Species-dependent effects of habitat degradation in relation to seasonal distribution of migratory waterfowl in the East Asian–Australasian Flyway

Abstract

Context

Migratory species’ resilience to landscape changes depends on spatial patterns of habitat degradation in relation to their migratory movements, such as the distance between breeding and non-breeding areas, and the location and width of migration corridors.

Objectives

We investigated to what extent the impact of habitat degradation depended on the seasonal distributions of migratory waterfowl.

Methods

Using logistic regression, we selected wetland sites for eight waterfowl species in the East Asian–Australasian Flyway (EAAF) by calculating the probabilities of species occurrence per wetland site in relation to environmental factors. We quantified landscape metrics related to habitat degradation within these wetland sites. We used general linear models to test for differences in the effects of habitat degradation on waterfowl species with different migration extents and at different latitudes.

Results

The patterns of habitat degradation differed spatially across the EAAF and affected species to a different degree. Species with shorter and broader migration corridors (Anser cygnoid and A. anser) could benefit from improved habitat conditions in the west of the EAAF. Species with longer and narrower migration corridors (Cygnus columbianus, A. fabalis, A. albifrons, A. erythropus, Anas crecca, and Anas acuta) were under higher risk of habitat degradation in the coastal regions of China and Japan.

Conclusions

Migratory species with longer and narrower migration corridors are more affected by habitat degradation, because they might have fewer alternative stopover sites at similar latitude. Our findings improve the understanding of species-specific effects of environmental changes on migratory species, and defines critical and endangered wetland sites, and vulnerable species.

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References

  1. Ackerman JT, Takekawa JY, Orthmeyer DL, Fleskes JP, Yee JL, Kruse KL (2006) Spatial use by wintering greater white-fronted geese relative to a decade of habitat change in California’s Central Valley. J Wildl Manag 70(4):965–976

    Article  Google Scholar 

  2. Aharon-Rotman Y, McEvoy J, Zhaoju Z, Yu H, Wang X, Si Y, Xu Z, Yuan Z, Jeong W, Cao L, Fox AD (2017) Water level affects availability of optimal feeding habitats for threatened migratory waterbirds. Ecol Evol 7(23):10440–10450

    PubMed  PubMed Central  Article  Google Scholar 

  3. An S, Li H, Guan B, Zhou C, Wang Z, Deng Z, Zhi Y, Liu Y, Xu C, Fang S, Jiang J (2007) China’s natural wetlands: past problems, current status, and future challenges. Ambio 36(4):335–342

    CAS  PubMed  Article  Google Scholar 

  4. Batbayar N (2013) Breeding and migration ecology of bar-headed goose Anser indicus and swan goose Anser cygnoides in Asia. University of Oklahoma, Norman

    Google Scholar 

  5. Batbayar N, Takekawa JY, Newman SH, Prosser DJ, Natsagdorj T, Xiao X (2013) Migration strategies of Swan Geese Anser cygnoides from northeast Mongolia. Wildfowl 61(61):90–109

    Google Scholar 

  6. Bates D, Mächler M, Bolker B, Walker S (2014) Fitting linear mixed-effects models using lme4. J Stat Softw 67(1):34949

    Google Scholar 

  7. Beatty WS, Webb EB, Kesler DC, Raedeke AH, Naylor LW, Humburg DD (2014) Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period. Landscape Ecol 29(6):989–1000

    Article  Google Scholar 

  8. Berger J, Young JK, Berger KM (2008) Protecting migration corridors: challenges and optimism for Mongolian saiga. PLoS Biol 6(7):e165

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  9. Birdlife International and NatureServe (2015) Bird species distribution maps of the world Version 5.0. BirdLife International, Cambridge, UK and NatureServe, Arlington, USA. http://www.birdlife.org. Accessed 02 Nov 2016

  10. Burnham KP, Anderson DR (2003) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York

    Google Scholar 

  11. Cao L, Barter M, Lei G (2008) New Anatidae population estimates for eastern China: implications for current flyway estimates. Biol Conserv 141(9):2301–2309

    Article  Google Scholar 

  12. Cao L, Zhang Y, Barter M, Lei G (2010) Anatidae in eastern China during the non-breeding season: geographical distributions and protection status. Biol Conserv 143(3):650–659

    Article  Google Scholar 

  13. Cornell Lab of Ornithology (2016) eBird basic dataset vesion EBD_relNov-2016. Cornell Lab of Ornithology, Ithaca. https://ebird.org/science. Accessed 06 Jan 2017

  14. Davis JB, Guillemain M, Kaminski RM, Arzel C, Eadie JM (2014) Rees EC (2014) Habitat and resource use by waterfowl in the northern hemisphere in autumn and winter. Wildfowl 4:17–69

