盐城滨海湿地海堤林柳莺体质量与迁徙时序的关系分析

黄雯怡, 刘彬, 孙孝平, 张银龙, 薛丹丹, 王莹, 王立波

南京林业大学学报(自然科学版) ›› 2026, Vol. 50 ›› Issue (4) : 174-180.

PDF(1750 KB)
PDF(1750 KB)
南京林业大学学报(自然科学版) ›› 2026, Vol. 50 ›› Issue (4) : 174-180. DOI: 10.12302/j.issn.1000-2006.202503031
第二十八届中国科协年会———全球气候变化下的林草智能设计育种专题(执行主编 曹福亮 范国强 尹佟明 张怀清)
专题报道Ⅲ:生态环境对动物与鸟类的影响(执行主编 薛建辉 毛岭峰)

盐城滨海湿地海堤林柳莺体质量与迁徙时序的关系分析

作者信息 +

Analysis of the relationship between warbler(Phylloscopus spp.)body mass and migration timing in coastal wetland seawall forests of Yancheng

Author information +
文章历史 +

摘要

【目的】盐城滨海湿地是东亚—澳大利西亚候鸟迁徙路线的关键节点,基于鸟类环志数据,系统分析2018—2019年及 2021—2023年秋季迁徙期小型雀形目鸟类在盐城滨海湿地的体征动态变化趋势及种间差异,揭示其迁徙时序与生理状态的关联机制和在中途停歇地的选择策略,为小型候鸟迁徙生态学研究提供新的理论依据。【方法】以区域典型优势种柳莺科鸟类——极北柳莺(Phylloscopus borealis)、淡脚柳莺(P. tenellipes)和黄眉柳莺(P. inornatus)为对象,通过环志网场在沿海堤林带每隔300 m布设4个网场8张雾网,记录捕获鸟类体长、体质量等,使用广义线性模型分析首到日、高峰日、离开日与柳莺体质量的关系。【结果】5 年监测期共环志小型雀形目 796 只个体,物种间平均体质量存在极显著差异(Kruskal-Wallis 检验:χ2=248.145,df=2,P<0.01);基于时间序列的动态分析可知,3 种鸟类个体质量均呈下降趋势,其中黄眉柳莺与淡脚柳莺的下降趋势达极显著水平[广义线性模型(GLM):黄眉柳莺R2=0.2,P<0.01;淡脚柳莺R2=0.1,P<0.01];3 种鸟类体质量与种群首到日(50% 个体到达日)、高峰日(75% 个体到达日)及离开日(90% 个体到达日)呈显著负相关。具体表现为体质量越大的个体,其种群首到日(广义线性模型:R2=0.85,P<0.01)、高峰日(R2=0.81,P<0.01)和离开日(R2=0.71,P<0.01)均显著滞后。【结论】体质量作为鸟类能量储备的直观指标,显著影响其迁徙时序,盐城滨海湿地海堤林3 种柳莺体质量的种间差异显著,体现其不同的能量储备策略与生态适应特征,为理解候鸟迁徙策略的生态适应提供新的科学参考。

