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Migratory birds often have tightly scheduled annual cycles, in which a delay in one event can have carry-over effects on the timing of later events, which may ultimately impact reproductive output. We utilize a large-scale study system to investigate carry-over effects in timing: the variation in annual schedules of individual Arctic SkuasStercorarius parasiticusat 12 breeding sites between East Greenland and West Siberia in relation to their use of seven widely divergent wintering areas across the Atlantic Ocean, Mediterranean Sea and Indian Ocean. We studied whether migration schedules differ among breeding populations as a function of their choice of wintering areas, and predicted that migrations over larger distances, with tighter schedules, would provide less room for compensating delays. Breeding at higher latitudes led not only to later timing of reproduction and migration, but also to different allocation of time to different phases, with faster spring migration and shorter time between return to the breeding area and clutch initiation. In contrast, breeding latitude had no effect on the duration of autumn migration and wintering period. Wintering area was consistent within individuals among years and had an additive effect on annual schedules, with more distant areas associated with more time spent on migration and less time spent in the wintering areas. Tracked skuas were able to adjust the period spent in the non-breeding area, regardless of the distance from the colony, which generally buffered the variation in timing of autumn migration. Despite individual variation in migration distances of thousands of km, skuas from the same population arrived largely synchronously at their breeding area. The lack of a consistent effect of migration distance on timing of return to the breeding grounds indicates that individuals synchronize their arrival with others in their population despite extensive individual differences in migration strategies.

Arctic sea-ice loss is emblematic of an amplified Arctic water cycle and has critical feedback implications for global climate. Stable isotopes (δ18O, δ2H, d-excess) are valuable tracers for constraining water cycle and climate processes through space and time. Yet, the paucity of well-resolved Arctic isotope data preclude an empirically derived understanding of the hydrologic changes occurring today, in the deep (geologic) past, and in the future. To address this knowledge gap, the Pan-Arctic Precipitation Isotope Network (PAPIN) was established in 2018 to coordinate precipitation sampling at 19 stations across key tundra, subarctic, maritime, and continental climate zones. Here, we present a first assessment of rainfall samples collected in summer 2018 (n = 281) and combine new isotope and meteorological data with sea ice observations, reanalysis data, and model simulations. Data collectively establish a summer Arctic Meteoric Water Line where δ2H = 7.6⋅δ18O–1.8 (r2 = 0.96, p < 0.01). Mean amount-weighted δ18O, δ2H, and d-excess values were −12.3, −93.5, and 4.9‰, respectively, with the lowest summer mean δ18O value observed in northwest Greenland (−19.9‰) and the highest in Iceland (−7.3‰). Southern Alaska recorded the lowest mean d-excess (−8.2%) and northern Russia the highest (9.9‰). We identify a range of δ18O-temperature coefficients from 0.31‰/°C (Alaska) to 0.93‰/°C (Russia). The steepest regression slopes (>0.75‰/°C) were observed at continental sites, while statistically significant temperature relations were generally absent at coastal stations. Model outputs indicate that 68% of the summer precipitating air masses were transported into the Arctic from mid-latitudes and were characterized by relatively high δ18O values. Yet 32% of precipitation events, characterized by lower δ18O and high d-excess values, derived from northerly air masses transported from the Arctic Ocean and/or its marginal seas, highlighting key emergent oceanic moisture sources as sea ice cover declines. Resolving these processes across broader spatial-temporal scales is an ongoing research priority, and will be key to quantifying the past, present, and future feedbacks of an amplified Arctic water cycle on the global climate system. © Copyright © 2021 Mellat, Bailey, Mustonen, Marttila, Klein, Gribanov, Bret-Harte, Chupakov, Divine, Else, Filippov, Hyöky, Jones, Kirpotin, Kroon, Markussen, Nielsen, Olsen, Paavola, Pokrovsky, Prokushkin, Rasch, Raundrup, Suominen, Syvänperä, Vignisson, Zarov and Welker. We gratefully acknowledge all participating PAPIN stations. Tarja T?rm?nen and Aino Erkinaro assisted with sample analysis at the Stable Isotope Laboratory, University of Oulu. Shawn Marriott, Patrick Duke and Polar Knowledge Canada are acknowledged for their support with the Canadian High Arctic Research Station. Sergey Serikov and Aleksandr Sokolov assisted with Russian precipitation sampling. The NOAA Air Resources Laboratory (ARL) is gratefully acknowledged for provision of the HYSPLIT transport model used in this study. NCEP/NCAR data were obtained from the National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory?s (ESRL) Physical Sciences Laboratory database. Funding. The Pan-Arctic Precipitation Isotope Network (PAPIN) received funding from the European Union?s Horizon 2020 Project INTERACT, under Grant Agreement No.730938 (JW PI). An Academy of Finland Grant (316014-JW PI). Support was also provided by a University of the Arctic Research Chairship to JW that funded isotope analyses and provided postdoctoral support for HB and K-RM and postgraduate research support for MM. A Russian Science Foundation Grant (No. 18-11-00024) to KG funded isotope analyses. SK was thankful to Russian Science Foundation (No. 20-67-46018). Russian Foundation for Basic Research (BFBR) supported isotopic analyses conducted by AP (#18-05-60203-Arktika).