BioLake: bioclimatic predictors for aquatic invasive species

Study presents new set of bioclimatic layers specific to lake temperatures, assessing their performance in predicting aquatic invasions in the US

GBIF-mediated data resources used : Occurrences of 73 aquatic species
Pontederia crassipes
Water-hyacinth - Pontederia crassipes Mart. - observed in San Benito, TX, USA by Michael Orgill (CC BY-NC 4.0)

Researchers and policymakers seeking to assess species' invasion risk often rely on modelling fundamental ecological niches based on climatic variables in the species native range. For freshwater species, however, this has been less successful, potentially due to the lack of climatic layers specific to lake temperatures.

In this publication, researchers developed a new set of lake-specific bioclimatic layers—BioLake—using global estimates from a recent physics-based climate model estimating hourly values of temperature in several strata from 1950 to the present.

Using GBIF-mediated records of 73 current US plant and animal invaders that occur outside North America, the authors tested modelling predictions, calculating scores separately for lake (BioLake) and air (BioClim) temperature-based layers, respectively. They included consistent precipitation layers in both assessments.

Both sets of layers produced models scoring higher than a null model, indicating the predictive power of the methods. The models based on BioClim-layers, however, did yield higher climatic suitability scores than BioLake-layers in known sites of invasion.

Providing a starting point for aquatic invasive species distribution modelling and risk assessment, the study suggests that finer scale lake and river temperature data may improve predictions, and also highlights the need to consider other biotic and human factors as well.

Burner RC, Daniel WM, Engelstad PS, Churchill CJ, Erickson RA. BioLake: A first assessment of lake temperature‐derived bioclimatic predictors for aquatic invasive species. Ecosphere [Internet]. 2023 Jul;14(7). Available from: https://doi.org/10.1002/ecs2.4616