1. Jeanson, A. L., P. Soroye, A. Kadykalo, T. Ward, E. Paquette, A. Abrams, D. Algera, D. Demers, L. Epp, M. Giles, M. Litt, B. Manoucherhri, L. Masson, S. McBeth, A. Paradis, L. Pittet, J. Sebes, S. Steell, A. Thompson, P. Tremblay, E. Tuononen, J. T. Kerr, J. Bennett, S. Cooke. Submitted. Twenty Actions for a “Good” Anthropocene - Perspectives from Early Career Conservation Professionals. Sustainability Science.

  2. J. T. Kerr, D. Debinski, and M. Larrivée. In revision. Range dynamics at the wilderness frontier in North America and climate change-driven shifts in species trait distributions. 

  3. Stelbring, P., S. Pinkert, J. T. Kerr, C. Wheat, R. Brandl, and D. Zeuss. In press. Colour lightness of butterfly assemblages across North America and Europe. Scientific Reports.

  4. Singh, G., V. Farjalla, B. Chen, A. Pelling, E. Ceyhan, M. Dominik, E. Alisic, J. T. Kerr, N. Selin, E. Bennett, A. Kemp, K. Chan. In press. Research engagement in policy deemed societally beneficial yet unrewarded. Frontiers in Ecology and the Environment.

  5. Acheson, E., and J. T. Kerr. 2018. Nets versus spraying: A spatial modelling approach reveals indoor residual spraying targets Anopheles mosquito habitats better than mosquito nets in Tanzania. PLoS One. 

  6. Zuloaga*, J., D. J. Currie, and J. T. Kerr. 2018 The origins and maintenance of global species endemism. Global Ecology and Biogeography. 

  7. Kharouba, H. M., J. Lewthwaite, R. Guralnick, J. T. Kerr, & Mark Vellend. 2018. Using insect natural history collections to study global change impacts: challenges and opportunities. Philosophical Transactions of the Royal Society. 

  8. Sirois-Delisle*, C., and J. T. Kerr. 2018. Climate change-driven range losses among bumblebees are poised to accelerate. Scientific Reports. 

  9. Goulson, D., (others), and J. T. Kerr. 2018. Call to restrict neonicotinoids. Science 360: 973. (Quirks and Quarks 1, Quirks and Quarks 2, National Observer, Popular Science).

  10. Soroye*, P., N. Ahmed, and J. T. Kerr. 2018. Opportunistic citizen science data provides substantial novel information when used in complement with professional survey data. Global Change Biology. 

  11. Lewthwaite, J., AL Angert, SW Kembel, SJ Goring, TJ Davies, AØ Mooers, FAH Sperling, SM Vamosi, JC Vamosi, and J. T. Kerr. 2018. Canadian butterfly climate debt is significant and correlated with range size. Ecography.

  12. Soucy*, J-P. R., AM Slatculescu, C Nyiraneza, NH Ogden, PA Leighton, J. T. Kerr, MA Kulkarni. 2018. High-Resolution Ecological Niche Modeling of Ixodes scapularis Ticks Based on Passive Surveillance Data at the Northern Frontier of Lyme Disease Emergence in North America. Vector-Borne and Zoonotic Diseases 18(5):

  13. Frei*, B., E. M. Bennett, and J. T. Kerr. 2018. Cropland patchiness strongest agricultural predictor of bird diversity for multiple guilds in landscapes of Ontario, Canada. Regional Environmental Change DOI: 10.1007/s10113-018-1343-5.


  1. Carroll, C., B. Hartl, G. Goldman, D. J. Rohlf, A. Treves, J. T. Kerr, E. Ritchie, R. Kingsford, K. Gibbs, M. Maron, and J. Watson. 2017. Defending the scientific integrity of conservation-policy processes. Conservation Biology DOI: 10.1111/cobi.12958. Covered in The Atlantic, Canadian Geographic. 

  2. Baum, J. K., M. Dodd, K. Tietjen, J. T. Kerr. 2017. Restoring Canada’s competitiveness in fundamental research: the view from the benchGlobal Young Academy. Ottawa, Canada. 104pp. Supporting infographics here and here Report coverage in ScienceNatureGlobe and MailToronto StarOttawa CitizenTimes Higher EducationThe Scientist, Research Money, elsewhere. AAAS Podcast here

  3. Kerr, J. T. 2017. A cocktail of poisons. Science 356: 1332-1333. DOI: 10.1126/science.aan6713. Coverage in EconomistLe MondeEl MundoScience, The Guardian, etc. 