Abstract

【Objective】The regulatory mechanism of physical condition on avian migration is one of the research hotspots in current zoology. As a key node of the East Asian-Australasian Flyway (EAAF), the Yancheng Coastal Wetland not only serves as an important migration corridor and stopover site for waterbirds, but also witnesses the passage of a large number of small passerine birds during the spring and autumn migration seasons every year. Based on bird ringing data, this study systematically analyzes the dynamic trends of physical conditions and interspecific differences of small passerine birds during the autumn migration period in Yancheng Wetland from 2018 to 2019 and 2021 to 2023, and further explores the causes of these differences.【Method】Taking three typical dominant warbler species in the region—arctic warbler (Phylloscopus borealis), pale-legged leaf warbler (P. tenellipes), and yellow-browed seawall warbler (P. inornatus)—as research objects, four netting sites with eight mist nets each were set up every 300 m in the coastal forest belt through the ringing network. The body length, body mass, and other parameters of the captured birds were recorded, and a generalized linear model (GLM) was used to analyze the relationship between the first arrival date, peak date, departure date, and the body mass of the warblers.【Result】A total of 796 individuals are ringed during the 5-year monitoring period, and there are extremely significant differences in average body mass among species (Kruskal-Wallis test: χ2=248.145, df=2, P<0.01). Based on time-series dynamic analysis, the body mass of the three bird species all shows a decreasing trend, among which the decreasing trends of P. inornatus and P. tenellipes are extremely significant (GLM: R2(P. inornatus)= 0.2, P < 0.01; R2(P. tenellipes)= 0.1, P < 0.01). The body mass of the three warbler species is significantly negatively correlated with the first arrival date (date when 50% of the population arrives), peak date (date when 75% of the population arrives), and departure date (date when 90% of the population arrives) of the population. Specifically, individuals with larger body mass have significantly delayed population first arrival date (GLM: R2= 0.85, P < 0.01), peak date (R2= 0.81, P < 0.01), and departure date (R2= 0.71, P < 0.01).【Conclusion】As an intuitive indicator of avian energy reserves, body mass significantly affects their migration timing. The significant interspecific differences in body mass among the three warbler species reflect their different energy reserve strategies and ecological adaptation characteristics. The research results provide new scientific evidence for understanding the ecological adaptation of migratory bird migration strategies.

关键词

柳莺 / 体质量 / 海堤林 / 迁徙策略 / 广义线性模型 / 盐城滨海湿地

Key words

warblers(Phylloscopus spp.) / body mass / seawall forests / migration strategy / generalized linear model (GLM) / Yancheng coastal wetland

引用本文

导出引用
黄雯怡, 刘彬, 孙孝平, . 盐城滨海湿地海堤林柳莺体质量与迁徙时序的关系分析[J]. 南京林业大学学报(自然科学版). 2026, 50(4): 174-180 https://doi.org/10.12302/j.issn.1000-2006.202503031
Huang Wenyi, Liu Bin, Sun Xiaoping, et al. Analysis of the relationship between warbler(Phylloscopus spp.)body mass and migration timing in coastal wetland seawall forests of Yancheng[J]. Journal of Nanjing Forestry University (Natural Sciences Edition). 2026, 50(4): 174-180 https://doi.org/10.12302/j.issn.1000-2006.202503031
中图分类号: Q958.15;S763   

