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Article

Monitoring and Assessment of Protected Areas’ Management Capacities in the Republic of Serbia

1
Assembly of the Autonomous Province of Vojvodina, Novi Sad 21000, Serbia
2
Faculty of Technical Sciences, University of Novi Sad, Novi Sad 21000, Serbia
3
Institute for Nature Conservation of Vojvodina Province, Novi Sad 21000, Serbia
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(3), 666; https://doi.org/10.3390/su11030666
Submission received: 31 December 2018 / Revised: 21 January 2019 / Accepted: 22 January 2019 / Published: 28 January 2019
(This article belongs to the Section Sustainable Agriculture)

Abstract

:
The necessity to measure the effectiveness of the management of protected areas has been widely recognized. This paper aims to show a realistic state of affairs in protected area management in the Republic of Serbia on the basis of the results of managers’ monitoring and their obligations stipulated by law. It will also answer questions on which form of management is optimal, by means of a proposed assessment model. The research has been performed on a sample of 30 sensu stricto protected areas, managed by 21 different managers. For the purpose of ranking and comparing the degree of protected area management effectiveness, the use of a normalized aggregate function (scoring) has been introduced. Results show that about half of the analyzed protected areas have no adequate management in terms of legally prescribed management criteria, as well as that management effectiveness is related to several external factors. The authors conclude that meeting all criteria stipulated by law, and the existence of professional staff represent fundamental factors for the effective management of protected areas.

1. Introduction

Today we witness a crisis of biological diversity due to dramatic changes in the environment, primarily as a result of direct or indirect human activity. Reduction of biodiversity has, in a great measure, affected the following three aspects—genetics, species, and ecosystems. One of the ways to try to conserve biodiversity is to place parts of nature under protection. In recent decades, a lot has been done in the field of nature conservation, with the result that by 2014 some 209,000 areas were protected worldwide. This represents 15.4% of all terrestrial and freshwater ecosystems, as well as 3.4% of oceans [1].
Even though there has been an increase in the number of protected areas worldwide [2], the loss of biodiversity is still in progress [2,3,4]. One of the reasons for this is the fact that numerous protected areas are not managed adequately [5,6]. It is precisely for this reason that many protected areas are in danger of losing the values for which they had been primarily placed under protection [7].
The necessity to measure the effectiveness of protected area management has been widely recognized internationally since the sole action of declaring an area as protected does not necessarily result in the successful implementation of protective measures, neither in developed nor in developing countries [8,9,10]. At present, over 9000 assessments of protected areas’ management effectiveness have been conducted [11], mainly through Management Effectiveness Tracking Tool [12], and the Rapid Assessment and Prioritization of Protected Areas Management [13]. Nevertheless, previous analyses have shown that in as few as 24% of assessments, the protected area management was good, 36% had basic management, 27% had large management deficiencies, while 13% of protected areas lacked management altogether [14].
In the context of protected areas, Cifuentes et al. [15] (p. 11) define management as, “The combination of actions with a legal, political, administrative, research, planning, protective, coordinating, interpretative or educational character, that results in the better use and permanence of a protected area, and the accomplishment of its objectives.” International Union for Conservation of Nature (IUCN), i.e., World Commission on Protected Areas (WCPA), defines the management effectiveness assessment as “...the assessment of how well protected areas are being managed–primarily the extent to which management is protecting values and achieving goals and objectives” [16] (p. 1).
A significant threat to protected areas is that certain protected areas have only weak regulations and enforcement capacity [17]. These protected areas are referred to as ‘paper parks’ [18] since it is considered that they are protected ‘only on paper’, and they often fail to accomplish the goals of nature conservation due to the lack of legal and financial support [14,19,20].
From this fact, a necessity arises to comprehend the objective state of management capacities to create a realistic picture of the state of management potential. Without such analysis, it is impossible, in a strategic sense, to create strategies for the further development of protected area management. Thus, the aim of this paper is to show a realistic state of affairs in protected area management in the Republic of Serbia on the basis of the results of managers’ monitoring and their obligations stipulated by law, and to answer the questions as to which form of managementis optimal based on the existing ones and considering the analyzed variables. The relevance of studying this subject arises from ascertaining that three out of the five most common threatening factors belong to deficiencies in management and policy, including inadequate legislation, poor administrative (management) practices, as well as lack of funding and staff, all of which are much more prevalent than external threatening factors [21].

