The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl

Xu, Fei; Si, Youbin

doi:10.1016/j.ecolind.2019.02.024

Cited by 39 publications

(75 citation statements)

References 45 publications

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“…The GPS and ARGOS platform transmitting terminals (see Table 1 for further information) were programmed to record locations at 2-hour intervals for swan geese and whooper swans and at 4-hour intervals for bar-headed geese. Additional information can be found in the Table 1 and in previous papers (Newman et al, 2009(Newman et al, , 2012Batbayar et al, 2013;Shimada et al, 2014;Xu & Si, 2019;Xu et al, 2019).…”

Section: Tracking Datamentioning

confidence: 99%

“…Because tracking durations varied among individuals, we weighted their individual UD by multiplying all raster values by the number of tracking days. Population-level UDs were calculated from the sum of weighed individual UDs, and we generated 90% cumulative probability contours to circumscribe their main use areas including breeding, stopover, and wintering areas (Si et al, 2018;Xu et al, 2019). We used 99% cumulative probability contours to represent migration routes (Palm et al, 2015).…”

Section: Migration Route Estimationsmentioning

confidence: 99%

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Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

Yin

Batbayar

et al. 2021

Geospat Health

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Long-distance migrations influence the dynamics of hostpathogen interactions and understanding the role of migratory waterfowl in the spread of the highly pathogenic avian influenza viruses (HPAIV) is important. While wild geese have been associated with outbreak events, disease ecology of closely related species has not been studied to the same extent. The swan goose (Anser cygnoides) and the bar-headed goose (Anser indicus) are congeneric species with distinctly different HPAIV infection records; the former with few and the latter with numerous records. We compared movements of these species, as well as the more distantly related whooper swan (Cygnus cygnus) through their annual migratory cycle to better understand exposure to HPAIV events and how this compares within and between congeneric and noncongeneric species. In spite of their record of fewer infections, swan geese were more likely to come in contact with disease outbreaks than bar-headed geese. We propose two possible explanations: i) frequent prolonged contact with domestic ducks increases innate immunity in swan geese, and/or ii) the stress of high-elevation migration reduces immunity of bar-headed geese. Continued efforts to improve our understanding of species-level pathogen response is critical to assessing disease transmission risk.

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Section: Tracking Datamentioning

confidence: 99%

Section: Migration Route Estimationsmentioning

confidence: 99%

Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

Yin

Batbayar

et al. 2021

Geospat Health

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“…Goose departure from the breeding grounds is found to be related to the first frost spell (Xu and Si 2019), and when gosling have not fledged by then they are left behind (Barry 1962). Arctic warming may lead to longer summer seasons, providing more time to grow which may partly offset any negative effects of a mismatch earlier in the season.…”

Section: Hatchling Fledgling and Juvenile Phasementioning

confidence: 99%

Contrasting effects of the onset of spring on reproductive success of Arctic-nesting geese

Nolet

Schreven

Boom

et al. 2019

The Auk

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Breeding output of geese, measured as the proportion of juveniles in autumn or winter flocks, is lower in years with a late onset of spring in some species, but higher in at least one other species. Here we argue that this is because the timing of spring affects different stages of the reproductive cycle differently in different species. Because the effects on 2 different stages are opposite, the combined effects can result in either a positive or a negative overall effect. These stages are the pre-laying, laying, and nesting phase on the one hand; and the hatchling, fledgling, and juvenile phase on the other hand. The first phase is predominantly positively affected by an early snowmelt, with higher breeding propensity, clutch size, and nest success. The second phase in contrast is negatively affected by early snowmelt because of a mismatch with a nutrient food peak, leading to slow gosling growth and reduced survival. We argue that recognition of this chain of events is crucial when one wants to predict goose productivity and eventually goose population dynamics. In a rapidly warming Arctic, the negative effects of a mismatch might become increasingly important.

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“…While the influence of climate on many aspects of spring phenology in animals and plants has received a lot of attention, the relationship between climate and autumn phenology has been relatively neglected (Gallinat, Primack, & Wagner, ). Consequently, the climatic factors controlling autumn phenology are still poorly understood (Gallinat et al, ; Renfrew et al, ; Rivrud et al, ; Walther et al, ; Xu & Si, ). In general, spring (and summer) activities and events have shown a rather clear advancement in response to recent climate change across taxa (Menzel et al, ; Thackeray et al, ).…”

Section: Introductionmentioning

confidence: 99%

Autumn bird migration phenology: A potpourri of wind, precipitation and temperature effects

Haest

Hüppop

Pol

et al. 2019

Global Change Biology

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Climate change has caused a clear and univocal trend towards advancement in spring phenology. Changes in autumn phenology are much more diverse, with advancement, delays, and 'no change' all occurring frequently. For migratory birds, patterns in autumn migration phenology trends have been identified based on ecological and life-history traits. Explaining interspecific variation has nevertheless been challenging, and the underlying mechanisms have remained elusive. Radar studies on nonspecies-specific autumn migration intensity have repeatedly suggested that there are strong links with weather. In long-term species-specific studies, the variance in autumn migration phenology explained by weather has, nevertheless, been rather low, or a relationship was even lacking entirely. We performed a spatially explicit time window analysis of weather effects on mean autumn passage of four trans-Saharan and six intra-European passerines to gain insights into this apparent contradiction.We analysed data from standardized daily captures at the Heligoland island constanteffort site (Germany), in combination with gridded daily temperature, precipitation and wind data over a 55-year period (1960-2014), across northern Europe. Weather variables at the breeding and stopover grounds explained up to 80% of the speciesspecific interannual variability in autumn passage. Overall, wind conditions were most important. For intra-European migrants, wind was even twice as important as either temperature or precipitation, and the pattern also held in terms of relative contributions of each climate variable to the temporal trends in autumn phenology.For the trans-Saharan migrants, however, the pattern of relative trend contributions was completely reversed. Temperature and precipitation had strong trend contributions, while wind conditions had only a minor impact because they did not show any strong temporal trends. As such, understanding species-specific effects of climate on autumn phenology not only provides unique insights into each species' ecology but also how these effects shape the observed interspecific heterogeneity in autumn phenological trends. K E Y W O R D S bird migration, environmental plasticity, fall, Helgoland, radar, rainfall, spatiotemporal analysis, time window analysis | 4065 HAEST ET Al.

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The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl

Cited by 39 publications

References 45 publications

Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

Do contrasting patterns of migration movements and disease outbreaks between congeneric waterfowl species reflect differing immunity?

Contrasting effects of the onset of spring on reproductive success of Arctic-nesting geese

Autumn bird migration phenology: A potpourri of wind, precipitation and temperature effects

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