Ciencia habilitada por datos de especímenes

Rock, B. M., & Daru, B. H. (2021). Impediments to Understanding Seagrasses’ Response to Global Change. Frontiers in Marine Science, 8. doi:10.3389/fmars.2021.608867 https://doi.org/10.3389/fmars.2021.608867

Uncertainties from sampling biases present challenges to ecologists and evolutionary biologists in understanding species sensitivity to anthropogenic climate change. Here, we synthesize possible impediments that can constrain research to assess present and future seagrass response from climate chang…

Martin, D., Aguado, M. T., Fernández Álamo, M.-A., Britayev, T. A., Böggemann, M., Capa, M., … Teixeira, M. A. L. (2021). On the Diversity of Phyllodocida (Annelida: Errantia), with a Focus on Glyceridae, Goniadidae, Nephtyidae, Polynoidae, Sphaerodoridae, Syllidae, and the Holoplanktonic Families. Diversity, 13(3), 131. doi:10.3390/d13030131 https://doi.org/10.3390/d13030131

Phyllodocida is a clade of errantiate annelids characterized by having ventral sensory palps, anterior enlarged cirri, axial muscular proboscis, compound chaetae (if present) with a single ligament, and of lacking dorsolateral folds. Members of most families date back to the Carboniferous, although …

Jayathilake, D. R. M., & Costello, M. J. (2020). A modelled global distribution of the kelp biome. Biological Conservation, 252, 108815. doi:10.1016/j.biocon.2020.108815 https://doi.org/10.1016/j.biocon.2020.108815

Kelp, seaweeds of the order Laminariales, are of ecological and conservation importance because they form undersea forest habitat for many varieties of fauna and flora including mammals, and commercial fish species. In the absence of a world map of the kelp biome, we predicted its potential distribu…

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…

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…

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…

Mejía-Falla, P. A., Castro, E., Bolaños, N., Caldas, J. P., Ballesteros, C., Bent-Hooker, H., … Navia, A. F. (2020). Richness and distribution patterns of elasmobranchs in the San Andres, Providencia and Santa Catalina Archipelago: is this area a hotspot of these species in the greater Caribbean? Environmental Biology of Fishes. doi:10.1007/s10641-020-01029-9 https://doi.org/10.1007/s10641-020-01029-9

Hotspots identification can be used to establish protected or priority areas for conservation at different geographic scales. We aimed to determine if San Andres, Providencia and Santa Catalina Archipelago could be considered as a hotspot of elasmobranch diversity within the Greater Caribbean. For t…

Chollett, I., & Robertson, D. R. (2020). Comparing biodiversity databases: Greater Caribbean reef fishes as a case study. Fish and Fisheries. doi:10.1111/faf.12497 https://doi.org/10.1111/faf.12497

There is a widespread need for reliable biodiversity databases for science and conservation. Among the many public databases available, we lack guidance as to how their data quality varies. Here, we compare species distribution data for a well known regional reef fish fauna extracted from five globa…