Length-based spatially explicit species distribution model

Length-based spatially explicit species distribution model | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 13 February 2025 V1 Latest version Share on Length-based spatially explicit species distribution model Authors : Iosu Paradinas 0000-0001-7072-2875 [email protected] and Mario Figueira-Pereira 0009-0004-4627-0572 Authors Info & Affiliations https://doi.org/10.22541/au.173946297.77881647/v1 320 views 142 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Species distribution models (SDMs) are essential tools for understanding the spatial dynamics of fish populations. Traditionally, SDMs estimate species abundance, biomass, or occurrence, either for entire populations or specific life stages, such as juveniles and adults. This study introduces a novel length-based spatially explicit SDM designed to estimate length frequency distributions (LFD) in continuous space. By integrating covariate-length and space-length correlations, the model provides a powerful tool for understanding spatial population structure dynamics. We describe the generalised length-based spatially explicit SDM and validate the model through simulation and apply it to a European hake ({\it Merluccius merluccius}, Merlucciidae) case study in the northeastern Atlantic, demonstrating its potential for real-world applications. We follow by discussing the utility of model-based LFD estimates, particularly in the fields of stock assessment, spatial fisheries management, climate change and ecosystem based fisheries management. Finally, we propose a number of model extensions departing from the proposed length-based SDM that could profoundly enhance our understanding of population dynamics and refine future fisheries management models. Supplementary Material File (spatial_modelling_of_lfds_corp.pdf) Download 5.40 MB Information & Authors Information Version history V1 Version 1 13 February 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords biological parameters fisheries management length frequency distribution length-based model population structure spatial modelling Authors Affiliations Iosu Paradinas 0000-0001-7072-2875 [email protected] AZTI View all articles by this author Mario Figueira-Pereira 0009-0004-4627-0572 Universitat de València View all articles by this author Metrics & Citations Metrics Article Usage 320 views 142 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Iosu Paradinas, Mario Figueira-Pereira. Length-based spatially explicit species distribution model. Authorea . 13 February 2025. 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