Science Enabled by Specimen Data

De Oliveira, M. H. V., Torke, B. M., & Almeida, T. E. (2021). An inventory of the ferns and lycophytes of the Lower Tapajós River Basin in the Brazilian Amazon reveals collecting biases, sampling gaps, and previously undocumented diversity. Brittonia. doi:10.1007/s12228-021-09668-7 https://doi.org/10.1007/s12228-021-09668-7

Ferns and lycophytes are an excellent group for conservation and species distribution studies because they are closely related to environmental changes. In this study, we analyzed collection gaps, sampling biases, richness distribution, and the species conservation effectiveness of protected areas i…

Urcádiz-Cázares, F. J., Cruz-Escalona, V. H., Peterson, M. S., Aguilar-Medrano, R., Marín-Enríquez, E., González-Peláez, S. S., … Ortega-Rubio, A. (2021). Linking Habitat and Associated Abiotic Conditions to Predict Fish Hotspots Distribution Areas within La Paz Bay: Evaluating Marine Conservation Areas. Diversity, 13(5), 212. doi:10.3390/d13050212 https://doi.org/10.3390/d13050212

Hotspots are priority marine or terrestrial areas with high biodiversity where delineation is essential for conservation, but equally important is their linkage to the environmental policies of the overall region. In this study, fish diversity presences were linked to abiotic conditions and differen…

Lee, C. M., Lee, D.-S., Kwon, T.-S., Athar, M., & Park, Y.-S. (2021). Predicting the Global Distribution of Solenopsis geminata (Hymenoptera: Formicidae) under Climate Change Using the MaxEnt Model. Insects, 12(3), 229. doi:10.3390/insects12030229 https://doi.org/10.3390/insects12030229

The tropical fire ant Solenopsis geminata (Hymenoptera: Formicidae) is a serious invasive species that causes a decline in agricultural production, damages infrastructure, and harms human health. This study was aimed to develop a model using the maximum entropy (MaxEnt) algorithm to predict the curr…

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. …

Ortiz, A. M. D., & Torres, J. N. V. (2020). Assessing the Impacts of Agriculture and Its Trade on Philippine Biodiversity. Land, 9(11), 403. doi:10.3390/land9110403 https://doi.org/10.3390/land9110403

Many Philippine species are at risk of extinction because of habitat loss and degradation driven by agricultural land use and land-use change. The Philippines is one of the world’s primary banana and pineapple producers. The input-intensive style of plantation agriculture for these typically exporte…

Iannella, M., D’Alessandro, P., & Biondi, M. (2019). Entomological knowledge in Madagascar by GBIF datasets: estimates on the coverage and possible biases (Insecta). Fragmenta Entomologica, 51(1), 1–10. doi:10.4081/fe.2019.329 https://doi.org/10.4081/fe.2019.329

Although Madagascar is one of the world’s most important biodiversity hotspots, the knowledge of its faunistic diversity is still incomplete, notwithstanding many field campaigns were organized since the 17th century until nowadays, leading to a huge number of vertebrate and invertebrate records. In…

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…

Liu, X., Blackburn, T. M., Song, T., Wang, X., Huang, C., & Li, Y. (2020). Animal invaders threaten protected areas worldwide. Nature Communications, 11(1). doi:10.1038/s41467-020-16719-2 https://doi.org/10.1038/s41467-020-16719-2

Protected areas are the cornerstone of biodiversity conservation. However, alien species invasion is an increasing threat to biodiversity, and the extent to which protected areas worldwide are resistant to incursions of alien species remains poorly understood. Here, we investigate establishment by 8…

Carrasco, J., Price, V., Tulloch, V., & Mills, M. (2020). Selecting priority areas for the conservation of endemic trees species and their ecosystems in Madagascar considering both conservation value and vulnerability to human pressure. Biodiversity and Conservation. doi:10.1007/s10531-020-01947-1 https://doi.org/10.1007/s10531-020-01947-1

Madagascar is one of the most biodiverse countries in Africa, due to its level of endemism and species diversity. However, the pressure of human activities threatens the last patches of natural vegetation in the country and conservation decisions are undertaken with limited data availability. In thi…

Ritter, C. D., Faurby, S., Bennett, D. J., Naka, L. N., ter Steege, H., Zizka, A., … Antonelli, A. (2019). The pitfalls of biodiversity proxies: Differences in richness patterns of birds, trees and understudied diversity across Amazonia. Scientific Reports, 9(1). doi:10.1038/s41598-019-55490-3 https://doi.org/10.1038/s41598-019-55490-3

Most knowledge on biodiversity derives from the study of charismatic macro-organisms, such as birds and trees. However, the diversity of micro-organisms constitutes the majority of all life forms on Earth. Here, we ask if the patterns of richness inferred for macro-organisms are similar for micro-or…