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Climatic niche shifts in 815 introduced plant species affect their predicted distributions

https://doi.org/10.1111/geb.13342
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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American trees shift their niches when invading Western Europe: evaluating invasion risks in a changing climate
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Plant invasion alters trait composition and diversity across habitats
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Very high resolution interpolated climate surfaces for global land areas
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Maximum entropy modeling of species geographic distributions
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Niche dynamics in space and time
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Economic and environmental threats of alien plant, animal, and microbe invasions
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Exotic plant invasions and the enemy release hypothesis
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Climatic niche shifts are common in introduced plants
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Most invasive species largely conserve their climatic niche
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Niche shifts during the global invasion of the Asian tiger mosquito, Aedes albopictus Skuse (Culicidae), revealed by reciprocal distribution models
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ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION
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Realized climatic niches are conserved along maximum temperatures among herpetofaunal invaders
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Rapid and repeated local adaptation to climate in an invasive plant
inferredcites →https://doi.org/10.1111/wre.12292openalex-snapshot
What are the best predictors for invasive potential of weeds? Transferability evaluations of model predictions based on diverse environmental data sets for Flaveria bidentis
inferredcites →https://doi.org/10.1126/science.1215933openalex-snapshot
Climatic Niche Shifts Are Rare Among Terrestrial Plant Invaders
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Improving Transferability of Introduced Species’ Distribution Models: New Tools to Forecast the Spread of a Highly Invasive Seaweed
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Predicting Species Invasions Using Ecological Niche Modeling: New Approaches from Bioinformatics Attack a Pressing Problem
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Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data
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Ecological niche shifts and environmental space anisotropy: a cautionary note
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maxent: An R Package for Low-memory Multinomial Logistic Regression with Support for Semi-automated Text Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Global assessment of three Rumex species reveals inconsistent climatic niche shifts across introduced ranges
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