  4. Pettorelli, N., et al. (incl. J. T. Kerr). 2017. Satellite remote sensing of ecosystem function: opportunities, challenges, and the way forward. Remote Sensing in Ecology and Conservation 2: 122-131. DOI: 10.1002/rse2.15

  5. Robillard*, C. and J. T. Kerr. 2017. Assessing the shelf life of cost-efficient conservation plans for species at risk across gradients of agricultural land-use. Conservation Biology 31: 837-847. DOI: 10.1111/cobi.12886

  6. Desrochers*, R., A. Algar, D. J. Currie, and J. T. Kerr. 2017. Using regional patterns for predicting local temporal change: a test by natural experiment in the Great Lakes bioregion, Ontario, Canada. Diversity and Distributions 23: 261-271. DOI: 10.1111/ddi.12518

  7. Lewthwaite*, J., D. Debinski, and J. T. Kerr. 2017. Temperature as the main driver for spatial and temporal turnover in Canadian butterfly species. Global Ecology and Biogeography 26: 459-471. DOI: 10.1111/geb.12553

  8. Prudic, K. L., K. P. McFarland, J. C. Oliver, R. A. Hutchinson, E. C. Long, J. T. Kerr, M. Larrivée. 2017. eButterfly: Leveraging massive online citizen science for butterfly conservation. Insects 8(2): 53.


  1. Coristine*, L., R. Soares, P. Soroye, and J. T. Kerr. 2016. Dispersal limitation, climate change, and practical tools for butterfly conservation in intensively used landscapes. Natural Areas Journal 36: 440-452.

  2. Donaldson, M., N. Burnett, D. Braun, C. Suski, S. Hinch, S. Cooke, and J. T. Kerr. 2016. Taxonomic bias and international biodiversity conservation research. FACETS. DOI: 10.1139/facets-2016-0011 (Covered by Ottawa Citizen, Fulcrum, Hakai Magazine)

  3. Pettorelli, N., et al. (incl. J. T. Kerr). 2016. Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions. Remote Sensing in Ecology and Conservation.  DOI: 10.1002/rse2.15 (Covered by Science News, EurekAlert, etc.)

  4. Zuloaga*, J., and J. T. Kerr. 2016. Over the top: do thermal barriers along elevation gradients limit biotic similarity? Ecography 40: 478-486. DOI: 10.1111/ecog.01764  Data and supplemental materials:


  1. Kerr J. T., Pindar* A, Galpern* P, Packer L, Roberts SM, Rasmont P, Schweiger O, Colla SR, Richardson LL, Wagner DL, Gall LF, Sikes DS, Pantoja A. 2015. Relocation risky for bumblebee colonies - Reply. Science 350: 287. DOI: 10.1126/science.350.6258.287

  2. Kerr J. T., Pindar* A, Galpern* P, Packer L, Roberts SM, Rasmont P, Schweiger O, Colla SR, Richardson LL, Wagner DL, Gall LF, Sikes, DS., Pantoja A. 2015. Climate change impacts on bumblebees converge across continents. Science 349: 177-180. Abstract hereReprint hereFull HTML text here. Supporting multimedia materials streamed here. Science Latest News here. Nature News and Views here. International media coverage listed partially on “News and Public Science” link on this site. One of the 5 highest profile publications worldwide for July 2015

  3. Kerr J. T., Pindar* A, Galpern* P, Packer L, Roberts SM, Rasmont P, Schweiger O, Colla SR, Richardson LL, Wagner DL, Gall LF, Sikes DS, Pantoja A .2015. Data from: Climate change impacts on bumblebees converge across continents. Dryad Digital Repository.

  4. Coristine*, L., and J. T. Kerr. 2015. Climate-induced geographical shifts among passerines: contrasting processes along poleward and equatorward range margins.  Ecology and Evolution. DOI: 10.1002/ece3.1683. Covered in CBC’s Quirks and Quarks, and on a number of radio programs.

  5. Acheson*, E., A. Plowright*, and J. T. Kerr. 2015. Where have all the mosquito nets gone? Spatial modelling reveals mosquito net distributions across Tanzania do not target optimal Anopheles mosquito habitats. Malaria Journal 14: 322. Covered by The Fulcrum.

