The role of social networks in forest landscape planning

Paletto, Alessandro; Ferretti, Fabrizio; Meo, Isabella De

doi:10.1016/j.forpol.2011.11.007

Cited by 25 publications

(20 citation statements)

References 31 publications

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“…This is most likely due to the planning culture. In specific, a reason can be the planning approach that primarily aims to ensure the due consideration to all stakeholder groups, to involve as many stakeholders as possible, to identify key-actors and therefore facilitate bottom-up decision processes (Paletto et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

The usefulness of Decision Support Systems in participatory forest planning: a comparison between Finland and Italy

Meo¹,

Ferretti

Hujala³

et al. 2013

For. syst.

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Aim of study: Participation of stakeholders is considered an essential element in producing, at different spatial and temporal scales, forest plans accepted by local community and fulfilling the requirements of Sustainable Forest Management. Increasingly, computer-based decision support systems (DSS) and tools are being introduced to assist stakeholders and decision-makers in coping with the complexities inherent in participatory forest planning. The study aimed to investigate how useful the users and researchers see DSS tools and which opportunities they perceive DSS might carry for enhancing participatory forest planning in their field of activity.Area of study: 15 Italian and Finnish researchers and practitioners were interviewed.Material and Methods: Face-to-face structured interviews were used to collect opinions and experiences. Quantitative and qualitative information were analyzed to investigate differences between Italian and Finnish respondents as well as between researchers and practitionersMain results: Results showed that in Italy there has been more focus on forest-level and medium-term problems and the intelligence phase, while in Finland there has been more attention to region-level and long-term problems and equally intelligence, design, and choice phases of decision-making. Deviations probably reflect different planning contexts and culture, variability in experiences and expertise in DSS and in availability of suitable DSS.Research highlights: The study suggests to pay attention to evaluating the success criteria of participatory planning when preparing for the use of DSS and related tools in practical forest planning processes. Experience sharing is a key to reaching more successful use of DSS.Keywords: computer-based decision support; participatory processes; spatial scale; success criteria; temporal scale; users' perception.

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Section: Discussionmentioning

confidence: 99%

The usefulness of Decision Support Systems in participatory forest planning: a comparison between Finland and Italy

Meo¹,

Ferretti

Hujala³

et al. 2013

For. syst.

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show abstract

“…The first three represent the cognitive dimensions of social capital, while network relationships capture the structural dimension (Paletto et al 2012). In addition to, but separate from these two dimensions, studies have shown the importance of connections within, between, and beyond communities, known as bonding, bridging, and linking social capital (Woolcock 2001, Pretty andSmith 2004).…”

Section: Social Capital and Private Land Protectionmentioning

confidence: 99%

Networking for conservation: social capital and perceptions of organizational success among land trust boards

Ruseva¹,

Farmer²,

Chancellor³

2016

E&S

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ABSTRACT. As an important component in collaborative natural resource management and nonprofit governance, social capital is expected to be related to variations in the performance of land trusts. Land trusts are charitable organizations that work to conserve private land locally, regionally, or nationally. The purpose of this paper is to identify the level of structural and cognitive social capital among local land trusts, and how these two types of social capital relate to the perceived success of land trusts. The analysis integrates data for land trusts operating in the U.S. south-central Appalachian region, which includes western North Carolina, southwest Virginia, and east Tennessee. We use factor analysis to elicit different dimensions of cognitive social capital, including cooperation among board members, shared values, common norms, and communication effectiveness. Measures of structural social capital include the size and diversity of organizational networks of both land trusts and their board members. Finally, a hierarchical linear regression model is employed to estimate how cognitive and structural social capital measures, along with other organizational and individual-level attributes, relate to perceptions of land trust success, defined here as achievement of the land trusts' mission, conservation, and financial goals. Results show that the diversity of organizational partnerships, cooperation, and shared values among land trust board members are associated with higher levels of perceived success. Organizational capacity, land trust accreditation, volunteerism, and financial support are also important factors influencing perceptions of success among local, nonprofit land trusts.

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“…The forest area covers 51.2% of the district: of this forest area, privately owned forests occupy approximately 34% and common forests 53%, whereas the remaining 13% are public forests. Public and common forests belonging almost exclusively to municipalities are managed by Ente Foreste Sardinia (Paletto, Ferretti, and De Meo 2012b), while environmental monitoring is the responsibility of the Regional Military Forest Service (CFVA). Generally in the Arci-Grighine district, the private forest owners are farmers and members of the main farmers' associations.…”

Section: Study Areasmentioning

confidence: 99%

“…In the consultation stage (3), opinions and understanding, expectations, and needs of the stakeholders are gathered. In the case studies, a semistructured face-to-face interview is conducted with the stakeholders identified in the second stage (Paletto, Ferretti, and De Meo 2012b). The information collected with the semistructured interviews concerned the preferences for forest functions, social capital of the area, and historical and current relationship between people and territory.…”

Section: Participatory Process In Forest Landscape Management Planningmentioning

confidence: 99%

Social Network Analysis to Support Stakeholder Analysis in Participatory Forest Planning

Paletto¹,

Hamunen

Meo

2015

Society & Natural Resources

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The role of social networks in forest landscape planning

Cited by 25 publications

References 31 publications

The usefulness of Decision Support Systems in participatory forest planning: a comparison between Finland and Italy

The usefulness of Decision Support Systems in participatory forest planning: a comparison between Finland and Italy

Networking for conservation: social capital and perceptions of organizational success among land trust boards

Social Network Analysis to Support Stakeholder Analysis in Participatory Forest Planning

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