A Larval “Recruitment Kernel” to Predict Hatching Locations and Quantify Recruitment Patterns

A Larval “Recruitment Kernel” to Predict Hatching Locations and Quantify Recruitment Patterns

Abstract Larval recruitment, a critical component of population connectivity, has been under investigated compared to larval dispersal. We developed a backward‐in‐time Lagrangian particle tracking model to predict larval hatching locations and proposed a larval recruitment kernel, to quantify recrui...

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Bibliographic Details
Main Authors: Wei Shi, Leon Boegman, Shiliang Shan, Yingming Zhao, Josef D. Ackerman, Zachary Amidon, Aidin Jabbari, Edward Roseman
Format: Article
Language:English
Published: Wiley 2024-05-01
Series:Water Resources Research
Subjects:
backtracking model
dispersal kernel
local retention
larval recruitment kernel
self‐recruitment
Online Access:https://doi.org/10.1029/2023WR036099
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https://doi.org/10.1029/2023WR036099

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