Does higher owner participation increase conflicts over common land? An analysis of communal forests in Galicia (Spain)
iForest - Biogeosciences and Forestry, Volume 8, Issue 4, Pages 533-543 (2014)
doi: https://doi.org/10.3832/ifor1060-008
Published: Dec 01, 2014 - Copyright © 2014 SISEF
Research Articles
Abstract
Communal forests or Montes Vecinales en Mano Común (MVMC) are a type of private collective land in Galicia (NW of Spain) that amounts to approximately one third of its forest land. There has been a series of changes in MVMC ownership and management throughout the 20th century. Uncertainty about ownership, changes in population and the presence of the Forestry Authority bring about deficiencies in management and increases conflict. This paper analyses MVMC management in 1.731 parishes in Galicia. The digital records of local and regional newspapers were used to compile a database consisting of 2.734 news reports related to MVMC issues. The results of hypothesis testing and of spatial analysis show that population, agricultural activity and land use affect management and conflict rates. This paper discusses how active management and conflict are complementary models, and how the presence or absence of one or the other is a determining factor in the situation of each parish. It concludes that it is necessary to implement management models and strategies to minimise conflict and increase active management for sustainable forest development in the region.
Keywords
Commonly-owned Private Property, Communal Forests, Media, Social Participation, Management Models
Introduction
In a modern sense, public participation in devising forest management is voluntary. Within public participation processes, people, individually or in organized groups, can exchange information, express opinions and articulate interests with the aim of influencing the final result in decision making ([43], [1], [4]). It is both an opportunity and a need for today’s society, as it is a useful tool to avoid conflicts, share information and encourage good relations with the planning team ([37], [46], [87], [45], [39], [14]). Public participation contributes to democratization through the reinforcement of transparency in decision making: it increases plurality of aims, encourages mutual learning and increases the awareness of collective responsibility for natural resource management questions ([26], [47], [50]).
According to Ostrom & Nagendra ([73]), sustainable governance of natural resources is a challenging task, in which “major debates occur over what types of policy interventions best protect forests, with choices of property and land tenure systems being central issues” and natural resource management can be approached from different views. There are regional differences in practical approaches to biodiversity conflict management because the social, political and economic characteristics of a culture influence the type of conflicts and the response to them ([37]). In this context, conflicts are confrontations between opposing values and objectives of the stakeholders in the sustainable management of natural resources ([11]), often caused by different perceptions of the initial situation of the resources discussed ([34]). Following Skutsch ([91]), conflicts over biodiversity should be regarded as inherent in social participation, reinforcing the ideas of Hellström ([37]), which are seen as an important part of the decision-making process on how to use the natural resources.
Conflicts usually have negative effects on forest management ([24]). However, the key to understanding and to the new social demands in forest areas ([37]) lies in the nature of conflicts. Many authors have analyzed conflicts in forest areas ([25], [56], [22], [88]). White et al. ([99]) developed a new and innovative framework aimed at improving the conceptual understanding of biodiversity conflicts. This method is based on the analysis of ecological, economic and social factors that affect the behavior of the biodiversity actors responsible for the conflict. This system is useful in developing strategic models to improve the understanding of general conflict dynamics.
The aim of the study is to classify in groups the parishes with communal forest land of the Montes Vecinales en Mano Común (MVMC), to analyze the different management levels and models, and how these influence conflict appearance. Specifically we test the hypothesis that an increase in public participation implies a greater level of conflict in the management of these communal lands. If such a difference exists, what variables associated with population, property and land-use management explain the difference.
Current State
Common land is that where property rights are exerted collectively, be it by a community or by one person, leaving other people with certain rights to the property of land ([13]). Such rights are determined by internal rules transmitted by tradition inside the community. It has played a key role in the economic development of rural areas ([30], [89], [56], [76]) regardless of its function and use.
Mei Szen & Sovacool ([60]) indicated that the criteria of efficiency, equity, sustainability and compatibility should be utilized to manage conflicts in land use. In some areas managed by the Forestry Administration in Galicia (Spain), a greater number of fires occurred as a result of conflicts ([32]). The management of communal forests, as a common land where ownership is private but collective, implies the participation of the involved community in the use of land and organization of space. Dietz et al. ([21]) indicated the risk of degradation from overuse that communal natural resources can suffer due to being managed by institutions that do not fulfill the aims for which they were created. Alberich ([3]) saw social participation as a set of activities, processes and techniques by which people involved in public affairs influence forest management. Penker ([79]) defined participation as the ability of the local population to decide and develop their own rules and structures, which are based on “structural variables [that] affect the core relationships of reputation, trust, and reciprocity” ([74]). Nevertheless, the complexity of the previous processes of spatial concentration, association and social participation may lead to passive attitudes towards forest management ([78], [88]), or situations of conflict ([9], [18], [57], [12], [90]).