参考文献

[1]
林远锋, 鲁长虎, 许鹏, 等. 1976年以来丹顶鹤在我国的分布变迁及就地保护状况[J]. 南京林业大学学报(自然科学版). 2021,45(6): 200-208.
Lin Y F, Lu C H, Xu P, et al. Distribution changes and in situ conservation of red-crowned cranes (Grus japonensis) in China since 1976[J]. Journal of Nanjing Forestry University (Natural Sciences Edition). 2021, 45(6): 200-208. DOI: 10.12302/j.issn.1000-2006.202012013.
[2]
Sun X P, Shen J M, Xiao Y, et al. Habitat suitability and potential biological corridors for waterbirds in Yancheng coastal wetland of China[J]. Ecological Indicators, 2023, 148:110090.DOI: 10.1016/j.ecolind.2023.110090.
[3]
曹牧, 汤臣栋, 马强, 等. 崇明东滩鸟类国家级自然保护区环志鸟类种群特征年际变化[J]. 南京林业大学学报(自然科学版). 2017, 41(1): 15-20.
Cao M, Tang C D, Ma Q, et al. Inter-annual population variation of migratory birds in Chongming Dongtan National Nature Reserve[J]. Journal of Nanjing Forestry University (Natural Sciences Edition). 2017, 41(1): 15-20. DOI: 10.3969/j.issn.1000-2006.2017.01.003.
[4]
刘彬, 安玉亭, 薛丹丹, 等. 盐城沿海海堤林带柳莺属(Phylloscopus)鸟类秋季迁徙规律[J]. 生态学报, 2021, 41(19):7870-7878.
Liu B, An Y T, Xue D D, et al. Migration of warblers (Phylloscopus) along Yancheng seawall forest belt in autumn[J]. Acta Ecologica Sinica, 2021, 41(19):7870-7878.DOI: 10.5846/stxb202006141545.
[5]
Haest B, Hüppop O, van de Pol M, et al. Autumn bird migration phenology:a potpourri of wind,precipitation and temperature effects[J]. Global Change Biology, 2019, 25(12):4064-4080.DOI: 10.1111/gcb.14746.
[6]
Wang X D, Somveille M, Dokter A M, et al. Macro-scale relationship between body mass and timing of bird migration[J]. Nature Communications, 2024, 15:4111.DOI: 10.1038/s41467-024-48248-7.
[7]
Horton K G, Buler J J, Anderson S J, et al. Artificial light at night is a top predictor of bird migration stopover density[J]. Nature Communications, 2023, 14:7446.DOI: 10.1038/s41467-023-43046-z.
[8]
Schmaljohann H, Eikenaar C. How do energy stores and changes in these affect departure decisions by migratory birds: a critical view on stopover ecology studies and some future perspectives[J]. Journal of Comparative Physiology A, 2017, 203(6):411-429.DOI: 10.1007/s00359-017-1166-8.
[9]
Cho S Y, Nam H Y, Park S Y, et al. Sexual dimorphism and sex-differential migration of little buntings (Emberiza pusilla) at an East Asian stopover site[J]. Avian Research, 2022, 13:100014.DOI: 10.1016/j.avrs.2022.100014.
[10]
Sockman K W, Hurlbert A H. How the effects of latitude on daylight availability may have influenced the evolution of migration and photoperiodism[J]. Functional Ecology, 2020, 34(9):1752-1766.DOI: 10.1111/1365-2435.13578.
[11]
Conklin J R, Battley P F, Potter M A, et al. Breeding latitude drives individual schedules in a trans-hemispheric migrant bird[J]. Nature Communications, 2010, 1:67.DOI: 10.1038/ncomms1072.
[12]
Finch T, Butler S J, Franco A M A, et al. Low migratory connectivity is common in long-distance migrant birds[J]. Journal of Animal Ecology, 2017, 86(3):662-673.DOI: 10.1111/1365-2656.12635.
[13]
Border J A, Pearce-higgins J W, Hewson C M, et al. Expanding protected area coverage for migratory birds could improve long-term population trends[J]. Nature Communications, 2025, 16:1813.DOI: 10.1038/s41467-025-57019-x.
[14]
Schmaljohann H. Proximate mechanisms affecting seasonal differences in migration speed of avian species[J]. Scientific Reports, 2018, 8:4106.DOI: 10.1038/s41598-018-22421-7.
[15]
