Thompson Jordan M, Uher-Koch Brian D, Daniels Bryan L, Riecke Thomas V, Schmutz Joel A, Sedinger Benjamin S
College of Natural Resources University of Wisconsin-Stevens Point Stevens Point Wisconsin USA.
U.S. Geological Survey Alaska Science Center Anchorage Alaska USA.
Ecol Evol. 2024 Oct 11;14(10):e70313. doi: 10.1002/ece3.70313. eCollection 2024 Oct.
Nest-site fidelity is a common strategy in birds and is believed to be adaptive due to familiarity with local conditions. Returning to previously successful nest sites (i.e., the win-stay lose-switch strategy) may be beneficial when habitat quality is spatially variable and temporally predictable; however, changes in environmental conditions may constrain dispersal decisions despite previous reproductive success. We used long-term (2000-2017) capture-mark-reencounter data and hierarchical models to examine fine-scale nest-site fidelity of emperor geese () on the Yukon-Kuskokwim Delta in Alaska. Our objectives were to quantify nest-site dispersal distances, determine whether dispersal distance is affected by previous nest fate, spring timing, or major flooding events on the study area, and determine if nest-site fidelity is adaptive in that it leads to higher nest survival. Consistent with the win-stay lose-switch strategy, expected dispersal distance for individuals that failed their nesting attempt in the previous year was greater (207.7 m, 95% HPDI: 151.1-272.7) than expected dispersal distance for individuals that nested successfully in the previous year (125.5 m, 95% HPDI: 107.1-144.9). Expected dispersal distance was slightly greater following years of major flooding events for individuals that nested successfully, although this pattern was not observed for individuals that failed their nesting attempt. We did not find evidence that expected dispersal distance was influenced by spring timing. Importantly, dispersal distance was positively related to daily survival probability of emperor goose nests for individuals that failed their previous nesting attempt, suggesting an adaptive benefit to the win-stay lose-switch strategy. Our results highlight the importance of previous experience and environmental variation for informing dispersal decisions of a long-lived goose species. However, it is unclear if dispersal decisions based on previous experience will continue to be adaptive as variability in environmental conditions increases in northern breeding areas.
巢址忠诚度是鸟类中常见的一种策略,由于熟悉当地环境条件,被认为具有适应性。当栖息地质量在空间上存在差异且在时间上具有可预测性时,回到之前成功的巢址(即赢则留下输则转换策略)可能是有益的;然而,尽管之前繁殖成功,但环境条件的变化可能会限制扩散决策。我们使用长期(2000 - 2017年)的捕获 - 标记 - 重捕数据和层次模型,来研究阿拉斯加育空 - 库斯科基姆三角洲帝雁( )的精细尺度巢址忠诚度。我们的目标是量化巢址扩散距离,确定扩散距离是否受之前巢的命运、春季时间或研究区域的重大洪水事件影响,并确定巢址忠诚度是否具有适应性,即它是否会导致更高的巢存活率。与赢则留下输则转换策略一致,前一年筑巢尝试失败的个体的预期扩散距离(207.7米,95%最高后验密度区间:151.1 - 272.7)大于前一年筑巢成功的个体的预期扩散距离(125.5米,95%最高后验密度区间:107.1 - 144.9)。对于筑巢成功的个体,在经历重大洪水事件的年份之后,预期扩散距离略大,尽管对于筑巢尝试失败的个体未观察到这种模式。我们没有发现证据表明预期扩散距离受春季时间影响。重要的是,对于前一年筑巢尝试失败的个体,扩散距离与帝雁巢的每日存活概率呈正相关,这表明赢则留下输则转换策略具有适应性益处。我们的结果强调了先前经验和环境变化对于指导一种长寿鹅类扩散决策的重要性。然而,随着北方繁殖地区环境条件变异性的增加,基于先前经验的扩散决策是否会继续具有适应性尚不清楚。