Among the different methods available to detect and characterize attitudes among the population, the analysis of mass media allows to determine the social impact of natural resource management from a global and inclusive perspective, without incurring high survey costs. In fact, newspapers are the main source of public information concerning environmental issues ([59]). Therefore, news and media have been used in different research works and studies in the last 15 years. News from different media were analyzed to assess the evolution of values related to forests for different social groups ([100]). Newspaper coverage of the environmental impact of a project and the contribution of the type of news and images to the change in readers’ opinion has also been assessed ([69]). Similarly, Wakefield & Elliott ([97]) analyzed how local newspapers informed concerning environmental risks. More recently, Hovardas & Korfiatis ([41]) studied how the press tackles the management of a forest reservation in Greece.
More specifically, the way in which media reflect forest communities is an indicator of their level of management and organization ([1]). Yasmi et al. ([101]) used a compilation of articles published in international peer-reviewed journals to organize agricultural and forestry conflicts into a hierarchy of categories. This is particularly useful in the analysis and assessment of the social relevance of forest communities in the study area and of the interactions of social relevance with economic and environmental issues ([32]). White et al. ([99]) considered that the analysis of mass media could be an interesting indicator to address the issue of conflict in natural resource management. Therefore, the analysis of communities’ attitudes towards forest management could help in characterizing their degree of involvement, allowing identification of passive behavior and constituting the basis for development of dynamization strategies of the management.
Materials and methods
Location
Galicia is a province in northwest Spain characterized by a high relative percentage of its total forest area, which represents over 60% of its surface area and accounts for 11% of the total forest area in Spain. More than two-thirds of the Galician forest area is privately owned, and 30% are communal forests (MVMC), a characteristic form of communal land in Galicia ([5], [29], [53]). MVMC shares characteristics with other traditional European commons that survived the liberalization wave of the 19th century and have since faced a number of challenges, but still maintain some of their traditional significance. It is important to note that new uses have been found in terms of provision of ecological, leisure and natural services ([19]).
This type of land is collectively and privately owned by rural communities made up of groups of neighbors who live in a parish and who carry out economic activities there. The average size of communal forests is 230 ha, greatly exceeding the average size of parcels belonging to individual private owners, 1.5-2 ha/owner ([54], [55]). Fig. 1 shows the distribution of Galician MVMC.
Independently of the different theories about their origin, Galician MVMC are shared by a group of people according to agreed rules, as are other forest communities in the European context ([62], [30]). In Galicia, their ownership has fallen to neighbors surrounding one or more villages, usually parishes, where the legal regime does not establish different quotas among co-owners - the place of residence or neighborhood determines access, which is egalitarian and free for neighbors and it is not possible to inherit or sell the use right ([52]). The parish population engages in collective actions to manage their forest lands sustainably as complementary activities for the family economy without any external governing authority. All individuals who live in a parish with MVMC are communal owners (comuneros) and hence also enjoy right of use, despite there being no duty to participate in joint forest management.
The complementary activities on MVMC have been linked with agrarian activities, where these lands were a significant support in the traditional agrarian system ([10]). But some forest functions, such as timber production, have not been of great relevance in Galician forests. The sparsely wooded lands, compensated only by natural regeneration, were destined to produce firewood and forest products for households, ensuring land upkeep including forms of association between agriculture and forestry.
Since the 1950s, significant number of the rural population have moved to urban areas, causing the abandonment of extensive agrarian areas and changing the agricultural landscape to scrub and forest. In the middle of the 20th century, the Spanish State assumed the regulation of this type of property, assimilating it into public participation mainly at the municipal level but also state. The government began to actively work on MVMC administration through the organization Patrimonio Forestal del Estado (PFE) and by means of agreements (named consortia) giving legal responsibility to the MVMC councils. Communal forestlands were reoriented towards forest production by means of their reforestation with fast-growing species ([35]), consolidating an economic business that tried to change the national deficit in forest production and make the country self-sufficient in forestry.
With these socioeconomic patterns, the traditional uses of communal lands changed and the Galician rural system became unbalanced. Due to the alteration of the traditional modus vivendi and the radical changes in rural landscapes, conflicting interests arose between economic development (administration) and traditional users (the neighborhood - [71]).
In 1968, with the State promulgation of the specific MVMC Law 52/68, the neighbors’ communal property began to be considered indivisible, inalienable, imprescriptible and free of tributes, establishing the special treatment of Galician communal forests. Since the 1980s, as the Autonomous regions had the authority the administrative organization, the Galician Government became responsible for legislating and negotiating these properties in a subsidiary way, considering a specific Galician Law (no. 13/89) which defines the MVMC as: “…with independence of their origin, of their productive possibilities, of their current use and of their agrarian vocation, they belong to local groups in their quality of social groups and not as administrative entities, and can use commonly as a neighbors’ regime”.
