一个框架来建模适应性搜索强度对丰富性调查效率的影响
Laura Jiménez1, John R Fieberg2,3, Michael McCartney2
1School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Ecology
|August 8, 2024
概括
在丰富度调查中优化搜索者行为显著改善了人口密度估计. 这一框架提高了调查的效率和准确性,特别是对于斑马等入侵物种.
科学领域:
- 生态生态学 生态生态学
- 人口生物学 人口生物学
- 保护科学 保护科学
背景情况:
- 丰度调查对于生态监测至关重要,但搜索工作对估计质量的影响往往被忽视.
- 最佳食理论为了解搜索者行为如何影响数据收集效率提供了基础.
研究的目的:
- 开发一个时间预算建模框架,将搜索强度与密度联系起来,在丰富性调查中精确估计精度.
- 确定最佳的搜索者行为,以最大限度地提高人口密度估计的质量.
- 评估框架对现实世界调查数据的应用,并为更广泛的使用提供模拟工具.
主要方法:
- 建立了一个基于最佳食理论的建模框架,将搜索强度与调查单位数量,检测概率和密度估计精度相连接.
- 将框架应用于明尼苏达州斑马 (Dreissena polymorpha) 的平方和移除调查数据.
- 开发模拟工具来分析各种常见的调查设计.
主要成果:
- 调整搜索者的行为,在不改变总调查时间的情况下,从移除调查中提高了高达60%的斑马密度估计.
- 该框架预测了一个关键人口密度值,在这个值下,移除调查在低密度下是最佳的,在高密度下是正方形调查.
- 获得的洞察力可以通过优化搜索者行为或分离密度和检测估计来改善高密度情况下的调查性能.
结论:
- 开发的时间预算框架为优化丰度调查设计和执行提供了一种新的方法.
- 调整搜索者的行为是提高人口密度估计精度的关键因素.
- 这些发现适用于广泛的调查方法和生态环境,特别是对入侵物种的管理.
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