Chapter 11 Usage

11.1 Citations

There’s currently 110 taxize citations.

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  • Da Silva, R., & Conde, D. A. (2018). Data on the conservation potential of fish and coral populations in aquariums. Data in Brief. https://doi.org/10.1016/j.dib.2018.12.083
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  • Muñoz, G., Kissling, W. D., & van Loon, E. E. (2019). Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. Biodiversity Data Journal, 7. https://doi.org/10.3897/bdj.7.e28737
  • Smith, T. P., Thomas, T. J., Garcia-Carreras, B., Sal, S., Yvon-Durocher, G., Bell, T., & Pawar, S. (2019). Metabolic rates of prokaryotic microbes may inevitably rise with global warming. bioRxiv, 524264. https://doi.org/10.1101/524264
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  • Thomsen, P. F., & Sigsgaard, E. E. (2019). Environmental DNA metabarcoding of wild flowers reveals diverse communities of terrestrial arthropods. Ecology and Evolution. https://doi.org/10.1002/ece3.4809
  • König, C., Weigelt, P., Schrader, J., Taylor, A., Kattge, J., & Kreft, H. (2019). Biodiversity data integration–The significance of data resolution and domain. PLOS Biology, 17(3), e3000183. https://doi.org/10.1371/journal.pbio.3000183
  • Higino, G., & Vital, M. V. C. (2019). Mapping and understanding the digital biodiversity knowledge about vertebrates in the Atlantic Rainforest. https://doi.org/10.32942/osf.io/c63vj
  • Jo, J., Lee, H.-G., Kim, K. Y., & Park, C. (2019). SoEM: a novel PCR-free biodiversity assessment method based on small-organelles enriched metagenomics. ALGAE, 34(1), 57–70. https://doi.org/10.4490/algae.2019.34.2.26
  • Axtner, J., Crampton-Platt, A., Hörig, L. A., Mohamed, A., Xu, C. C. Y., Yu, D. W., & Wilting, A. (2019). An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies. GigaScience, 8(4). https://doi.org/10.1093/gigascience/giz029
  • Conde, D. A., Staerk, J., Colchero, F., da Silva, R., Schöley, J., Baden, H. M., … Vaupel, J. W. (2019). Data gaps and opportunities for comparative and conservation biology. Proceedings of the National Academy of Sciences, 201816367. https://doi.org/10.1073/pnas.1816367116
  • Van den Berg, S. J. P., Baveco, H., Butler, E., De Laender, F., Focks, A., Franco, A., … Van den Brink, P. J. (2019). Modeling the Sensitivity of Aquatic Macroinvertebrates to Chemicals Using Traits. Environmental Science & Technology. https://doi.org/10.1021/acs.est.9b00893
  • Lin, B. Y., Chan, P. P., & Lowe, T. M. (2019). tRNAviz: explore and visualize tRNA sequence features. Nucleic Acids Research. https://doi.org/10.1093/nar/gkz438
  • Sporbert, M., Bruelheide, H., Seidler, G., Keil, P., Jandt, U., Austrheim, G., … Welk, E. (2019). Assessing sampling coverage of species distribution in biodiversity databases. Journal of Vegetation Science. https://doi.org/10.1111/jvs.12763
  • Steidinger, B. S., Crowther, T. W., Liang, J., Van Nuland, M. E., Werner, G. D. A., … Peay, K. G. (2019). Climatic controls of decomposition drive the global biogeography of forest-tree symbioses. Nature, 569(7756), 404–408. https://doi.org/10.1038/s41586-019-1128-0
  • Bagley, M., Pilgrim, E., Knapp, M., Yoder, C., Santo Domingo, J., & Banerji, A. (2019). High-throughput environmental DNA analysis informs a biological assessment of an urban stream. Ecological Indicators, 104, 378–389. https://doi.org/10.1016/j.ecolind.2019.04.088
  • Foisy, M. R., Albert, L. P., Hughes, D. W. W., & Weber, M. G. (2019). Do latex and resin canals spur plant diversification? Re‐examining a classic example of escape and radiate coevolution. Journal of Ecology. https://doi.org/10.1111/1365-2745.13203
  • Boggs, Scheible, Machado, & Meiklejohn. (2019). Single Fragment or Bulk Soil DNA Metabarcoding: Which is Better for Characterizing Biological Taxa Found in Surface Soils for Sample Separation? Genes, 10(6), 431. https://doi.org/10.3390/genes10060431
  • Palacios-Abrantes, J., Cisneros-Montemayor, A. M., Cisneros-Mata, M. A., Rodríguez, L., Arreguín-Sánchez, F., Aguilar, V., … Cheung, W. W. L. (2019). A metadata approach to evaluate the state of ocean knowledge: Strengths, limitations, and application to Mexico. PLOS ONE, 14(6), e0216723. https://doi.org/10.1371/journal.pone.0216723
