2-s2.0-85060857502

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[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© Penerbit UMT.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 centrality=14.93%; betweenness centrality=11.73%) 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.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Behavior pathways model,Community-based forest management,Connectance,Ecological network analysis,West Java[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]This research was part of the doctoral program at the School of Life Sciences and Technology, ITB and funded by Directorate General of Higher Education, Ministry of Research, Technology and Higher Education through scholarship by BPPDN to Pujo. We also would like to thank the local community of Cinanjung and Cisempur Village who supported the completion of this study[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]