The Importance of Representative Sampling for Home Range Estimation in Field Primatology
The Importance of Representative Sampling for Home Range Estimation in Field Primatology
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DOI：
10.1007/s10764-023-00398-z
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发表时间：
2023-10
影响因子：
2.5
通讯作者：
Odd T. Jacobson;Margaret C. Crofoot;Susan E Perry;Kosmas Hench;Brendan J. Barrett;Genevieve E. Finerty
中科院分区：
文献类型：
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作者：
Odd T. Jacobson;Margaret C. Crofoot;Susan E Perry;Kosmas Hench;Brendan J. Barrett;Genevieve E. Finerty
了解动物满足其生物学需求所需的空间量对于理解它们的行为、它们在社区中的生态作用以及有效的保护规划和资源管理至关重要。通常使用手持式 GPS 设备来研究已习惯的灵长类动物的空间使用模式，这些设备提供详细的运动信息，可以将测距和空间使用模式与生成这些模式的行为决策联系起来。然而，这些数据可能无法准确地代表动物的总运动，当所需的推断处于家庭范围范围内时，就会带来挑战。为了解决这个问题，我们使用了 11 组白面卷尾猴（Cebus capucinus imitator）的 13 年数据集来研究样本大小、规律性和时间覆盖等采样元素对活动范围估计准确性的影响。我们发现，只要在较长时间段内收集数据，就可以通过相对较小的绝对样本量和不规则采样来进行准确的居住范围估计。此外，由于未捕获空间使用和潜在运动行为的变化，集中采样可能会导致偏差和过度自信。通过最大化分布在比目标物种的活动范围跨越时间尺度长得多的时间段上的独立位置数据，改进了依靠手持式 GPS 进行活动范围估计的采样协议。
Understanding the amount of space required by animals to fulfill their biological needs is essential for comprehending their behavior, their ecological role within their community, and for effective conservation planning and resource management. The space-use patterns of habituated primates often are studied by using handheld GPS devices, which provide detailed movement information that can link patterns of ranging and space-use to the behavioral decisions that generate these patterns. However, these data may not accurately represent an animal’s total movements, posing challenges when the desired inference is at the home range scale. To address this problem, we used a 13-year dataset from 11 groups of white-faced capuchins (Cebus capucinus imitator) to examine the impact of sampling elements, such as sample size, regularity, and temporal coverage, on home range estimation accuracy. We found that accurate home range estimation is feasible with relatively small absolute sample sizes and irregular sampling, as long as the data are collected over extended time periods. Also, concentrated sampling can lead to bias and overconfidence due to uncaptured variations in space use and underlying movement behaviors. Sampling protocols relying on handheld GPS for home range estimation are improved by maximizing independent location data distributed across time periods much longer than the target species’ home range crossing timescale.