    Google Scholar 

  15. de Boer WF, Cao L, Barter M, Wang X, Sun M, van Oeveren H, de Leeuw J, Barzen J, Prins HH (2011) Comparing the community composition of European and Eastern Chinese waterbirds and the influence of human factors on the China waterbird community. Ambio 40(1):68–77

    PubMed  Article  Google Scholar 

  16. de Ferranti J (2014) Jonathan de Ferranti’s digital elevation data site. http://www.viewfinderpanoramas.org. Accessed 07 March 2017

  17. Dong Z, Wang Z, Yang X (2015) Changes in suitable waterbirds’ habitats from 1990 to 2010 in the Bielahong Watershed of Northeast China. J Indian Soc Remote Sens 43(3):599–607

    Article  Google Scholar 

  18. East Asian–Australasian Flyway Partnership (EAAFP) (2017) https://eaaflyway.net. Accessed 07 Jan 2017

  19. European Space Agency (2017) CCI Land cover—300 m annual global land cover time series from 1992 to 2015. https://www.esa-landcover-cci.org. Accessed 28 July 2017

  20. Fox AD, Elmberg J, Tombre IM, Hessel R (2016) Agriculture and herbivorous waterfowl: a review of the scientific basis for improved management. Biol Rev 92(2):854–877

    PubMed  Article  Google Scholar 

  21. Gilroy JJ, Gill JA, Butchart SHM, Jones VR, Franco AMA (2016) Migratory diversity predicts population declines in birds. Ecol Lett 19(3):308–317

    PubMed  Article  Google Scholar 

  22. Grishchenko M, Prins HH (2016) Abandoned field succession in Russia and its potential effect on Corncrake Crex crex habitats. Die Vogelwelt 136:175–184

    Google Scholar 

  23. Guadagnin DL, Maltchik L (2007) Habitat and landscape factors associated with neotropical waterbird occurrence and richness in wetland fragments. Biodivers Conserv 16(4):1231–1244

    Article  Google Scholar 

  24. Gustafson EJ, Parker GR (1992) Relationships between landcover proportion and indices of landscape spatial pattern. Landscape Ecol 7(2):101–110

    Article  Google Scholar 

  25. Horn DJ, Phillips ML, Koford RR, Clark WR, Sovada MA, Greenwood RJ (2005) Landscape composition, patch size, and distance to edges: interactions affecting duck reproductive success. Ecol Appl 15(4):1367–1376

    Article  Google Scholar 

  26. Iwamura T, Possingham HP, Chadès I, Minton C, Murray NJ, Rogers DI, Treml EA, Fuller RA (2013) Migratory connectivity magnifies the consequences of habitat loss from sea-level rise for shorebird populations. Proc Biol Sci 280(1761):20130325

    PubMed  PubMed Central  Article  Google Scholar 

  27. Jia Q, Wang X, Zhang Y, Cao L, Fox AD (2018) Drivers of waterbird communities and their declines on Yangtze River floodplain lakes. Biol Conserv 218:240–246

    Article  Google Scholar 

  28. Johnson WP, Schmidt PM, Taylor DP (2014) Foraging flight distances of wintering ducks and geese: a review. Avian Conserv Ecol 9(2):2

    Article  Google Scholar 

  29. Lehner B, Döll P (2004) Development and validation of a global database of lakes, reservoirs and wetlands. J Hydrol 296(1):1–22

    Article  Google Scholar 

  30. Li J, Lai X, Liu H, Yang D, Zhang G (2017a) Emergy evaluation of three rice wetland farming systems in the Taihu lake catchment of China. Wetlands. https://doi.org/10.1007/s13157-017-0880-x

    Article  Google Scholar 

  31. Li Z, Liu X, Niu T, Kejia D, Zhou Q, Ma T, Gao Y (2015) Ecological restoration and its effects on a regional climate: the source region of the Yellow River, China. Environ Sci Technol 49(10):5897–5904

    CAS  PubMed  Article  Google Scholar 

  32. Li X, Si Y, Ji L, Gong P (2017b) Dynamic response of East Asian Greater White-fronted Geese to changes of environment during migration: use of multi-temporal species distribution model. Ecol Modell 360:70–79

    Article  Google Scholar 

  33. Li Z, Wu W, Liu X, Fath BD, Sun H, Liu X, Xiao X, Cao J (2017c) Land use/cover change and regional climate change in an arid grassland ecosystem of Inner Mongolia, China. Ecol Modell 353:86–94

