Assessing site-safeguard effectiveness and habitat preferences of Bar-headed Geese (Anser indicus) at their stopover sites within the Qinghai-Tibet Plateau using GPS/GSM telemetry

Author:

Zhang Junjian,Xie Yanbo,Li Laixing,Batbayar Nyambayar,Deng Xueqin,Damba Iderbat,Meng Fanjuan,Cao Lei,Fox Anthony David

Abstract

Abstract Background The Bar-headed Goose (Anser indicus) breeds across the high plains and plateau of Central Asia and winters in the Qinghai-Tibet Plateau (QTP), the Yunnan-Guizhou Plateau and the Indian sub-continent. Of the two recognized discrete flyways of the Bar-headed Goose, the Eastern Tibetan Flyway (ETF) is the larger, comprising at least six migration routes. However, we remain ignorant about their migratory connectivity, habitat use and effectiveness of site-safeguard mechanisms set in place for the species. Methods We tracked 30 ETF Bar-headed Geese from Chinese and Mongolian breeding areas to their wintering grounds using GPS/GSM transmitters, to determine their migration routes and stopover staging patterns within the QTP, overlaying these upon GIS layers of protected area status and habitat type, to model their habitat selection. Results In total, 14 tagged Bar-headed Geese provided information on their entire autumn migration and 4 geese on their entire spring migration. Qinghai Lake marked birds overwintered in the QTP (n = 2), geese tagged in Mongolia wintered either in the QTP (n = 3) or in India/Bangladesh (n = 9), representing three of the migration routes within the ETF. In total, tagged birds staged at 79 different stopover sites within QTP in autumn and 23 in spring, of which 65% (autumn) and 59% (spring) of all fixes fell within the boundaries of either National Nature Reserves (NNRs) or Important Birds Areas (IBAs) in the QTP. Bar-headed Geese predominantly occurred on four land-cover types: grassland (mostly by day), water bodies (at night), wetlands and bare substrates (salt flats, dry lake/river substrates and plough) with little change in proportion. Generalized linear mixed models comparing presence with pseudo-absence data suggested geese strongly selected for wetlands as staging habitat, avoiding bare substrates in spring. Conclusions Based on our limited observations of these tagged geese, this study is the first to show that the current designated National Nature Reserves in place in the staging areas within the QTP appear adequate to protect this increasing population. In addition, Hala Lake in Qinghai Province and adjacent areas used as initial QTP staging during autumn migration (currently outside of designated as NNRs/IBAs) are recommended for protection, based on their use by tagged birds from this study. Habitat modelling confirmed the importance of natural wetlands as feeding areas and safe areas of open water as roosting places.

Funder

National Natural Science Foundation of China

China Biodiversity Observation Networks

Publisher

Elsevier BV

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Reference69 articles.

1. Altman M, Gill J, McDonald MP. Numerical issues in statistical computing for the social scientist. Hoboken, New Jersey: Wiley; 2004.

2. Bartoń K. MuMIn: Multi-model inference. R package version 1.43.15. 2019. https://CRAN.R-project.org/package=MuMIn.

3. Batbayar N, Takekawa JY, Natsagdorj T, Spragens KA, Xiao X. Site selection and nest survival of the Bar-headed Goose (Anser indicus) on the Mongolian Plateau. Waterbirds. 2014;37:381–93.

4. Becker RA, Chambers JM. S: An interactive environment for data analysis and graphics. Boca Raton: CRC Press; 1984.

5. BirdLife International. Country profile: China (mainland). 2020. https://www.birdlife.org/datazone/country/china. Accessed 07 Jan 2020.

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