  • Grattarola, F., Botto, G., da Rosa, I., Gobel, N., González, E., González, J., … Pincheira-Donoso, D. (2019). Biodiversidata: An Open-Access Biodiversity Database for Uruguay. Biodiversity Data Journal, 7. https://doi.org/10.3897/bdj.7.e36226
  • Danella Figo, D., De Amicis, K., Neiva Santos de Aquino, D., Pomiecinski, F., Gadermaier, G., Briza, P., … Souza Santos, K. (2019). Cashew Tree Pollen: An Unknown Source of IgE-Reactive Molecules. International Journal of Molecular Sciences, 20(10), 2397. https://doi.org/10.3390/ijms20102397
  • Hagen, O., Vaterlaus, L., Albouy, C., Brown, A., Leugger, F., Onstein, R. E., … Pellissier, L. (2019). Mountain building, climate cooling and the richness of cold‐adapted plants in the Northern Hemisphere. Journal of Biogeography. https://doi.org/10.1111/jbi.13653
  • Lennox, R. J., Veríssimo, D., Twardek, W. M., Davis, C. R., & Jarić, I. (2019). Sentiment analysis as a measure of conservation culture in scientific literature. Conservation Biology. https://doi.org/10.1111/cobi.13404
  • Esperon‐Rodriguez, M., Power, S. A., Tjoelker, M. G., Beaumont, L. J., Burley, H., Caballero‐Rodriguez, D., & Rymer, P. D. (2019). Assessing the vulnerability of Australia’s urban forests to climate extremes. Plants, People, Planet. https://doi.org/10.1002/ppp3.10064
  • Cazelles, K., Bartley, T., Guzzo, M. M., Brice, M., MacDougall, A. S., Bennett, J. R., … McCann, K. S. (2019). Homogenization of freshwater lakes: recent compositional shifts in fish communities are explained by gamefish movement and not climate change. Global Change Biology. https://doi.org/10.1111/gcb.14829
  • Bufford, J. L., Hulme, P. E., Sikes, B. A., Cooper, J. A., Johnston, P. R., & Duncan, R. P. (2019). Novel interactions between alien pathogens and native plants increase plant‐pathogen network connectance and decrease specialization. Journal of Ecology. https://doi.org/10.1111/1365-2745.13293
  • Emer, C., Galetti, M., Pizo, M. A., Guimarães, P. R., Moraes, S., Piratelli, A., & Jordano, P. (2018). Seed-dispersal interactions in fragmented landscapes - a metanetwork approach. Ecology Letters. https://doi.org/10.1111/ele.12909
  • Surabhi, S., Avvaru, A. K., Sowpati, D. T., & Mishra, R. K. (2018). Patterns of microsatellite distribution reflect the evolution of biological complexity. https://doi.org/10.1101/253930
  • Khorramdelazad, M., Bar, I., Whatmore, P., Smetham, G., Bhaaskaria, V., Yang, Y., … Ford, R. (2018). Transcriptome profiling of lentil (Lens culinaris) through the first 24 hours of Ascochyta lentis infection reveals key defence response genes. BMC Genomics, 19(1). https://doi.org/10.1186/s12864-018-4488-1
  • Borcard D., Gillet F., Legendre P. (2018) Community Diversity. In: Numerical Ecology with R. Use R! Springer, Cham https://doi.org/10.1007/978-3-319-71404-2_8
  • Vieilledent, G., Fischer, F. J., Chave, J., Guibal, D., Langbour, P., & Gérard, J. (2018). New formula and conversion factor to compute tree species basic wood density from a global wood technology database. bioRxiv, 274068. https://doi.org/10.1101/274068
  • Foster, Z. S. L., Chamberlain, S., & Grünwald, N. J. (2018). Taxa: An R package implementing data standards and methods for taxonomic data. F1000Research, 7, 272. https://doi.org/10.12688/f1000research.14013.1
  • Bennett, J. M., Calosi, P., Clusella-Trullas, S., Martínez, B., Sunday, J., Algar, A. C., … Morales-Castilla, I. (2018). GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms. Scientific Data, 5, 180022. https://doi.org/10.1038/sdata.2018.22
  • Correia, R. A., Jarić, I., Jepson, P., Malhado, A. C. M., Alves, J. A., & Ladle, R. J. (2018). Nomenclature instability in species culturomic assessments: Why synonyms matter. Ecological Indicators, 90, 74–78. https://doi.org/10.1016/j.ecolind.2018.02.059
  • Holmes, I., & Davis Rabosky, A. R. (2018). Natural history bycatch: a pipeline for identifying metagenomic sequences in RADseq data. PeerJ, 6, e4662. https://doi.org/10.7717/peerj.4662
  • Yee, Lauren. 2018. Spatial Modelling and Wildlife Health Surveillance: A case study of White Nose Syndrome in Ontario. Theses and Dissertations (Comprehensive). 2040. http://scholars.wlu.ca/etd/2040
