Collaborative behavior network on management of mount geulis protected forest at Sumedang Regency West Java Province Indonesia


Citation

Hutomo Pujo, . and Sofhani Tubagus Furqon, . and Gunawan Budhi, . and Syamsudin Tati Suryati, . Collaborative behavior network on management of mount geulis protected forest at Sumedang Regency West Java Province Indonesia. pp. 85-102. ISSN 1823-8556

Abstract

Ecosystems are driven by inherent methodical processes and are often regulated by external forces. Ecologically an ecosystem characteristic is influenced by their interaction processes as being generated by the activities of its community members. Humans are one of the ecosystem components which are both directly and indirectly influence the processes that occur in the ecosystem. In an ecosystem management the sustainability of the ecosystem depends on the ability to maintain its functions by recognising and elevating the role of the local communities through structured cooperation. Cooperative behavior occurs through a process of development and is indicated by the network connectance. Collaborative behavior networks which are built by cooperative behavior are embedded in the network structure. This study aims to seek the connectance of local communities in a collaborative forest management system by analysing: 1) the structure of collaborative behavior networks and 2) the structural characteristics of collaborative behavior networks. A survey was conducted with 60 respondents selected purposively from the two villages in the Mount Geulis Protected Forest (MGPF) area - Sumedang Regency West Java. To determine the structural characteristics of the collaborative behavior network six variables were measured (degree centrality betweenness centrality closeness centrality eigenvector centrality beta centrality and clustering coefficient). Data analysis was conducted by UCINET VI and the NetDraw Software Program. The results demonstrated that the relationship between the community members of the two villages has yet to formed collaborative behavior. This was indicated by low connectivity (degree centrality14.93; betweenness centrality11.73) between members of the two villages in MGPF management. However the level of dependency was high (eigenvector centrality 0.1588) and there was the existence of an actor which has strong influence (beta centrality 0.8694) as shown by the strong dependency of the community members on the community leader. On the other hand the community members have sufficient ability to reach other members in the network as indicated by the moderate value of closeness centrality (0.5675) and tend to form clusters as indicated by the high clustering coefficient value (1.2674). This phenomenon could be explained by the kinship between members of the communities. The results indicate that the collaborative behavior is not suffice to mobilize community involvement in the management of the MGPF.


Download File

Full text available from:

Abstract

Ecosystems are driven by inherent methodical processes and are often regulated by external forces. Ecologically an ecosystem characteristic is influenced by their interaction processes as being generated by the activities of its community members. Humans are one of the ecosystem components which are both directly and indirectly influence the processes that occur in the ecosystem. In an ecosystem management the sustainability of the ecosystem depends on the ability to maintain its functions by recognising and elevating the role of the local communities through structured cooperation. Cooperative behavior occurs through a process of development and is indicated by the network connectance. Collaborative behavior networks which are built by cooperative behavior are embedded in the network structure. This study aims to seek the connectance of local communities in a collaborative forest management system by analysing: 1) the structure of collaborative behavior networks and 2) the structural characteristics of collaborative behavior networks. A survey was conducted with 60 respondents selected purposively from the two villages in the Mount Geulis Protected Forest (MGPF) area - Sumedang Regency West Java. To determine the structural characteristics of the collaborative behavior network six variables were measured (degree centrality betweenness centrality closeness centrality eigenvector centrality beta centrality and clustering coefficient). Data analysis was conducted by UCINET VI and the NetDraw Software Program. The results demonstrated that the relationship between the community members of the two villages has yet to formed collaborative behavior. This was indicated by low connectivity (degree centrality14.93; betweenness centrality11.73) between members of the two villages in MGPF management. However the level of dependency was high (eigenvector centrality 0.1588) and there was the existence of an actor which has strong influence (beta centrality 0.8694) as shown by the strong dependency of the community members on the community leader. On the other hand the community members have sufficient ability to reach other members in the network as indicated by the moderate value of closeness centrality (0.5675) and tend to form clusters as indicated by the high clustering coefficient value (1.2674). This phenomenon could be explained by the kinship between members of the communities. The results indicate that the collaborative behavior is not suffice to mobilize community involvement in the management of the MGPF.

Additional Metadata

[error in script]
Item Type: Article
AGROVOC Term: Protected forests
AGROVOC Term: Forest management
AGROVOC Term: Ecosystems
AGROVOC Term: Sustainability
AGROVOC Term: Community participation
AGROVOC Term: networks
AGROVOC Term: Community involvement
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 06:29
URI: http://webagris.upm.edu.my/id/eprint/25012

Actions (login required)

View Item View Item