  6. Robillard*, C., L. Coristine*, R. Soares*, and J. T. Kerr. 2015. Facilitating climate change-induced range shifts through a continental land use barrier. Conservation Biology 29: 1586-1595. Discussed in Conservation Corridor

  7. Acheson*, E. S., and J. T. Kerr. 2015. Looking forward by looking back: Using historical calibration to improve forecasts of human disease vector distributions. Vector-borne and Zoonotic Diseases 15: 173-183. 


  1. Coristine*, L.E., C.M. Robillard*, J. T. Kerr, C.M. O’Connor, D. Lapointe and S.J. Cooke.  2014.  A conceptual framework for the emerging discipline of conservation physiology.  Conservation Physiology 2. DOI: 10.1093/conphys/cou033

  2. Boucher-Lalonde, V., J. T. Kerr, and D. J. Currie. 2014. Does climate limit species richness by limiting individual species' ranges? Proceedings of the Royal Society B 281: DOI: 10.1098/rspb.2013.2695. Media attention here, and from CBC here.  (PDF).

  3. Kharouba, H. M., S. Paquette, J. T. Kerr, and M. Vellend. 2014. Predicting the sensitivity of butterfly phenology over the past century. Global Change Biology 20: 504-514. Press attention from Conservation MagazineEnvironmental news network, etc.  (PDF).


  1. Faith, D., B. Collen, A. Arino, P. Koleff, J. Guinotte, J. T. Kerr, and V. Chavan. 2013. Bridging the biodiversity data gaps: recommendations to meet users' data needs. Biodiversity Informatics 8: 41-58. (PDF).

  2. Colla, S., N. Szabo*, L. Gall, D. Wagner, and J. T. Kerr. 2013. Response to Stevens and Jenkins pesticide impacts on bumblebees: a missing piece. Conservation Letters 6: 215-216. (PDF).

  3. J. T. Kerr, and S. Dobrowski. 2013. Predicting the impacts of global change on species, communities, and ecosystems: it takes time. Global Ecology and Biogeography 22: 261-263. Special Issue organized by Dobrowski and Kerr. (The most downloaded article of 2013 for the journal) (PDF).

  4. Leroux*, S., M. Larrivee*, V. Boucher-Lalonde, A. Hurford, J. Zuloaga*, J. T. Kerr, and F. Lutscher. 2013. Mechanistic models for the spatial spread of species under climate change. Ecological Applications 23:815-828. Faculty of 1000 selection. (PDF).

  5. Leroux*, S., and J. T. Kerr. 2013. Land-use development in and surrounding protected areas at the wilderness frontier. Conservation Biology. (PDF).


  1. Larrivee*, M., and J. T. Kerr. 2012. Eastern Canadian butterfly range expansions. Bulletin of the Entomological Society of Canada44: 133-137.

  2. Bedford*, F., R. J. Whittaker, and J. T. Kerr. 2012. Rapid climate change and the latitudinal gradient in geographical range responses in a Canadian pollinator taxon. Botany 90: 587-597. (special issue on pollination and conservation). (PDF).

  3. Davila, Y. C., E. Elle, J. C. Vamosi, L. Hermanutz, J. T. Kerr, C. J. Lortie, A. R. Westwood, T. S. Woodcock, and A. Worley. 2012. Ecosystem services of pollinator diversity: a review of the relationship with pollen limitation of plant reproduction. Botany 90: 535-543.(special issue on pollination and conservation). (PDF)

  4. Szabo*, N. D., S. R. Colla, D. L. Wagner, L. F. Gall, and J. T. Kerr. 2012. Do pathogen spillover, pesticide use, or habitat loss explain recent North American bumblebee declines? Conservation Letters 5: 232-239. (PDF).



