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

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 recruitment pat...

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Veröffentlicht in:	Water resources research 2024-05, Vol.60 (5), p.n/a
Hauptverfasser:	Shi, Wei, Boegman, Leon, Shan, Shiliang, Zhao, Yingming, Ackerman, Josef D., Amidon, Zachary, Jabbari, Aidin, Roseman, Edward
Format:	Artikel
Sprache:	eng
Schlagworte:	backtracking model Connectivity Coregonus clupeaformis Critical components dispersal kernel Distance Fish larvae Hatching Hydrodynamic models hydrologic models Insects Lake Erie Lakes Larvae larval development larval recruitment kernel local retention Particle tracking Probability density function Probability density functions probability distribution Recruitment Recruitment (fisheries) Releasing Retention Seed dispersal self‐recruitment Spawning Tracking water
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