globalchange  > 气候变化事实与影响
DOI: 10.1073/pnas.1819031116
WOS ID: WOS:000461679000061
Title:
Memory and resource tracking drive blue whale migrations
Author: Abrahms, Briana1; Hazen, Elliott L.1,2; Aikens, Ellen O.3,4; Savoca, Matthew S.5; Goldbogen, Jeremy A.5; Bograd, Steven J.1; Jacox, Michael G.1,6; Irvine, Ladd M.7,8; Palacios, Daniel M.7,8; Mate, Bruce R.7,8
Corresponding Author: Abrahms, Briana
Source Publication: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN: 0027-8424
Publishing Year: 2019
Volume: 116, Issue:12, Pages:5582-5587
Language: 英语
Keyword: marine megafauna ; migration ; movement ecology ; resource wave ; spatial memory
WOS Keyword: ENVIRONMENTAL-CONDITIONS ; SPRING MIGRATION ; SPATIAL MEMORY ; CLIMATE-CHANGE ; BALEEN WHALES ; CALIFORNIA ; PACIFIC ; HABITAT ; CETACEANS ; ECOLOGY
WOS Category: Multidisciplinary Sciences
WOS Research Area: Science & Technology - Other Topics
English Abstract:

In terrestrial systems, the green wave hypothesis posits that migrating animals can enhance foraging opportunities by tracking phenological variation in high-quality forage across space (i.e., "resource waves"). To track resource waves, animals may rely on proximate cues and/or memory of long-term average phenologies. Although there is growing evidence of resource tracking in terrestrial migrants, such drivers remain unevaluated in migratory marine megafauna. Here we present a test of the green wave hypothesis in a marine system. We compare 10 years of blue whale movement data with the timing of the spring phytoplankton bloom resulting in increased prey availability in the California Current Ecosystem, allowing us to investigate resource tracking both contemporaneously (response to proximate cues) and based on climatological conditions (memory) during migrations. Blue whales closely tracked the long-term average phenology of the spring bloom, but did not track contemporaneous green-up. In addition, blue whale foraging locations were characterized by low long-term habitat variability and high long-term productivity compared with contemporaneous measurements. Results indicate that memory of long-term average conditions may have a previously underappreciated role in driving migratory movements of long-lived species in marine systems, and suggest that these animals may struggle to respond to rapid deviations from historical mean environmental conditions. Results further highlight that an ecological theory of migration is conserved across marine and terrestrial systems. Understanding the drivers of animal migration is critical for assessing how environmental changes will affect highly mobile fauna at a global scale.


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被引频次[WOS]:51   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/132198
Appears in Collections:气候变化事实与影响

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Affiliation: 1.NOAA, Environm Res Div, Southwest Fisheries Sci Ctr, Monterey, CA 93940 USA
2.Univ Calif Santa Cruz, Dept Ecol & Evolutionary Biol, Santa Cruz, CA 95064 USA
3.Univ Wyoming, Dept Zool & Physiol, Wyoming Cooperat Fish & Wildlife Res Unit, Laramie, WY 82071 USA
4.Univ Wyoming, Program Ecol, Laramie, WY 82071 USA
5.Stanford Univ, Dept Biol, Hopkins Marine Stn, Pacific Grove, CA 93950 USA
6.NOAA, Phys Sci Div, Earth Syst Res Lab, Boulder, CO 80305 USA
7.Oregon State Univ, Marine Mammal Inst, Newport, OR 97365 USA
8.Oregon State Univ, Dept Fisheries & Wildlife, Corvallis, OR 97331 USA

Recommended Citation:
Abrahms, Briana,Hazen, Elliott L.,Aikens, Ellen O.,et al. Memory and resource tracking drive blue whale migrations[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2019-01-01,116(12):5582-5587
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