    Article  Google Scholar 

  34. Liu J, Diamond J (2005) China’s environment in a globalizing world. Nature 435(7046):1179

    CAS  PubMed  Article  Google Scholar 

  35. MacArthur R, Wilson E (1967) The theory of island biogeography. Princeton University Press, Princeton

    Google Scholar 

  36. MaMing R, Zhang T, Blank D, Ding P, Zhao X (2012) Geese and ducks killed by poison and analysis of poaching cases in China. Goose Bull 15:2–11

    Google Scholar 

  37. McGarigal K, Marks BJ (1995) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland. https://doi.org/10.2737/PNW-GTR-351

  38. McGill BJ (2010) Matters of scale. Science 328(5978):575–576

    CAS  PubMed  Article  Google Scholar 

  39. Millennium Ecosystem Assessment (2005) Ecosystems and human well-being: wetlands and water. World Resources Institute, Washington, DC

    Google Scholar 

  40. Mora JW, Mager JN III, Spieles DJ (2011) Habitat and landscape suitability as indicators of bird abundance in created and restored wetlands. ISRN Ecol 2011:297684

    Google Scholar 

  41. Morrison CA, Robinson RA, Clark JA, Risely K, Gill JA (2013) Recent population declines in Afro-Palaearctic migratory birds: the influence of breeding and non-breeding seasons. Divers Distrib 19(8):1051–1058

    Article  Google Scholar 

  42. Nicholls RJ (2004) Coastal flooding and wetland loss in the 21st century: changes under the SRES climate and socio-economic scenarios. Glob Environ Change 14(1):69–86

    Article  Google Scholar 

  43. Niu Z, Zhang H, Wang X, Yao W, Zhou D, Zhao K, Zhao H, Li N, Huang H, Li C, Yang J (2012) Mapping wetland changes in China between 1978 and 2008. Sci Bull 57(22):2813–2823

    Article  Google Scholar 

  44. North American Bird Conservation Initiative (2012) The state of Canada’s birds, 2012. Environment Canada, Ottawa. http://stateofcanadasbirds.org/. Accessed 12 Jan 2016

  45. Olson DL, Delen D (2008) Advanced data mining techniques. Springer, Heidelberg

    Google Scholar 

  46. Purvis A, Gittleman JL, Cowlishaw G, Mace GM (2000) Predicting extinction risk in declining species. Proc Biol Sci 267(1456):1947–1952

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  47. Rogers DI, Yang HY, Hassell CJ, Boyle AN, Rogers KG, Chen B, Zhang ZW, Piersma T (2010) Red knots (Calidris canutus piersmai and C. c. rogersi) depend on a small threatened staging area in Bohai Bay, China. Emu 110(4):307–315

    Article  Google Scholar 

  48. Runge CA, Martin TG, Possingham HP, Willis SG, Fuller RA (2014) Conserving mobile species. Front Ecol Environ 12(7):395–402

    Article  Google Scholar 

  49. Sanderson FJ, Donald PF, Pain DJ, Burfield IJ, Van Bommel FP (2006) Long-term population declines in Afro-Palearctic migrant birds. Biol Conserv 131(1):93–105

    Article  Google Scholar 

  50. Sawyer H, Kauffman MJ, Nielson RM, Horne JS (2009) Identifying and prioritizing ungulate migration routes for landscape-level conservation. Ecol Appl 19(8):2016–2025

    PubMed  Article  Google Scholar 

  51. Seto KC, Fragkias M (2005) Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecol 20(7):871–888

    Article  Google Scholar 

  52. Si Y, Skidmore AK, Wang T, de Boer WF, Toxopeus AG, Schlerf M, Oudshoorn M, Zwerver S, Jeugd HV, Exo KM, Prins HH (2011) Distribution of Barnacle Geese Branta leucopsis in relation to food resources, distance to roosts, and the location of refuges. Ardea 99(2):217–226

    Article  Google Scholar 

  53. Si Y, Xin Q, Prins HHT, de Boer WF, Gong P (2015) Improving the quantification of waterfowl migration with remote sensing and bird tracking. Sci Bull 60(23):1984–1993

    Article  Google Scholar 

  54. Si Y, Xu Y, Xu F, Li X, Zhang W, Wielstra B, Wei J, Liu G, Luo H, Takekawa J, Balachandran S (2018) Spring migration patterns, habitat use, and stopover site protection status for two declining waterfowl species wintering in China as revealed by satellite tracking. Ecol Evol 8(12):6280–6289

    PubMed  PubMed Central  Article  Google Scholar 

  55. Silva JP, Phillips L, Jones W (2007) LIFE and Europe’s wetlands: restoring a vital ecosystem. http://wedocs.unep.org/handle/20.500.11822/2682. Accessed 06 July 2017

  56. Studds CE, Kendall BE, Murray NJ, Wilson HB, Rogers DI, Clemens RS, Gosbell K, Hassell CJ, Jessop R, Melville DS, Milton DA (2017) Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites. Nat Commun 8:14895

