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Exploring the giant kelp, Macrocystis pyrifera, connectivity in the Southeast Pacific region for effective conservation and management

James Cook University
Thompson Saud, Gabriela ; Grech, Alana
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/hybj-4d19&rft.title=Exploring the giant kelp, Macrocystis pyrifera, connectivity in the Southeast Pacific region for effective conservation and management &rft.identifier=10.25903/hybj-4d19&rft.publisher=James Cook University&rft.description=Background: Comprehending Macrocystis pyrifera connectivity in the Southeast Pacific region assumes a pivotal role in its management. A comprehensive understanding of this fundamental aspect of population dynamics is imperative for the identification and safeguarding of key areas fostering connectivity. Despite its importance in conservation efforts, the connectivity patterns of giant kelp in the Southeast Pacific remain inadequately understood. Objective: This study aims to evaluate the connectivity of M. pyrifera in the Southeast Pacific, with a specific focus on the influence of environmental variables and their implications for management.   Results: Employing network analysis, we discovered that the southern population (36 to 43°S) serves as a crucial source-sink area, playing a fundamental role in connectivity, propagule dissemination, local retention and non-local retention.  We recommend designating this area as a no-take zone to preserve its critical role. Additionally, our study identifies seasonal and El Niño Southern Oscillation (ENSO) variability in the central population (35 to 28°S). We suggest management measures that can adapt to both inter and intra-annual variability, thereby addressing the dynamic nature of environmental conditions. Finally, through the delineation of management units based on population connectivity, we identify key source areas within each unit that warrant protection. These findings are essential for informing kelp conservation strategies, underscoring the need to consider regional and temporal environmental factors through an adaptive management approach. Data sources acknowledgment: Thompson-Saud et al 2024 This dataset consist of: One .zip file containing: 14 CSV files containing the output of changes in network measures across different seasons and ENSO conditions 2 R files providing statistical analyses for the network measures Software/equipment used to manipulate/analyse the data: ArcGIS and R to process the network outputs and to run the statistical models&rft.creator=Thompson Saud, Gabriela &rft.creator=Grech, Alana &rft.date=2025&rft.coverage=278.479247,-43.452919 278.479247,-10.660608 290.429078,-10.660608 290.429078,-43.452919 278.479247,-43.452919&rft.coverage=Chile&rft.coverage=Peru&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=Macrocystis pyrifera&rft_subject=Giant kelp&rft_subject=Marine connectivity&rft_subject=Humboldt Current System&rft_subject=ENSO (El Niño-Southern Oscillation)&rft_subject=Management&rft_subject=Conservation&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=EARTH SCIENCES&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Environmental management&rft_subject=Oceanic processes (excl. in the Antarctic and Southern Ocean)&rft_subject=Marine systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data
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Background: Comprehending Macrocystis pyrifera connectivity in the Southeast Pacific region assumes a pivotal role in its management. A comprehensive understanding of this fundamental aspect of population dynamics is imperative for the identification and safeguarding of key areas fostering connectivity. Despite its importance in conservation efforts, the connectivity patterns of giant kelp in the Southeast Pacific remain inadequately understood. 
Objective: This study aims to evaluate the connectivity of M. pyrifera in the Southeast Pacific, with a specific focus on the influence of environmental variables and their implications for management.  

Results: Employing network analysis, we discovered that the southern population (36 to 43°S) serves as a crucial source-sink area, playing a fundamental role in connectivity, propagule dissemination, local retention and non-local retention.  We recommend designating this area as a no-take zone to preserve its critical role. Additionally, our study identifies seasonal and El Niño Southern Oscillation (ENSO) variability in the central population (35 to 28°S). We suggest management measures that can adapt to both inter and intra-annual variability, thereby addressing the dynamic nature of environmental conditions. Finally, through the delineation of management units based on population connectivity, we identify key source areas within each unit that warrant protection. These findings are essential for informing kelp conservation strategies, underscoring the need to consider regional and temporal environmental factors through an adaptive management approach.

Data sources acknowledgment: Thompson-Saud et al 2024

This dataset consist of: One .zip file containing:

  • 14 CSV files containing the output of changes in network measures across different seasons and ENSO conditions
  • 2 R files providing statistical analyses for the network measures

Software/equipment used to manipulate/analyse the data: ArcGIS and R to process the network outputs and to run the statistical models

Created: 2025-04-14

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180,-43.45292 180,-10.66061

180,-27.0567635

text: Chile

text: Peru

Subjects
Conservation | Conservation and Biodiversity | Earth Sciences | ENSO (El Niño-Southern Oscillation) | Environmental Management | Environmental Sciences | Environmental Management | Environmental Management | Giant kelp | Humboldt Current System | Macrocystis pyrifera | Management | Marine connectivity | Marine Systems and Management | Oceanic Processes (Excl. in the Antarctic and Southern Ocean) | Oceanography | Physical Oceanography |

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Identifiers
  • DOI : 10.25903/HYBJ-4D19
  • Local : researchdata.jcu.edu.au//published/3d7425c00c2511ef9cdb556d1c39e52c
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