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从远处预测春天?一种食草鸟类不同迁徙路线上的迁徙时间和物候可预测性。

Forecasting spring from afar? Timing of migration and predictability of phenology along different migration routes of an avian herbivore.

作者信息

Kölzsch Andrea, Bauer Silke, de Boer Rob, Griffin Larry, Cabot David, Exo Klaus-Michael, van der Jeugd Henk P, Nolet Bart A

机构信息

Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6708 PB, Wageningen, The Netherlands.

Project Group Movement Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 6708 PB, Wageningen, The Netherlands.

出版信息

J Anim Ecol. 2015 Jan;84(1):272-83. doi: 10.1111/1365-2656.12281. Epub 2014 Sep 17.

Abstract

Herbivorous birds are hypothesized to migrate in spring along a seasonal gradient of plant profitability towards their breeding grounds (green wave hypothesis). For Arctic breeding species in particular, following highly profitable food is important, so that they can replenish resources along the way and arrive in optimal body condition to start breeding early. We compared the timing of migratory movements of Arctic breeding geese on different flyways to examine whether flyways differed in the predictability of spring conditions at stopovers and whether this was reflected in the degree to which birds were following the green wave. Barnacle geese (Branta leucopsis) were tracked with solar GPS/ARGOS PTTs from their wintering grounds to breeding sites in Greenland (N = 7), Svalbard (N = 21) and the Barents Sea (N = 12). The numerous stopover sites of all birds were combined into a set of 16 general stopover regions. The predictability of climatic conditions along the flyways was calculated as the correlation and slope between onsets of spring at consecutive stopovers. These values differed between sites, mainly because of the presence or absence of ecological barriers. Goose arrival at stopovers was more closely tied to the local onset of spring when predictability was higher and when geese attempted breeding that year. All birds arrived at early stopovers after the onset of spring and arrived at the breeding grounds before the onset of spring, thus overtaking the green wave. This is in accordance with patterns expected for capital breeders: first, they must come into condition; at intermediate stopovers, arrival with the food quality peak is important to stay in condition, and at the breeding grounds, early arrival is favoured so that hatching of young can coincide with the peak of food quality. Our results suggest that a chain of correlations between climatic conditions at subsequent stopovers enables geese to closely track the green wave. However, the birds' precision of migratory timing seems uninfluenced by ecological barriers, indicating partly fixed migration schedules. These might become non-optimal due to climate warming and preclude accurate timing of long-distance migrants in the future.

摘要

据推测,食草鸟类在春季会沿着植物生产力的季节性梯度向繁殖地迁徙(绿波假说)。特别是对于在北极繁殖的物种来说,追踪高生产力的食物至关重要,这样它们就能在途中补充资源,并以最佳身体状况早早抵达繁殖地开始繁殖。我们比较了不同飞行路线上北极繁殖鹅的迁徙时间,以研究飞行路线在中途停留地春季条件的可预测性方面是否存在差异,以及这是否反映在鸟类跟随绿波的程度上。用太阳能GPS/ARGOS卫星定位发射机跟踪黑雁(Branta leucopsis)从越冬地到格陵兰(N = 7)、斯瓦尔巴群岛(N = 21)和巴伦支海(N = 12)的繁殖地。所有鸟类众多的中途停留地被合并为16个一般中途停留区域。飞行路线上气候条件的可预测性通过连续中途停留地春季开始时间之间的相关性和斜率来计算。这些值在不同地点有所不同,主要是因为存在或不存在生态屏障。当可预测性较高且鹅当年尝试繁殖时,鹅到达中途停留地与当地春季开始时间的联系更为紧密。所有鸟类在春季开始后到达早期中途停留地,并在春季开始前到达繁殖地,从而超过了绿波。这与资本繁殖者预期的模式一致:首先,它们必须进入良好状态;在中间中途停留地,随着食物质量高峰到达对于保持状态很重要,而在繁殖地,早到更有利,这样幼雏的孵化就能与食物质量高峰同步。我们的结果表明,后续中途停留地气候条件之间的一系列相关性使鹅能够紧密跟随绿波。然而,鸟类迁徙时间的精确性似乎不受生态屏障的影响,这表明迁徙时间表部分是固定的。由于气候变暖,这些时间表可能会变得不理想,并在未来妨碍长途迁徙者的准确时间安排。

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