Chapman C A, Chapman L J, McLaughlin R L
Department of Biology, McGill University, 1205 Dr. Penfield Ave., H3A 1B1, Montreal, Quebec, Canada.
Oecologia. 1989 Jun;79(4):506-511. doi: 10.1007/BF00378668.
Central place foraging models assume that animals return to a single central place such as a nest, burrow, or sleeping site. Many animals, however choose between one of a limited number of central places. Such animals can be considered Multiple Central Place Foragers (MCPF), and such a strategy could reduce overall travel costs, if the forager selected a sleeping site close to current feeding areas. We examined the selection of sleeping sites (central places) by a community of spider monkeys (Ateles geoffroyi) in Santa Rosa National Park, Costa Rica in relation to the location of their feeding areas. Spider monkeys repeatedly used 11 sleeping trees, and they tended to choose the sleeping site closest to their current feeding area. A comparison of the observed travel distances with distances predicted for a MCPF strategy, a single central place strategy, and a strategy of randomly selecting sleeping sites demonstrated (1) that the MCPF strategy entailed the lowest travel costs, and (2) that the observed travel distance was best predicted by the MCPF strategy. Deviations between the observed distance travelled and the values predicted by the MCPF model increased after a feeding site had been used for several days. This appears to result from animals sampling their home range to locate new feeding sites.
中心地觅食模型假设动物会返回一个单一的中心地点,如巢穴、洞穴或睡眠地点。然而,许多动物会在有限数量的中心地点中进行选择。这类动物可被视为多中心地觅食者(MCPF),如果觅食者选择靠近当前觅食区域的睡眠地点,这种策略可能会降低总体旅行成本。我们研究了哥斯达黎加圣罗莎国家公园的一群蜘蛛猴(Ateles geoffroyi)对睡眠地点(中心地点)的选择与其觅食区域位置的关系。蜘蛛猴反复使用11棵睡眠树,并且它们倾向于选择最靠近其当前觅食区域的睡眠地点。将观察到的旅行距离与多中心地觅食者策略、单一中心地点策略以及随机选择睡眠地点策略所预测的距离进行比较,结果表明:(1)多中心地觅食者策略的旅行成本最低;(2)多中心地觅食者策略对观察到的旅行距离预测效果最佳。在一个觅食地点被使用几天后,观察到的旅行距离与多中心地觅食者模型预测值之间的偏差增大。这似乎是动物对其活动范围进行采样以寻找新觅食地点的结果。