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1
Environmental Predictability as a Cause and Consequence of Animal Movement.环境可预测性是动物运动的原因和结果。
Trends Ecol Evol. 2020 Feb;35(2):163-174. doi: 10.1016/j.tree.2019.09.009. Epub 2019 Nov 5.
2
Memory and resource tracking drive blue whale migrations.记忆和资源追踪驱动座头鲸的洄游。
Proc Natl Acad Sci U S A. 2019 Mar 19;116(12):5582-5587. doi: 10.1073/pnas.1819031116. Epub 2019 Feb 25.
3
Early returning long-distance migrant males do pay a survival cost.较早返回的长途迁徙雄性确实要付出生存代价。
Ecol Evol. 2018 Nov 14;8(23):11434-11449. doi: 10.1002/ece3.4569. eCollection 2018 Dec.
4
Light pollution is greatest within migration passage areas for nocturnally-migrating birds around the world.光污染在全球夜间迁徙鸟类的迁徙通道区域内最为严重。
Sci Rep. 2018 Feb 19;8(1):3261. doi: 10.1038/s41598-018-21577-6.
5
Artificial light at night confounds broad-scale habitat use by migrating birds.夜间人工光照使候鸟大范围的栖息地使用变得混乱。
Ecol Lett. 2018 Mar;21(3):356-364. doi: 10.1111/ele.12902. Epub 2018 Jan 9.
6
Defining the Degree of Seasonality and its Significance for Future Research.定义季节性程度及其对未来研究的意义。
Integr Comp Biol. 2017 Nov 1;57(5):934-942. doi: 10.1093/icb/icx040.
7
Memory, not just perception, plays an important role in terrestrial mammalian migration.记忆,而非仅仅是感知,在陆生哺乳动物的迁徙中起着重要作用。
Proc Biol Sci. 2017 May 31;284(1855). doi: 10.1098/rspb.2017.0449.
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The greenscape shapes surfing of resource waves in a large migratory herbivore.绿色景观塑造了大型迁徙食草动物中资源波的动态变化。
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Cold spell en route delays spring arrival and decreases apparent survival in a long-distance migratory songbird.途中的寒潮推迟了春天的到来,并降低了一种长途迁徙鸣禽的表观存活率。
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Spring predictability explains different leaf-out strategies in the woody floras of North America, Europe and East Asia.春季可预测性解释了北美、欧洲和东亚木本植物区系中不同的展叶策略。
Ecol Lett. 2017 Apr;20(4):452-460. doi: 10.1111/ele.12746. Epub 2017 Feb 14.

环境变异性、信息可靠性和迁移时间。

Environmental variability, reliability of information and the timing of migration.

机构信息

Department of Bird Migration, Swiss Ornithological Institute, 6204 Sempach, Switzerland.

School of Mathematics, University of Bristol, Bristol BS8 1UG, UK.

出版信息

Proc Biol Sci. 2020 May 13;287(1926):20200622. doi: 10.1098/rspb.2020.0622. Epub 2020 May 6.

DOI:10.1098/rspb.2020.0622
PMID:32370679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7282917/
Abstract

The timing of migration and migratory steps is highly relevant for fitness. Because environmental conditions vary between years, the optimal time for migration varies accordingly. Therefore, migratory animals could clearly benefit from acquiring information as to when it is the best time to migrate in a specific year. Thus, environmental predictability and variability are fundamental characteristics of migration systems but their relationship and consequence for migratory progression has remained unexplored. We develop a simple dynamic model to identify the optimal migration behaviour in environments that differ in predictability, variability and the number of intermediate stop-over sites. Our results indicate that higher predictability along migration routes enables organisms to better time migration when phenology deviates from its long-term average and thus, increases fitness. Information is particularly valuable in highly variable environments and in the final migration-step, i.e. before the destination. Furthermore, we show that a general strategy for obtaining information in relatively uninformative but variable environments is using intermediate stop-over sites that enable migrants to better predict conditions ahead. Our study contributes to a better understanding of the relationship between animal movement and environmental predictability-an important, yet underappreciated factor that strongly influences migratory progression.

摘要

迁徙时间和迁徙步骤对于适应力非常重要。由于环境条件每年都在变化,因此最佳迁徙时间也相应变化。因此,迁徙动物显然可以从获取有关在特定年份最佳迁徙时间的信息中受益。因此,环境可预测性和可变性是迁徙系统的基本特征,但它们对迁徙进展的关系和后果仍未得到探索。我们开发了一个简单的动态模型,以确定在可预测性、可变性和中间停留点数量不同的环境中最佳的迁徙行为。我们的研究结果表明,在迁徙路线上更高的可预测性可以使生物在物候与长期平均值偏离时更好地安排迁徙时间,从而提高适应力。信息在高度可变的环境中和在最后一个迁徙阶段(即目的地之前)特别有价值。此外,我们还表明,在相对信息量较少但变化较大的环境中获取信息的一般策略是使用中间停留点,这使迁徙者能够更好地预测前方的情况。我们的研究有助于更好地理解动物运动与环境可预测性之间的关系——这是一个重要但被低估的因素,强烈影响着迁徙进展。