At present, and in the immediate future, a series of challenges and opportunities face the MVMC. Among the former, forest fires are a prominent source of conflict ([17], [28]), tied to (and worsened by) ineffective management ([49]) thus rendering the communal forest underused or directly abandoned. In low dynamic areas the opportunities are related to the potential of multifunctional use of forest land in to diversify income sources and generate new opportunities for economic and social development ([49]).
Data collection
Digital mass media have been widely available in the study area since 2002. We searched for, classified and selected all news related to Galician forest communities that appeared in online newspapers with information about conflicts in MVMC to conduct a census between 30 June 2002 and March 31 2008. We also collected and analyzed all newspaper reports related to MVMC found in the digital libraries of national newspapers with a regional edition for Galicia (2), regional newspapers (1) or provincial and local newspapers (15). The readership of these newspapers accounts for 85% of the 1 126 000 people who daily read the online or print editions of Galician newspapers ([2]), and accounts for 40.2% of the total population of the region.
The data sources used have some limitations: geographical biases, since the media coverage is not uniform in the whole territory; and there are no data sources of the same nature to contrast information. Bengston & Fan ([8]) reached a similar conclusion: “As more small community newspapers become available online in the future, it will be possible to calculate separate conflict indexes for each region or even each state”.
Additional data on land-use structure and socioeconomic variables were also analyzed ([67]). The National Statistics Institute (Instituto Nacional de Estadística - [44]) provided the information on social and economic development (e.g., population density, structure and occupation). The Forest Map of Spain developed by the Spanish Ministry of the Environment, provided land-use data (e.g., wooded and non-wooded land area, agricultural land area or idle land). A census of Galician forest communities provided data on the population nucleus, parish, municipality and province to which each forest community belongs. All this information was merged and homogenized into a unique database, taking care that geographical references and quantitative units were compatible and comparable among sources.
Finally, we reviewed other research and descriptive studies ([20], [80], [92], [5]) to verify that the source of information used in our research completed the information provided by similar sources, thus validating reliability of the source and assessing the significance of its contribution.
Data processing
News articles about conflicts were classified according to two criteria ([94], [66], [6]): (i) the nature of the conflict, whether social, economic or environmental ([75]); and (ii) the source or agent of the conflict, which could be internal, i.e., within the community of owners ([12]) or external, i.e., with other forest communities ([18]), enterprises, government organisations ([82]) or NGOs.
Because many conflicts could be assigned to more than one category, conflicts were reclassified and grouped into six types (Fig. 2). Such a restructuring allowed for a better analysis and understanding of conflict classification.
Fig. 2 - Classification of the studied conflicts based on several criteria described in “Materials and Methods”.
Finally, newspaper reports were grouped into two categories: those related to social participation and to conflicts. Each category was in turn grouped into three sections. A database was created to classify the newspaper reports into different groups: (i) social issues (participation in the community, training and employment, conflicts, cultural activities and membership in an association or cooperative); (ii) environmental issues (forest fires, site contamination, degradation of natural resources, promotion of good management practices, fines and sanctions for poor environmental practices); and (iii) economic issues (public subsidies, traditional and innovative production activities, management reports, resource concessions and agreements).
Statistical analysis
A preliminary analysis was carried out on the variables analyzed in order to describe their central tendency and dispersion. Given that the socioeconomic variables involved generally show non-normal distributions, their departure from normality was tested by the Kolmógorov-Smirnov test (K-S test).
Analysis of variance (ANOVA) was carried out to test for significant differences among the hypotheses tested ([83], [38], [32], [98]). Equality of variances was verified using the Levene’s test (α = 0.05). Post-hoc tests ([64]) were used for the detection of significant differences among groups. The Scheffé test ([16]) was used to regroup ordinal variables into homogeneous subgroups based on similar values of the study variables.
All statistical analyses were conducted by the use of the software package R version 2.5.2 ([81]). A free Geographic Information System software ([36]) was used for spatial representation of the results of the statistical analysis, with the aim of detecting changes in the spatial distribution of news items ([15]).
Results
Galicia comprises 3793 parishes, 1731 of which have some forest community and account for 45.6% of the total. We processed and counted all the news related to Galician parishes published in local, provincial and regional newspapers between June 30, 2002 and March 31, 2008. Overall, 2734 reports were compiled, concerning a total of 741 parishes, or 42.8% of all parishes with MVMC. The maximum number of reports per parish related to participation was 25, while the maximum number of those related to conflicts was 42.
