Rice fields along the East Asian-Australasian flyway are important habitats for an inland wader's migration.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
05 03 2020
05 03 2020
Historique:
received:
09
01
2019
accepted:
06
02
2020
entrez:
7
3
2020
pubmed:
7
3
2020
medline:
27
11
2020
Statut:
epublish
Résumé
To maintain and recover populations of migratory waders, we must identify the important stopover sites and habitat use along migration routes. However, we have little such information for waders that depend on inland freshwater areas compared with those that depend on coastal areas. Recent technological developments in tracking devices now allow us to define habitat use at a fine scale. In this study, we used GPS loggers to track both spring and autumn migration along the East Asian-Australasian flyway of the little ringed plover (Charadrius dubius) as birds moved to and from their breeding grounds, gravel riverbeds in Japan. The birds we tracked overwintered in the Philippines and made stopovers mainly in Taiwan and the Philippines. The most important habitat during the non-breeding season was rice paddy fields. Our findings imply that changes in agriculture management policy in the countries along the migration route could critically affect the migration of waders that depend on rice paddy fields. To maintain populations of migrant inland waders that move within the East Asian-Australasian flyway, it is necessary not only to sustain the breeding habitat but also wetlands including the rice paddy fields as foraging habitat for the non-breeding season.
Identifiants
pubmed: 32139723
doi: 10.1038/s41598-020-60141-z
pii: 10.1038/s41598-020-60141-z
pmc: PMC7058008
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
4118Références
Zöckler, C., Delany, S. & Hagemeijer, W. Wader populations are declining: How will we elucidate the reasons? Wader Study Group Bull. 100, 202–211 (2003).
Amano, T., Székely, T., Koyama, K., Amano, H. & Sutherland, W. J. A framework for monitoring the status of populations: an example from wader populations in the East Asian-Australasian flyway. Biol. Conserv. 143, 2238–2247 (2010).
doi: 10.1016/j.biocon.2010.06.010
Andres, B. A. et al. Population estimates of North American shorebirds, 2012. Wader Study Group Bull. 119, 178–194 (2012).
Studds, C. E. et al. Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites. Nat. Commun. 8, 14895, https://doi.org/10.1038/ncomms14895 (2017).
doi: 10.1038/ncomms14895
pubmed: 5399291
pmcid: 5399291
Li, X. et al. Assessing changes of habitat quality for shorebirds in stopover sites: a case study in Yellow River Delta, China. Wetlands 39, 66–77 (2019).
Bart, J., Brown, S., Harrington, B. & Morrison, R. I. G. Survey trends of North American shorebirds: Population declines or shifting distributions? J. Avian. Biol. 38, 73–82 (2007).
doi: 10.1111/j.2007.0908-8857.03698.x
Piersma, T. & Lindström, Å. Migrating shorebirds as integrative sentinels of global environmental change. Ibis 146, 61–69, https://doi.org/10.1111/J.1474-919X.2004.00329.x (2004).
doi: 10.1111/J.1474-919X.2004.00329.x
Minton, C. et al. Geolocator studies on ruddy turnstones Arenaria interpres and greater sandplovers Charadrius leschenaultii in the East Asian-Australasia Flyway reveal widely different migration strategies. Wader Study Group Bull 118, 87–96 (2011).
Minton, C. et al. Recoveries and flag sightings of waders which spend the non-breeding season in Australia. Stilt 59, 17–43 (2011).
Battley, P. F. et al. Contrasting extreme long-distance migration patterns in bar-tailed godwits Limosa lapponica. J. Avian Biol. 43, 21–32, https://doi.org/10.1111/j.1600-048X.2011.05473.x (2012).
doi: 10.1111/j.1600-048X.2011.05473.x
Johnson, O. W. et al. New insight concerning transoceanic migratory pathways of Pacific golden-plovers (Pluvialis fulva): the Japan stopover and other linkages as revealed by geolocators. Wader Study Group Bull 119, 1–8 (2012).
Mu, T., Tomkovich, P. S., Loktionov, E. Y., Syroechkovskiy, E. E. & Wilcove, D. S. Migratory routes of red-necked phalaropes Phalaropus lobatus breeding in southern Chukotka revealed by geolocators. J. Avian Biol. e01853; https://doi.org/10.1111/jav.01853 (2018).
Fudickar, A. M., Wikelski, M. & Partecke, J. Tracking migratory songbirds: accuracy of light-level loggers (geolocators) in forest habitats. Methods Ecol. Evol. 3, 47–52, https://doi.org/10.1111/j.2041-210X.2011.00136.x (2012).
doi: 10.1111/j.2041-210X.2011.00136.x
Hays, G. C., Åkesson, S., Godley, B. J., Luschi, P. & Santidrian, P. The implications of location accuracy for the interpretation of satellite-tracking data. Anim. Behav. 61, 1035–1040 (2001).
doi: 10.1006/anbe.2001.1685
Davidson, N. C. How much wetland has the world lost? Long-term and recent trends in global wetland area. Mar. Freshwater Res. 65, 934–941 (2014).
