Arriving late and lean at a stopover site is selected against in a declining migratory bird population
He-Bo Peng
Shanghai Institute of Infectious Disease and Biosecurity, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary and Institute of Eco-Chongming, Fudan University, Shanghai, China
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
BirdEyes, Centre for Global Ecological Change at the Faculties of Science and Engineering and Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands
Center for East Asian–Australasian Flyway Studies, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
Search for more papers by this authorCorresponding Author
Zhijun Ma
Shanghai Institute of Infectious Disease and Biosecurity, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary and Institute of Eco-Chongming, Fudan University, Shanghai, China
Correspondence
Zhijun Ma
Email: [email protected]
Search for more papers by this authorEldar Rakhimberdiev
Department of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Science Park 904, Amsterdam, 1012 WX The Netherlands
Search for more papers by this authorJan A. van Gils
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
Search for more papers by this authorPhil F. Battley
Zoology and Ecology Group, School of Natural Sciences, Massey University, Palmerston North, New Zealand
Search for more papers by this authorDanny I. Rogers
Department of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, Heidelberg, 3084 Victoria, Australia
Search for more papers by this authorChi-Yeung Choi
Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China
Search for more papers by this authorNing Hua
Shanghai Institute of Infectious Disease and Biosecurity, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary and Institute of Eco-Chongming, Fudan University, Shanghai, China
Search for more papers by this authorClive Minton
Australian Wader Studies Group, Victoria, Beaumaris, Australia
Search for more papers by this authorChris J. Hassell
Global Flyway Network, Western Australia, Broome, Australia
Search for more papers by this authorTheunis Piersma
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
BirdEyes, Centre for Global Ecological Change at the Faculties of Science and Engineering and Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands
Center for East Asian–Australasian Flyway Studies, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
Search for more papers by this authorHe-Bo Peng
Shanghai Institute of Infectious Disease and Biosecurity, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary and Institute of Eco-Chongming, Fudan University, Shanghai, China
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
BirdEyes, Centre for Global Ecological Change at the Faculties of Science and Engineering and Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands
Center for East Asian–Australasian Flyway Studies, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
Search for more papers by this authorCorresponding Author
Zhijun Ma
Shanghai Institute of Infectious Disease and Biosecurity, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary and Institute of Eco-Chongming, Fudan University, Shanghai, China
Correspondence
Zhijun Ma
Email: [email protected]
Search for more papers by this authorEldar Rakhimberdiev
Department of Theoretical and Computational Ecology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Science Park 904, Amsterdam, 1012 WX The Netherlands
Search for more papers by this authorJan A. van Gils
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
Search for more papers by this authorPhil F. Battley
Zoology and Ecology Group, School of Natural Sciences, Massey University, Palmerston North, New Zealand
Search for more papers by this authorDanny I. Rogers
Department of Energy, Environment and Climate Action, Arthur Rylah Institute for Environmental Research, Heidelberg, 3084 Victoria, Australia
Search for more papers by this authorChi-Yeung Choi
Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, China
Search for more papers by this authorNing Hua
Shanghai Institute of Infectious Disease and Biosecurity, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary and Institute of Eco-Chongming, Fudan University, Shanghai, China
Search for more papers by this authorClive Minton
Australian Wader Studies Group, Victoria, Beaumaris, Australia
Search for more papers by this authorChris J. Hassell
Global Flyway Network, Western Australia, Broome, Australia
Search for more papers by this authorTheunis Piersma
Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, Den Burg, The Netherlands
Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands
BirdEyes, Centre for Global Ecological Change at the Faculties of Science and Engineering and Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands
Center for East Asian–Australasian Flyway Studies, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
Search for more papers by this authorClive Minton: deceased.
Abstract
en
- Loss and/or deterioration of refuelling habitats have caused population declines in many migratory bird species but whether this results from unequal mortality among individuals varying in migration traits remains to be shown.
- Based on 13 years of body mass and size data of great knots (Calidris tenuirostris) at a stopover site of the Yellow Sea, combined with resightings of individuals marked at this stopover site along the East Asian-Australasian Flyway, we assessed year to year changes in annual apparent survival rates, and how apparent survival differed between migration phenotypes (i.e. migration timing and fuel stores). The measurements occurred over a period of habitat loss and/or deterioration in this flyway.
