What we're reading: August 2018

One of several things running slightly behind schedule as we prepare for the GBIF Governing Board—hopefully worth the wait (it usually is). Consider it some light reading for those of you travelling to Kilkenny in coming days…

Immediate highlights include papers from familiar lead authors: Quentin Groom from the Botanic Garden Meise collaborates frequently with the Belgian Biodiversity Platform and the GBIF Secretariat—and others in the network will probably see him someday soon through our capacity enhancement mentoring programme.

In addition, Cairo-based researcher Abdallah M.Samy, whose numerous papers include two we’ve featured previously, adds to the body of mosquito-related research with an investigation of the geographic potential of Japanese encephalitis vectors and reservoirs in Asia and Australia.

Finally, do check out the last paper on the list (alphabeticially—no shortcuts!) from a National Geographic-funded project in the Okavango Basin—not only for its well-formed DOI citation (thanks to Pensoft) but also for its point that “GBIF proved to be an excellent source of biodiversity data for Angolan mammals.” h/t to GBIF Portugal for the latter, as their former host institution’s dataset of Bibliographic records of Angola mammals provides the majority of the data.

  • Aguilar-Rivera N, Serna-Lagunes R, Michel-Cuello C & Trujillo-Mata A (2019) Upgrading Comparative and Competitive Advantages for Ethanol Fuel Production From Agroindustrial Crops in Developing Countries: Mexico as a Case Study. Bioethanol Production from Food Crops 401-415. https://doi.org/10.1016/b978-0-12-813766-6.00020-5
  • Bhattacharyya S, Dawson DA, Hipperson H & Ishtiaq F (2018) A diet rich in C3 plants reveals the sensitivity of an alpine mammal to climate change. Molecular Ecology. https://doi.org/10.1111/mec.14842
  • Falcão de Oliveira E, Galati EAB, Oliveira AGd, Rangel EF, Carvalho BMd (2018) Ecological niche modelling and predicted geographic distribution of Lutzomyia cruzi, vector of Leishmania infantum in South America. PLoS Neglected Tropical Diseases 12(7): e0006684. https://doi.org/10.1371/journal.pntd.0006684
  • Groom QJ, Marsh CJ, Gavish Y & Kunin WE (2018) How to predict fine resolution occupancy from coarse occupancy data. Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.13078
  • Jayathilake DRM & Costello MJ (2018) A modelled global distribution of the seagrass biome. Biological Conservation 226: 120-126. https://doi.org/10.1016/j.biocon.2018.07.009
  • Joly A, Goëau H, Botella C et al. (2018) Overview of LifeCLEF 2018: A Large-Scale Evaluation of Species Identification and Recommendation Algorithms in the Era of AI. Lecture Notes in Computer Science 11018: 247-266. https://doi.org/10.1007/978-3-319-98932-7_24
  • Lortie CJ, Filazzola A, Kelsey R, Hart AK & Butterfield HS (2018) Better late than never: a synthesis of strategic land retirement and restoration in California. Ecosphere 9(8): e02367. https://doi.org/10.1002/ecs2.2367
  • Rodríguez-Merino A, García-Murillo P, Cirujano S & Fernández-Zamudio R (2018) Predicting the risk of aquatic plant invasions in Europe: How climatic factors and anthropogenic activity influence potential species distributions. Journal for Nature Conservation 45: 58-71. https://doi.org/10.1016/j.jnc.2018.08.007
  • Samy AM, Alkishe AA, Thomas S, Wang L & Zhang W (2018) Mapping the potential distributions of etiological agent, vectors, and reservoirs of Japanese Encephalitis in Asia and Australia. Acta Tropica 188: 108-117. https://doi.org/10.1016/j.actatropica.2018.08.014
  • Syfert MM, Brummitt NA, Coomes DA, Bystriakova N & Smith MJ (2018) Inferring diversity patterns along an elevation gradient from stacked SDMs: A case study on Mesoamerican ferns. Global Ecology and Conservation. https://doi.org/10.1016/j.gecco.2018.e00433
  • Taylor PJ, Neef G, Keith M, Weier S, Monadjem A & Parker DM (2018) Tapping into technology and the biodiversity informatics revolution: updated terrestrial mammal list of Angola, with new records from the Okavango Basin. ZooKeys 779: 51-88. https://doi.org/10.3897/zookeys.778.25964
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