<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Karachle PK</submitter><funding>NRSF 2017-2020</funding><pagination>1625</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9687294</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(11)</volume><pubmed_abstract>The Mediterranean Sea (MED) is prone to species' introductions, induced by human activities and/or climate change. Recent studies focus on the biological traits that result in such introductions, yet on a single-area-type approach. Here, we used, analyzed, and compared biological traits derived from FishBase for MED, non-indigenous (NIS) and neonative (NEO) in the Mediterranean, and adjacent Atlantic (ATL) and Red Sea (RS) species. A quantitative trait-based analysis was performed using random forest to determine the importance of traits in the successful establishment in the Mediterranean. MED fishes were mainly demersal, slow growing and small-medium sized, preferring intermediate temperatures. Conversely, ATL were mainly deep-dwelling species, preferring low temperatures. RS and NIS were predominantly reef-associated, thermophilus, and stenothermic. NEO species were stenothermic with preference to intermediate-high temperatures. Omnivores with preference to animals was the most common trophic group among regions. MED species exhibited higher phylogenetic uniqueness (PD&lt;sub>50&lt;/sub>) compared to RS and NIS, indicating that they have long ancestral branches and few descendants. Preferred temperature, habitat type preference and maximum reported length (L&lt;sub>max&lt;/sub>) and infinite length (L&lt;sub>inf&lt;/sub>) were the most important predictors in the establishment process. Overall, the results presented here could serve as a baseline for future research, especially by using more refined and/or additional biological trail estimates.</pubmed_abstract><journal>Biology</journal><pubmed_title>Can Biological Traits Serve as Predictors for Fishes' Introductions, Establishment, and Interactions? The Mediterranean Sea as a Case Study.</pubmed_title><pmcid>PMC9687294</pmcid><funding_grant_id>MIS: 5049511</funding_grant_id><pubmed_authors>Pantazi M</pubmed_authors><pubmed_authors>Zenetos A</pubmed_authors><pubmed_authors>Karachle PK</pubmed_authors><pubmed_authors>Stergiou KI</pubmed_authors><pubmed_authors>Oikonomou A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Can Biological Traits Serve as Predictors for Fishes' Introductions, Establishment, and Interactions? The Mediterranean Sea as a Case Study.</name><description>The Mediterranean Sea (MED) is prone to species' introductions, induced by human activities and/or climate change. Recent studies focus on the biological traits that result in such introductions, yet on a single-area-type approach. Here, we used, analyzed, and compared biological traits derived from FishBase for MED, non-indigenous (NIS) and neonative (NEO) in the Mediterranean, and adjacent Atlantic (ATL) and Red Sea (RS) species. A quantitative trait-based analysis was performed using random forest to determine the importance of traits in the successful establishment in the Mediterranean. MED fishes were mainly demersal, slow growing and small-medium sized, preferring intermediate temperatures. Conversely, ATL were mainly deep-dwelling species, preferring low temperatures. RS and NIS were predominantly reef-associated, thermophilus, and stenothermic. NEO species were stenothermic with preference to intermediate-high temperatures. Omnivores with preference to animals was the most common trophic group among regions. MED species exhibited higher phylogenetic uniqueness (PD&lt;sub>50&lt;/sub>) compared to RS and NIS, indicating that they have long ancestral branches and few descendants. Preferred temperature, habitat type preference and maximum reported length (L&lt;sub>max&lt;/sub>) and infinite length (L&lt;sub>inf&lt;/sub>) were the most important predictors in the establishment process. Overall, the results presented here could serve as a baseline for future research, especially by using more refined and/or additional biological trail estimates.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2024-11-20T03:56:35.039Z</modification><creation>2024-11-20T03:56:35.039Z</creation></dates><accession>S-EPMC9687294</accession><cross_references><pubmed>36358326</pubmed><doi>10.3390/biology11111625</doi></cross_references></HashMap>