Issue |
E3S Web Conf.
Volume 211, 2020
The 1st JESSD Symposium: International Symposium of Earth, Energy, Environmental Science and Sustainable Development 2020
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 17 | |
Section | Sustainable Cities and Communities | |
DOI | https://doi.org/10.1051/e3sconf/202021101007 | |
Published online | 25 November 2020 |
Seasonal calendar by the Sama-Bajau people: Focusing on the wind calendar in Banggai Islands
Graduate School of Asian and African Area Studies, Kyoto University, 46 Yoshidashimoadachicho, Sakyo Ward, Kyoto 606-8304, Japan
* Corresponding author: maknaknet1@me.com
In local societies, people utilize indigenous ecological knowledge to engage in their livelihood. The study draws from a comparison of the indigenous calendars based on seasonal winds used by the Sama-Bajau fishermen in Banggai Islands, Central Sulawesi, Indonesia. In previous studies about Sama-Bajau people, their ecological background of fishing activity was overlooked, and their seasonal calendar in coral reef area was only reported. This study conducted a qualitative research through semi-structured interviews and participant observation in four settlements. Based on a comparison between the main and other settlements, the study analyzed their indigenous ecological calendar using scientific data and comparing with other society’s data. The results revealed that the classifications of each calendar are critically different. Therefore, according to interviewees, they cannot determine if they previously resided in a region. The findings also suggested that they recognize seasons with a punctual and an irregular classification. Today, they face a contradiction between the indigenous seasonal and modern calendars. Given this problem, a relationship of antagonism and harmony with seasonal knowledge and modern knowledge is observed. A discussion of their adaptation process regarding the diachronic maritime ecology is provided.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.