perspective, frameworks are useful to understand the source of the poor outcomes of social–ecological systems [26]. Because frameworks are not as general as theories, or as precise as models, they are adequate to address the panacea problem in policy design [26]. Social–ecological systems frameworks differ, e.g. in the weight given to the ecological and social system, and in the conceptualization of the relationships between both systems [27]. Despite a diversity of frameworks having been developed to better understand SES [27], there is not a single framework that can be considered fully comprehensive, and different frameworks highlight different components of the same problem [28].
Ostrom’s social–ecological systems framework [29] is particularly relevant in the context of natural resource management and governance. The framework integrates the findings of a number of case studies around the world where communities self-organize to manage natural resources of which excludability is not possible, e.g., forests, fisheries and groundwater systems [29]. Ostrom’s framework has, however, some limitations that make its adaptation to conservation policies limited [9]. The main focus of Ostrom’s framework in common-pool resources has raised questions about at what point the framework can also be used with public goods and services, such as many ecosystem services [30]. Besides that, biodiversity conservation frequently imposes restrictions on natural resource use, and therefore, there is no process of extraction, which is a cornerstone in Ostrom’s framework [30]. Its emphasis on single focal situations, that develop mainly at one scale, fails to account for the linkages and dynamics of SES across scales [9]. Although some of Ostrom’s rules may be useful at larger scales [31,32], its application faces many challenges [32] due to the increased level of complexity associated with such large-scale systems [33]. Ostrom’s framework has also been criticized for its focus on institutional theory, failing to account for other perspectives on SES [9].
In order to overcome the limitations regarding biodiversity conservation issues, Ostrom’s framework has been combined with other frameworks, such as resilience theory and systematic conservation planning [9,21]. These frameworks are, however, not fully comprehensive, and build mainly on conceptual instead of empirical analysis. Therefore, a social–ecological systems framework that considers the existing empirical knowledge about integrated strategies for biodiversity conservation and sustainable development remains to be developed. We argue that biosphere reserves represent unique opportunities to develop such a framework.

1.3. Study Goals

In this study, we reviewed existing empirical literature about management and governance of biosphere reserves in order to develop a holistic framework which represents its main features. By doing this, we aim to:
(i)
Provide a more comprehensive understanding of factors related to biosphere reserve management effectiveness and;
(ii)
Contribute to a better understanding of factors, which are important for the integrated management of social–ecological systems and the conservation of biodiversity.

2. Materials and Methods

The literature used to identify the main factors associated with biosphere reserve management effectiveness was selected using existing approaches for systematic reviews [34,35]. The review process followed other systematic literature reviews [34,36,37], and included a systematic procedure for paper selection (steps 1 to 5), and the development of a category scheme (step 6) through a stepwise deductive–inductive coding procedure (Table 1). A schematic representation of the methods is also given in Appendix A.
Table 1. Review procedure adapted from other systematic literature reviews [34,35,36].

2.1. Paper Selection

Existing literature was screened in the Scopus database on 10 March 2017. Different combinations of key-words along with “biosphere reserve”, such as “management” or “governance”, were initially used. However, the inclusion of these terms in the research string was excluding potentially relevant papers, and therefore, only “biosphere reserve” was used. We also limited the search to peer-reviewed papers published in English (research string in the Appendix B). We further excluded the papers published before 1996 because their empirical work was developed before the Seville strategy [6], when the goals of biosphere reserves were mostly focused on the conservation of biodiversity than on a more integrated social–ecological approach. The resulting subset of papers (n = 2286) was screened for the definition of the inclusion criteria (Table 2).
Table 2. Description of the criteria used to decide the inclusion/exclusion of a paper.
The conformity of the papers with the inclusion criteria was made by screening the title, abstract and keywords of each paper. The full-texts were screened by the first author, and a precautionary approach was taken—if a paper was perceived to potentially present relevant information, it was included. A portion (10%) of the papers were randomly selected to be evaluated by a second reviewer (the second author), and disagreements were discussed and resolved. This helped with building a common understanding and minimizing bias during the process of paper selection [34]. The application of this criteria resulted in the selection of 186 potentially relevant papers. This subset was downloaded, and when the full-text was not available, emails were sent to the authors. The analysis of the 177 available full-texts resulted in the further exclusion of those papers that: (i) were developed in biosphere reserves that are not included in UNESCO available databases [4,40]; or (ii) included more than one biosphere reserve, or biosphere reserves and other instruments, in multiple case-studies. We acknowledge that by including papers that developed studies in only one biosphere reserve, potentially relevant literature of the field may be excluded from our analysis (e.g., [15,17,19,41]). Many of these papers were, however, included in the discussion of the framework that resulted from our analysis in Section 4.1. Further papers were iteratively eliminated because they did not comply with the inclusion criteria previously defined. The final number of papers which were used in the next step of the review was 66.

