生物多样性调查和估计用于直线横断采样
Youhua Chen1, Ren-Hong Wang2, Tsung-Jen Shen2
1China-Croatia "Belt and Road" Joint Laboratory on Biodiversity and Ecosystem Services, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
Frontiers in plant science
|November 29, 2023
概括
生态学家现在可以通过使用新的马尔科夫链模型来改善生物多样性估计,该模型可以考虑现场调查中的非独立采样. 这种方法提高了准确性,而传统方法可能会误导.
科学领域:
- 生态生态学 生态生态学
- 生物多样性研究的研究.
- 统计建模 统计建模
背景情况:
- 生物多样性调查经常面临实际限制,导致非随机抽样设计.
- 共同的生物多样性估计器假定独立采样,这在实践中可能会被违反.
- 不独立采样可能会损害生物多样性估计的准确性.
研究的目的:
- 开发一种统计方法,以考虑生物多样性调查中的非独立采样.
- 提高生态现场研究中生物多样性估计的准确性.
- 提供一种解决方案,用于分析数据的顺序采样方法,如线截面.
主要方法:
- 使用一级马尔科夫链模型来表示顺序采样.
- 导出了一个参数估计器来量化非独立度.
- 将模型应用于来自热带和亚热带森林的实证数据集和 Acacia 物种分布.
主要成果:
- 建议的马尔科夫链模型和估计器在经验测试中表现良好.
- 在亚热带地区使用线截面检测出了显著的非独立采样效应.
- 该方法通过考虑采样依赖性,证明了改进的多样性估计.
结论:
- 马尔科夫链方法为生物多样性估计提供了一个强大的解决方案,采用非独立采样.
- 这种方法特别适用于采用顺序采样技术的现场调查.
- 准确的生物多样性评估需要承认和建模采样非独立性.
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