Add Schrage paper

Author: erikvansebille

src/data/papers-citing-parcels.ts

@@ -2712,6 +2712,16 @@ export const papersCitingParcels: Paper[] = [
     abstract:
       'Leatherback sea turtles Dermochelys coriacea perform extensive post-nesting migrations with a high degree of inter-individual variation. Oceanographic features such as mesoscale eddies and ocean currents can influence these long-distance movements by directly influencing their swimming, as well as through differential distribution of prey. Here, we used satellite telemetry to investigate the routes taken by 9 leatherback turtles tagged on Little Andaman Island in the Indian Ocean. A switching state-space model (SSM) was used to classify the locations into 2 behavioural states: ’migrating’ and ’resident’. We used remote sensing data sets to examine the influence of oceanographic features and environmental variables on turtle migration. Finally, we executed Lagrangian dispersal models to determine whether adult migratory paths aligned with the passive drift encountered by hatchlings when they leave their natal beach. The tagged leatherbacks showed widely varying routes and final destinations: while 4 turtles swam south-westwards in the direction of Madagascar and mainland Africa, 5 swam south-eastwards towards the coasts of Western Australia and Timor-Leste. West-travelling turtles showed a higher degree of passive swimming and an influence of eddies. ’Resident’ leatherback locations at the ends of the tracks had significantly higher values of chlorophyll and primary productivity. Dispersal models showed that hatchlings remained in the Bay of Bengal for 5-10 yr, suggesting that active swimming may be needed to reach current systems that eventually enable them to reach adult feeding grounds. Overall, leatherbacks from the Andaman Islands used a wide range of feeding areas, which may make them more resilient to localised threats.',
   },
+  {
+    title:
+      'Diversity, drivers, and dispersal of high Arctic meroplanktonic communities',
+    published_info: 'Progress in Oceanography, in press',
+    authors:
+      'Schrage, KR, JNJ Weston, A Kraberg, R McPherson, W-J Von Appen, L Lago, KS Meyer-Kaiser (2025)',
+    doi: 'https://doi.org/10.1016/j.pocean.2025.103656',
+    abstract:
+      'Rapid Arctic warming is altering marine ecosystems, yet the diversity and dispersal of meroplankton—larval stages of benthic invertebrates—remain poorly understood in the region. This study presents the first detailed characterization of meroplanktonic communities in the Fram Strait, based on summer collections made in 2023 and 2024 across the Long-Term Ecological Research observatory HAUSGARTEN. Using integrated and depth-stratified vertical net tows and DNA barcoding, we identified 77 taxa, 33 of which were identified to the species level. Meroplankton were most dense in the upper 200 m, dominated by bivalves and ophiuroids, with significant patchiness across depths and regions. Community composition was related to water mass and phytoplankton community composition (explaining 25 % of the variability among stations), but not to sea ice cover, reflecting a complex coupling between benthic reproduction and pelagic conditions. Lagrangian particle tracking revealed that larvae in the West Spitsbergen Current may originate from as far south as northern Norway, while East Greenland Current larvae likely derive from central Arctic waters. Species-level investigations of meroplankton distribution are critical for assessing existing biodiversity and detecting changes to species composition. Here, most larvae belonged to local or Arcto-Boreal species, though seven taxa had no adult records in the Fram Strait, which may indicate larvae being wasted (not surviving to settlement), broad connectivity among coastal Arctic populations, and/or range expansions. These findings highlight the interplay between hydrography and hydrodynamics, larval ecology, and climate-driven change, and establish a baseline for monitoring Arctic benthic connectivity and biodiversity under ongoing ocean warming.',
+  },
   {
     title:
       'Dispersion monitoring services in the Mediterranean Sea: A multi-model statistical approach',