摘要
封面图片：自 20 世纪 40 年代以来，非洲象（Loxondonta africana）的分布范围缩小了 50%以上，这主要是由于栖息地丧失和偷猎象牙造成的。由于没有简单的方法对大象进行观察和计数，因此很难准确估计森林地区的大象数量。Ayebare等人（《生态圈》，第16卷第2期，第e70150条；doi: 10.1002/ecs2.70150）利用贝叶斯推理建立了一个新颖的建模框架，该框架综合了 "标志物生产"（大象粪便）的空间和时间变化，从而得出乌干达西部马拉马甘博森林保护区的大象丰度估计值。研究人员还将他们的方法应用于该地区夜间筑巢的黑猩猩。图片来源：Andrew J. Plumptre
COVER PHOTO: The African elephant (Loxondonta africana) has experienced range contraction of more than 50% since the 1940s mainly due to habitat loss and poaching for ivory. It is difficult to obtain accurate estimates of elephant abundance in forested areas because there is no easy way to observe and count them. Ayebare et al. (Ecosphere, Volume 16, Issue 2, Article e70150; doi: 10.1002/ecs2.70150) developed a novel modeling framework using Bayesian inference that integrates across spatial and temporal variability in “sign production” (elephant dung) to produce elephant abundance estimates in Maramagambo Forest Reserve in western Uganda. The researchers also applied their method to chimpanzees in the region that make nests nightly. Photo credit: Andrew J. Plumptre
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