Co-occurrence between size groups within populations decreases with maximum body size across marine fish populations

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 ..., , 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:...,