刘俊, 黄莉, 孙晓倩, 等. 气候变化对中国观鸟旅游的影响:基于鸟类物候变化的分析[J]. 地理学报, 2019, 74(5):912-922.
Liu J, Huang L, Sun X Q, et al. Impact of climate change on birdwatching tourism in China:based on the perspective of bird phenology[J]. Acta Geographica Sinica, 2019, 74(5):912-922.DOI: 10.11821/dlxb201905006.
[16]
任诗超, 张银龙, 曹铭昌, 等. 成都市鸟类多样性时空分布格局及热点区域识别[J]. 南京林业大学学报(自然科学版). 2024, 48(5): 189-196.
Ren S C, Zhang Y L, Cao M C, et al. The bird diversity spatial and temporal distribution patterns and its hotspot areas identification in Chengdu City[J]. Journal of Nanjing Forestry University (Natural Sciences Edition). 202439, 48(5): 189-196. DOI:10.12302/j.issn.1000-2006.202212039.
[17]
Xiong Y, Fan L Q, Chang Y B, et al. Warm temperature is associated with reduced body mass and diversification rates while increasing extinction risks in cold-adapted seabirds[J]. Global Change Biology, 2024, 30(12):e70000.DOI: 10.1111/gcb.70000.
[18]
Haase I, Liu Z W, Zhang S, et al. Altitudinal migration behavior patterns of birds on the eastern slope of Mt.Gongga,China[J]. Avian Research, 2023, 14:100114.DOI: 10.1016/j.avrs.2023.100114.
[19]
Watanabe Y Y. Flight mode affects allometry of migration range in birds[J]. Ecology Letters, 2016, 19(8):907-914.DOI: 10.1111/ele.12627.
[20]
Forti M, Monrós J S, Vera P. Habitat and weather conditions effects on long-term breeding population dynamics of five species of herons (Ardeidae) and Glossy lbis (Threskiornithidae) in the Valencian Community,Spain[J]. Limnetica, 2021, 40(2):417-433.DOI: 10.23818/limn.40.28.
[21]
吴颢林, 张强, 汪慧琳, 等. 基于卫星跟踪的青脚鹬迁徙路线[J]. 动物学杂志, 2024, 59(5):707-713.
Wu H L, Zhang Q, Wang H L, et al. Satellite tracking the migration of common greenshank in China[J]. Chinese Journal of Zoology, 2024, 59(5):707-713.DOI: 10.13859/j.cjz.202422331.
[22]
李婷, 张东向, 张德胜, 等. 2001—2022年扎龙湿地植被覆盖时空演变特征[J]. 森林工程, 2024, 40(4):79-87.
Li T, Zhang D X, Zhang D S, et al. The spatiotemporal evolution characteristics of vegetation cover in Zhalong wetland from 2001 to 2022[J]. Forest Engineering, 2024, 40(4):79-87. DOI:10.7525/j.issn.1006-8023.2024.04.009.
[23]
李思梦, 赵筱涛, 徐沛卓, 等. 基于卫星追踪的燕隼秋季迁徙路线及中途停歇地的研究[J]. 野生动物学报, 2025, 46(2):336-346.
Li S M, Zhao X T, Xu P Z, et al. The study on the autumn migration routes and stopover sites of Eurasian hobby based on satellite tracking[J]. Chinese Journal of Wildlife, 2025, 46(2):336-346.DOI: 10.12375/ysdwxb.20250211.
[24]
马志军, 王勇, 陈家宽. 迁徙鸟类中途停歇期的生理生态学研究[J]. 生态学报, 2005, 25(11):3067-3075.
Ma Z J, Wang Y, Chen J K. Physiological ecology of migratory birds during the stopover periods[J]. Acta Ecologica Sinica, 2005, 25(11):3067-3075. DOI: 10.3321/j.issn:1000-0933.2005.11.038.
[25]
Cooper N W, Sherry T W, Marra P P. Experimental reduction of winter food decreases body condition and delays migration in a long-distance migratory bird[J]. Ecology, 2015, 96(7):1933-1942.DOI: 10.1890/14-1365.1.
[26]
Coppack T, Tindemans I, Czisch M, et al. Can long-distance migratory birds adjust to the advancement of spring by shortening migration distance?The response of the pied flycatcher to latitudinal photoperiodic variation[J]. Global Change Biology, 2008, 14(11):2516-2522.DOI: 10.1111/j.1365-2486.2008.01668.x.
[27]
Harnos A, Lang Z, Fehérvári P, et al. Sex and age dependent migration phenology of the pied flycatcher in a stopover site in the Carpathian Basin[J]. Ornis Hungarica, 2015, 23(2):10-19.DOI: 10.1515/orhu-2015-0010.
[28]