2. Situation in the Republic of Serbia

The Republic of Serbia is located in southeastern Europe with a surface area of 8,836,100 ha. The total surface area of protected areas occupies 5.91% of the country’s territory (522,120 ha) [22]. In Serbia, the system of conservation of nature is defined in detail in the Law on Nature Conservation, which fully prescribes the protection and conservation of nature, biological, geological, and landscape diversity [23]. The Law contains provisions relating to the management model, manager selection, drafting of founding documents, plans, programs and management measures, funding models, and type and composition of the governing body.
According to Article 67 of the Law, it is stipulated that protected area management is an activity of public interest, and that a protected area can be managed by a legal entity (i.e., manager) that meets professional, human resources, and organizational conditions for the activities of conservation, improvement, and promotion of natural and other values, and the sustainable use of protected areas. Whether these conditions are met is established by the Ministry, i.e., the body in charge for the affairs of environment conservation of an autonomous province or of local self-government, within the process of preparing the act of declaring protected areas.
The Law (Article 68) strictly prescribes the manager’s obligations regarding protected area management. Some of these obligations include guarding the protected area and implementing the prescribed conservation regimes; adopting the management plan and the rulebook on interior order and guarding specified by the decision on conservation; adopting the rulebook on the charges act, etc. Unfortunately, the Law does not prescribe the body charged with monitoring managers’ functions, resulting thereby in no control regarding meeting the obligations stipulated by law for protected area managers. Manager obligations cannot be met if human resource prerequisites are not met, i.e., if there are no fully trained and professional staff, as well as a thoroughly elaborated operational program with realization capabilities for numerous activities, for the purpose of protected area sustainable management.
Regarding the analysis of the work of legal entities operating in the field of protected area management in the Republic of Serbia, from the aspect of management science, one should take into account specific data, statistics, analyses, trends, predictions, forecasts, conclusions or statements of experts, or other kinds of evidence to serve as indicators of current or expected events in relevant sectors [24]. Since the effectiveness assessment of protected area management is a relatively new concept in Serbia, so far only two studies have been conducted. The first one was ‘Rapid Assessment and Prioritization of Protected Area Management’ (RAPPAM) (see [25]), by the Ministry of Environment and Spatial Planning in cooperation with WWF, in 2009. The study was done based on responses by the protected areas’ representatives, regarding planning, investing, and management process. Stated positive sides are as follows: good planning, legal security, and infrastructure. Stated weak points are the lack of finances and human resources. The level of cooperation with local communities is, in most areas, relatively low, particularly in terms of joint planning and decision making. The results of scientific research are often inaccessible, whereas in some cases they do not correspond to the area’s requirements [26].
According to the Law on Nature Conservation in the Republic of Serbia, the Ministry is obliged to, once every five years, submit a Report to the Government on the State of Nature in the Republic of Serbia, prepared by the authorized expert institutions. In this manner, after more than 5 years following the RAPPAM, a ‘Report on the State of Nature for the Period 2010–2014’ was prepared, based on similar questionnaires. This is the second and most recent evaluation of protected area managers’ performance done so far.
Nevertheless, in performing the analysis of the protected areas managerial capacities, it is primarily necessary to do analysis as to which protected areas meet the criteria stipulated by law regarding management, and which fail to do so, and only then proceed with the next stage of research—management effectiveness assessment. Effectiveness assessment is the following step of the analysis, naturally under the assumption that all legal prerequisites have been previously met regarding the protected area management. The authors of this paper have, therefore, postulated two research objectives:
(1)
Monitoring—to analyze if and to what extent legal entities meet the criteria for performing tasks of protected area management for the period 2010–2014;
(2)
Assessment—to assess the management effectiveness based on the existing parameters, as well as to explore the correlation between the management effectiveness on one side, and the external properties of the protected areas on the other side.

3. Methods and Data Analysis

The paper is based on data processed in the research conducted on the territory of the Republic of Serbia for the purpose of drafting the Report on the State of Nature in the Republic of Serbia for the Period 2010–2014 (see [27]). The research was conducted using the data provided by protected area managers, on the basis of a questionnaire. The questionnaire was created to respond to the needs of various target groups of managers, (bio-)geographic region and protected area category [28]. Moreover, the questionnaire has been standardized by the authorized expert institutions, harmonized with the regulations of the Republic of Serbia [23] (and indirectly with EU regulations that were incorporated into the Law [23]), whereas validation has been obtained by National Assembly of the Republic of Serbia. The research was conducted in the period of February to May 2015. For the purpose of this paper, the data from two domains were processed: (1) General Data on the Protected Area’s Manager and (2) Management Acts. The collected data was first subjected to descriptive data analysis. After that, a model for the management effectiveness assessment was constructed and applied to the sampled protected areas. Finally, the relationship between specified external factors and the assessment results was examined. The conceptual framework of the research is given in Figure 1.