- We found that the annual apparent survival rates of great knots rapidly declined from 2006 to 2018, late-arriving individuals with small fuel stores exhibiting the lowest apparent survival rate. There was an advancement in mean arrival date and an increase in the mean fuel load of stopping birds over the study period.
- Our results suggest that late-arriving individuals with small fuel loads were selected against. Thus, habitat loss and/or deterioration at staging sites may cause changes in the composition of migratory phenotypes at the population-level.
摘要
zh
- 迁徙停歇地丧失和/或退化导致许多候鸟的种群数量下降，但这是否是由于不同迁徙表型个体的死亡率差异所造成的，仍有待证明。
- 根据黄海区域的一个迁徙停歇地大滨鹬(Calidris tenuirostris)13年环志所记录的体重和体型大数据，并结合在东亚-澳大利西亚迁飞区对标记个体的观察记录，我们评估了大滨鹬存活率的年际变化，以及不同迁徙表型(迁徙时间和能量储备)的存活率差异。本研究是在迁飞区发生栖息地丧失和/或退化期间进行的。
- 我们发现，从2006年到2018年，大滨鹬的年存活率迅速下降，迁徙日程较晚且能量储备较少的个体的存活率最低。在研究期间，大滨鹬到达该迁徙停歇地的日期有所提前，能量储备也有所增加。
- 研究结果表明，迁徙日程较晚且能量储备较少的个体被选择性地淘汰。因此，迁徙停歇地丧失和/或退化可能会导致迁徙表型的组成在种群水平上发生变化。
CONFLICT OF INTEREST STATEMENT
The authors declare no conflicts of interest.
Open Research
DATA AVAILABILITY STATEMENT
Data available from the Dryad Digital Repository https://doi.org/10.5061/dryad.4xgxd25g8 (Peng et al., 2023).
Supporting Information
| Filename | Description |
|---|---|
| jane14001-sup-0001-Supinfo.docxWord 2007 document , 1 MB |
Figure S1.Biplot of the first two principal components (PC1 and PC2) from principal component analysis (PCA) according to the wing, tarsus, bill and head+bill (headbill) length measurements of captured great knots. The left and lower axis represent the values of measurements (dots), right and upper axis represent the variables (red arrows). Arrows represent loading of variables on the first and second principal component. The function is: body size = 0.97 × wing + 0.14 × bill + 0.19 × headbill + 0.07 × tarsus. Figure S2. The relationship between body size (PC1) and body mass of all captured great knots at Chongming Dongtan during northward migration from 2006 to 2018. PC1 is the first principle component from a principal component analysis (see Section 2). Figure S3. Model-averaged estimates of overall resighting probability of great knots, which were estimated using Cormack–Jolly–Seber models with capture-recapture data over the study years. The black dots indicate the annual mean resighting probability, the bars indicate the standard error of the mean resighting probability, and the grey shadow indicates the 95% CI of resighting probability. Figure S4. Annual apparent survival rates of great knots as a function of migration timing (arrival date, day of year) and fuel store size (residual body mass at arrival) in each year from 2006 to 2018. The curves show the apparent survival rate, and the background colour of the heatmaps indicates the apparent survival rate (red denotes a low apparent survival rate, while blue indicates a high apparent survival rate). The apparent survival rate decreased during the study period and was the lowest for birds that arrived late with small fuel stores each year. Because the apparent survival rate in 2006–2008 was higher than 0.92, only blue is shown. Table S1. Advantages and disadvantages for various scenarios in migration timing and fuel store. Table S2. The five proposed models examining resighting probability (p) of great knots marked at Chongming Dongtan, China, from 2006 to 2018. Date: arrival date; Size: body size; RBM: residual arrival body mass adjusted by body size. “A: B” shows the interaction between A and B. “√” means the specific variable was involved in the model. Table S3. The 28 proposed models examined for apparent survival rate (ϕ) of great knots banded at Chongming Dongtan, China, from 2006 to 2018. Date: arrival date; Size: body size; RBM: residual arrival body mass adjusted by body size. “A: B” shows the interaction between A and B. “√” means the specific variable was involved in the model. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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