Fig. 3 and Fig. 4 show the geographic distribution and abundance of the reports inferred from the news analyzed. The maps reveal a strong concentration of conflicts in the southwest of the region, but hardly any conflicts in the northwest. Spatial patterns were similar for all the types of conflicts considered.
Results of the classification of parishes into the aforementioned categories are reported in Tab. 1. The largest group was called GROUP 0 and comprised 990 parishes (57.2 % of the total). These parishes were characterized by a lack of management activity throughout the study period. The remaining 741 parishes (42.8%) were divided into three groups, according to the news items on management and conflict. GROUP 1 included those parishes in which over two-thirds of the news items were about conflicts. In GROUP 2, there was a balance between news items about conflicts and news items on property management (participation). Finally, GROUP 3 included those parishes for which less than one-third of the news items were conflict related. As for the geographical distribution of such groups in Galicia, GROUP 0 comprised the south and southeast of the region (Fig. 5). GROUP 1 was spread over the whole territory, while GROUP 2 and GROUP 3 were along the west coast and, to a lesser extent, in the northwest.
Tab. 1 - Classification of parishes in different study groups based on the importance of conflicts out of the total number of news items.
Group | Criteria used | Freq. | Perc. | Percentage representation of each group |
|
---|---|---|---|---|---|
GROUP 0 | Parishes with no news | 990 | 57.2 | 57.2 | 57.2 |
GROUP 1 | More than 66 % of news about conflicts | 186 | 10.7 | 25.1 | 42.8 |
GROUP 2 | Between 33 % and 66% of news about conflicts | 119 | 6.9 | 16.1 | |
GROUP 3 | Less than 33 % of news about conflicts | 436 | 25.2 | 58.8 | |
Total | - | 1731 | 100 | 100 | 100 |
We tested the hypothesis ANOVA that conflict appearance in the different groups (dependent variable) of parishes studied might be affected by several socioeconomic and land-use related factors (independent variables). The list of variables used in the ANOVA is reported in Tab. 2, along with the results of the goodness-of-fit to normality of their distribution. As expected, most variables showed a significant departure from the normal distribution after the Kolmogorov-Smirnov test. However, given the large dataset analyzed (see Tab. 1), this did not impair the results of the ANOVA carried out, according to the central limit theory ([83]). Also, equality of variances for all the variables included in this study was confirmed by the Levene’s test (p>0.05).
Tab. 2 - Tab. 2 - Departure from normality of each variable in the hypothesis test after the Kolmogorov-Smirnov test. (STD): Standard deviation; (K-S Z): Z-values from the K-S test.
Variable | Label | Mean | STD | K-S Z | Prob |
---|---|---|---|---|---|
Population 2006 | PO2006 | 720.430 | 1301.314 | 7.949 | 0.000 |
Population density (people/km2) | POD | 1.403 | 6.885 | 11.423 | 0.000 |
Owners engaged in agriculture (%) | OWAG | 20.157 | 19.528 | 4.316 | 0.000 |
Population aged 65 or more (%) | PO65 | 30.295 | 11.331 | 2.106 | 0.000 |
Non-woodland forest area (%) | NOWOOD | 11.098 | 16.653 | 6.875 | 0.000 |
Forest area under fast-growing species (%) | FOFAST | 42.396 | 21.096 | 1.934 | 0.001 |
Agricultural land area (%) | AG | 35.859 | 16.870 | 1.102 | 0.177 |
Forest area (%) | FO | 59.199 | 19.557 | 1.965 | 0.001 |
Forest area under slow-growing species (%) | FOSLOW | 2.112 | 5.618 | 9.622 | 0.000 |
Forest wood area (%) | FOWOOD | 44.500 | 20.212 | 2.059 | 0.000 |
Evolution of population density 1960-2006 | EV1960-2006 | -0.260 | 0.543 | 3.697 | 0.000 |
Results of the ANOVA carried out are reported in Tab. 3. Significant differences among groups of parishes were found for seven out of 11 variables (p<0.05), while mean values of only four variables showed no differences among groups (POD: p = 0.632; PO65: p = 0.083; AG: p = 0.158; EV1960-2006: p = 0.068).
Tab. 3 - ANOVA results for each variable in the hypothesis test.
