Grueter Cyril C, Li Dayong, Ren Baoping, Wei Fuwen
Anthropological Institute and Museum, University of Zurich-Irchel, Zurich, Switzerland.
Primates. 2009 Jan;50(1):81-4. doi: 10.1007/s10329-008-0113-2. Epub 2008 Nov 21.
Primate home range sizes can vary tremendously as a consequence of the analytical technique chosen to estimate home range. This is exemplified by a recent dataset on free ranging snub-nosed monkeys (Rhinopithecus bieti) in Northwest Yunnan, China. Our findings show that the grid cell method cannot substitute for the minimum convex polygon (MCP) method and vice versa. MCP-based estimates are far too large, especially when the form of the home range is irregular due to forays into peripheral areas. Here, we propose an adjusted polygon method, whereby unsuitable and never visited areas are clipped out from the polygon, thus producing more accurate results. Compared to the grid cell method, the adjusted MCP is much more robust when the number of group relocations is limited; MCP turned out to be the method of choice for calculation of monthly and seasonal home ranges. The grid cell method on the other hand yielded the most precise estimates for total or annual home ranges. The style of ranging exhibited by a given primate taxon or population determines which analytical procedures should be applied to estimate home range size, and we would stress the need for thorough evaluation of the pros and cons of home range estimators before conducting field work and analysing data.
由于选择用于估计活动范围的分析技术不同,灵长类动物的活动范围大小可能会有极大差异。中国云南西北部滇金丝猴(Rhinopithecus bieti)的一个近期数据集就说明了这一点。我们的研究结果表明,网格单元法不能替代最小凸多边形(MCP)法,反之亦然。基于MCP的估计值过大,尤其是当活动范围因进入周边区域而形状不规则时。在此,我们提出一种调整后的多边形方法,即从多边形中剔除不合适且从未涉足的区域,从而得出更准确的结果。与网格单元法相比,当群体迁移次数有限时,调整后的MCP更稳健;事实证明,MCP是计算月度和季节性活动范围的首选方法。另一方面,网格单元法得出的总活动范围或年度活动范围估计最为精确。特定灵长类分类单元或种群的活动范围模式决定了应采用哪种分析程序来估计活动范围大小,我们强调在进行野外工作和分析数据之前,有必要对活动范围估计方法的优缺点进行全面评估。