Science Enabled

Jahanshiri, E., Mohd Nizar, N. M., Tengku Mohd Suhairi, T. A. S., Gregory, P. J., Mohamed, A. S., Wimalasiri, E. M., & Azam-Ali, S. N. (2020). A Land Evaluation Framework for Agricultural Diversification. Sustainability, 12(8), 3110. doi:10.3390/su12083110 https://doi.org/10.3390/su12083110

Shortlisting ecologically adaptable plant species can be a starting point for agricultural diversification projects. We propose a rapid assessment framework based on an ecological model that can accelerate the evaluation of options for sustainable crop diversification. To test the new model, expert-…

De Siracusa, P. C., Gadelha, L. M. R., & Ziviani, A. (2020). New perspectives on analysing data from biological collections based on social network analytics. Scientific Reports, 10(1). doi:10.1038/s41598-020-60134-y https://doi.org/10.1038/s41598-020-60134-y

Biological collections have been historically regarded as fundamental sources of scientific information on biodiversity. They are commonly associated with a variety of biases, which must be characterized and mitigated before data can be consumed. In this work, we are motivated by taxonomic and colle…

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…

Muñoz Mazón, M., Klanderud, K., Finegan, B., Veintimilla, D., Bermeo, D., Murrieta, E., … Sheil, D. (2019). Disturbance and the elevation ranges of woody plant species in the mountains of Costa Rica. Ecology and Evolution. doi:10.1002/ece3.5870 https://doi.org/10.1002/ece3.5870

Aim: To understand how disturbance—here defined as a transient reduction in competition—can shape plant distributions along elevation gradients. Theory suggests that disturbance may increase elevation ranges, especially at the lower range limits, through reduced competitive exclusion. Nevertheless, …

Henareh Khalyani, A., Gould, W. A., Falkowski, M. J., Muscarella, R., Uriarte, M., & Yousef, F. (2019). Climate change increases potential plant species richness on Puerto Rican uplands. Climatic Change. doi:10.1007/s10584-019-02491-w https://doi.org/10.1007/s10584-019-02491-w

Modeling climate change effects on species and communities is critical especially in isolated islands. We analyzed the potential effects of climate change on 200 plant species in Puerto Rico under two emission scenarios and in four periods over the twenty-first century. Our approach was based on ens…

Karger, D. N., Kessler, M., Conrad, O., Weigelt, P., Kreft, H., König, C., & Zimmermann, N. E. (2019). Why tree lines are lower on islands-Climatic and biogeographic effects hold the answer. Global Ecology and Biogeography. doi:10.1111/geb.12897 https://doi.org/10.1111/geb.12897

Aim: To determine the global position of tree line isotherms, compare it with observed local tree limits on islands and mainlands, and disentangle the potential drivers of a difference between tree line and local tree limit. Location: Global. Time period: 1979–2013. Major taxa studied: Trees. Method…

Peterson, A. T., Asase, A., Canhos, D., de Souza, S., & Wieczorek, J. (2018). Data Leakage and Loss in Biodiversity Informatics. Biodiversity Data Journal, 6. doi:10.3897/bdj.6.e26826 https://doi.org/10.3897/bdj.6.e26826

The field of biodiversity informatics is in a massive, “grow-out” phase of creating and enabling large-scale biodiversity data resources. Because perhaps 90% of existing biodiversity data nonetheless remains unavailable for science and policy applications, the question arises as to how these existin…

Holloway, P. (2018). Simulating Movement-Related Resource Dynamics to Improve Species Distribution Models: A Case Study with Oilbirds in Northern South America. The Professional Geographer, 70(4), 528–540. doi:10.1080/00330124.2018.1479972 https://doi.org/10.1080/00330124.2018.1479972

A better understanding of the current and future distributions of organisms is a critical facet of biodiversity conservation, and species distribution models (SDMs) are an important framework for achieving this. Despite the potential of SDMs to address an array of biogeography questions, they are su…

Crespo-Mendes, N., Laurent, A., & Hauschild, M. Z. (2018). Effect factors of terrestrial acidification in Brazil for use in Life Cycle Impact Assessment. The International Journal of Life Cycle Assessment. doi:10.1007/s11367-018-1560-7 https://doi.org/10.1007/s11367-018-1560-7

Purpose:In Life Cycle Impact Assessment, atmospheric fate factors, soil exposure factors, and effect factors are combined to characterize potential impacts of acidifying substances in terrestrial environments. Due to the low availability of global data sets, effect factors (EFs) have been reported a…

Crespo-Mendes, N., Laurent, A., Bruun, H. H., & Hauschild, M. Z. (2019). Relationships between plant species richness and soil pH at the level of biome and ecoregion in Brazil. Ecological Indicators, 98, 266–275. doi:10.1016/j.ecolind.2018.11.004 https://doi.org/10.1016/j.ecolind.2018.11.004

Soil pH has been used to indicate how changes in soil acidity can influence species loss. The correlation between soil pH and plant species richness has mainly been studied in North America and Europe, while there is a lack of studies exploring Tropical floras. Here, our aim was therefore to investi…