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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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Related Experiment Video

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Micro-drive Array for Chronic in vivo Recording: Drive Fabrication
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Memory and resource tracking drive blue whale migrations.

Briana Abrahms1, Elliott L Hazen2,3, Ellen O Aikens4,5

  • 1Environmental Research Division, National Oceanic and Atmospheric Administration (NOAA) Southwest Fisheries Science Center, Monterey, CA 93940; briana.abrahms@noaa.gov.

Proceedings of the National Academy of Sciences of the United States of America
|February 27, 2019
PubMed
Summary
This summary is machine-generated.

Blue whales track historical climate patterns, not real-time food availability, when migrating. This suggests memory, not immediate cues, drives their movements, potentially hindering adaptation to rapid environmental changes.

Keywords:
marine megafaunamigrationmovement ecologyresource wavespatial memory

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Area of Science:

  • Marine Ecology
  • Animal Migration
  • Behavioral Ecology

Background:

  • The green wave hypothesis explains how terrestrial migrants use resource waves for foraging.
  • This hypothesis remains largely untested in migratory marine megafauna.
  • Understanding migration drivers is crucial for predicting impacts of environmental change.

Purpose of the Study:

  • To test the green wave hypothesis in marine systems using blue whales.
  • To investigate if blue whales track contemporaneous or average bloom phenology.
  • To evaluate the role of memory versus proximate cues in marine migration.

Main Methods:

  • Compared 10 years of blue whale movement data with phytoplankton bloom timing in the California Current Ecosystem.
  • Analyzed blue whale foraging locations relative to long-term habitat variability and productivity.
  • Assessed tracking of contemporaneous bloom 'green-up' versus long-term average bloom phenology.

Main Results:

  • Blue whales aligned with the long-term average phenology of the spring phytoplankton bloom.
  • Blue whales did not track the contemporaneous 'green-up' of the bloom.
  • Foraging sites showed low long-term variability and high long-term productivity.

Conclusions:

  • Memory of long-term average conditions significantly influences blue whale migration.
  • Marine megafauna may struggle to adapt to rapid environmental shifts.
  • Migration theories are conserved across terrestrial and marine ecosystems.