Improving prediction for potential spawning areas from a two-step perspective: A comparison of multi-model approaches for sparse egg distribution-Reference-Cited by-同舟云学术

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Improving prediction for potential spawning areas from a two-step perspective: A comparison of multi-model approaches for sparse egg distribution

Published:2024-02 Issue: Volume:197 Page:102460
ISSN:1385-1101
Container-title:Journal of Sea Research
language:en
Short-container-title:Journal of Sea Research

Author:

Liu Zunlei,Jin Yan,Yang Linlin,Yuan Xingwei,Yan Liping,Zhang Yi,Zhang Hui,Xu Min,Song Xiaojing,Tang Jianhua,Zhou Yongdong,Hu Fen,Cheng Jiahua

Funder

Chinese Academy of Fishery Sciences East China Sea Fishery Research Institute

Publisher

Elsevier BV

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Reference116 articles.

1. Bayesian model selection techniques as decision support for shaping a statistical analysis plan of a clinical trial: an example from a vertigo phase III study with longitudinal count data as primary endpoint;Adrion;BMC Med. Res. Methodol.,2012

2. Disappearance of a Nassau grouper spawning aggregation off the southern Mexican Caribbean coast;Aguilar-Perera;Mar. Ecol. Prog. Ser.,2006

3. Global biogeography of marine dispersal potential;Álvarez-Noriega;Nat. Ecol. Evol.,2020

4. Ensemble forecasting of species distributions;Araújo;Trends Ecol. Evol.,2007

5. Spawning aggregations act as a bottleneck influencing climate change impacts on a critically endangered reef fish;Asch;Divers. Distrib.,2018

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1. Spatiotemporal Distribution and Dispersal Pattern of Early Life Stages of the Small Yellow Croaker (Larimichthys Polyactis) in the Southern Yellow Sea;Diversity;2024-08-31

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