3.1. Study Site Selection

Bearing in mind that the manner of management and the scope of obligations of the manager greatly differ depending on the size and type of the natural resource [29], a division has been made to allow results to be more easily processed and displayed. Protected areas established for the purpose of conserving the ecological and geological values are named protected areas sensu stricto (i.e., in a narrow or strict sense) [27]. These are natural entities whose surface exceeds 100 ha. Protected parks, conserved for the reason of created horticultural values, mainly located within urban areas and generally smaller than 100 ha, have been singled out. The singular protected areas, namely protected trees, have also been singled out.
The research has been performed on a sample of 30 sensu stricto protected areas (Figure 2), managed by 21 different managers. Some individual managers often administrate several protected areas (see Appendix A, Table A1). Their total surface area is 135,368 ha or 30.43% of the entire sensu stricto protected areas in the Republic of Serbia. These protected areas are located within the Pannonian biogeographic region, which administratively corresponds to the Autonomous Province of Vojvodina.
The majority of these protected areas were declared between 1993 and 2002, on the basis of solutions offered by the Law on Environment Conservation from 1991, from which the 2009 and 2016 Law on Nature Conservation also originated. Declaration acts have been revised and harmonized in accordance with the newest legislation. Researched sensu stricto areas belong to various protected areas categories (six of eight categories, according to national categorization). These are as follows: special nature reserves, national parks, protected habitats, landscapes with outstanding features, nature parks. Comparison of these national categories with the IUCN categories has indicated that the protected area categories are not entirely compatible [30] (Table 1). Conservation regimes have been established in all the listed categories [31].
The majority of the analyzed conserved habitats, which represent the largest protected areas, can be found in hilly areas and in the wide floodplains of Danube and Sava rivers basins. In areas favorable for the development of agriculture, protected areas are significantly smaller and often comprise a larger number of patches. Only four protected areas are larger than 10,000 ha. There are 11 protected areas whose size is between 1000 ha and 10,000 ha, whereas the greatest number of protected areas, 15 of them, are between 100 and 1000 ha in size.
There are various types of habitats within the examined protected areas. Among them, most prominent being euro-siberian steppe woods with Quercus spp., subcontinental peri-pannonic scrub, pannonic sands, loess steppes, sand steppes, salt marshes, salt steppes, and saline grasslands, as well as numerous wetland complexes [32]. In the Pannonian biogeographic region of the Republic of Serbia, there are approximately 494 species of vertebrates, out of which 360 species are strictly protected [33]. There are 4092 invertebrates, out of which 73 species are strictly protected. The total number of plant species is approximately 1750, out of which 149 species are strictly protected [33].
The Pannonian biogeographic region of the Republic of Serbia has significantly altered natural characteristics due to anthropogenic activities, greatly pressurizing the functionality of the ecosystems and decreasing their resistance to other influences. Some of the more significant threatening factors are alterations of purpose or manner of land usage. Impact on ecosystems is through conversion, degradation, and spatial connection alterations, with fragmentation consequences, erosion, compression, eutrophication, etc. According to [27], as many as 90% of protected areas experience unfavorable changes of species composition due to succession.

3.2. Variable Selection

The relevant variables for monitoring and assessment of management capacities are presented in Table 2. They are classified into two groups and three levels, according to their obligatory status and assumed importance.
Group I—variables representing the foundation for manager’s functioning: existence of legal acts further stipulating acts to be adopted by the manager; manager’s human resource capacity;
Group II—variables representing the implementation of legally prescribed obligations in the field.
First group variables (Level 1 and Level 2) are as follows.
Protected area management plan determines the manner to conduct conservation, usage and management of the protected area, guidelines and priorities for protection and conservation of natural values of protected areas, as well as to give development guidelines, fully observing the needs of the local population. The plan is adopted for a period of 10 years and represents a strategic management plan for every protected area [34].
Annual management plan is a document which operationally implements the strategy envisaged in the Management plan.
Rulebook of charges represents a binding legal document adopted by the manager of a protected area. It defines the fee to be paid on various grounds by the users of the protected area (tourist contents, hospitality, usage of wild flora and fauna, usage of motor vehicles, etc.). These funds represent the manager’s legal income to be allocated to the purpose of protected area conservation and improvement.
Rulebook on protected area’s interior order and guarding is a legally prescribed document obligatory for every protected area manager. This document determines the organization of ranger service, guarding of the protected area, equipment, and the means necessary for guarding and maintenance, and behavior and movement of visitors and users of the protected area.
Professional staff within the protected area manager’s organization presumes that the manager, as a legal entity, must be capable of performing conservation, improvement, promotion, and sustainable development of the protected area [35]. The Rulebook on the conditions to be met by protected area managers stipulates that manager must have an organized service composed of at least one employee for nature conservation, one employee for project management, and one employee for legal and economic affairs for the purpose of protected area manager.
Ranger service within the protected area presumes that the protected area manager must have rangers employed whose role is to maintain internal order within the protected area, in accordance with the rulebook on internal procedures and guard services. The manager of the area is obliged to provide at least one ranger per a 3000 ha surface.
The above-listed variables represent the basic legal presumptions to be fulfilled by protected area managers to qualify for assessment of their effectiveness. The management plan should represent the basic management plan of a protected area, as well as the indispensable management element. Moreover, one can hardly discuss conservation of biodiversity if the manager has no professional staff and ranger service, which is why these three variables are considered to be condicio sine qua non and are deemed as Level 1 variables.
Level 2 variables, namely Annual management plan, Rulebook of charges and the Rulebook on interior order and guarding are legal documents that can be adopted during the protected area’s operation period, i.e., it is legally possible, although with some difficulties, to have a functioning protected area without these documents.
Second group/Level 3 variables indicated in Table 3 represent activities to be performed by protected area managers in accordance with the law and bylaws, i.e., these are the primary operational activities of conservation and improvement of protected areas, to be conducted in the field.
Projects enable financing of the activities for the purpose of protected area’s biodiversity conservation. Moreover, the number of projects represents an indicator of the manager’s and professional service’s capacity to attract funds and improve conservation. Bearing in mind that funds allocated by the state or local self-governments are often insufficient, this aspect of funding is additionally important for the conservation and improvement of the protected area.
Participating in education on EU integration in the field of nature conservation. Within the last couple of years, significant nature protection effort in the Republic of Serbia has been aimed at meeting the obligations of the EU accession process. Apart from the implementation of international conventions, directives, and binding guidelines into domestic legislation, it is necessary to increase the number of protected areas, expand the national ecological network, and establish the Natura 2000 ecological network. This represents a great challenge and obligation, which is why managers should familiarize and educate as many employees as possible.
Monitoring of species, i.e., planned, systematic, and continuous monitoring of the state of nature, i.e., parts of the biological, geological, and landscape diversity, as a part of an integral system of monitoring the state of the environment within space and time [36], is of immeasurable value for effective management of protected areas. In case there is no such monitoring, there is no possibility to follow the effects of conservation of nature in the field. Monitoring is directly connected with the databases, i.e., best effects would be achieved if the collected data were immediately entered into the e-databases, where their processing would take place as well.
Educational and promotional programs are, legally speaking (Article 68 of the Law on Nature Conservation), one of the primary activities of the protected area’s manager. Protected areas have strong educational aspects, and those should be places where the young are educated and brought up in the spirit of preserving biodiversity. This is the task to be carried out by the professional staff of the protected area manager.
Tourist paths, visitors’ centers, organized tours for visitors are within the field of tourism [37]. Tourism management within the protected area is hugely important since tourism in nature can be sustainable only if natural values are preserved. It is important to learn about the development of tourism, visitors’ behavior and interests, to better plan the facilities and activities within the protected area and define the correct management strategies [38].
E-databases. It is preferred that each protected area develops and improves an e-database on its key natural values, data on protection activities carried-out conservation, and other activities on their territory, all for the purpose of monitoring and evaluating and proposing improvement measures. Pursuant to the Article 50 of the Law on Nature Conservation, the Registry of protected areas represents an e-database on protected areas, etc. Comprehensive data is required even across the administrative borders, which is why it is important to ensure the flow of data between the organizations [39] in the area of conservation of nature.
These are the indispensable elements based on which one can judge whether a protected area is managed correctly or not [40]. It is also important to note that one of the more significant factors for selection of these variables is that all the listed elements are measurable and easily checked.
To better evaluate management effectiveness, additional properties have been analyzed as well: the protected area’s surface area, the percentage of professional staff out of the total number of employees, number of rangers per surface area, level of protection according to IUCN and national categorization (see Table 1); primary activities (nature conservation or other) and manager’s organizational type (public companies, NGO, private companies, state institutions). These variables are referred to as external factors since they were not included in the assessment model.