  1. Whittaker, R. J., and J. T. Kerr. 2011. In search of general models in evolutionary time and space. Journal of Biogeography 38: 2041-2042. (PDF)

  2. Algar*, A. C., J. T. Kerr, D. J. Currie. 2011. Quantifying the importance of regional and local filters for community trait structure in tropical and temperate regions. Ecology 92: 903-914. (PDF)

  3. Burke*, R., J. Fitzsimmons*, and J. T. Kerr. 2011. A mobility index for Canadian butterfly species based on experts' knowledge. Biodiversity & Conservation 20: 2273-2295. (PDF)

  4. Coristine*, L., and J. T. Kerr. 2011. Habitat loss, climate change, and their implications for the conservation of biodiversity in Canada. Canadian Journal of Zoology 89: 435-451.   (PDF)

  5. Desrochers*, R., J. T. Kerr, and D. J. Currie. 2011. How, and how much, natural cover loss increases species richness. Global Ecology and Biogeography 20: 857-867.  (PDF)

  6. Kerr, J. T., M. Kulkarni*, and A. Algar*. 2011. Integrating theory and predictive modelling for conservation research. Chapter 1 in Predictive modelling (Springer), Drew, Wiersma, Huettmann, eds.


  1. Kulkarni*, M., R. Desrochers*, J. T. Kerr. 2010. High resolution niche models of malaria vectors in Northern Tanzania: a new capacity to predict malaria risk? PLoS One 5(2): E9396. Front page coverage by Malaria World (March 5, 2010).

  2. Kharouba*, H. M., J. T. Kerr. 2010. Just passing through: Global change and the conservation of biodiversity in protected areas. Biological Conservation 143: 1094-1011.  (PDF)

  3. Fitzsimmons*, J., S. Schoustra, J. T. Kerr, R. Kassen. 2010. Population consequences of mutational events: effects of antibiotic resistance on the r/K trade-off. Evolutionary Ecology 24: 227-236.  (PDF)


  1. Szabo*, N., Algar*, A. C., and J. T. Kerr. 2009. Reconciling topographic and climatic effects on widespread and range-restricted species richness. Global Ecology and Biogeography 18: 735-744. (PDFsupplementary materials)

  2. Algar*, A. C., H. M. Kharouba*, E. R. Young*, and J. T. Kerr. 2009. Predicting the future of species diversity: macroecological theory, climate change, and direct tests of alternate forecasting methods. Ecography 32: 22-33. (PDF)

  3. Svenning, J.-C., J. T. Kerr, and C. Rahbek. 2009. Predicting future shifts in species diversity. Ecography 32: 3-4. (PDF)

  4. Bini et al. 2009. Parameter estimation in geographical ecology: an empirical evaluation of spatial and non-spatial regression. Ecography 32: 193-204. (PDF)

  5. Kharouba*, H. M., A. C. Algar*, and J. T. Kerr. 2009. Historically calibrated predictions of butterfly species' range shift using global change as a pseudo-experiment. Ecology 90: 2213-2222. (PDF)

  6. Nativi, S., P. Mazzetti, H. Saarenmaa, J. T. Kerr, and E. O’Tuama. 2009. Biodiversity and climate change use scenarios framework for the GEOSS interoperability pilot process. Ecological Informatics 4:23-33. (PDF)

  7. Algar*, A. C., J. T. Kerr, and D. J. Currie. 2009. Evolutionary constraints on regional faunas: whom, but not how many. EcologyLetters 12: 57-65. (PDF)


  1. Kharouba*, H. M., J. L. Nadeau*, E. Young*, and J. T. Kerr. 2008. Using species distribution models to effectively conserve biodiversity into the future. Biodiversity 9: 39-47. (PDF)

  2. Currie, D. J. and J. T. Kerr. 2008. Tests of the mid-domain effect: Is there any evidence? Ecological Monographs 78: 3-18. (PDF)

  3. Field, R., Hawkins, Cornell, Currie, Diniz-Filho, Guegan, Kaufman, J. T. Kerr, Mittelbach, Oberdorff, O'Brien, and Turner. 2008. Spatial species richness richness gradients across scales: a meta-analysis. Journal of Biogeography. (PDF)


  1. Kerr, J. T., H. M. Kharouba*, and D. J. Currie. 2007. The macroecological contribution to global change solutions. Science 316: 1581-1584. Abstract hereReprint hereFull text online here

  2. Currie, D. J., and J. T. Kerr. 2007. Testing, as opposed to supporting, the Mid-domain Hypothesis: a reply to Lees and Colwell. Ecology Letters 10: E9-E10. (PDF)

  3. Nativi, S., P. Mazzetti, H. Saarenmaa, J. T. Kerr, H. Kharouba, E. O Tuama, & S.J.S. Khalsa. 2007. Predicting the impact of climate change on biodiversity - a GEOSS scenario. The Full Picture. Published by Tudor Rose Press for Group on Earth Observations. (PDF)

