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在预测隐形蛇的密度时,每单位努力捕获的准确性对空间覆盖率的减少比时间覆盖率更为敏感
Melia G Nafus1, Emma B Hanslowe2, Scott M Goetz1,2
1U.S. Geological Survey, Pacific Island Ecosystems Research Center, Hawai'i National Park, Hawaii, United States of America.
PloS one
|February 10, 2025
概括
使用视觉调查的每单位捕获力 (CPUE) 可以准确估计棕树蛇的密度. 然而,可靠的丰度监测需要对神秘物种进行广泛的空间采样 (>50%的面积).
科学领域:
- 野生动物种群监测,野生动物种群监测.
- 生态调查方法 生态调查方法
- 类学 类学 类学
背景情况:
- 准确的野生动物种群监测对于保护和管理至关重要.
- 由于人口普查的限制,估计人口规模通常依赖于间接的方法,例如每单位努力 (CPUE) 的捕获.
- 验证CPUE作为人口趋势指数的精度和准确性至关重要.
研究的目的:
- 通过视觉调查和捕获来验证每单位努力 (CPUE) 的捕获,作为棕色树蛇 (Boiga irregularis) 密度的预测指标.
- 评估减少采样强度 (时间和空间) 对CPUE估计准确性的影响.
- 为了确定所需的采样努力,以可靠地估计神秘蛇种群的丰度.
主要方法:
- 在5公的围内进行了为期6年的研究,棕树蛇数量正在下降.
- 采用完整的人口普查,标记,并利用捕捉和视觉调查来收集数据.
- 根据陷夜和调查的公里计算CPUE,并使用回归分析预测蛇的密度,稀释数据以模拟减少采样.
主要成果:
- 基于陷的CPUE显示没有与实际蛇密度的统计关系.
- 来自视觉调查的CPUE在空间和时间采样强度高时准确预测了密度.
- 视觉调查CPUE在空间覆盖率高 (>50%的面积) 时仍然强大,但在空间覆盖率低于50%时,准确性迅速下降.
结论:
- 视觉调查提供了相对准确的棕树蛇密度的测量与足够的空间采样努力.
- 只有当采样覆盖大部分研究区域 (> 50%) 时,CPUE才能可靠地估计神秘蛇的丰度趋势.
- 密集的空间采样对于CPUE在监测蛇种群的准确性和精确性至关重要.
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