Autocorrelated data in telemetry studies: time to independence and the problem of behavioural effects
Autocorrelated data in telemetry studies: time to independence and the problem of behavioural effects
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遥测研究中的自相关数据：独立时间和行为影响问题
DOI：
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
T. Hayden
中科院分区：
文献类型：
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作者：
S. Rooney;A. Wolfe;T. Hayden
独立的定位，以减少自相关的影响，往往被认为是一个先决条件，估计家庭范围的大小和利用时，使用来自遥测研究的数据。三种方法估计时间独立使用运动估计，沿着与统计方法估计的自相关水平的位置数据，研究了两种哺乳动物。试图通过二次抽样获得统计上独立的数据，导致数据严重冗余，范围大小和运动速率被大大低估。即使每周一次固定的样本间隔也不能保证独立性，并且尽管达到了范围渐近线，也会导致低估范围大小。看来，从遥测中尽可能最好地估计距离大小和使用距离的正确策略是在一段较长的时间内重复使用尽可能短的采样间隔。测量位置数据中自相关水平的统计方法可能有助于比较同一物种的不同种群之间或物种之间的范围使用率，只要使用相同的样本间隔。
Independence of locational fixes, to reduce the effects of autocorrelation, is often deemed a prerequisite for estimation of home range size and utilization when using data derived from telemetric studies. Three methods of estimating times to independence using movement estimates, along with a statistical method of estimating the level of autocorrelation of locational data, were examined for two species of mammal. Attempts to achieve statistically independent data by subsampling resulted in severe redundancy in the data and significant underestimation of range size and rates of movement. Even a sample interval of one fix per week did not guarantee independence and also resulted in underestimation of range size despite range asymptotes being reached. It would appear that the correct strategy for the best possible estimation of range size and use from telemetry would be the repeated use of as short a sampling interval as is possible over an extended period of time. Statistical methods to measure levels of autocorrelation in locational data may be useful for comparing rates of range use between different populations of the same species or between species, as long as the same sample interval is used.