Chin J Schisto Control ›› 2017, Vol. 29 ›› Issue (4): 420-425.

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Study of spatial stratified sampling strategy of Oncomelania hupensis snail survey based on plant abundance

WANG Xun-ping1| ZHAO An1| 2*   

  1. 1 School of Geography and Environmental Sciences| Jiangxi Normal University| Jiangxi Province| Nanchang 330022| China; 2 Key Laboratory of Poyang Lake Wetland and Watershed Research| Ministry of Education| Jiangxi Normal University| China
  • Online:2017-08-28 Published:2017-08-28
  • Contact: ZHAO An

以植物丰度为辅助变量的钉螺空间分层采样研究

汪训平1|赵安1|2*   

  1. 1江西师范大学地理与环境学院(南昌330022);2江西师范大学鄱阳湖湿地与流域研究教育部重点实验室
  • 通讯作者: 赵安
  • 作者简介:汪训平|男|硕士研究生。研究方向:GIS与遥感应用研究
  • 基金资助:
    国家自然科学基金(81260449);江西省教育厅科技项目(CJJ12185)

Abstract: To optimize and simplify the survey method of Oncomelania hupensis snails in marshland endemic regions of schistosomiasis, so as to improve the precision, efficiency and economy of the snail survey. Methods A snail sampling strategy (Spatial Sampling Scenario of Oncomelania based on Plant Abundance, SOPA) which took the plant abundance as auxiliary variable was explored and an experimental study in a 50 m×50 m plot in a marshland in the Poyang Lake region was performed. Firstly, the push broom surveyed data was stratified into 5 layers by the plant abundance data; then, the required numbers of optimal sampling points of each layer through Hammond McCullagh equation were calculated; thirdly, every sample point in the line with the Multiple Directional Interpolation (MDI) placement scheme was pinpointed; and finally, the comparison study among the outcomes of the spatial random sampling strategy, the traditional systematic sampling method, the spatial stratified sampling method, Sandwich spatial sampling and inference and SOPA was performed. Results The method (SOPA) proposed in this study had the minimal absolute error of 0.213 8; and the traditional systematic sampling method had the largest estimate, and the absolute error was 0.924 4. Conclusion The snail sampling strategy (SOPA) proposed in this study obtains the higher estimation accuracy than the other four methods.

Key words: Plant abundance; Oncomelania hupensis; Sampling optimization; Hammond McCullagh equation

摘要: 目的 优化湖沼型血吸虫病流行区钉螺调查方法,为提高查螺效率提供依据。方法 基于一处50 m×50 m的草洲范围内推扫式的钉螺调查数据,提出一种基于植物丰度分布特征为辅助变量的钉螺空间采样策略;根据植物丰度数据进行空间分层,通过Hammond McCullagh 方程计算各子区域内的最优采样点数量;采用多向插值离散度的空间采样布局方案(MDI),确定采样点部署策略;并对比空间随机采样、系统采样、空间分层采样和三明治采样。 结果 5种采样策略中,本研究提出的采样策略所得到的抽样绝对误差最小,为0.213 8,系统抽样误差最大为0.924 4。结论 本研究提出的钉螺采样策略能够获得比空间随机采样策略、系统采样策略、空间分层采样策略和三明治采样策略更高的估算精确度。

关键词: 植物丰度;钉螺;抽样优化;Hammond McCullagh方程

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