Variable | Source of variation | Sum of squares | df | Mean Square | F | Prob |
---|---|---|---|---|---|---|
PO2006 | Between groups | 22 366 904.028 | 2 | 11 183 452.014 | 6.706 | 0.001 |
Within groups | 1 230 763 441.502 | 738 | 1 667 701.140 | - | - | |
Total | 1 253 130 345.530 | 740 | - | - | - | |
POD | Between groups | 43.573 | 2 | 21.787 | 0.459 | 0.632 |
Within groups | 35 038.095 | 738 | 47.477 | - | - | |
Total | 35 081.668 | 740 | - | - | - | |
OWAG | Between groups | 7 888.555 | 2 | 3 944.277 | 10.611 | 0.000 |
Within groups | 274 317.342 | 738 | 371.704 | - | - | |
Total | 282 205.897 | 740 | - | - | - | |
PO65 | Between groups | 638.413 | 2 | 319.206 | 2.496 | 0.083 |
Within groups | 94 365.579 | 738 | 127.867 | - | - | |
Total | 95 003.992 | 740 | - | - | - | |
NOWOOD | Between groups | 5 170.374 | 2 | 2 585.187 | 9.537 | 0.000 |
Within groups | 200 053.743 | 738 | 271.076 | - | - | |
Total | 205 224.117 | 740 | - | - | - | |
FOFAST | Between groups | 7 271.629 | 2 | 3 635.814 | 8.331 | 0.000 |
Within groups | 322 068.479 | 738 | 436.407 | - | - | |
Total | 329 340.107 | 740 | - | - | - | |
AG | Between groups | 1 050.073 | 2 | 525.037 | 1.849 | 0.158 |
Within groups | 209 553.171 | 738 | 283.947 | - | - | |
Total | 210 603.244 | 740 | - | - | - | |
FO | Between groups | 4 488.105 | 2 | 2 244.053 | 5.946 | 0.003 |
Within groups | 278 540.335 | 738 | 377.426 | - | - | |
Total | 283 028.440 | 740 | - | - | - | |
FOSLOW | Between groups | 523.479 | 2 | 261.739 | 8.460 | 0.000 |
Within groups | 22 832.849 | 738 | 30.939 | - | - | |
Total | 23 356.328 | 740 | - | - | - | |
FOWOOD | Between groups | 3 954.357 | 2 | 1 977.178 | 4.891 | 0.008 |
Within groups | 298 346.870 | 738 | 404.264 | - | - | |
Total | 302 301.227 | 740 | - | - | - | |
EV1960-2006 | Between groups | 1.585 | 2 | 0.792 | 2.695 | 0.068 |
Within groups | 216.674 | 737 | 0.294 | - | - | |
Total | 218.259 | 739 | - | - | - |
To detect possible sub-grouping within the parish groups, the seven variables showing significant differences after ANOVA were further investigated. The results of the Scheffé’s test for the comparison among group means of the above variables are listed in Tab. 4 according to the variable type (population, agricultural activity and land use). Significant differences in the mean values of the variable PO2006 (population) were detected between parish groups GROUP 1 and GROUP 2, as well as between GROUP 2 and GROUP 3, suggesting the existence of two different subgroups. Similar results were obtained using the variable “Agricultural activity” (OWAG). In the case of surface area and land use, GROUP 1 and GROUP 3 showed significant differences for the variable NOWOOD (Non-woodland forest area, %), while no differences were found between GROUP 2 and the other two parish groups. Similar results were obtained using the FOFAST, (Forest area under fast-growing species, %), FO (Forest area, %) and FOSLOW (Forest area under slow-growing species, %). Contrastingly, no significant differences among group means were detected for the variable FOWOOD (Forest wood area, %), indicating that the parish groups considered were homogeneous as for this parameter.
Tab. 4 - Results of the Scheffé’s test for the comparison among group means of the variables showing significant differences after ANOVA.
Type of variable | Variable | Group | N | Subgroups | |
---|---|---|---|---|---|
1 | 2 | ||||
Population | PO2006 | GROUP 1 | 186 | 544.85 | - |
GROUP 2 | 119 | - | 1090.91 | ||
GROUP 3 | 436 | 694.22 | - | ||
Prob. | - | 0.536 | 1.000 | ||
Agricultural activity | OWAG | GROUP 1 | 186 | - | 23.4892 |
GROUP 2 | 119 | 13.2202 | - | ||
GROUP 3 | 436 | - | 20.6287 | ||
Prob. | - | 1.000 | 0.359 | ||
Area and land use | NOWOOD | GROUP 1 | 186 | - | 14.9022 |
GROUP 2 | 119 | 13.0496 | 13.0496 | ||
GROUP 3 | 436 | 8.9427 | - | ||
Prob. | - | 0.055 | 0.554 | ||
FOFAST | GROUP 1 | 186 | 37.9074 | - | |
GROUP 2 | 119 | 40.0302 | 40.0302 | ||
GROUP 3 | 436 | - | 44.9564 | ||
Prob. | - | 0.618 | 0.075 | ||
FO | GROUP 1 | 186 | - | 62.6720 | |
GROUP 2 | 119 | 61.1765 | 61.1765 | ||
GROUP 3 | 436 | 57.1789 | - | ||
Prob. | - | 0.139 | 0.758 | ||
FOSLOW | GROUP 1 | 186 | - | 3.4406 | |
GROUP 2 | 119 | 2.4166 | 2.4166 | ||
GROUP 3 | 436 | 1.4622 | - | ||
Prob. | - | 0.254 | 0.206 | ||
FOWOOD | GROUP 1 | 186 | 41.3481 | - | |
GROUP 2 | 119 | 42.4467 | - | ||
GROUP 3 | 436 | 46.4186 | - | ||
Prob. | - | 0.052 | - |
Discussion
As established by White et al. ([99]), media analysis allow the differentiation of parishes with MVMC in relation to the importance of social conflict. The most commonly-used technique for differentiating between social groups is the survey ([6], [54]). However, the methodology used in this study has three major advantages over surveys: (1) the study can be carried out on a greater scale; (2) obtaining information is cheaper; and (3) the value of the results is different, as it is not based on the participants’ opinion. As highlighted by Meitner et al. ([61]), it is important to know the opinion of society concerning the management of common resources. Other authors ([69], [41]) also showed the importance of taking into account society’s opinion for the improvement of management efficiency.
