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生态学杂志 ›› 2021, Vol. 40 ›› Issue (4): 1137-1145.doi: 10.13292/j.1000-4890.202104.033

• 研究报告 • 上一篇    下一篇

三沙湾海水养殖区时空动态变化及其影响因素

陈思明*   

  1. (闽江学院海洋学院, 福州 350108)
  • 出版日期:2021-04-10 发布日期:2021-04-14

Spatiotemporal dynamics of mariculture area in Sansha Bay and its driving factors.

CHEN Si-ming   

  1. (Ocean College, Minjiang University, Fuzhou 350108, China).
  • Online:2021-04-10 Published:2021-04-14

摘要: 以Landsat多时相遥感影像为数据源,利用特征指数和面向对象检测法提取三沙湾海水养殖区的空间信息,采用景观格局指数和随机森林算法,分析海水养殖区的时空扩展和形态特征,量化自然、社会和经济因子对海水养殖区时空演变的影响。结果表明:面向对象检测法的提取效果较为良好,其总体精度、Kappa系数分别达81%和0.72以上;2009—2018年三沙湾海水养殖区的斑块面积、斑块密度和形状指数呈现出先增加后减缓的变化趋势,但空间聚集程度却不断增强,表现出由西向东北部呈连续块状分布的聚集特点;海水养殖区的时空演变主要受到渔业生产总值、农林牧副渔从业人员的年均收入、渔用机动船数和年平均风速的影响,其中渔业生产总值、从业人员的年均收入的贡献度最大,其决定系数(R2)达0.77。研究结果可为福建沿海的养殖区规划和生态环境保护提供理论依据。

关键词: 遥感, 时空演变, 驱动机制, 海水养殖区, 三沙湾

Abstract: Based on data derived from Landsat multitemporal remote sensing images, the feature index and object-oriented classification were combined to extract the spatial information of mariculture area in Sansha Bay of Ningde, Northeast Fujian. Landscape pattern index and random forest algorithm were used to analyze the spatial and temporal expansion and morphological characteristics of mariculture areas, and to quantify the effects of natural, social, and economic factors on the spatial and temporal variations of mariculture areas. The results showed that object-oriented classification had a good outcome, with the total accuracy and Kappa coefficient being more than 81% and 0.72, respectively. During 2009 to 2018, patch area, patch density, and landscape shape index showed a trend of first increase and then decrease. The spatial aggregation of mariculture area was increasing, displaying the aggregation characteristics of the continuous block distribution from west to northeast. The spatiotemporal dynamics of mariculture area were mainly affected by the gross fishery production, the mean annual income of employees (agricultural, forestry, animal husbandry, sideline and fishery), the number of fishing motor boats, and the mean annual wind speed. The gross fishery production and the mean annual income of employees were more important in shaping landscape pattern, with a determination coefficient (R2) of 0.77. Our results can serve as a theoretical basis for culture zone planning and ecological environment protection in Fujian coastal areas.

 

Key words: remote sensing, spatiotemporal dynamics, driving factor, mariculture area, Sansha Bay.