Science Enabled

David, K. T., & Halanych, K. M. (2021). Spatial proximity between polyploids across South American frog genera. Journal of Biogeography. doi:10.1111/jbi.14067 https://doi.org/10.1111/jbi.14067

Aim: Polyploids have been theorized to occur more frequently in environments that are subjected to severe conditions or sudden disruptions. Here we test the expectation that polyploid taxa occur more frequently in extreme or disrupted environments than their diploid counterparts, whether due to inc…

Le Sage, E. H., Duncan, S. I., Seaborn, T., Cundiff, J., Rissler, L. J., & Crespi, E. J. (2021). Ecological adaptation drives wood frog population divergence in life history traits. Heredity. doi:10.1038/s41437-021-00409-w https://doi.org/10.1038/s41437-021-00409-w

Phenotypic variation among populations is thought to be generated from spatial heterogeneity in environments that exert selection pressures that overcome the effects of gene flow and genetic drift. Here, we tested for evidence of isolation by distance or by ecology (i.e., ecological adaptation) to g…

Andersen, D., Borzée, A., & Jang, Y. (2021). Predicting global climatic suitability for the four most invasive anuran species using ecological niche factor analysis. Global Ecology and Conservation, 25, e01433. doi:10.1016/j.gecco.2020.e01433 https://doi.org/10.1016/j.gecco.2020.e01433

Invasive species have a massive impact on their environment and predicting geographical zones at risk of invasion is paramount to the control of further invasions. Invasive anurans are particularly detrimental to native amphibian species, other vertebrates, and even aquaculture through competition, …

Farooq, H., Azevedo, J. A. R., Soares, A., Antonelli, A., & Faurby, S. (2020). Mapping Africa’s biodiversity: More of the same is just not good enough. Systematic Biology. doi:10.1093/sysbio/syaa090 https://doi.org/10.1093/sysbio/syaa090

Species distribution data are fundamental to the understanding of biodiversity patterns and processes. Yet, such data are strongly affected by sampling biases, mostly related to site accessibility. The understanding of these biases is therefore crucial in systematics, biogeography and conservation. …

Schickele, A., Goberville, E., Leroy, B., Beaugrand, G., Hattab, T., Francour, P., & Raybaud, V. (2020). European small pelagic fish distribution under global change scenarios. Fish and Fisheries. doi:10.1111/faf.12515 https://doi.org/10.1111/faf.12515

The spectre of increasing impacts on exploited fish stocks in consequence of warmer climate conditions has become a major concern over the last decades. It is now imperative to improve the way we project the effects of future climate warming on fisheries. While estimating future climate‐induced chan…

Seaborn, T., Goldberg, C. S., & Crespi, E. J. (2020). Drivers of distributions and niches of North American cold‐adapted amphibians: evaluating both climate and land use. Ecological Applications. doi:10.1002/eap.2236 https://doi.org/10.1002/eap.2236

Species distribution estimates are often used to understand the niche of a species; however, these are often based solely on climatic predictors. When the influences of biotic factors are ignored, erroneous inferences about range and niche may be made. We aimed to integrate climate data with a uniqu…

Zizka, A., Antunes Carvalho, F., Calvente, A., Rocio Baez-Lizarazo, M., Cabral, A., Coelho, J. F. R., … Antonelli, A. (2020). No one-size-fits-all solution to clean GBIF. PeerJ, 8, e9916. doi:10.7717/peerj.9916 https://doi.org/10.7717/peerj.9916

Species occurrence records provide the basis for many biodiversity studies. They derive from georeferenced specimens deposited in natural history collections and visual observations, such as those obtained through various mobile applications. Given the rapid increase in availability of such data, th…

Oegelund Nielsen, R., da Silva, R., Juergens, J., Staerk, J., Lindholm Sørensen, L., Jackson, J., … Conde, D. A. (2020). Standardized data to support conservation prioritization for sharks and batoids (Elasmobranchii). Data in Brief, 33, 106337. doi:10.1016/j.dib.2020.106337 https://doi.org/10.1016/j.dib.2020.106337

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Li, X., Li, B., Wang, G., Zhan, X., & Holyoak, M. (2020). Deeply digging the interaction effect in multiple linear regressions using a fractional-power interaction term. MethodsX, 7, 101067. doi:10.1016/j.mex.2020.101067 https://doi.org/10.1016/j.mex.2020.101067

In multiple regression Y ~ β0 + β1X1 + β2X2 + β3X1 X2 + ɛ., the interaction term is quantified as the product of X1 and X2. We developed fractional-power interaction regression (FPIR), using βX1M X2N as the interaction term. The rationale of FPIR is that the slopes of Y-X1 regression along the X2 gr…

Freitas, T. M. da S., Stropp, J., Calegari, B. B., Calatayud, J., De Marco, P., Montag, L. F. de A., & Hortal, J. (2020). Quantifying shortfalls in the knowledge on Neotropical Auchenipteridae fishes. Fish and Fisheries. doi:10.1111/faf.12507 https://doi.org/10.1111/faf.12507

The Neotropics harbour the greatest diversity of freshwater fish on Earth. Despite recent advances in characterizing the fish fauna, the total number of species, distributional range, evolution and ecological traits remain uncertain. Thus, we quantify shortfalls in the knowledge of taxonomy (Linnean…