2.2. Development of the Categories

The categorization procedure followed the one proposed by Srnka and Koeszegi [36], which is broadly represented in Appendix A. Only the results section of each paper was coded, using NVivo (QSR International, Doncaster, Australia; version 11.4.1.1064). In order to identify general themes, we analyzed the results sections of the papers, looking for repetitions, similarities and differences, and causal relations in the text [42]. Three main subjects emerged: factors influencing management/governance, management/governance processes, and outcomes. The coding started with an inductive analysis, where codes were assigned to thought units, i.e., text chunks without a pre-defined length but in which a main idea is expressed [36]. The codes were organized in the general topics previously identified; however, along the coding procedure, the main categories changed to reflect the topics that were emerging from the data. The codes were developed in hierarchies in order to obtain a detailed and precise category scheme [36]. The coding was performed in a stepwise procedure, in which the data of an increasing number of random papers was assigned to codes. At each step, the coding scheme was reviewed in order to incorporate the new data from the group of papers just coded, but at the same time keeping it at a manageable size. In parallel, existing literature was used to help make sense of the data (deductive approach). When about half of the papers were coded, the scheme had four categories and 113 sub-categories. The scheme continued to be interactively changed and simplified, a process that was supported by the discussion of the coding process between the authors of this paper, including comparing different coding solutions, and by checking with existing literature. A second round of coding was performed in which the first papers coded were coded again. The coding scheme continued to be interactively changed in a similar way as in the previous steps, until it was perceived to capture most of the information in the papers. About 20% of the papers were coded a second time (recursive step). The final scheme, with four categories and 53 sub-categories, was found to be the most relevant and plausible solution; however, other criteria could have been conceptualized out of the available data. Clear definitions were provided to categories and sub-categories.

