Spatial Optimization and Dynamic Model for Marine Protected Area Planning / 空間優化與動態模式應用於海洋保護區之規劃

博士 / 國立中山大學 / 海洋環境及工程學系研究所 / 104 / The systematic approach had been recognized as one of the most effective tools for Marine Protected Area (MPA) planning. But MPA planning still exist many uncertainty in the real world, ex. the effect of MPA planning and the support of stakeholders or neighbors. In recent years, there are many researches using Spatial Optimization Model for MPA planning, but only can provide “current optimal results” for decision marker. Decision marker couldn’t know the real effectiveness of MPA in the future, and stakeholders also couldn’t know their benefit would be affected or not. The Adaptive Management is a good management way for MPA, it can help decision marker deal with the uncertainty of environment and ecology in MPA management for sustainable development. But traditional Adaptive Management have to collect long term observer data and the feedback from MPA in order to improve MPA management. Therefore, the Adaptive Management is difficult to implement. In this study, we integrate the Spatial Dynamics Model for Ecosystem and the Spatial Optimization Model as an Integrative Spatial Optimization and Dynamic Model for MPA Planning. This Integrative model not only can generate the optimal spatial MPA allocation for user, but also can provide the social economic and ecological assessment for MPA establish. The decision marker and the stakeholders can using these assessments from our model to discuss witch MPA planning could share a common interest for sustainment. In the result, we demonstrate two integrate methods and compare the effectiveness in different MPA spatial planning for long term MPA planning In Nanwan bay.

Identiferoai:union.ndltd.org:TW/104NSYS5282006
Date January 2015
CreatorsHung-Chih Cheng, 鄭弘志
ContributorsYang-Chi Chang, 張揚祺
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format83

Page generated in 0.0014 seconds