3.3. Empirical Analysis

For the purpose of ranking and comparing the degree of protected area management effectiveness, a normed aggregate function S (scoring) has been introduced, allocating to each observed protected area a numerical value from 0 to 100. The assessment model (1) was built as a linear combination of the following variables.
  • A1: 1—if the Protected area management plan existed; 0—otherwise;
  • A2: 1—if Professional staff consisted of at least three employees; 0—otherwise;
  • A3: 1—if the Ranger service consisted of at least three employees; 0—otherwise;
  • B1: number of Annual management plans in 2010–2014 period, divided by five;
  • B2: 1—if the Rulebook of charges existed; 0—otherwise;
  • B3: 1—if the Rulebook on protected area’s interior order and guarding existed; 0—otherwise
  • C1: number of projects classified into five categories (values 0–4). Value 0 corresponds to 0 started or completed projects in 2010–2014 period, whereas values 1 to 4 correspond to quartile distribution of numbers of started or completed projects;
  • C2: 1—if Monitoring of species was performed; 0—otherwise;
  • C3: 1—if Participation in the education of EU integration in the field of nature conservation was performed; 0—otherwise;
  • C4: 1—if Educational and promotional programs were performed; 0—otherwise;
  • C5: 1—if Administrative e-database existed; 0—otherwise;
  • C6: 1—if Biodiversity e-database existed; 0—otherwise;
  • C7: 1—if Tourist paths existed; 0—otherwise;
  • C8: 1—if Visitors’ center existed; 0—otherwise;
  • C9: 1—if organized tours for visitors existed; 0—otherwise.
S = ( 5 i = 1 3 A i +   3 j = 1 3 B j +   k = 1 9 C k ) * 100 / 36
In Equation (1), weights 5/3/1 are allocated to variables belonging to levels 1/2/3 (see Table 2) to represent their assumed relevance in the model.
Empirical analysis of the results encompasses the descriptive and non-parametric comparative statistical methods, as well as graphical rendering of the results. The data has been statistically processed through the Statistica 13.0 program. In comparative tests, differences corresponding to the p-value less or equal than 0.05 were considered statistically significant.