3. Results

The systematic selection of the papers resulted in the inclusion of 66 case-studies for further analysis, i.e., less than 3% of the peer-reviewed English literature with the term “biosphere reserve” present in the title, abstract or keywords. Reviewed papers are listed in Appendix C. As a result of the categorization procedure, four categories and 53 sub-categories, which represent factors related to biosphere reserve management effectiveness, were defined. The interactions between these factors across scales result in a dynamic system, which is generally depicted in Figure 1.
Figure 1. A framework to understand biosphere reserve management effectiveness. The figure represents the four core categories that emerged from the empirical literature about the management and governance of biosphere reserves, and highlights the interactive nature of factors influencing management effectiveness across different scales. Core category size is representative of the number of sub-categories included: 18 in the process, 17 in the context, 13 in the outcomes and five in the inputs. Different factors are represented by the different intensity of color of each category and distributed across different scales. The lack of clear boundaries between factors in different categories and scales is represented by the dashed circles. The area of the circles is only illustrative, since information about the number of factors that are important at each scale have not been systematically accessed.
Four core categories were developed: context, inputs, process and outcomes. In the context category, we include place-based and multiscale features, which their presence or absence shape the settings where biosphere reserves are implemented. The inputs category embraces material and immaterial investments in the process. The process category includes factors related to management and governance per se, i.e., those actions and mechanisms which are associated with biosphere reserve decision-making. Finally, in the outcomes category, we included the impacts and benefits in social and ecological systems that followed the implementation of the process. These factors were associated with sub-categories, as depicted in Table 3 and defined in Appendix D.
Table 3. Categories (context (C), process (P), inputs (I), outcomes (O)) and sub-categories (C1, C2, etc.) that emerged from the literature about the management and governance of biosphere reserves. Sub-categories are organized in thematic groups (in quotation marks) for better understanding.
A total of 53 sub-categories were identified: 17 in the context category, 5 in the inputs category, 18 in the process category and 13 in the outcomes category. “Context” includes features related with social systems, such as the organizations and institutions in place; human–nature interactions, such as human–wildlife conflicts; and ecological features, such as the presence of species with high mobility (e.g., migratory species). “Inputs” includes the attitudes and beliefs actors express in relation to the process; material and immaterial support/opposition; and the type of knowledge (scientific and/or experiential knowledge) that was used as an input for the management/governance. “Process” relates mainly with decision making procedures and the instruments used for management, but also with its scale (project vs biosphere reserve management/governance), and process spatial design (features related with, for example, spatial zoning, area and location). “Outcomes” reports economic benefits and impacts, such as the increase/decrease of jobs; positive or negative changes linked with social and cultural features, such as empowerment and creation/deepening of inequalities; and environmental benefits and impacts, such as the increase/decrease of endangered species populations.
The factors that influence biosphere reserve management effectiveness occur at different scales. At an international scale, a financial crisis, included in the sub-category economy and politics (C7), was reported in the study of Trillo-Santamaría and Paül [43]. National government material and non-material support (included in the sub-categories I3 and I4) was important in the study of Devine [44]. The same study reported on the local degradation of natural assets inside the reserve (sub-category C12—impacts on natural resources). Factors also occur at different time scales—impacts of colonialism (sub-category historical factors; C5) were identified to still be important today in the study of Lyon and his colleagues [45]. A diversity of actors was also covered, of which relevance varies between different factors. Examples of relevant actors in different sub-categories include: beliefs of managers of biosphere reserves (sub-category I2, [46]); material support of the national government (sub-category I3, [43]); and economic impacts in local communities (sub-category O8, [47]). In Appendix E, a scheme demonstrating how the different components of the framework can interact is given.

