In situ adaptation and ecological release facilitate the occupied niche expansion of a non‐native Madagascan day gecko in Florida

Fieldsend, Thomas W.; Dubos, Nicolas; Krysko, Kenneth L.; Raxworthy, Christopher J.; Malone, Sparkle L.

doi:10.1002/ece3.7749

Cited by 10 publications

(9 citation statements)

References 71 publications

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“…Recent assessments of the climatic niche of P. grandis revealed an important dissimilarity between the climate of its native range and the invaded areas of Florida (Fieldsend et al 2021a). This suggests a high potential for either thermal plasticity or adaptation to new environments (Card et al 2018; Lapwong et al 2021), or underlies that the species’ native distribution is strongly limited by biotic interactions (predation and competition; e.g., competition with P. kochi ; Fieldsend et al 2021a). This is consistent with findings on Hemidactylus frenatus and Anolis sagrei which were able to spread in areas colder than their native range (Angetter et al 2011; Lapwong et al 2021).…”

Section: Discussionmentioning

confidence: 99%

“…The establishment of both species in Florida may be surprising given the low temperatures occasionally occurring during winter compared to northern Madagascar. Recent assessments of the climatic niche of P. grandis revealed an important dissimilarity between the climate of its native range and the invaded areas of Florida (Fieldsend et al 2021a). This suggests a high potential for either thermal plasticity or adaptation to new environments (Card et al 2018; Lapwong et al 2021), or underlies that the species’ native distribution is strongly limited by biotic interactions (predation and competition; e.g., competition with P. kochi ; Fieldsend et al 2021a).…”

Section: Discussionmentioning

confidence: 99%

“…Both P. grandis and P. laticauda are found in a variety of habitat types, including primary forests, highly degraded forests, orchards, and urbanised habitats (D’Cruze et al 2009; D’Cruze and Kumar 2011; Dubos et al 2014; Blumgart et al 2017). We thus assume that habitat variables represent poor predictors of their environment, and that the species’ distribution may be better predicted by climate variables (e.g., Fieldsend et al 2021a). Our analysis includes socio-economic factors such as proximity to roads, ports and airports, which we interpret as factors of spread or potential entry points.…”

Section: Methodsmentioning

confidence: 99%

“…We retrieved occurrence data from the literature and opportunistic observations, both from native and non-native ranges (Glaw and Vences 2007; Raxworthy et al 2007; Pearson and Raxworthy 2009; Dubos 2013; Buckland et al 2014; Dubos et al 2014; Fieldsend and Krysko 2019; Fieldsend et al 2021a; Fieldsend et al 2021c; Porcel et al 2021). In total, we obtained 338 unique occurrence records for P. grandis and 113 for P. laticauda .…”

Section: Methodsmentioning

confidence: 99%

“…Their co-occurrence with native Phelsuma species has raised concerns regarding the long-term persistence of P. lineata, P. serraticauda, P. inexpectata, P. borbonica, P. cepediana, P. guimbeaui, P. ornata , and P. rosagularis (Andreone et al 2003; Glaw and Vences 2007; D’Cruze et al 2009; D’Cruze and Kumar 2011; Blumgart et al 2017; Porcel et al 2021). Both the IAS considered here are commonly found in urbanised areas, on ornamental plants and in orchards, as well as primary rainforests, reflecting a large niche flexibility that may help to explain successful establishments (Fieldsend et al 2021a). This illustrates the need to characterise their climatic niche in order to identify potential areas at risk of invasion at the global scale.…”

Section: Introductionmentioning

confidence: 99%

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Choice of climate data influences current and future global invasion risks for twoPhelsumageckos