Bozó L, Anisimov Y, Heim W. Differences in migration phenology of warblers at two stopover sites in eastern Russia suggest a longitudinal migration pattern[J]. Avian Research, 2023, 14:100076.DOI: 10.1016/j.avrs.2023.100076.
[29]
Heim W, Heim R J, Beermann I, et al. Using geolocator tracking data and ringing archives to validate citizen-science based seasonal predictions of bird distribution in a data-poor region[J]. Global Ecology and Conservation, 2020, 24:e01215.DOI: 10.1016/j.gecco.2020.e01215.
[30]
Machusko M, Rothstein D E, Bleisch A D. Management of tree density to sustain Kirtland’s warbler breeding habitat and timber production from jack pine plantations[J]. Forest Ecology and Management, 2024, 566:122097.DOI: 10.1016/j.foreco.2024.122097.
[31]
Rhinehart T A, Mcneil D J, Fiss C J, et al. Benefits of golden-winged warbler and cerulean warbler habitat restoration for non-target forest birds:an empirical examination of the focal species concept[J]. Biological Conservation, 2024, 292:110436.DOI: 10.1016/j.biocon.2023.110436.
[32]
Yan H L, Zhao H H, Luo H X, et al. Oriental reed warblers do not abandon common cuckoo chicks during prolonged nestling periods[J]. Avian Research, 2024, 15:100190.DOI: 10.1016/j.avrs.2024.100190.
[33]
Méro T O, Žuljevic A, Lengyel S. Timing of reed management affects habitat use and breeding success in Great Reed Warblers:a field experiment on agricultural drainage canals[J]. Global Ecology and Conservation, 2023, 48:e02691.DOI: 10.1016/j.gecco.2023.e02691.
[34]
Wang H S, Ma L K, Wang J J, et al. Modulation of dear enemy effects by male dusky warblers (Phylloscopus fuscatus) at different reproductive stages[J]. Behavioural Processes, 2022, 200:104706.DOI: 10.1016/j.beproc.2022.104706.
[35]
Shen C, Yu J P, Lu H L, et al. Warblers perform less nest defense behavior and alarm calls to human intruders:a result of habituation[J]. Global Ecology and Conservation, 2020, 23:e01187.DOI: 10.1016/j.gecco.2020.e01187.
[36]
国家林业局. 国家林业局关于印发《鸟类环志管理办法(试行)》和《鸟类环志技术规程(试行)》的通知(林护发〔2002〕33 号)[EB/OL] (2002-02-22).[2025-03-29] https://www.forestry.gov.cn/main/5925/20200414/090421504067334.html.
[37]
Cardot H, Sarda P. Estimation in generalized linear models for functional data via penalized likelihood[J]. Journal of Multivariate Analysis, 2005, 92(1):24-41.DOI: 10.1016/j.jmva.2003.08.008.
[38]
彭波, 苏旭芳, 李宏姣, 等. 基于气流轨迹的广西秋季候鸟迁徙通道划分研究[J]. 环境科学与管理, 2024, 49(8):145-150.
Peng B, Su X F, Li H J, et al. Study on the division of migration routes of autumn migratory birds in Guangxi based on airflow trajectories[J]. Environmental Science and Management, 2024, 49(8):145-150.DOI: 10.3969/j.issn.1673-1212.2024.08.033.
[39]
Zhao M J, Christie M, Coleman J, et al. Time versus energy minimization migration strategy varies with body size and season in long-distance migratory shorebirds[J]. Movement Ecology, 2017, 5:23.DOI: 10.1186/s40462-017-0114-0.
[40]
芮丹, 王雪霁, 徐徐, 等. 安徽省潜山市鸟类多样性与分布格局[J]. 生态与农村环境学报, 2026, 42(6):818-828.
Rui D, Wang X J, Xu X, et al. Bird diversity and distribution pattern in Qianshan City, Anhui Province[J]. Journal of Ecology and Rural Environment, 2026, 42(6):818-828. DOI: 10.19741/j.issn.1673-4831.2025.0666.

致谢

盐城市湿地和世界自然遗产保护管理中心给予支持,张亚楠、周晨曦、杜进进、吴亚钊、奚苏堂、叶明智等对野外环志工作给予帮助!

基金

黄海湿地科研项目(第一期)(HHSDKT202313)
国家环境保护生物多样性与生物安全重点实验室开放课题(STHJBNJS202303)

责任编辑: 王国栋
PDF(1750 KB)

Accesses

Citation

Detail

段落导航
相关文章

/