Of the 1731 parishes with MVMC included in this study, 57.2% showed a passive attitude towards the management of their lands (no news items recorded). Schlueter ([88]) defined passivity or apathy as a lack of interest in the management of these resources. There are historical reasons for this. Several authors reported as the main reason for this passivity the unstable legal process regarding the ownership of common lands throughout the 20th century ([5], [53], [55], [54]). MVMC have undergone changes in ownership, going from private to public, and then from public to collectively-owned private lands, which is their current legal status ([23]). Another factor that may explain this lack of interest is the decline of the traditional agricultural model of the region ([27], [84]). Such decline has meant that the number of commercially-run farms has been drastically reduced to only 15% of those existing in the middle of the 20th century. Linked to this decline in farms has been a decrease in the financial gains from MVMC ([33]). The third factor is the decline in rural population levels ([78]). At the beginning of the 21th century, the rural population was one-quarter of what it was a century before. It may be hypothesized that the main arguments justifying the extreme lack of interest in such properties throughout most of the region are legal insecurity regarding land tenancy, lack of demand for the natural resources provided by MVMC, and lack of people with interest and ability to manage the land.
These lands were returned to the residents of the parishes as commonly-owned lands over the last three decades of the 20th century. Mattson et al. ([58]) highlighted the importance of training the owners of natural resources in land management. Others demonstrated that major conflicts can arise if land is not properly managed ([91], [37]). Gómez-Vázquez et al. ([32]) reported about the extent of conflicts over commonly-owned lands in this area. It is also worth to notice that when these lands were returned, landowners and managers were not properly trained and there was no land management organization, which caused conflicts and overexploitation ([21], [72]). Lack of management experience, the absence of connections between the different communities, and historical land disputes were common causes of increased conflict over these lands in different areas ([1], [57]). As demonstrated by Hovardas & Korfiatis ([41]), lack of clarity about rights and obligations, both within the community of owners itself and between the community and other neighboring communities, results in increased conflict in the area of management. Ostrom ([74]) pointed out that “in order to effectively govern and manage a common-pool resources some form of property-rights system must be developed”.
Fig. 6 presents a schematic of the distribution in Galicia of the different groups obtained and the characteristics of the areas they represent. The largest group generated less than 33% of the news items related to conflict (GROUP 3), and it consisted of 436 parishes, represented by 25.2% of all parishes with MVMC. In this group, geographically located in coastal areas, management was of greater importance. The demographic process in these areas was the opposite of that throughout the rest of the region as there was a major increase in the number of inhabitants and variation in the characteristics of the population. The profile varied from rural to rural/urban ([7]), the primary sector used to be the economic driving force, but now the secondary and tertiary sectors fulfill this role. These changes have meant that the demands of the new societies who own the mountain land are very different from those of the farmers and stock holders who used to own them, as highlighted by Gómez-Vázquez et al. ([32]). The new owners and managers, who have no links to primary activities of this type, demand that the common areas provide services related to the enjoyment of nature. The results obtained for this group show that, while there is a certain amount of conflict related to the existence of different socioeconomic groups, a management model that responds to the demands of community members for goods and services results in the use of land for different types of activities. As started by Steins & Edwards ([93]), when an important social, institutional or territorial change takes place in common resources, “the institutional framework governing resource use has to be re-negotiated to avoid adverse impacts associated with the increased access of any new stakeholders, such as overexploitation, alienation of traditional users, and inter-user conflicts”. Second, it seems that common lands are playing an important role in the socioeconomic development of these areas ([76], [56]). Their level of involvement in the rules regarding land use is going to be related to their willingness to follow and supervise their implementation, which is going to be much higher than when imposed by authorities ([73]).
Fig. 6 - Schematic representation of the characteristics of the areas (activities, territory, population and conflicts) for the three parish groups identified in this study.