  • Ondei, S., Brook, B. W., & Buettel, J. C. (2018). Nature’s untold stories: an overview on the availability and type of on-line data on long-term biodiversity monitoring. Biodiversity and Conservation. https://doi.org/10.1007/s10531-018-1582-2
  • Tsuboi, M., van der Bijl, W., Kopperud, B. T., Erritzøe, J., Voje, K. L., Kotrschal, A., … Kolm, N. (2018). Breakdown of brain–body allometry and the encephalization of birds and mammals. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-018-0632-1
  • Grenié, M., Mouillot, D., Villéger, S., Denelle, P., Tucker, C. M., Munoz, F., & Violle, C. (2018). Functional rarity of coral reef fishes at the global scale: Hotspots and challenges for conservation. Biological Conservation, 226, 288–299. https://doi.org/10.1016/j.biocon.2018.08.011
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  • Morzaria-Luna, H. N., Cruz-Piñón, G., Brusca, R. C., López-Ortiz, A. M., Moreno-Báez, M., Reyes-Bonilla, H., & Turk-Boyer, P. (2018). Biodiversity hotspots are not congruent with conservation areas in the Gulf of California. Biodiversity and Conservation. https://doi.org/10.1007/s10531-018-1631-x"
  • Vieilledent, G., Fischer, F. J., Chave, J., Guibal, D., Langbour, P., & Gérard, J. (2018). New formula and conversion factor to compute basic wood density of tree species using a global wood technology database. American Journal of Botany. https://doi.org/10.1002/ajb2.1175
  • Milla, R., Bastida, J. M., Turcotte, M. M., Jones, G., Violle, C., Osborne, C. P., … Byun, C. (2018). Phylogenetic patterns and phenotypic profiles of the species of plants and mammals farmed for food. Nature Ecology & Evolution, 2(11), 1808–1817. https://doi.org/10.1038/s41559-018-0690-4
  • Kandlikar, G. S., Gold, Z. J., Cowen, M. C., Meyer, R. S., Freise, A. C., Kraft, N. J. B., … Curd, E. E. (2018). ranacapa: An R package and Shiny web app to explore environmental DNA data with exploratory statistics and interactive visualizations. F1000Research, 7, 1734. https://doi.org/10.12688/f1000research.16680.1
  • Bartomeus, I., Stavert, J. R., Ward, D., & Aguado, O. (2018). Historical collections as a tool for assessing the global pollination crisis. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1763), 20170389. https://doi.org/10.1098/rstb.2017.0389
  • Pelletier, T. A., Carstens, B. C., Tank, D. C., Sullivan, J., & Espíndola, A. (2018). Predicting plant conservation priorities on a global scale. Proceedings of the National Academy of Sciences, 201804098. https://doi.org/10.1073/pnas.1804098115
  • Szöcs, E. (2017). Statistical eco (-toxico) logy: improving the utilisation of data for environmental risk assessment (Doctoral dissertation, Dissertation, Landau, Universität Koblenz-Landau, Campus Landau, 2017). https://portal.dnb.de/opac.htm?method=simpleSearch&cqlMode=true&query=idn%3D1124465774
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  • Mohiuddin, M. M., Salama, Y., Schellhorn, H. E., & Golding, G. B. (2017). Shotgun metagenomic sequencing reveals freshwater beach sands as reservoir of bacterial pathogens. Water Research. https://doi.org/10.1016/j.watres.2017.02.057
  • Andruszkiewicz, E. A., Starks, H. A., Chavez, F. P., Sassoubre, L. M., Block, B. A., & Boehm, A. B. (2017). Biomonitoring of marine vertebrates in Monterey Bay using eDNA metabarcoding. PLOS ONE, 12(4), e0176343. https://doi.org/10.1371/journal.pone.0176343
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  • Ordano, M., Blendinger, P. G., Lomáscolo, S. B., Chacoff, N. P., Sánchez, M. S., Núñez Montellano, M. G., … Valoy, M. (2017). The role of trait combination in the conspicuousness of fruit display among bird-dispersed plants. Functional Ecology. https://doi.org/10.1111/1365-2435.12899
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  • Leung, W. T. M., Thomas-Walters, L., Garner, T. W. J., Balloux, F., Durrant, C., & Price, S. J. (2017). A quantitative-PCR based method to estimate ranavirus viral load following normalisation by reference to an ultraconserved vertebrate target. Journal of Virological Methods. https://doi.org/10.1016/j.jviromet.2017.08.016
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