4. Results

Primary characteristics of the observed properties, based on which the evaluation of protected area management effectiveness has been measured, are provided in Table 3, where one can see the portion of representation of the selected variables in the observed sample of 30 protected areas.
Table 3 indicates that none of the observed variables is universally represented, not even those representing minimal conditions. Out of Level 1 variables, most represented is the management plan (at 86.67% protected areas), whereas the least represented is the adequate professional staff of at least three employees (at 56.67% protected areas). Out of Level 2 variables, i.e., other law-stipulated conditions, most widely represented is the Rulebook on interior order and guarding (at 90% of examined protected areas), whereas the Annual management plan for every five years (from 2010 to 2014), was present with only 60% of examined protected areas. Nevertheless, it is worth mentioning that the percentage of representation of annual management plan from 2010 to 2014 is increasing, so that in 2010 and in 2011 only 63.33% of protected areas had management plan, in 2012 as many as 73.33%, in 2013 precisely 76.67%, whereas in 2014 the figure is as much as 90%. In total, all six conditions stipulated by law (Level 1 + Level 2) were met by only 13 of the evaluated 30 protected areas, i.e., 43.33%.
When it comes to additional variables of management effectiveness, Level 3 properties, the most frequently present are species monitoring and participating in educational programs and promotional events, both with 86.67%, whereas the least frequent is the biodiversity e-database, represented with only 46.67% of the evaluated protected areas. The numerical property ‘realized and started projects’ exhibits great variation. While certain protected areas have more than 10 started projects, as many as five of them have none, resulting in the median of four started projects per year (less than one annually).
Following the calculation of the management effectiveness standardized numeric score, it is possible to rank the evaluated protected areas according to their degree of effectiveness, as well as to examine the impact of external factors on the quality of protected area management. A graph of all protected areas ranked according to their assigned score is provided in Appendix A, Figure A1. Two protected areas have a maximum score of 100/100, meaning that they exhibit all examined effectiveness variables, whereas the lowest ranked protected area has a score 6/100.
Correlation between the effectiveness management score and certain numeric properties of protected areas (surface area, percent of professional staff within the total number of employees, number of rangers per surface unit, level of conservation according to IUCN and national categorization) is examined with Spearman’s rank correlation coefficient, in accordance with non-parametric nature of the majority of properties. Results are provided in Table 4, which contains five pairs of correlated variables. Statistical significance of the calculated Spearman’s rank correlation coefficients has been confirmed with the corresponding t-test and shown with the value of t-statistics with N-2 degrees of freedom, and the corresponding p-value.
Using Table 4, one establishes that there is a statistically significant positive correlation between the measured degree of effectiveness and the following properties: the surface of the protected area, the percentage of professional staff in the entire number of employees and the level of conservation determined on the basis of Serbian protected area categorization. No statistically significant correlation was found between the score of effectiveness and the number of guards per area unit, nor between the effectiveness score and the level of conservation determined through international IUCN categorization.
The impact of a manager’s primary activity (binary division of activity: nature conservation/other) on the degree of management effectiveness is examined with Mann–Whitney U test, the results are given in Table 5.
Analysis results in Table 5 show that the examined sample exhibited no statistically significant difference in the effectiveness degree between the management of the first and the second group of protected areas, i.e., in groups whose manager’s primary activity is nature conservation, and whose primary activity is some other.
Finally, the impact of a manager’s organizational type on the level of effectiveness has been examined with non-parametric Kruskal–Wallis ANOVA test. The test results, H(df = 3, N = 30)-statistics = 2.5404, p-value = 0.4680, indicate that based on the observed sample no statistically significant difference has been found between the scores of effectiveness in the four groups of protected areas managed by managers of various organizational types. Despite such results, graphic rendering of the effectiveness degree distribution in these four groups (Figure 3) suggests that the management effectiveness level is slightly better in public companies (PC) than in the other three groups (NGO, private companies PR, state institutions SI), but the difference cannot be considered statistically significant due to the highly manifested minimum of the entire sample belonging to this group.
As the final step in the assessment results analysis, performed to interrelate fundamental and implementation criteria, i.e., to emphasize the significance of Level 1 variables of the model, we compared effectiveness of implementation (measured by sum of Ck variables, k = 1,…, 9, i.e., sum of Level 3 variables) between two subsamples. The first one consists of 13 protected areas that met all three Level 1 criteria, whereas the second one consists of remaining 17. Mann–Whitney test results (U-statistics = 35.5, Z-statistics = 3.118, p-value = 0.0018) indicate that there exists a highly significant difference between the effectiveness of the two groups in terms of implementation. Box-and-whiskers plot for two groups (Group 1—Level 1 criteria are met; Group 2—Level 1 criteria are not met) is given in Figure 4.