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  57. Sullivan BL, Aycrigg JL, Barry JH, Bonney RE, Bruns N, Cooper CB, Damoulas T, Dhondt AA, Dietterich T, Farnsworth A, Fink D (2014) The eBird enterprise: an integrated approach to development and application of citizen science. Biol Conserv 169:31–40

    Article  Google Scholar 

  58. Sutherland WJ, Alves JA, Amano T, Chang CH, Davidson NC, Max Finlayson C, Gill JA, Gill RE Jr, González PM, Gunnarsson TG, Kleijn D (2012) A horizon scanning assessment of current and potential future threats to migratory shorebirds. IBIS 154(4):663–679

    Article  Google Scholar 

  59. Syroechkovskiy EE (2006) Long-term declines in Arctic goose populations in eastern Asia. Waterbirds around the world. The Stationery Office, Edinburgh, pp 649–662

    Google Scholar 

  60. Takekawa JY, Newman SH, Xiao X, Prosser DJ, Spragens KA, Palm EC, Yan B, Li T, Lei F, Zhao D, Douglas DC (2010) Migration of waterfowl in the East Asian Flyway and spatial relationship to HPAI H5N1 outbreaks. Avian Dis 54(1):466–476

    PubMed  PubMed Central  Article  Google Scholar 

  61. Tian B, Zhou Y, Zhang L, Yuan L (2008) Analyzing the habitat suitability for migratory birds at the Chongming Dongtan Nature Reserve in Shanghai. China. Estuar Coast Shelf Sci 80(2):296–302

    Article  Google Scholar 

  62. Van Eerden MR, Drent RH, Stahl J, Bakker JP (2005) Connecting seas: western Palaearctic continental flyway for waterbirds in the perspective of changing land use and climate. Glob Chang Biol 11(6):894–908

    Article  Google Scholar 

  63. Wang Z, Zhang B, Zhang S, Li X, Liu D, Song K, Li J, Li F, Duan H (2006) Changes of land use and of ecosystem service values in Sanjiang Plain. Northeast China. Environ Monit Assess 112(1):69–91

    PubMed  Article  Google Scholar 

  64. Weber TP, Houston AI, Ens BJ (1999) Consequences of habitat loss at migratory stopover sites: a theoretical investigation. J Avian Biol 30(4):416–426

    Article  Google Scholar 

  65. Wetland International (2017) Waterbird population estimates. http://wpe.wetlands.org. Accessed 12 Dec 2017

  66. Xu C, Huang ZYX, Chi T, Chen BJW, Zhang M, Liu M (2014) Can local landscape attributes explain species richness patterns at macroecological scales? Glob Ecol Biogeogr 23(4):436–445

    Article  Google Scholar 

  67. Yu H, Wang X, Cao L, Zhang L, Jia Q, Lee H, Xu Z, Liu G, Xu W, Hu B, Fox AD (2017) Are declining populations of wild geese in China ‘prisoners’ of their natural habitats? Curr Biol 27(10):376–377

    Article  CAS  Google Scholar 

  68. Zhang Y, Jia Q, Prins HH, Cao L, de Boer WF (2015) Individual-area relationship best explains goose species density in wetlands. PLoS ONE 10(5):e0124972

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  69. Zhang W, Li X, Yu L, Si Y (2018) Multi-scale habitat selection by two declining East Asian waterfowl species at their core spring stopover area. Ecol Indic 87:127–135

    Article  Google Scholar 

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Acknowledgements

We thank Yingying Wang (Wageningen University, The Netherlands) for help with the statistical analyses. We thank Zezhong Wang (Peking University, China), Zhouyuan Li (Wageningen University, The Netherlands), and Jing Li (Wageningen University, The Netherlands) for their suggestions on spatial scales and quantifications of habitat changes by landscape metrics. We thank Dorit Gross (Wageningen University, The Netherlands) for her suggestions on land cover products. Financial support was provided by the National Key R&D Program of China (No. 2017YFA0604404), the National Natural Science Foundation of China (No. 41471347), and Chinese Scholarship Council (No. 201600090128).

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Correspondence to Yali Si.

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Xu, Y., Si, Y., Yin, S. et al. Species-dependent effects of habitat degradation in relation to seasonal distribution of migratory waterfowl in the East Asian–Australasian Flyway. Landscape Ecol 34, 243–257 (2019). https://doi.org/10.1007/s10980-018-00767-7

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Keywords

  • Seasonal distribution
  • Species trait
  • Migratory waterfowl
  • Habitat loss
  • Fragmentation
  • Isolation
  • East Asian–Australasian Flyway
  • Migratory connectivity
  • Wetland