Research Article
Social Network Analysis of Aquaculture Projects on Provisioning Services Enhancement of Peatland Forest Ecosystem in Central Kalimantan, Indonesia
Francisca Mutwa Kilonzi1*, Takahiro Ota1, Kazuhiko Moji2 and Aswin Usup31School of Fisheries and Environmental Sciences, Nagasaki University, Nagasaki, Japan
2School of Tropical Medicine and Global health, Nagasaki University, Nagasaki, Japan
3P2KLH-LPPM, University of Palangkaraya, Central Kalimantan, Indonesia
- *Corresponding Author:
- Francisca Mutwa Kilonzi
Ph.D, School of Fisheries and Environmental Sciences
Nagasaki University, Nagasaki, Japan
Tel: +810891080729
E-mail: franciscakarem@gmail.com
Received Date: July 19, 2017; Accepted Date: July 29, 2017; Published Date: August 05, 2017
Citation: Kilonzi FM, Ota T, Moji K, Usup A (2017) Social Network Analysis of Aquaculture Projects on Provisioning Services Enhancement of Peatland Forest Ecosystem in Central Kalimantan, Indonesia. J Ecosyst Ecography 7: 238. doi:10.4172/2157-7625.1000238
Copyright: © 2017 Kilonzi FM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Improper implementation of peatland forest activities has altered the forest ecosystem resulting to near extinct or degradation of the peatland forest and its biodiversity. This research focuses on stakeholder attribute analysis for successful management of the aquaculture projects to ensure enhancement of provisioning services (fish) in the streams, ponds and rivers in the peat forest by providing an alternative source of fish to the community in a case study of Hampangen village, central Kalimantan in Indonesia. The exclusive features in our analysis shows that the income of the stakeholders or their educational level do not necessarily influence their roles and position in the leadership network nor determine the ES usage from the forest. This research challenges the mainstream understanding on stakeholders’ selection based on educational background or income levels. From our study, we propose stakeholder selection based on social network attributes for a successful group or communal project management.