doi: 10.1071/MF14173
Amano, T. Conserving bird species in Japanese farmland: past achievements and future challenges. Biol. Conserv. 142, 1913–1921 (2009).
doi: 10.1016/j.biocon.2008.12.025
Elphick, C. S. Functional equivalency between rice fields and semi-natural wetland habitats. Conserv. Biol. 14, 181–191 (2000).
doi: 10.1046/j.1523-1739.2000.98314.x
Xiao, X. et al. Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sens Environ. 100, 95–113 (2006).
doi: 10.1016/j.rse.2005.10.004
Hallworth, M. T. & Marra, P. P. Miniaturized GPS tags identify non-breeding territories of a small breeding migratory songbird. Sci. Rep. 5, 11069, https://doi.org/10.1038/srep11069 (2015).
doi: 10.1038/srep11069
pubmed: 26057892
pmcid: 26057892
Jung, T. S. et al. Accuracy and performance of low-feature GPS collars deployed on bison Bison bison and caribou Rangifer tarandus. Wildl. Biol. 2018, https://doi.org/10.2981/wlb.00404 (2018).
Marquardt, D. D. et al. Assessment of GPS Transmitters for Use on Northern Bobwhite Quail. JSAFWA 4, 100–108 (2017).
Cramp, S. & Simmons, K.E.L. Handbook of the birds of Europe, the Middle East and North Africa. The birds of the Western Palearctic. 3. Waders to gulls (Oxford University Press, NY, 1983).
del Hoyo, J., Elliot, A. & Sargatal, J. (Eds), Handbook of the Birds of the World. Vol. 3. Hoatzin to Auk (Lynx Editions, Barcelona, Spain, 1996).
BirdLife International. Charadrius dubius. The IUCN Red List of Threatened Species 2016: e.T22693770A86577884, https://doi.org/10.2305/IUCN.UK.2016-3.RLTS.T22693770A86577884.en (2016).
Clements, J. F. et al. The Clements checklist of birds of the world: Version 2018, http://www.birds.cornell.edu/clementschecklist/download/ (2018).
Bamford, M., Watkins, D., Bancroft, W., Tischler, G. & Wahl, J. Migratory Shorebirds of the East Asian - Australasian Flyway; Population Estimates and Internationally Important Sites (Wetlands International - Oceania, Canberra, Australia, 2008).
Dickinson, E. C. & Remsen, J. V. Jr. (Eds), The Howard & Moor Complete Checklist of the Birds of the World. 4th. Edition, Vol. 1. Non-passerines (Aves Press, Eastbourne, U.K. 2013).
Hedenström, A., Klaassen, R. H. G. & Åkesson, S. Migration of the little ringed plover Charadrius dubius breeding in south Sweden tracked by geolocators. Bird Study 60, 466–474 (2013).
doi: 10.1080/00063657.2013.843635
Ministry of the Environment of Japan. Web-GIS Atlas of Birds (Bird Banding Survey, Data of recovery records), http://www.biodic.go.jp/birdRinging_en/index.html (2018).
Nakamura, K., Tockner, K. & Amano, K. River and wetland restoration: lessons from Japan. BioScience. 56, 419–429 (2006).
doi: 10.1641/0006-3568(2006)056[0419:RAWRLF]2.0.CO;2
Yabuhara, Y., Yamaura, Y., Akasaka, T. & Nakamura, F. Predicting long-term changes in riparian bird communities in floodplain landscapes. River Res. Appl. 31, 109–119 (2015).
doi: 10.1002/rra.2721
Ornithological Society of Japan. Check-list of Japanese birds (Gakken, Tokyo, 2000).
Bellio, M., Minton, C. & Veltheim, I. Challenges faced by shorebird species using the inland wetlands of the East Asian-Australasian Flyway: the little curlew example. Mar. Freshwater Res. 68, 999–1009 (2017).
doi: 10.1071/MF15240
Lisovski, S. et al. Movement patterns of sanderling (Calidris alba) in the East Asian-Australasian Flyway and a comparison of methods for identification of crucial areas for conservation. Emu-Austral Ornithology 116, 168–177 (2016).
doi: 10.1071/MU15042
Council of Agriculture, Executive Yuan, ROC. Farm land area structure. Council of Agriculture, Executive Yuan, ROC, https://echart.coa.gov.tw/index.php?cid=28 (2018).
Chang, Y. C., Uphoff, N. T. & Yamaji, E. A conceptual framework for eco-friendly paddy farming in Taiwan, based on experimentation with System of Rice Intensification (SRI) methodology. Paddy and water environment 14, (169–183 (2016).