5. Discussion

Managing protected areas is a complex task of national and international public significance. Contemporary science dealing with protected area management is trying to answer which models of protected area management are the most suitable and the most effective. To provide these answers, the authors believe that first, it is necessary to analyze the fulfillment of criteria stipulated by law, which are mandatory to be performed by the protected area mangers, since this represents the fundamental and necessary minimum before any other analysis.
All the criteria stipulated by law are met by only 43.33% managers of the investigated protected areas. From this, one infers that it is from this group of managers that the best model of protected area management should be obtained. Furthermore, 56.67% of protected areas do not meet some of the legally stipulated conditions, and, therefore, it would be necessary to revise the decisions on awarding certain protected area to individual managers. In certain cases, some deficiencies could be removed by setting additional deadlines for managers to harmonize their work with the stipulated norms. We believe that managers who cannot or do not wish to meet legally stipulated tasks regarding protected area management, should not be allowed to operate in this business at all. Protected area management must have its minimal conditions, i.e., standards in operating in this field of work and they should be completed and fulfilled. This represents an initial baseline of good management, and measuring the effectiveness and creation of the best possible management model is the upgraded superstructure of previously set standards.
As already stated, the first assessment of protected area management effectiveness in the Republic of Serbia was RAPPAM in 2009. In RAPPAM analysis took part as many as 10 managers, out of which five simultaneously participated in producing RAPPAM and the Report on the State of Nature for the Period 2010–2014. The data from the Report was also used for the purposes of this paper. The five managers who participated, are in charge of 12 protected areas. Out of those 12 protected areas, the analyzed legally prescribed management criteria were met by eight of the protected areas. Four protected areas do not meet these legal standards, which is why we believe they should not have been analyzed in the RAPPAM in first place since these managers simply do not meet legally stipulated criteria otherwise obligatory for managers. It would be useful to implement other internationally recognized assessment methods, such as Management Effectiveness Tracking Tool (METT) [12] and compare the obtained results.
Additional indicators were taken as means for assisting in the analysis of establishing protected area management effectiveness. Clear, measurable and agreed goals enable the assessment of effectiveness and identification of uncertainty in management practices and increase the protected areas management effectiveness [17]. The analysis shows that only two protected areas have all the examined effectiveness indicators (100/100, Appendix A, Figure A1), thereby implying the response regarding the model for good management.
Management effectiveness has been examined from the point of view of correlation between the scores of management effectiveness and certain external factors: surface area, percentage of professional staff, number of guards per surface unit, IUCN and national protected area categorization. The analyses indicate that a significant correlation exists between management effectiveness score and surface area, percentage of professional staff in the total number of employees, and national protected area categorization. It is a surprising result that we have not found a statistically significant correlation between the protected area effectiveness and the density of rangers in the protected area. This should be subjected to further analysis. Regarding other elements, the results are as expected, since professional staff mostly contribute to performing the protected area management tasks, i.e., the higher the conservation level of a given protected area, it is expected that these protected areas have more strict and conservation implementation measures.
The results also indicated the absence of significant correlation between management effectiveness and IUCN categorization of the protected area. IUCN categories cannot be automatically transferred and implemented to the national level, but rather an analysis should be performed for each individual protected area. A similar pattern emerges in other countries since management is adjusted to already developed national systems [41], and not to the IUCN categories [17]. A recommendation is that the IUCN system implementation is used as a means of improving the national categorization system, as well as for management of protected areas in general [30].
Analysis as to which legal-organizational form of manager is the most effective to manage protected areas, from the point of view of primary activity performed by an individual manager, indicates that nature conservation, i.e., of environmental protection, as the primary activity is not the assumption that would make the manager more effective than others. Nevertheless, it is worth mentioning that within the group of six best ranked protected areas (Appendix A, Figure A1) in terms of management effectiveness, three of them are managed by a manager whose primary function is nature conservation. It can be stated that, if nature conservation is the primary activity of managers, it can be a significant, but not a determining fact.
In terms of the manager’s organizational type and its impact on management effectiveness, the analysis indicates that the management effectiveness is somewhat better in the case of public enterprises. This is the case because, among other things, out of six highest-ranked protected areas (Appendix A, Figure A1), as many as four of them are managed by public enterprises meeting almost all legally prescribed criteria. Nevertheless, this aspect can serve no further purpose to formulate a more clear opinion, since the sample evaluated in this paper is not sufficiently representative for such purpose. One should point out the fact that public enterprises often put profit above the nature conservation. Lawmakers have clearly pointed out in Article 67 of the Law of Nature Conservation that protected areas management is of public interest. However, the majority of managers have dual function—as an one of economic user of the space for the purpose of realizing material and other gains, and as a responsible entity for the conservation and improvement of natural values. Natural value management operations in the function of protection and sustainable development can in no manner be misidentified with the operations, goals and aims of economic activities realized in various fields in the region, not even by managers. Even public enterprises in charge of certain national parks in the Republic of Serbia had to provide for certain funds for their operations through various activities, such as forestry, which often diverged from the primary function for which they were established [42].
Finally, the results interrelating minimal obligations stipulated by law and implementation of obligations in the field (Figure 4) indicate that the managers who met all three fundamental criteria (management plan, adequate professional staff, and ranger service) significantly better implement operational activities of conservation and the improvement of protected areas. These findings are completely in accordance with our research hypothesis.
The contribution of the conducted research is twofold. First, on the local level, it realistically shows the situation of the management in protected areas in Serbia, and, thus, should contribute to its improvement. Second, on the more general level, it proposes a novel assessment model that can be applied to similar protected areas. The results of the research confirm the importance of incorporating legally prescribed criteria into the preliminary assessment of the quality of nature conservation management.