4. Discussion

4.1. Factors Influencing Biosphere Reserve Management Effectiveness

In the proposed framework, we identified 53 sub-categories which represent different factors that influenced biosphere reserve management effectiveness around the world. We included outcomes as influencing factors, because of the feedback between them and the other sub-categories. The high number of factors in the proposed framework combines aspects of different global and regional studies, which highlight the importance of factors related to the management/governance process [18,19], the inputs, and the socio-economic and institutional context [48,49]. In addition, our framework considers the importance of contextual variables related to the existing ecological characteristics, and to the interaction and interdependence between the ecological and social systems. The reviewed literature report conflicts that emerged because of restrictions to natural resource use were applied in contexts where communities are highly dependent on them for their livelihoods (e.g., [50]). In other studies analyzed, existing conflicts between humans and wildlife (for instance, the depredation of livestock by predators [47]) required some interference by managers, such as compensation for the economic losses. In both situations, managers face challenges that may not exist in other biosphere reserves and therefore have to correspondingly adapt the management/governance process.
Many factors related to the way that biosphere reserves are managed and governed were identified in the reviewed literature. The implementation of biosphere reserves is taking place by using a variety of instruments related to the MAB programme goals [3,6]. Biodiversity conservation and the sustainable use of natural resources is promoted through conservation and habitat management initiatives (P11), restrictions (P12), enforcement and control (P13) and incentives (P14). Incentives (P14) and economic development (P15) are related to the biosphere reserve’s sustainable development goals. The logistic function of biosphere reserves is being implemented through research and monitoring (P16) and information and capacity building (P17). Although we have not accessed if all biosphere reserves are working towards the three goals, the identification of factors related to instruments to achieve the sustainable development and logistic support goals is indicative that there are already biosphere reserves moving from their previous conservation focus [9].
According to the MAB programme [3], community participation should take place at many stages of biosphere reserve implementation. Many studies have highlighted the importance of public participation for the success of biosphere reserves [17,18,19], and ours is no exception (sub-category P4). However, the way participatory processes are developed (P5), including who participates, in which moments and the available information, was also found to be important (e.g., [51]). Other relevant factors related to the decision making include the way the process was initiated (top-down, bottom-up or mixed; P3), the degree of centralization of the management body (P6), coordination and leadership (P7), and which institutions (P8)—formal or informal—are mainly used for management.
In the Section 1.1, we discussed how the assessment of biosphere reserve management effectiveness is hampered by the lack of an adequate evaluation mechanism and indicators. We overcame this by inductively identifying the changes resulting from the implementation of the process instead of evaluating effectiveness against some predetermined goals. We identified remarkable achievements following biosphere reserve implementation, such as empowerment (O3) and learning (O5). We followed existing definitions of empowerment [52] to include in this sub-category those situations in which local communities are given the responsibility and decision making of managing their own resources. This was reported in the Sian Ka’an Biosphere Reserve in Mexico, where fishermen participated in the definition of new no-take marine zones [53]. Evidence of social and transformative learning (as defined by Armitage and his colleagues [54]) were reported in the Kristianstads Vattenrike Biosphere Reserve in Sweden. In this biosphere reserve, politicians have changed their perceptions about the importance of informal gatherings, and developed new processes accordingly, such as the “environmental breakfasts”, to discuss the environment with farmers [55].
The implementation of biosphere reserves is also associated with negative social and environmental changes. In the Waterberg Biosphere Reserve (South Africa), up-scale tourism, based on the creation of luxury spaces where “ordinary man” can’t afford to visit, is being developed [45]. We included this unequal access to the cultural benefits arising from ecotourism development in the inequality subcategory (O10). The same study reports environmental impacts (O13) deriving from the development of this kind of tourism; in particular, the unsustainable use of water. We believe this example is demonstrative of the need for more clear guidelines regarding what “sustainable development” means in a biosphere reserve: at what environmental expense can development take place? Is equality a less important goal than providing environmental and economic benefits?
During the framework development, the importance of three main scales emerged: local, regional–national and international. We identified factors related to natural and social processes which are relevant at regional or global scales, e.g., migratory species life cycles and aspects related to globalization. The importance of scale and cross-scale dynamics are increasingly recognized in environmental management, in particular the mismatch between biophysical systems and their management and governance structures [56,57]. Biosphere reserves are in a privileged position to address scale mismatches, given their global network and their role as arenas where a diversity of stakeholders at different scales interact. Studies on collaboration networks may provide useful insights in this regard by analyzing cooperation and communication strategies between the different actors [58,59].
A social–ecological system understanding of biosphere reserve management effectiveness, as displayed in our framework, revealed many factors that were overlooked in previous studies. We acknowledge that our framework is not fully comprehensive, and that different criteria could have been conceptualized out of the available data. The integration of more studies, including from grey literature or potentially sub-represented regions, would be important. A better conceptualization of some sub-categories e.g., attitudes (I1) and beliefs (I2), is also needed to avoid confusion between them. Despite that, we consider that the framework brought a higher tangibility to some factors, in particular those related to how biosphere reserves are being managed and governed, and which contextual factors could be important, which are frequently referred to at a high abstract level (e.g., [48]). Furthermore, this framework shows that social and ecological benefits and impacts have been associated with the management and governance of biosphere reserves, which, to our knowledge, has never been systematized. We acknowledge that a better understanding of the factors that consistently led to benefits or impacts of biosphere reserve management and governance is necessary; however, at this point, these cause–effect relationships were not possible to systematize. Future work is needed in order to better understand the system dynamics. Also, the spatial distribution of the sub-categories identified would lead to a better understanding of the main patterns related to the context, inputs, process and outcomes of biosphere reserve management and governance. The framework is, therefore, a first step towards a more holistic systems analysis of biosphere reserve management effectiveness. It can further inspire management and governance of biosphere reserves at different scales, e.g., through the definition of specific third-level variables, the framework may provide a structure for the development of criteria for the establishment and evaluation of biosphere reserves, as Pool-Stanvliet and her colleagues [60] have developed for biosphere reserves in South Africa. It may also be useful to systematically report experiences with management and governance, as Plummer and his colleagues [61] have proposed in relation to adaptive co-management processes. Such systematization can provide a better understanding of factors associated with positive and less positive outcomes and, eventually, the identification of the factors in the system that may leverage biosphere reserves success. The framework also provides a structure to comprehensively analyze literature about management and governance of biosphere reserves, and identify major trends and research gaps. Considering its operationalization, the framework should be regarded as a flexible tool in which sub-categories may be added or eliminated, or some may even change between the four main categories, in order to better address the challenge at hand.

