4 documents found, page 1 of 1
A global initiative for ecological and evolutionary hologenomics
Leonard, Aoife; Abalos, Javier; Adhola, Titus; Aguirre, Windsor; Aizpurua, Ostaizka; Ali, Shahzad; Andreone, Franco; Aubret, FabienThe Earth Hologenome Initiative (EHI) is a global collaboration to generate and analyse hologenomic data from wild animals and associated microorganisms using standardised methodologies underpinned by open and inclusive research principles. Initially focused on vertebrates, it aims to re-examine ecological and evolutionary questions by studying host–microbiota interactions from a systemic perspective.
Photography-based taxonomy is inadequate, unnecessary, and potentially harmful ...
Ceriaco, Luis M. P.; Gutierrez, Eliecer E.; Dubois, Alain; Simon Abdala, Cristian; Alqarni, Abdulaziz S.; Adler, Kraig; Adriano, Edson A.; Aescht, ErnaMade available in DSpace on 2021-06-25T12:17:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-11-23; Villanova Univ, Dept Biol, Villanova, PA 19085 USA; Museu Nacl Hist Nat & Ciencia, Lisbon, Portugal; Univ Brasilia, Dept Zool, Inst Ciencias Biol, BR-70910900 Brasilia, DF, Brazil; Smithsonian Inst, Natl Museum Nat Hist, Washington, DC 20560 USA; Sorbonne Univ, Museum Natl Hist Nat, ISYEB, Paris, France...
The mammals of Angola
Beja, Pedro; Pinto, Pedro Vaz; Veríssimo, Luís; Bersacola, Elena; Fabiano, Ezequiel; Palmeirim, Jorge M.; Monadjem, Ara; Monterroso, PedroScientific investigations on the mammals of Angola started over 150 years ago, but information remains scarce and scattered, with only one recent published account. Here we provide a synthesis of the mammals of Angola based on a thorough survey of primary and grey literature, as well as recent unpublished records. We present a short history of mammal research, and provide brief information on each species known...
Predicting bat distributions and diversity hotspots in southern Africa
Cooper-Bohannon, Rachael; Rebelo, Hugo; Jones, Gareth; Cotterill, Fenton; Monadjem, Ara; Schoeman, M.Corrie; Taylor, Peter; Park, KirstySpecies distribution models were used to predict bat species richness across southern Africa and to identify potential drivers of these spatial patterns. We also identified species richness within each biotic zone and the distributions of species considered of high conservation priority. We used this information to highlight conservation priorities for bats in southern Africa (defined here as between the latitu...