Movement ecology is fundamental to understanding animal home ranges or utilization distribution (UD), and is an important aspect in conservation management strategies. Over the years, there have been several new developments and some contention on which methods are best in determining animal movement and UD. Using data from Global Positioning System (GPS)-tracked Sumatran elephants, minimum convex polygon values (MCP), various Kernel Density Estimator bandwidths (KDE), and dynamic Brownian Bridge Movement Models (dBBMM) were compared to identify the most suitable estimators of space-use. Models were analyzed for variability of home range, goodness of fit, isopleth contour complexity, and precision in representing habitat features. dBBMM was shown to be the most efficient in their representation of elephant home range estimations when compared to other methods in terms of trade-off between type I and type II errors and their ability to classify high- and low-use areas, along with insight into variation of movement. We further discuss the implications of variability in home range estimation regarding conservation and provide recommendations for future studies using similar data.

运动生态学是了解动物栖息地范围或利用分布（UD）的基础，并且是保护管理策略中的重要方面。多年来，出现了一些新的进展，并且在确定动物运动和UD的最佳方法方面存在一些争议。使用来自全球定位系统（GPS）跟踪的苏门答腊大象的数据，比较了最小凸多边形值（MCP），各种内核密度估计器带宽（KDE）和动态布朗桥运动模型（dBBMM），以确定最合适的空间估计器-使用。分析了模型的归宿范围的变异性，拟合优度，等值线轮廓复杂性以及表示栖息地特征的精度。在I型和II型错误之间的权衡以及对高使用和低使用区域进行分类的能力以及洞察力方面，与其他方法相比，dBBMM被证明是最有效的代表大象原野距离估计的方法。改变动作。我们将进一步讨论家庭范围估计中的可变性对保护的影响，并为使用类似数据的未来研究提供建议。