Department of Zoology and Biodiversity Research Centre, University of British Columbia, 6270 University Boulevard, Vancouver, British Columbia, V6T 1Z4, Canada.
Sci Data. 2020 Oct 21;7(1):359. doi: 10.1038/s41597-020-00701-0.
The Serengeti ecosystem spans an extensive network of protected areas in Tanzania, eastern Africa, and a UNESCO Wold Heritage Site. It is home to some of the largest animal migrations on the planet. Here, we describe a dataset consisting of the sample counts of three age classes (infant, juvenile and adult) of 13 ungulate and one ostrich species. Sample counts were tallied visually from the ground, or, in some instances, aerial photographs, during a period extending from 1926 to 2018. Observed animals were assigned to age classes based on specific criteria for each species. For nine of the 14 species of this dataset, the number of sampling years is over 30. This resulted in a total of 533 different records of count across age classes. By computing age-class ratios, these data can be used to measure long-term recruitment success at different ages of the tallied species. In particular, the temporal extent of these data allows comparison of patterns to other long-term processes, such as the El Niño-Southern Oscillation (ENSO).
塞伦盖蒂生态系统横跨非洲东部坦桑尼亚的一系列广泛的保护区网络，也是联合国教科文组织世界遗产地。它是地球上一些最大的动物迁徙的家园。在这里，我们描述了一个数据集，其中包含 13 种有蹄类动物和 1 种鸵鸟的三个年龄组（婴儿、青少年和成年）的样本计数。在 1926 年至 2018 年期间，通过从地面或在某些情况下从航空照片进行目视计数来统计样本数量。根据每个物种的具体标准，将观察到的动物分配到年龄组。在该数据集的 14 种物种中，有 9 种的采样年份超过 30 年。这总共产生了 533 个不同的年龄组计数记录。通过计算年龄组比例，这些数据可用于衡量不同年龄的被计数物种的长期招募成功率。特别是，这些数据的时间范围允许与其他长期过程（如厄尔尼诺-南方涛动（ENSO））进行模式比较。
