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Data · dataset · 2022

Predicting the Risk of Exotic Plants Invasions in the Orinoco Region: Importance of Distribution Models, Climatic Niche and Functional Richness

Listed in Teesside University Research Data Repository

Try to explain the processes underlying biological invasions, changes in land use are one of the essential drivers mediating the colonization of exotic species at the landscape level.

Description

We used potential species distribution models developed in MaxEnt and a database of nine functional traits associated with invasion success for 18 exotic species with a high risk of establishment and difficulty of control in the Orinoco region.

We found that 67% of the species differed from the centroid in the climatic niche when comparing native and invaded localities. Overall, the native distribution localities showed a more restricted dispersal in their climatic niche, and for all species, native distribution was found within the broad environmental gradients of the invaded localities. Additionally, we found high climatic suitability for all species of exotic species across all the biomes and ecosystems; however, transformed biomes showed the higher taxonomic and functional richness of exotic plant species in transformed biomes with low spatial congruency between those metrics.

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This work provides relevant inputs on early warnings on the potential risk of invasion in the Orinoco region of Colombia, but field projects are needed to dig further into underlying mechanisms of successful biological invasions.

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/s9bdytdt2f.210 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:field:410202enrichment · researchdata tees ac uktaxonomy-embedding@1.0.0title+keywords+description (76%)
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