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Predictions of southern migration timing in coastal sharks under future ocean warming

  • Stony Brook University
  • Mote Marine Laboratory
  • OCEARCH
  • Jacksonville University
  • National Oceanic and Atmospheric Administration
  • New York State Department of Environmental Conservation
  • Monmouth University
  • New England Aquarium
  • Atlantic Shark Institute

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Projected redistribution of marine species due to ocean warming may undermine current conservation efforts. Yet, there have been few studies on how ocean warming may alter migration timing. Across 5 years of acoustic telemetry data (2018–2022), we determined environmental drivers of southward migration timing for 6 migratory shark species from summer habitats in the Northwest Atlantic Ocean. We then forecasted how migratory timing from 3 regions, between the New England shelf and Mid-Atlantic Bight, would respond under future sea surface temperatures (SSTs). Photoperiod and SST were strong predictors of southern migration in sharks, but the strength of these effects varied latitudinally. Overall, we found delayed departure dates from summer habitats under future elevated SSTs, indicating prolonged residency in northern habitats (median = ∼12 days). Sandbar sharks (Carcharhinus plumbeus) exhibited the largest delay in the onset of southern migrations (median = 29 days), whereas sand tiger sharks (Carcharias taurus) and white sharks (Carcharodon carcharias) exhibited the smallest delay (median = 1 day). Delays in migration timing of coastal shark species may alter local ecosystem dynamics and challenge current management strategies. These findings illustrate the utility of collaborative data-sharing networks to expand understanding of broadscale animal movements and contribute to effective species management under a changing climate.

Original languageEnglish
Article numbere70080
JournalConservation Biology
Volume39
Issue number6
DOIs
StatePublished - Dec 2025

Keywords

  • Atlántico Noroccidental
  • New York
  • Northwest Atlantic
  • Nueva York
  • cambio climático
  • climate change
  • comportamiento migratorio
  • elasmobranch
  • elasmobranquios
  • modelos predictivos
  • movement behavior
  • predictive modeling
  • 气候变化
  • 移动行为
  • 纽约
  • 西北大西洋
  • 软骨鱼
  • 预测建模

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