6. Conclusions

This paper has set two basic objectives—to explore the fulfillment of the legally prescribed obligations that all managers in the Republic of Serbia are expected to meet, as well as to—based on the evidence at our disposal—assess and analyze management effectiveness in the protected areas.
The authors’ conclusion is that about half of the protected areas have no adequate management in terms of the legally prescribed management criteria. Following the analysis of additional variables, they conclude that only two protected areas (NP Fruška Gora and Special Nature Reserve “Obedska bara”) meet all the criteria.
The results indicate that the effectiveness management score is greater with larger-sized protected areas with professional staff in greater numbers and protected areas with a more strict level of conservation, according to the national categorization of protected areas.
With respect to organizational and legal type of the protected area manager, the analyses have shown that the best result is accomplished with public companies as managers, although the existing sample is not sufficient to substantiate certain points of view more elaborately.
Bearing in mind all the stated elements, the authors conclude that meeting all the criteria stipulated by law and the existence of professional staff represents fundamental factors for the effective management of protected areas. This should be one of the key factors when individual legal entities are entrusted to manage protected areas, i.e., whether such entity possesses professional staff and what its capacities are, as well as the control of the fulfillment of legally prescribed obligations for protected area managers.

Author Contributions

Conceptualization, N.B. and R.M.; Data curation, K.D.; Formal analysis, J.I.; Investigation, N.B. and K.D.; Methodology, N.B. and K.D.; Project administration, N.B.; Resources, K.D.; Supervision, R.M.; Visualization, K.D.; Writing—original draft, N.B., K.D. and J.I.; Writing—review and editing, R.M. and J.I.

Funding

This research received no external funding.