Dubos

Fieldsend

Roesch

et al. 2022

Preprint

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Invasion risks may be influenced either negatively or positively by climate change, depending on the species. These can be predicted with species distribution models, but projections can be strongly affected by input environmental data (climate data source, Global Circulation Models and Shared Socio-economic Pathways SSP). We modelled the distribution of Phelsuma grandis and P. laticauda, two Malagasy reptiles that are spreading globally. We accounted for drivers of spread and establishment using socio-economic factors (e.g., distance from ports) and two climate data sources, i.e., Climatologies at High Resolution for the Earth's and Land Surface Areas (CHELSA) and Worldclim. We further quantified the degree of agreement in invasion risk models that utilised CHELSA and Worldclim data for current and future conditions. Most areas identified as highly exposed to invasion risks were consistently identified (e.g. in Caribbean and Pacific Islands). However, projected risks differed locally. We also found notable differences in quantitative invasion risk (3% difference in suitability scores for P. laticauda and up to 14% for P. grandis) under current conditions. Despite both species native distributions overlap substantially, climate change will drive opposite responses on invasion risks by 2070 (decrease for P. grandis, increase for P. laticauda). Overall, projections of future invasion risks were the most affected by climate data source, followed by SSP. Our results highlight that assessments of current and future invasion risks are sensitive to the climate data source, especially in Islands. We stress the need to account for multiple climatologies when assessing invasion risks.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Choice of climate data influences current and future global invasion risks for twoPhelsumageckos

Dubos

Fieldsend

Roesch

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Choice of climate data influences predictions for current and future global invasion risks for two Phelsuma geckos

Dubos

Fieldsend

Roesch³

et al. 2023

Biol Invasions

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Invasion risks may be influenced either negatively or positively by climate change, depending on the species. These can be predicted with species distribution models, but projections can be strongly affected by the source of the environmental data (climate data source, Global Circulation Models GCM and Shared Socio-economic Pathways SSP). We modelled the distribution of Phelsuma grandis and P. laticauda, two Malagasy reptiles that are spreading globally. We accounted for drivers of spread and establishment using socio-economic factors (e.g., distance from ports) and two climate data sources, i.e., Climatologies at High Resolution for the Earth’s and Land Surface Areas (CHELSA) and Worldclim. We further quantified the degree of agreement in invasion risk models that utilised CHELSA and Worldclim data for current and future conditions. Most areas identified as highly exposed to invasion risks were consistently identified (e.g. in Caribbean and Pacific Islands). However, projected risks differed locally. We also found notable differences in quantitative invasion risk (3% difference in suitability scores for P. laticauda and up to 14% for P. grandis) under current conditions. Despite both species native distributions overlapping substantially, climate change will drive opposite responses on invasion risks by 2070 (decrease for P. grandis, increase for P. laticauda). Overall, projections of future invasion risks were the most affected by climate data source, followed by SSP. Our results highlight that assessments of current and future invasion risks are sensitive to the climate data source, especially in islands. We stress the need to account for multiple climatologies when assessing invasion risks.

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Analysis of Morphological Change during a Co-invading Assemblage of Lizards in the Hawaiian Islands

Phillips,

Hagey,

Hagemann

et al. 2024

Evol Biol

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Phenotypic change plays diverse roles in species’ colonization, but most invasion studies target single species. To compare ecomorphological changes among co-invading species with overlapping niches, we examined three lizards on the island of O‘ahu (Anolis carolinensis, A. sagrei, Phelsuma laticauda). Using specimens from three decades of unfolding invasions obtained through museum collections and contemporary field work, we quantified shifts in three traits: snout vent length (SVL), forelimb-, and hindlimb-length (limb lengths relative to SVL). We hypothesized that competition among these three species has led to ecological shifts that will be detectable through morphological change. Overall, we found that unique patterns of phenotypic change were both species-specific and sex-specific within species: (1) male A. sagrei, female A. carolinensis, and male P. laticauda increased in SVL and (2) relative hindlimb length increased in female A. carolinensis since the 1980s. The observed changes involve traits that may be consequential to invasion dynamics. This study illustrates how museum- and field-based research can be integrated to document nuanced temporal patterns in the phenotypes of co-invading species that share similar niches in native ranges, raising questions about the underlying process(es) driving species- and sex-specific change in co-invaded systems.

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In situ adaptation and ecological release facilitate the occupied niche expansion of a non‐native Madagascan day gecko in Florida

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 10 publications

References 71 publications

Choice of climate data influences current and future global invasion risks for twoPhelsumageckos

Choice of climate data influences current and future global invasion risks for twoPhelsumageckos

Choice of climate data influences predictions for current and future global invasion risks for two Phelsuma geckos

Analysis of Morphological Change during a Co-invading Assemblage of Lizards in the Hawaiian Islands

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