GROUP 1 was the second-largest group and included parishes where over two-thirds of the news items were about situations of conflict. In these parishes, inland areas of the region of valleys and mountains, livestock farms are active but the population is declining and growing old. The most reasonable explanation for this is that the new uses for the land (mainly as a source of energy) spark financial interest, together with the traditional wish for the division of land into individual parcels ([54]). This in turn is the root cause of much conflict ([91]), either within the community ([12]), with institutions ([42]) or with energy companies ([18]). As such, adjusting to a new socioeconomic situation has led to significant changes in land use and in traditional management practices within an unstable legal, financial and demographic framework ([40], [102], [77], [86]).
GROUP 2 was the third largest group, and showed a balance between the news items reported due to management, and those due to conflict. This group shared some aspects of the two previous cases. The first remarkable aspect was certain changes in the population that resulted in active management, which was often increased with the emergence of new sources of finance. For example, the use of renewable energy, teamed with conflicts regarding the management model applied ([31]). The second aspect is that conflict is still a relevant issue in management participation, but with a smaller degree of representation of the total number of parishes about which news items were published.
The results reported in Tab. 1 and those of the Fig. 3, Fig. 4, Fig. 5 and Fig. 6, suggest that there are two main types of MVMC distributed across two geographical areas of Galicia with different social, cultural and economic realities. The evolution of population is the key in such a differentiation ([75]), and the trends of population loss or growth since the 1950s are at the origin of this behavior. The population growth in some areas (e.g., those corresponding with GROUP 3) has increased the number of newcomers to rural areas, who introduced new criteria for land management: they automatically acquired the right to manage the forest, but their opinion on what to do and how can differ from formerly established trends. For instance, newly demanded uses like leisure activities, biodiversity protection, energy production (e.g., windfarms and solar panels), food production linked to forest (e.g., mushrooms, berries and agroforestry) or the adoption of new technologies and methods for agriculture and forestry production may spatially concur in the same forest thus requiring more complex ways of management. Conversely, in other areas the loss of population generates a complete lack of interest ([65]).
There were seven variables related to population, agriculture and land use that influence any differences between the various types of parishes (Tab. 4), leading to a more detailed explanation of the relationship between conflict and management. For the population in 2006, the number of inhabitants seemed to influence the relationship between conflicts and management ([90]). This affects both the level of demand for goods and services and the management models of commonly-owned land, which leads to situations of conflict ([95]). Groups of parishes with more inhabitants can give rise either to situations of extreme or low levels of conflict. In areas where agricultural activity is more prevalent, it is linked to a higher demand for resources and so to greater levels of conflict ([22]), for instance due to grazing ([85]). Marey-Pérez et al. ([53], [55]) pointed out that the continuation of agricultural activity in MVMC is linked to more active management models, which promote the existence of stable models with a lesser degree of conflict.
The distribution of wooded forest area in each parish analyzed as percentages (Fig. 7) shows the importance of the use of these lands for forestry purposes. An increase in the area of forest land without trees is a symptom of lack of management and of a higher number of conflicts that is clearly manifest in repeated forest fires ([17], [32]). This results in vegetation consisting of scrub ([63], [77]). Several authors found that the main causes of forest fires are socioeconomic in nature ([96], [51]). Marey-Pérez & Rodríguez-Vicente ([54]) included conflicts resulting from communal management and ownership as the main causes in this region. If the situation were reversed, there would be areas of wooded forest area, which is a clear indicator of no recent forest fires ([68]).
In areas where the topographical conditions and forest productivity allow for an increase in fast-growing cash crops, the communities that own the land experience a lesser degree of conflict, because income is received sooner, resulting in improved management ([65]). By contrast, in other areas where forest productivity conditions have made it necessary to resort to slower-growing species, management models to resolve conflicts have been created, which has made it possible to maintain forestry activities.
Conclusions
Digital records of local and regional media have been shown to provide an opportunity to discover the opinions of society reasonably quickly and inexpensively, thus making it possible to analyze and diagnose territorial management problems. Collectively-owned private property has been shown to play an important role in the development of the economy of this region. The methodology presented, based on the compilation, analysis and representation of social opinions about activity in common lands, has made it possible to evaluate the different management models used by the owners of these lands. Different authors ([102], [40], [70], [4], [12], [48]) have analyzed the social changes and how they have influenced the management models of collective private forest land.
Results showed the existence of different spatial distribution of the relationship between management and conflict, taking into account their different origins and causes. This variability has been caused by demographic trends and lack of training in management models for this type of property. The most active group of parishes is characterized by a high number of management proposals and a low level of conflict, and this is reflected in the presence of wooded forest area. The parishes with a high number of conflicts have no planned management models and do not use the land for any purpose, with the result that forest areas are covered with scrub.
