Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species

We tracked 39 western flyway white-naped cranes (Antigone vipio) throughout multiple annual cycles from June 2017 to July 2020, using GSM-GPS loggers providing positions every 10-min to describe migration routes and key staging areas used between their Mongolian breeding and wintering areas in China’s Yangtze River Basin. The results demonstrated that white-naped cranes migrated an average of 2556 km (±187.9 SD) in autumn and 2673 km (±342.3) in spring. We identified 86 critical stopover sites that supported individuals for more than 14 days, within a 100–800 km wide migratory corridor. This study also confirmed that Luan River catchment is the most important staging region, where white-naped cranes spent 18% of the annual cycle (in both spring and autumn) each year. Throughout the annual cycle, 69% of the tracking locations were from outside of the currently protected areas, while none of the critical staging areas enjoyed any form of site protection. We see further future potential to combine avian tracking data and remote-sensing information throughout the annual range of the white-naped crane to restore it and other such species to a more favourable conservation status.

[1]  S. Votier,et al.  GPS tracking reveals rafting behaviour of Northern Gannets (Morus bassanus): implications for foraging ecology and conservation , 2016 .

[2]  E. Fernández-Juricic,et al.  Avian responses to aircraft in an airport environment , 2019, The Journal of Wildlife Management.

[3]  Huadong Guo,et al.  Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks , 2014 .

[4]  Thomas V. Stehn,et al.  Whooping Crane Collisions with Power Lines: an Issue Paper , 2008 .

[5]  Niko Balkenhol,et al.  Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patterns , 2016, Movement ecology.

[6]  Andrea Kölzsch,et al.  Individually tracked geese follow peaks of temperature acceleration during spring migration , 2012 .

[7]  Simon Benhamou,et al.  Animal movements in heterogeneous landscapes: identifying profitable places and homogeneous movement bouts. , 2008, Ecology.

[8]  Jiahu Jiang,et al.  Sand mining and increasing Poyang Lake's discharge ability: A reassessment of causes for lake decline in China , 2014 .

[9]  Lei Cao,et al.  Size matters: wintering ducks stay longer and use fewer habitats on largest Chinese lakes , 2019, Avian Research.

[10]  Y. Si,et al.  Water level affects availability of optimal feeding habitats for threatened migratory waterbirds , 2017, Ecology and evolution.

[11]  T. Alerstam,et al.  Differences in Speed and Duration of Bird Migration between Spring and Autumn , 2013, The American Naturalist.

[12]  L. Zhen,et al.  Impacts of ecological restoration and human activities on habitat of overwintering migratory birds in the wetland of Poyang Lake, Jiangxi Province, China , 2015, Journal of Mountain Science.

[13]  Mark K Hinders,et al.  A sonic net excludes birds from an airfield: implications for reducing bird strike and crop losses. , 2016, Ecological applications : a publication of the Ecological Society of America.

[14]  Bin Chen,et al.  Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. , 2019, Science bulletin.

[15]  R. Sinnott Virtues of the Haversine , 1984 .

[16]  Christian Rutz,et al.  Reality mining of animal social systems. , 2013, Trends in ecology & evolution.

[17]  E. Batschelet Circular statistics in biology , 1981 .

[18]  Simon Benhamou,et al.  Optimising the use of bio-loggers for movement ecology research. , 2019, The Journal of animal ecology.

[19]  Qi Zhang,et al.  Effects of the Three Gorges Dam on Yangtze River flow and river interaction with Poyang Lake, China: 2003-2008 , 2012 .

[20]  Li Jiao,et al.  China. Scientists line up against dam that would alter protected wetlands. , 2009, Science.

[21]  R. Siegel,et al.  GPS‐tracking reveals non‐breeding locations and apparent molt migration of a Black‐headed Grosbeak , 2016 .

[22]  Göran Ericsson,et al.  Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement , 2015, Movement Ecology.

[23]  The Far East taiga forest: unrecognized inhospitable terrain for migrating Arctic-nesting waterbirds? , 2018, PeerJ.

[24]  Changing Abundance and Distribution of the Wintering Swan Goose Anser cygnoides in the Middle and Lower Yangtze River Floodplain: An Investigation Combining a Field Survey with Satellite Telemetry , 2019, Sustainability.

[25]  James Harris,et al.  A global overview of cranes: status, threats and conservation priorities , 2013 .

[26]  Jonathan R. I. Coleman,et al.  Time versus energy minimization migration strategy varies with body size and season in long-distance migratory shorebirds , 2017, Movement ecology.

[27]  Steeve D Côté,et al.  Detecting changes in the annual movements of terrestrial migratory species: using the first-passage time to document the spring migration of caribou , 2014, Movement Ecology.

[28]  W. Sutherland,et al.  A framework for monitoring the status of populations: An example from wader populations in the East Asian–Australasian flyway , 2010 .

[29]  M. Ueta,et al.  Migratory stopover and wintering locations in eastern China used by white-naped cranes Grus vipio and hooded cranes G. monacha, as determined by satellite tracking , 2000 .

[30]  Nagahisa Mita,et al.  Satellite Tracking of White-naped Crane Migration and the Importance of the Korean Demilitarized Zone , 1996 .

[31]  Lei Cao,et al.  Spring migration duration exceeds that of autumn migration in Far East Asian Greater White-fronted Geese (Anser albifrons) , 2019, Avian Research.

[32]  T. Alerstam,et al.  Ecology of animal migration , 2018, Current Biology.

[33]  Wintering Swan Geese maximize energy intake through substrate foraging depth when feeding on buried Vallisneria natans tubers , 2019, Avian Research.

[34]  Víctor M. Eguíluz,et al.  Animal-Borne Telemetry: An Integral Component of the Ocean Observing Toolkit , 2019, Front. Mar. Sci..

[35]  S. Benhamou How to reliably estimate the tortuosity of an animal's path: straightness, sinuosity, or fractal dimension? , 2004, Journal of theoretical biology.

[36]  G. Martin,et al.  Bird collisions with power lines: Failing to see the way ahead? , 2010 .

[37]  R. Kays,et al.  Emerging Technologies to Conserve Biodiversity. , 2015, Trends in ecology & evolution.

[38]  Hans van Gasteren,et al.  Aeroecology meets aviation safety: early warning systems in Europe and the Middle East prevent collisions between birds and aircraft , 2019, Ecography.

[39]  Cheng Wang,et al.  Habitat selection of wintering cranes (Gruidae) in typical lake wetland in the lower reaches of the Yangtze River, China , 2019, Environmental Science and Pollution Research.

[40]  Marc Lavielle,et al.  Using penalized contrasts for the change-point problem , 2005, Signal Process..

[41]  Matthew E. Watts,et al.  Integrating research using animal‐borne telemetry with the needs of conservation management , 2017 .

[42]  Marco Heurich,et al.  Adding structure to land cover – using fractional cover to study animal habitat use , 2014, Movement ecology.

[43]  Laura Navarrete,et al.  SANDHILL CRANE COLLISIONS WITH WIND TURBINES IN TEXAS , 2014 .

[44]  X. Mei,et al.  Linkage between Three Gorges Dam impacts and the dramatic recessions in China’s largest freshwater lake, Poyang Lake , 2015, Scientific Reports.

[45]  Nagahisa Mita,et al.  Using a Remote Technology in Conservation: Satellite Tracking White‐Naped Cranes in Russia and Asia , 2004 .

[46]  B. Nolet,et al.  Towards a new understanding of migration timing: slower spring than autumn migration in geese reflects different decision rules for stopover use and departure , 2016 .