Acknowledgments

The data was used with consent of Institute for Nature Conservation of Vojvodina Province. The authors thank anonymous referees for the valuable comments, and Andrew Salt and Ivan Filipović for the language revision.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The list of managers and protected areas.
Table A1. The list of managers and protected areas.
NoProtected AreaProtected Area Manager
1.National Park Fruška GoraPublic Enterprise “Nacionalni park Fruška Gora”
2.Special Nature Reserve Gornje PodunavljePublic Enterprise “Vojvodina šume”
3.Special Nature Reserve Koviljsko-Petrovaradinski Rit
4.Special Nature Reserve Bagremara
5.Special Nature Reserve Deliblatska Peščara
6.Special Nature Reserve Obedska bara
7.Special Nature Reserve Ludaško JezeroPublic Enterprise “Palić-Ludaš”
8.Special Nature Reserve Selevenjske Pustare
9.Landscape of Outstanding Feature Subotička Peščara
10.Nature Park Palić
11.Nature Park JegričkaPublic Water Management Enterprise “VodeVojvodine”
12.Nature Park Beljanska Bara
13.Landscape of Outstanding Feature Vršačke PlaninePublic Enterprise “Varoš”
14.Protected Habitat Mali Vršački Rit
15.Special Nature Reserve Ritovi donjeg PotisjaPublic Enterprise “Rezervati prirode Zrenjanina”
16.Nature Park Stara Tisa Kod Bisernog OstrvaPublic Enterprise for Utility Services “Komunalac”
17.Special Nature Reserve KarađorđevoMilitary Institution “Morović”
18.Special Nature Reserve KraljevacSports Anglers’ Association “Deliblatsko jezero”
19.Special Nature Reserve Slano KopovoHunters’ Association “Novi Bečej”
20.Special Nature Reserve ZasavicaScouts’ Association Sremska Mitrovica
21.Special Nature Reserve Titelski BregPublic Enterprise “Titelski breg”
22.Special Nature Reserve Carska BaraFisheries Production “Ečka” a.d.
23.Special Nature Reserve Pašnjaci Velike DropljeHunters’ Association Lovačko udruženje “Perjanica”
24.Nature Park TikvaraPublic Enterprise Sports and recreational Center “Tikvara”
25.Nature Park Begečka JamaDTD Ribarstvo d.o.o.
26.Nature Park PonjavicaPublic Water Management Enterprise “Tamiš Dunav” d.o.o.
27.Protected Habitat Bara TrskovačaRuma Municipality Tourist Organization
28.Special Nature Reserve Okanj BaraEnvironment Conservation Association “Okanj”
29.Nature Park RusandaSpecial Rehabilitation Hospital “Rusanda”
30.Nature Park KamarašCitizens’ Environment Conservation and Native Land Study Association “Iringo”
Figure A1. The assessment model results—Management Effectiveness Chart.
Figure A1. The assessment model results—Management Effectiveness Chart.
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Figure 1. Conceptual framework.
Figure 1. Conceptual framework.
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Figure 2. Map of the analyzed protected areas in the Autonomous Province of Vojvodina. Source: Database of the Provincial Institute for Nature Conservation and topographic map (Military Geographical Institute, TM 300000), processed in ESRI ArcGIS 10.3.1. The numbers correspond to protected areas as listed in Appendix A, Table A1.
Figure 2. Map of the analyzed protected areas in the Autonomous Province of Vojvodina. Source: Database of the Provincial Institute for Nature Conservation and topographic map (Military Geographical Institute, TM 300000), processed in ESRI ArcGIS 10.3.1. The numbers correspond to protected areas as listed in Appendix A, Table A1.
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Figure 3. “Box and whiskers” plot of score distribution depending on the manager’s organizational type.
Figure 3. “Box and whiskers” plot of score distribution depending on the manager’s organizational type.
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Figure 4. “Box and whiskers” plot of Level 3 sub-score distribution depending on the fulfillment of the Level 1 criteria.
Figure 4. “Box and whiskers” plot of Level 3 sub-score distribution depending on the fulfillment of the Level 1 criteria.
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Table 1. Comparison of national and IUCN (International Union for Conservation of Nature) protected areas categorization system (harmonized according to [30]).
Table 1. Comparison of national and IUCN (International Union for Conservation of Nature) protected areas categorization system (harmonized according to [30]).
National CategoryPrimary PurposesIUCN Category
special nature reservesscientific research, conservation of biodiversity, protection of species, habitats and ecosystemsIV
national parksscientific research, conservation of biodiversity, tourism and recreation, sustainable use of resourcesII
protected habitatsscientific research, conservation of biodiversity, protection of species and habitatsIV
landscapes with outstanding featuressustainable use of resources, conservation of cultural heritage and of spatially limited geo-diverse and landscape localityV
nature parkssustainable use of natural resources, landscape and cultural heritage conservationVI
Table 2. Selected Variables.
Table 2. Selected Variables.
Group IGroup II
Level 1Level 2Level 3
Management planAnnual management planNumber of realized and started projects for 2010–2014
Professional staffRulebook of chargesSpecies monitoring
Ranger serviceRulebook on interior order and guardingEducational and promotional programs
Education on EU integration in the field of nature conservation
Administrative e-database
Biodiversity e-database
Tourist paths
Visitors’ centers
Organized tours for visitors
Table 3. Descriptive statistics of protected areas.
Table 3. Descriptive statistics of protected areas.
PropertyFrequency (%)
Minimal conditions stipulated by law (Level 1)
Management plan26 (86.67%)
Professional staff (minimum three employees)17 (56.67%)
Ranger service (minimum three employees)19 (63.33%)
Other conditions stipulated by law (Level 2)
Annual management plan (2010–14)18 (60.00%)
Rulebook of charges21 (70.00%)
Rulebook on interior order and guarding27 (90.00%)
All conditions stipulated by law (Level 1 + Level 2)13 (43.33%)
Additional variables (Level 3)
Number of realized and started projects (2010–14)4 (0–16) *
Monitoring of species26 (86.67%)
Educational and promotional programs26 (86.67%)
EU integration in the field of nature conservation19 (63.33%)
Administrative e-database22 (73.33%)
Biodiversity e-database14 (46.67%)
Tourist paths23 (76.67%)
Visitors’ center16 (53.33%)
Organized tours18 (60.00%)
* median (range).
Table 4. Correlation between effectiveness score S and numeric properties of protected areas.
Table 4. Correlation between effectiveness score S and numeric properties of protected areas.
Variable PairsValid Sample NSpearman Coefficient Rt(N-2) Statisticsp-Value
S and surface300.4317 *2.53280.0172
S and % of prof. staff300.3892 *2.23590.0335
S and No. of guards per ha280.15360.79270.4351
S and IUCN category270.01230.06180.9512
S and national category300.3925 *2.25810.0319
* significant at the 0.05 level.
Table 5. Comparison of effectiveness scores of managers with various primary activities.
Table 5. Comparison of effectiveness scores of managers with various primary activities.
MW U-TestSum of Ranks (Nature Conservation, N = 6)Sum of Ranks (Other, N = 24)U-StatisticsZ-Statisticsp-Value
S82.00383.0061.00−0.54440.5862

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Banjac, N.; Maksimović, R.; Dragaš, K.; Ivetić, J. Monitoring and Assessment of Protected Areas’ Management Capacities in the Republic of Serbia. Sustainability 2019, 11, 666. https://doi.org/10.3390/su11030666

AMA Style

Banjac N, Maksimović R, Dragaš K, Ivetić J. Monitoring and Assessment of Protected Areas’ Management Capacities in the Republic of Serbia. Sustainability. 2019; 11(3):666. https://doi.org/10.3390/su11030666

Chicago/Turabian Style

Banjac, Nikola, Rado Maksimović, Katarina Dragaš, and Jelena Ivetić. 2019. "Monitoring and Assessment of Protected Areas’ Management Capacities in the Republic of Serbia" Sustainability 11, no. 3: 666. https://doi.org/10.3390/su11030666

APA Style

Banjac, N., Maksimović, R., Dragaš, K., & Ivetić, J. (2019). Monitoring and Assessment of Protected Areas’ Management Capacities in the Republic of Serbia. Sustainability, 11(3), 666. https://doi.org/10.3390/su11030666

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