4.2. Biosphere Reserve Framework and Social–Ecological System Frameworks

Our framework connects different fields of knowledge and provides a comprehensive understanding of the factors related to sustainable management and governance of social–ecological systems. It is a social–ecological framework in which dynamics of social, ecological or social–ecological aspects are linked across different scales and time. It has empirical support since our categories emerged from the results section of previously selected peer-reviewed empirical papers. The mixed inductive–deductive coding process allowed the incorporation of previously developed ideas from social–ecological systems literature (the Ostrom social–ecological systems framework [29]), social–ecological systems and protected areas [9,20], biosphere reserve effectiveness [48], and environmental management [62]. Other references used are identified in the sub-categories description (Appendix D). Because our framework included studies from a diversity of researchers, it embraces their different world views, research strategies and methods, making it more comprehensive than a single-study analysis. This diversity is required in the study of complex systems because it allows the incorporation of different perspectives in the management and governance of systems that are highly uncertain and poorly understood [10]. We do not claim, however, that our framework is value-free, and this is particularly relevant considering that the categorization process was primarily developed in an inductive way. In order to increase the reliability of the review procedure without compromising its validity, we included multiple reviewers in both the selection of the papers and categorization process and we carefully disclosed the coding procedure, as recommended by Srnka and Koeszegi [36]. Our framework follows, therefore, the major criteria Cumming [63] has proposed for the development of theory-driven social–ecological system frameworks. Despite being accomplished through the analysis of biosphere reserve management and governance, the proposed framework may also contribute to the advancement of theory in social–ecological systems.
Compared to other SES frameworks, we identified the same number of sub-categories as Ostrom’s second-level variables [29]. We found many variables in common with Ostrom, e.g., the mobility of resources, monitoring and sanctioning processes, socio-economic attributes of users, norms/social capital and the importance of the resource. Ostrom’s framework places more emphasis on the ecological variables and variables related to the process of extraction (e.g., harvesting levels and the number of users). We found that existing conservationist values are also important because it triggers the interest and actions of actors at different scales, which will change the local social settings. We also identify many variables related to existing power relations, which are absent in Ostrom’s framework (e.g., historical factors, power issues and inequality). These differences can be related to the broader scientific perspectives we have embraced in the literature included, comparing to Ostrom’s roots in an institutional analysis. In Table 4, we provide a comparison between some aspects that may explain the differences between both frameworks.
Table 4. Aspects of the Ostrom’s [29,64] and biosphere reserve frameworks which may explain the differences between them. The comparation is performed with Ostrom’s initial work and excludes more recent updates to the framework, e.g., [30].
Our framework is also consistent with other social–ecological frameworks. We agree with Cumming and his colleagues [24], who emphasize the relevance of scales for the effectiveness of conservation strategies. It is also consistent with the framework developed by Plummer and his colleagues [61], concerning adaptive co-management initiatives. Using a similar structure, based in settings, antecedents, process and outcomes, the authors developed a set of sub-categories, which are particular important regarding the processes of learning and collaboration. Both frameworks differ in respect to many of the sub-categories identified and how are they arranged in the four main categories. We also provided a more exhaustive identification of most of the sub-categories, and a clear recognition of the importance of the context, feedback and scales across all categories. Therefore, besides being consistent with the frameworks discussed [9,29,61], our framework adds new information, and provides a more holistic perspective on social–ecological systems management and governance.

