open access publication

Preprint, 2024

Four centuries of commercial whaling eroded 11,000 years of population stability in bowhead whales

bioRxiv, Page 2024.04.10.588858, 10.1101/2024.04.10.588858

Contributors

Westbury, Michael Vincent 0000-0003-0478-3930 (Corresponding author) [1] Brown, Stuart C 0000-0002-0669-1418 [1] [2] Cabrera, Andrea A 0000-0001-5385-1114 [1] Morales, Hernán E 0000-0002-2964-020X [1] Ma, Jilong [3] Rey-Iglesia, Alba [1] Dyke, Arthur S [4] Scharff-Olsen, Camilla Hjorth 0000-0002-4876-2608 [1] Scott, Michael B 0000-0002-6110-0211 [5] Wiig, Øystein [6] Bachmann, Lutz 0000-0001-7451-2074 [6] Kovacs, Kit Maureen 0000-0002-5878-4819 [7] Lydersen, Christian L 0000-0003-3868-2345 [7] Ferguson, Steven H 0000-0002-3794-0122 [8] Racimo, Fernando 0000-0002-5025-2607 [1] Szpak, Paul [5] Fordham, Damien A 0000-0003-2137-5592 [1] [2] Lorenzen, Eline Deirdre 0000-0002-6353-2819 (Corresponding author) [1]

Affiliations

  1. [1] University of Copenhagen
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] University of Adelaide
  4. [NORA names: Australia; Oceania; OECD];
  5. [3] Aarhus University
  6. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] McGill University
  8. [NORA names: Canada; America, North; OECD];
  9. [5] Trent University
  10. [NORA names: Canada; America, North; OECD];

Abstract

Summary The bowhead whale, an Arctic endemic, was heavily overexploited during commercial whaling between the 16th-20th centuries 1 . Current climate warming, with Arctic amplification of average global temperatures, poses a new threat to the species 2 . Assessing the vulnerability of bowhead whales to near-future predictions of climate change remains challenging, due to lacking data on population dynamics prior to commercial whaling and responses to past climatic change. Here, we integrate palaeogenomics and stable isotope ( δ 13 C and δ 15 N) analysis of 201 bowhead whale fossils from the Atlantic Arctic with palaeoclimate and ecological modelling based on 823 radiocarbon dated fossils, 151 of which are new to this study. We find long-term resilience of bowhead whales to Holocene environmental perturbations, with no obvious changes in genetic diversity or population structure, despite large environmental shifts and centuries of whaling by Indigenous peoples prior to commercial harvests. Leveraging our empirical data, we simulated a time-series model to quantify population losses associated with commercial whaling. Our results indicate that commercial exploitation induced population subdivision and losses of genetic diversity that are yet to be fully realised; declines in genetic diversity will continue, even without future population size reductions, compromising the species’ resilience to near-future predictions of Arctic warming.

Keywords

Arctic, Arctic amplification, Arctic warming, Atlantic, Atlantic Arctic, Holocene, amplification, bowhead, bowhead whales, century, changes, climate, climate change, climate warming, commercial harvest, commercial whaling, current climate warming, data, decline, diversity, dynamics, ecological model, empirical data, environmental perturbations, environmental shifts, fossils, genetic diversity, global temperature, harvest, indigenous peoples, isotopes, lack data, long-term resilience, loss, loss of genetic diversity, model, near-future prediction, palaeoclimate, palaeogenomics, people, perturbation, population, population dynamics, population loss, population size reduction, population stability, population structure, population subdivision, prediction, radiocarbon, reduction, resilience, response, results, shift, size reduction, species, species 2, species resilience, stability, stable isotopes, structure, study, subdivision, temperature, threat, time series, time series models, vulnerability, warming, whale fossil, whales, years

Funders

  • European Research Council
  • The Research Council of Norway
  • Novo Nordisk Foundation
  • European Commission
  • The Velux Foundations

Data Provider: Digital Science