  4. Hawkins, B. A., J.A.F. Diniz-Filho, L. M. Bini, M. B. Araujo, R. Field, J. Hortal, J. T. Kerr, C. Rahbek, M. Rodriguez, N. J. Sanders. 2007. Metabolic theory and diversity gradients: where do we go from here? Ecology 88: 1898-1902. (PDF)

  5. Hawkins, B. A., Fabio S. Albuquerque, Miguel B. Araújo, Jan Beck, Luis Mauricio Bini, Francisco J. Cabrero-Sañudo, Isabel Castro-Parga, José Alexandre Felizola Diniz-Filho, Dolores Ferrer-Castán, Richard Field, José F. Gómez, Joaquín Hortal, J. T. Kerr, Ian J. Kitching, Jorge L. León-Cortés, Jorge M. Lobo, Daniel Montoya, Juan Carlos Moreno, Miguel Á. Olalla-Tárraga, Juli G. Pausas, Hong Qian, Carsten Rahbek, Miguel Á. Rodríguez, Nathan J. Sanders, and Paul Williams. 2007. A global evaluation of metabolic theory as an explanation for terrestrial species richness gradients. Ecology 88: 1877-1888. Listed as a Faculty of 1000 top paper. (PDF)

  6. White*, P.J., and J. T. Kerr. 2007. Human impacts on environment-diversity relationships: evidence for biotic homogenization from butterfly species richness patterns. Global Ecology and Biogeography 16, 290-299. (PDF - optimized for web. Cover art for May 2007 issue of GEB.)

  7. Kerr, J. T., and H. M. Kharouba*. 2007. Climate change and conservation biology. Theoretical Ecology, 3rd edition, R.M. May and A. Maclean, editors. Book home page at Oxford University Press here. Reviewed in Science.

  8. Algar*, A. C., J. T. Kerr, and D. J. Currie. 2007. A test of Metabolic Theory as the mechanism underlying broad-scale species richness gradients. Global Ecology and Biogeography 16: 170-178. (PDF)


  1. White*, P.J., and J. T. Kerr. 2006. Contrasting spatial and temporal global change impacts on butterfly species richness during the 20th century. Ecography 29: 908-918. (PDF)

  2. Kerr, J. T., M. Perring*, and D. J. Currie. 2006. The missing Madagascan mid-domain effect. Ecology Letters 9: 149-159. (PDF)

  3. Deguise*, I., and J. T. Kerr. 2006. Protected areas and prospects for endangered species conservation. Conservation Biology 20: 48-55. (PDF)

  4. Olthof, I., D. Pouliot, R. Fraser, A. Clouston, S. Wang, W. Chen, J. Orazietti, J. Poitevin, D. McLennan, J. Kerr, & M. Sawada. 2006. Using satellite remote sensing to assess and monitor ecosystem integrity and climate change in Canada's National Parks. Proceedings of the International Geoscience and Remote Sensing Symposium 2006. (PDF)


  1. Kerr, J. T., and J. Cihlar. 2005. Land use mapping. In Encyclopedia of Social Sciences, Academic Press.


  1. Kerr, J. T., and I. Deguise*. 2004. Habitat loss and limits to recovery of endangered wildlife. Ecology Letters 7: 1163-1169. (PDF). Cover art for this issue. 

  2. Currie, D. J., G. G. Mittelbach, H. V. Cornell, R. Field, J.-F. Guegan, B. A. Hawkins, D. M. Kaufman, J. T. Kerr, T. Oberdorff, E. O'Brien, J. R. G. Turner. 2004. A critical review of species-energy theory. Ecology Letters 7: 1121-1134. (PDF)

  3. Kerr, J. T. and J. Cihlar. 2004. Patterns and causes of species endangerment in Canada. Ecological Applications 14: 743-753. (PDF)


  1. Kerr, J. T., and M. Ostrovsky. 2003. From space to species: ecological applications for remote sensing. Trends in Ecology and Evolution 18: 299-305. (PDF)

  2. Hawkins, B. A., R. Field, H. V. Cornell, D. J. Currie, J.-F. Guegan, D. M. Kaufman, J. T. Kerr, G. G. Mittelbach, T. Oberdorff, E. E. Porter, and J. R. G. Turner. 2003. Energy, water, and broad-scale geographic patterns of species richness. Ecology 84: 3105-3117. (PDF)

  3. Cihlar, J., B. Guindon, J. Beaubien, R. Latifovic, D. Peddle, M. Wulder, R. Fernandes, and J. T. Kerr. 2003. From need to product: a methodology for completing a land cover map of Canada with Landsat data. Canadian Journal of Remote Sensing 29: 171-186. (PDF.)