5. Conclusions

Current and predicted high rates of biodiversity loss [66,67], along with high variability, uncertainties and ignorance about the ecological systems [68] constitute a large challenge for the sustainable management and governance of social–ecological systems. Biodiversity conservation strategies are required because of the role biodiversity plays in the provision of ecosystem functions and structure, from which human well-being ultimately depends [68], but also because of the value that biotic resources have on their own. Our framework reveals that the cross-scale interlinkages between those social and ecological systems where conservation strategies are implemented cannot be overlooked, contributing a better understanding of management and governance of social–ecological systems along with the conservation of biodiversity. Through the integration of a diversity of empirical studies about biosphere reserve management and governance, we were able to develop a framework which integrates multiple world views, research strategies and methods, providing a more holistic perspective of social–ecological systems. Our framework reveals that a big diversity of factors potentially influence the capacity of biosphere reserves to achieve their goals. Biosphere reserves are not islands—they are influenced by the interlinkages of social and ecological contextual factors at different spatial and temporal scales. They are dependent on a set of inputs to be managed and governed, which are also associated with a diversity of scales and actors. The varied strategies used to manage and govern social–ecological systems in biosphere reserves are also important, because they trigger social and ecological changes, and not only in a positive way. The framework we propose may provide a structure to further analyze such complex system dynamics, and potentially reveal the sources of poor and successful outcomes in biosphere reserves and social–ecological system management and governance.
Biosphere reserves may offer a unique opportunity to understand pathways for more sustainable social–ecological systems. Their ambitious goals match the huge challenges we currently face, including halting biodiversity loss and ending poverty. We hope the proposed framework contributes a more holistic, systems understanding of biosphere reserve management and governance, and to its effectiveness, i.e., “a world where people are conscious of their common future and interaction with our planet, and act collectively and responsibly to build thriving societies in harmony within the biosphere” [3].

Author Contributions

A.F.F. conceptualized and designed the study with the support of R.S. and H.v.W.; A.F.F., R.S., H.Z. and H.v.W. developed the methodology; A.F.F. carried out the review procedure with the support of H.Z. and H.v.W.; A.F.F. wrote the first draft of the manuscript; A.F.F., H.Z., R.S. and H.v.W. reviewed and edited the manuscript.

Funding

The first author is supported by the Fundação para a Ciência e a Tecnologia (FCT), under the grant PD/BD/114050/2015, and CENSE—Center for Environmental and Sustainability Research, financed by FCT (UID/AMB/04085/2013). The second author is supported by the State of Lower Saxony (Niedersächsisches Ministerium für Wissenschaft und Kultur) financed from Nieders. Vorab within the research project “Bridging the Great Divide” (Grant Number ZN3188).

Acknowledgments

Thanks to the Portuguese MAB Committee, and the MAB community that participated in the euromab2017 and MAB Youth Forum, for the enthusiastic discussions about biosphere reserves. We also thank Stefan Partelow for the insights about the Ostrom framework, and the anonymous reviewers, for the comments on earlier versions of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Appendix A

Depiction of the major steps of the two stages of data analysis: the selection of the papers and the categorization process (adapted from the study of Srnka and Koeszegi [36]).
Figure A1. Main steps of data analysis.

Appendix B

Research string used to identify studies for review in Scopus database
TITLE-ABS-KEY (“biosphere reserve”) AND (LIMIT-TO (DOCTYPE, “ar”) OR LIMIT-TO (DOCTYPE, “ip”)) AND (LIMIT-TO (LANGUAGE, “English”))

Appendix C

Table A1. Reviewed articles. NA—digital object identifier (DOI) not available.

Appendix D

Category and sub-category definitions
Table A2. Definition of the main categories related to the management and governance of biosphere reserves (BRs).
Table A3. Definition of the sub-categories included in the “Context” category. BR—biosphere reserve.
Table A4. Definition of the sub-categories included in the “Inputs” category. BR—biosphere reserve.
Table A5. Definition of the sub-categories included in the “Process” category. BR—biosphere reserve.
Table A6. Definition of the sub-categories included in the “Outcomes” category. BR—biosphere reserve.

Appendix E

Demonstration of how the components of the proposed framework can interact with each other. The figure is illustrative of some relationships between factors found in the study of Lyon and his collegues [45]. Feedback between factors within the same category were omitted for better visualization of interactions between the different categories.
Figure A2. Demonstration of how the components of the framework interact with each other through the presentation of some features of the study of Lyon and his collegues [45].

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