Method for assessing the effectiveness of the management of fishing activities in marine protected areas
CN121563268BActive Publication Date: 2026-08-28SECOND INST OF OCEANOGRAPHY MNR
Patent Information
- Application Number
- CN202511770372.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2045-11-28
AI Technical Summary
Technical Problem
海洋保护地的设立旨在通过空间管控减少捕捞压力、恢复资源种群,但由于渔业捕捞活动的时空动态性、海洋环境的复杂性以及管理措施的差异性,传统评估方法难以准确量化保护地对捕捞活动的实际管理效果
Benefits of technology
[0045]本发明基于所需的空间分辨率划分小渔区,将收集到的渔业捕捞努力量数据结合小渔区面积进行标准化处理得到各小渔区捕捞强度;构建小渔区邻接矩阵,识别捕捞强度数据中的空间依赖性和异质性;基于捕捞强度数据的概率分布构建模型参数下贝叶斯方法的似然函数,并分别在时空模型与层次模型中进一步建模;运用马尔可夫链蒙特卡罗算法,输入捕捞强度时间序列及小渔区邻接矩阵首次完成贝叶斯管理有效性时空层次模型的构建;基于贝叶斯管理有效性时空层次模型的后验分布均值,结合渔民捕捞意愿进行渔业捕捞活动管理有效性评估;实现了对捕捞活动时空动态特征的高精度解析,克服了传统静态模型无法捕捉时空动态特征和随机效应的缺陷,显著提升了评估的时空分辨率。此外,本发明突破传统数值均值分析的局限,通过后验分布概率均值量化管理有效性的不确定性,并结合渔民捕捞意愿进行了有效性指标的矫正,为决策者提供“动态可调、风险可控”的科学依据。
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Abstract
The application discloses a kind of for evaluating the method of the effectiveness of the management of marine protected area to fishing activities, based on the fishing intensity of each small fishing area obtained by dividing small fishing area;Adjacent matrix of small fishing area is constructed, and the spatial dependence and heterogeneity in fishing intensity data are identified;Based on the probability distribution of fishing intensity data, the likelihood function of Bayesian method under model parameters is constructed, and further modeling is carried out in spatio-temporal model and hierarchical model respectively;Using Markov chain Monte Carlo algorithm, input fishing intensity time series and small fishing area adjacent matrix complete the construction of Bayesian management effectiveness spatio-temporal hierarchical model;Based on the posterior distribution mean of Bayesian management effectiveness spatio-temporal hierarchical model, combined with the willingness of fisherman fishing, the effectiveness of the management of fishing activities is evaluated.The method realizes high-precision analysis on the spatio-temporal dynamic characteristics of fishing activities, overcomes the defects that traditional static model cannot capture spatio-temporal dynamic characteristics and random effect, and significantly improves the spatio-temporal resolution of evaluation.
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