This project has emphasized rural depopulation as the main problem affecting Galicia. The availability of MVMC provides an opportunity for development and promotion of economic activities linked to the forestry sector that can slow down the decline in population.
Over the past 40 years, the implementation of an efficient management model in the whole territory has failed, as demonstrated by the large number of communities lacking any form of management activity over time. This unsustainable development of forestry is a loss of opportunities in many parishes. Another significant group of parishes has tried to develop models and mechanisms for the land management. However, due to the lack of training and of reference models, and as a result of disputes both within and between parishes, it has been impossible to implement productive activities, leading ultimately to increased abandonment.
Even if in the case of Galicia we are dealing with under-exploitation, it will be necessary to consider in the future that over-harvesting of natural resources is a time-consuming and difficult task ([73]), since it needs “to fit a local ecology and the social structure of the users and officials involved and to avoid crowding out intrinsic motivation”. Mechanisms to resolve conflicts and to encourage owners of communities to set up management models based on sustainable forestry development, have to be implemented in a short time by local policymakers.
In this way, balanced sustainable rural forestry development will help to maintain forest activity in a region with an agricultural history of more than 2000 years.
Acknowledgements
We are grateful to the Galician Government, Xunta de Galicia, Dirección Xeral de Investigación, Desenvolvemento e Innovación, Xunta de Galicia, for funding the project “A decision support system for montes veciñais en man común (DSSMVMC)” (07MRU035291PR).
References
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
CrossRef | Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Gscholar
Authors’ Info
Authors’ Affiliation
Emilio Díaz-Varela
Alexia Calvo-González
Escola Politécnica Superior, Dept. Agroforestry Engineering, University of Santiago de Compostela, E-27002 Lugo (Spain)
Corresponding author
Paper Info
Citation
Marey-Pérez MF, Díaz-Varela E, Calvo-González A (2014). Does higher owner participation increase conflicts over common land? An analysis of communal forests in Galicia (Spain). iForest 8: 533-543. - doi: 10.3832/ifor1060-008
Academic Editor
Raffaele Lafortezza
Paper history
Received: Jun 27, 2013
Accepted: Oct 16, 2014
First online: Dec 01, 2014
Publication Date: Aug 02, 2015
Publication Time: 1.53 months
Copyright Information
© SISEF - The Italian Society of Silviculture and Forest Ecology 2014
Open Access
This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Web Metrics
Breakdown by View Type
Article Usage
Total Article Views: 48408
(from publication date up to now)
Breakdown by View Type
HTML Page Views: 41801
Abstract Page Views: 2556
PDF Downloads: 2968
Citation/Reference Downloads: 42
XML Downloads: 1041
Web Metrics
Days since publication: 3643
Overall contacts: 48408
Avg. contacts per week: 93.02
Article Citations
Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)
Total number of cites (since 2015): 8
Average cites per year: 0.89
Publication Metrics
by Dimensions ©
Articles citing this article
List of the papers citing this article based on CrossRef Cited-by.
Related Contents
iForest Similar Articles
Research Articles
Public participation GIS to support a bottom-up approach in forest landscape planning
vol. 6, pp. 347-352 (online: 29 August 2013)
Technical Advances
Forest planning and public participation: a possible methodological approach
vol. 5, pp. 72-82 (online: 12 April 2012)
Review Papers
Public participation: a need of forest planning
vol. 7, pp. 216-226 (online: 27 February 2014)
Research Articles
Public participation in sustainable forestry: the case of forest planning in Slovakia
vol. 7, pp. 414-422 (online: 19 May 2014)
Research Articles
Communicating spatial planning decisions at the landscape and farm level with landscape visualization
vol. 7, pp. 434-442 (online: 19 May 2014)
Editorials
Spatial information and participation in socio-ecological systems: experiences, tools and lessons learned for land-use planning
vol. 7, pp. 349-352 (online: 19 May 2014)
Research Articles
Big data and evaluation of cultural ecosystem services: an analysis based on geotagged photographs from social media in Tuscan forest (Italy)
vol. 12, pp. 98-105 (online: 11 February 2019)
Research Articles
Forest and tourism: economic evaluation and management features under sustainable multifunctionality
vol. 2, pp. 192-197 (online: 15 October 2009)
Short Communications
The Polish landscape changing due to forest policy and forest management
vol. 2, pp. 140-142 (online: 30 July 2009)
Review Papers
Large-scale effects of forest management in Mediterranean landscapes of Europe
vol. 6, pp. 342-346 (online: 29 August 2013)
iForest Database Search
Search By Author
Search By Keyword
Google Scholar Search
Citing Articles
Search By Author
Search By Keywords
PubMed Search
Search By Author
Search By Keyword