DOI: 10.5061/dryad.w3r228145
title: Data from: Co-occurrence between size groups within populations decreases with maximum body size across marine fish populations

description: The degree of co-occurrence between size groups within a population
 influences key biological processes, such as connectivity and competition
 within a population. However, the links between co-occurrence between size
 group pairs, abundance, and maximum body size among populations remain
 largely unclear. In this study, we analyzed spatial time series data from
 1982 to 2019 to investigate the co-occurrence between size groups of 54
 marine fish populations across three regions (North Sea, Scottish West
 Coast, and eastern Bering Sea). We show that for all the regions, the
 probability of co-occurrence for most size group pairs decreased with
 increasing maximum body size across populations. This suggests that the
 size group pairs within larger-bodied populations tend to segregate more
 in space, whereas those within smaller-bodied populations tend to mix and
 aggregate. The co-occurrence for most size group pairs within populations
 did not change with abundance, indicating that the tendency of the size
 groups to aggregate or segregate was mostly insensitive to abundance.
 Moreover, across populations and regions, the co-occurrence-abundance
 relationship of most size group pairs did not change with the maximum body
 size, except five size group pairs in the North Sea, suggesting that
 compared to smaller-bodied populations, these size group pairs within
 larger-bodied populations in this region tend to aggregate more with
 increasing abundance and segregate more with decreasing abundance. These
 findings provide new insights into the spatial dynamics of size groups,
 offering valuable implications for understanding population spatial
 structure and connectivity in marine ecosystems.
description: This repository contains all the data to reproduce all the results of the
 paper 'Co-occurrence between size groups within populations decreases
 with maximum body size across marine fish populations'. ##### The
 data files include: 1. The CPUE data of North Sea, Scottish West Coast,
 and Eastern Bering Sea, as ns_raw_formatted.csv, swc_raw_formatted.csv,
 and ebs_raw_formatted.csv, respectively. 2.
 \[a_common_name_all_stocks.csv] includes the Latin name and common name
 for each species. Life history trait data is downloaded from: Beukhof E,
 Dencker TS, Palomares MLD et al. A trait collection of marine fish species
 from North Atlantic and Northeast Pacific continental shelf seas. 2019,
 DOI: 10.1594/PANGAEA.900866. ### Description of column names of all csv
 files: #### a_common_name_all_stocks.csv region: study region species:
 Latin name of species common_name: common of species ####
 ns_raw_formatted.csv, swc_raw_formatted.csv region: study region year:
 survey year (number) quarter: 1 (January-March), 2 (April-June), 3
 (July-September), 4 (October-December) subarea: code of the ICES survey
 rectangle of 1° longitude by 0.5° latitude species: Latin name of species
 length: body size (cm) cpue_number_per_hour: number of fish trawled per
 hour of hauling #### ebs_raw_formatted.csv region: study region year:
 survey year quarter: 0 (June-August) subarea: code for each rectangle of
 1° longitude by 0.5° latitude species: Latin name of species length: body
 size (cm) cpue_number_per_hour: number of fish trawled per hectare The
 code for the statistical analysis is openly accessible in
 [https://github.com/HsiaoHang/git_MetaOverlap](https://github.com/HsiaoHang/git_MetaOverlap).