  4. Kerr, J. T., and J. Cihlar. 2003. Land use and land use intensity estimation in Canada from SPOT4/VEGETATION and ancillary data. Global Ecology and Biogeography 12: 161-172. (PDF.)

2002 and before

  1. Kerr, J. T. and T. V. Burkey. 2002. Endemism, diversity, and the threat of tropical moist forest extinctions. Biodiversity and Conservation 11: 695-704. (PDF)

  2. Kerr, J. T., T. R. E. Southwood, and J. Cihlar. 2001. Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada. Proceedings of the National Academy of Sciences 98: 11365-11370. (PDF)

  3. Kerr, J. T. 2001. Global biodiversity: From description to understanding. Trends in Ecology and Evolution 16: 424-425. (PDF)

  4. Kerr, J. T. 2001. Butterfly species richness patterns in Canada: energy, heterogeneity, and the potential consequences of climate change. Conservation Ecology 5: 10. URL:

  5. Kerr, J. T., A. Sugar, and L. Packer. 2000. Indicator taxa, rapid biodiversity assessment, and nestedness in an endangered ecosystem. Conservation Biology 14: 1726-1734. (PDF)

  6. Kerr, J. T., and D. J. Currie. 1999. Evolutionary and environmental controls on broad-scale patterns of biodiversity in North America. EcoScience 6: 329-337. (PDF)

  7. Currie, D. J., J. T. Kerr, and A. Francis. 1999. 12 general propositions regarding spatial patterns of diversity. EcoScience 6: 392-399. (PDF)

  8. Sugar, A., Finnamore, A., Goulet, H., Cummings, G., Kerr, J. T., De Giusti, M., and Packer, L. 1999. A preliminary survey of Symphytan and Aculeate hymenoptera from oak savannas in southern Ontario. Proceedings of the Ontario Entomological Society 129: 9-18. (

  9. Kerr, J. T., and L. Packer. 1999. The environmental basis of North American species richness patterns among Epicauta (Coleoptera: Meloidae). Biodiversity and Conservation 8: 617-628. (PDF)

  10. Kerr, J. T. 1999. Weak links: Rapoport's rule and large-scale species richness patterns. Global Ecology and Biogeography 8: 47-54. (PDF)

  11. Kerr, J. T., R. Vincent, and D. J. Currie. 1998. Determinants of Lepidoptera richness in North America. EcoScience 5: 448-453. (PDF)

  12. Kerr, J. T., & L. Packer. 1998. Effects of climate change on Canadian mammal species richness. Environmental Monitoring and Assessment 49: 261-268. (PDF)

  13. Kerr, J. T., & L. Packer. 1997. Habitat heterogeneity as a determinant of mammal species richness in high energy regions. Nature385: 252-254. (PDF)

  14. Kerr, J. T. 1997. Species richness, endemism, and the choice of areas for conservation. Conservation Biology 11: 1094-1100. (PDF)

  15. Kerr, J. T., & D. J. Currie. 1995. Effects of human activity on global extinction risk. Conservation Biology 9: 1528-1538. (PDF)

Our research group has nearly 100 publications, with a number of additional articles in process at all times. I don't list "in preparation" works. We try to make every contribution count in terms of scientific and societal benefit (i.e. NOT "minimum publishable units", and we don't publish the same discovery repeatedly using subtly different data). We work with media frequently and have contributed to policies and legislation provincially and nationally in Canada. Examples of impact include contributions to the Ontario Endangered Species Act, conservation commitments in the northern boreal regions of Canada, and issues around science integrity. 

Scientific publication is in transition. We have often published our work using the "gold" open access standard, but associated costs have grown unsustainably and, frankly, the costs journals charge for this are absurd. We will shift, sometimes, to the "green" standard. Social media play increasingly important roles in publication. This kind of communication is helpful and can inform colleagues about discoveries, but mainstream media covers much of our work pretty intensively and this continues to be way more effective in reaching the public.