Silva, J. V., Reidsma, P., Velasco, M. L., Laborte, A. G. & van Ittersum, M. K. Intensification of rice-based farming systems in Central Luzon, Philippines: Constraints at field, farm and regional levels. Agricultural systems 165, 55–70 (2018).
doi: 10.1016/j.agsy.2018.05.008
Dias, R. A., Blanco, D. E., Goijman, A. P. & Zaccagnini, M. E. Density, habitat use, and opportunities for conservation of shorebirds in rice fields in southeastern South America. The Condor 116, 384–393 (2014).
doi: 10.1650/CONDOR-13-160.1
Kuo, C. C. et al. Cascading effect of economic globalization on human risks of scrub typhus and tick-borne rickettsial diseases. Ecol. Appl. 22, 1803–1816 (2012).
doi: 10.1890/12-0031.1
Ferng, J. J. Effects of food consumption patterns on paddy field use in Taiwan. Land Use Policy 26, 772–781 (2009).
doi: 10.1016/j.landusepol.2008.10.005
Stuecker, M. F., Tigchelaar, M. & Kantar, M. B. Climate variability impacts on rice production in the Philippines. PLoS ONE 13, e0201426, https://doi.org/10.1371/journal.pone.0201426 (2018).
doi: 10.1371/journal.pone.0201426
pubmed: 6084865
pmcid: 6084865
Hewson, C. M., Thorup, K., Pearce-Higgins, J. W. & Atkinson, P. W. Population decline is linked to migration route in the common cuckoo. Nat. Commun. 7, 12996 (2016).
doi: 10.1038/ncomms12296
Newton, I. The Migration Ecology of Birds (Academic Press, London, 2008).
Fujioka, M., Lee, S. D., Kurechi, M. & Yoshida, H. Bird use of rice fields in Korea and Japan. Waterbirds 33, 8–29 (2010).
doi: 10.1675/063.033.s102
Saunders, S. P., Roche, E. A., Arnold, T. W. & Cuthbert, F. J. Female site familiarity increases fledging success in piping plovers (Charadrius melodus). The Auk 129, 329–337 (2012).
doi: 10.1525/auk.2012.11125
Haig, S. M. & Oring, L. W. Mate, site, and territory fidelity in piping plovers. The Auk 105, 268–277 (1988).
doi: 10.2307/4087489
Cohen, J. B. & Gratto-Trevor, C. Survival, site fidelity, and the population dynamics of piping plovers in Saskatchewan. J. Field Ornithol 82, 379–394 (2011).
doi: 10.1111/j.1557-9263.2011.00341.x
Barter, M. Shorebirds of the Yellow Sea: Importance, Threats and Conservation Status. Wetlands International Global Series 9. Int. Wader Stud. 12 (Canberra, Australia, 2002).
Hall, L. K. & Cavitt, J. F. Comparative study of trapping methods for ground-nesting shorebirds. Waterbirds 35, 342–346 (2012).
doi: 10.1675/063.035.0216
Bub, H. Bird Trapping and Bird Banding (Cornell University Press, Ithaca, NY, 1991).
Rappole, J. H. & Tipton, A. R. New Harness design for attachment of radio transmitters to small passerines. J. Field Ornithol. 62, 335–337 (1991).
Geen, G. R., Robinson, R. A. & Baillie, S. R. Effects of tracking devices on individual birds-a review of the evidence. J. Avian Biol., https://doi.org/10.1111/jav.01823 (2019).
QGIS Development Team. QGIS Geographic Information System; Open Source Geospatial Foundation Project, http://qgis.osgeo.org (2018)
Calenge, C. The package ‘adehabitat’ for the R software: A tool for the analysis of space and habitat use by animals. Ecol. Modell. 197, 516–519 (2006).
doi: 10.1016/j.ecolmodel.2006.03.017
R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from, https://www.R-project.org/ (2018).
Kobayashi, T. et al. Production of Global Land Cover Data-GLCNMO2013. Journal of Geography and Geology 9, 1–15, https://doi.org/10.5539/jgg.v9n3p1 (2017).
doi: 10.5539/jgg.v9n3p1
Bagan, H., Wang, Q., Watanabe, M., Yonghui, Y. & Jianwen, M. Land cover classification from MODIS EVI times-series data using SOM neural network. Int. J. Remote Sens. 26, 4999–5012 (2005).
doi: 10.1080/01431160500206650
Feng, X. et al. Net primary productivity of China’s terrestrial ecosystems from a process model driven by remote sensing. J. Environ. Manage. 85, 563–573 (2007).
doi: 10.1016/j.jenvman.2006.09.021
BSWM. National Capability Building for Philippine Land Degradation Assessment and Climate Change Adaptation (FAO/TCP/PHI/3302), http://www.bswm.da.gov.ph/ladaphilippines/index.html (2013).
Wardrop, N. A. et al. Bayesian spatial modelling and the significance of agricultural land use to scrub typhus infection in Taiwan. Geospatial Health 8, 229–239 (2013).
doi: 10.4081/gh.2013.69
Huang, J. C. et al. Effects of different N sources on riverine DIN export and retention in subtropical high-standing island, Taiwan. Biogeosciences 13, 1787–1800 (2016).
doi: 10.5194/bg-13-1787-2016
National Land Surveying and Mapping Center. Taiwan MAP Service, https://maps.nlsc.gov.tw/EN/ (2018).
Yamashina Institute for Ornithology, Bird banding manual 11th revision, http://www.biodic.go.jp/banding/pdf/banding_manual.pdf , (Japanese only, 2009).