17:15 〜 19:15
[U04-P04] Identifying Potential OECMs of Coastal Regions in Taiwan by Automatic Identification System
キーワード：Other Effective Area-Based Conservation Measures (OECM), Automatic Identification System (AIS) data, Stakeholders
The Taoyuan algae reef (Figure 1), stretching approximately 21 kilometers from Zhuwei Fishing Harbor to Yongan Fishing Harbor, is Taiwan's largest and most intact algae reef ecosystem. However, due to the water intake and outfall pipeline engineering of Taiwan Power Company (TPC) at the Datan Power Station, the whole algae reef area has been divided into three sections: G1, G2, and G3. Additionally, the development of Chinese Petroleum Corporation’s (CPC Corporation) Guantang Liquefied Natural Gas (LNG) Terminal (hereafter referred to as the " Third LNG Terminal") poses potential threats to the algae reef and coral reef ecosystems, sparking controversies over conservation and energy development. The tension between protecting valuable ecosystems, like the Taoyuan algae reef, and the pressures from industrial development, which can undermine conservation efforts if not carefully managed. The concept of Other Effective Area-Based Conservation Measures (OECMs) could serve as a potential solution to manage such conflicts, offering a way to protect ecosystems while accommodating development needs.
This study aims to explore the potential OECMs of Taiwan coastal regions by Automatic Identification System (AIS). Grid-based vessel density from the AIS, which illustrates the spatiotemporal distribution of human activities, serves as a key tool for marine spatial planning, facilitating the identification of potential OECMs and its management boundary. Given that construction of the Third LNG Terminal began in November 2019, AIS dataset of fishing vessels recorded between November 2019 and September 2024 is applied to calculate the averaged fishing vessel activities. To map those activities in Taoyuan algae reef area, the exclusive fishing rights of the Taoyuan Zhongli District Fishermen’s Association are also analyzed.
Findings of those mapping output will serve as potential OECMs for biodiversity conservation in Taoyuan coastal regions. Moreover, OECMs are expected to receive greater resources and support, thereby enhancing their feasibility and effectiveness through proactive monitoring and management by CPC Corporation, the owner of the Third LNG Terminal, along with active stakeholder engagement.
This study aims to explore the potential OECMs of Taiwan coastal regions by Automatic Identification System (AIS). Grid-based vessel density from the AIS, which illustrates the spatiotemporal distribution of human activities, serves as a key tool for marine spatial planning, facilitating the identification of potential OECMs and its management boundary. Given that construction of the Third LNG Terminal began in November 2019, AIS dataset of fishing vessels recorded between November 2019 and September 2024 is applied to calculate the averaged fishing vessel activities. To map those activities in Taoyuan algae reef area, the exclusive fishing rights of the Taoyuan Zhongli District Fishermen’s Association are also analyzed.
Findings of those mapping output will serve as potential OECMs for biodiversity conservation in Taoyuan coastal regions. Moreover, OECMs are expected to receive greater resources and support, thereby enhancing their feasibility and effectiveness through proactive monitoring and management by CPC Corporation, the owner of the Third LNG Terminal, along with active stakeholder engagement.