Jamie M. Kass

Jamie M. Kass

Associate Professor

Peer-reviewed

    2023
  1. Kass, J. M., Yoshimura, M., Ogasawara, M., Suwabe, M., Hita Garcia, F., Fischer, G., Dudley, K. L., Donohue, I., & Economo, E. P. (2023). Breakdown in seasonal dynamics of ant communities with land-cover change. Accepted. Proceedings of the Royal Society B: Biological Sciences. BioRxiv Preprint: https://doi.org/10.1101/2023.01.17.523860
  2. Suárez-Atilano, M., Pacheco-Sierra, G., Vázquez-Domínguez, E., Kass, J. M., Paz, A., Pérez-Alquicira, J. Genomic and environmental insights and conservation challenges for two hybridizing iconic crocodile species across Mexico: Crocodylus acutus and C. moreletii. Animal Conservation. Online Early. https://doi.org/10.1111/acv.12907
  3. French, C. M., Bertola, L. D., Carnaval, A. C., Economo, E. P., Kass, J. M., Lohman, D. J., Marske, K. A., Meier, R., Overcast, I., Rominger, A. J., Staniczenko, P., & Hickerson, M. J. (2023). Global determinants of insect mitochondrial genetic diversity. Nature Communications. Online Early. https://rdcu.be/dkHjx
  4. Merow, C., Boyle, B., Enquist, B. J., Feng, X., Kass, J. M., Maitner, B. S., McGill, B., Owens, H., Park, D. S., Paz, A., Pinilla-Buitrago, G. E., Urban, M. C., Varela, S., & Wilson, A. M. (2023). Better incentives are needed to reward academic software development. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-023-02008-w
  5. Kass, J. M., Pinilla-Buitrago, G. E., Paz, A., Johnson, B. A., Grisales-Betancur, V., Meenan, S. I., Attali, D., Broennimann, O., Galante, P. J., Maitner, B. S., Owens, H. L., Varela, S., Aiello‐Lammens, M. E., Merow, C., Blair, M. E., & Anderson, R. P. (2023). wallace 2: a shiny app for modeling species niches and distributions redesigned to facilitate expansion via module contributions. Ecography, e06547. https://doi.org/10.1111/ecog.06547
  6. Wang, R., Kass, J. M., Galkowski, C., Garcia, F., Hamer, M. T., Radchenko, A., Salata, S., Schifani, E., Yusupov, Z. M., Economo, E. P., & Guénard, B. (2023). Geographic and climatic constraints on bioregionalization of European ants. Journal of Biogegraphy, 503-514. https://doi.org/10.1111/jbi.14546
  7. Goodman, A. M., Kass, J. M., & Ware, J. (2023). Dynamic distribution modeling of the Swamp Tigertail dragonfly Synthemis eustalacta (Odonata: Anisoptera: Synthemistidae) over a 20-year bushfire regime. Ecological Entomology, Early View. https://doi.org/10.1111/een.13216
  8. Galante, P. J., Chang, S., Paz, A., Aiello-Lammens, M. E., Gerstner, B. E., Johnson, B. A., Kass, J. M., Merow, C., Noguera-Urbano, E. A., Pinilla-Buitrago, G. E., & Blair, M. E. (2023). changeRangeR: an R package for reproducible biodiversity change metrics from species distribution estimates. Conservation Science and Practice, 5: e12863. https://doi.org/10.1111/csp2.12863
    9. 2022
  9. Warren, D. L., Kass, J. M., Casadei-Ferreira, A., & Economo, E. P. (2022). Incorporating sampling bias into permutation tests for niche and distribution models. BioRxiv, 2022.08.08.503252. Preprint. https://doi.org/10.1101/2022.08.08.503252
  10. Warren, D. L., Kass, J. M., & Economo, E. P. (2022). Randomization analyses in niche and distribution modeling. EcoEvoXiv, 2022-09-01 12:50. Preprint. https://doi.org/10.32942/osf.io/ckspq
  11. Kass, J. M., Guénard, B., Dudley, K. L., Jenkins, C. N., Azuma, F., Fisher, B. L., Parr, C. L., Gibb, H., Longino, J. T., Ward, P. S., Chao, A., Lubertazzi, D., Weiser, M., Jetz, W., Guralnick, R., Blatrix, R., Lauriers, J. D., Donoso, D. A., Georgiadis, C., Gomez, K., Hawkes, P. G., Johnson, R. A., Lattke, J. E., MacGown, J. A., MacKay, W., Robson, S., Sanders, N. J., Dunn, R. R., & Economo, E. P. (2022). The global distribution of known and undiscovered ant biodiversity. Science Advances, 8: eabp9908. https://doi.org/10.1126/sciadv.abp9908
  12. Andrade-Silva, J., Baccaro, F. B., Prado, L. P., Guénard, B., Warren, D. L., Kass, J. M., Economo, E. P., & Silva, R. R. (2022). A large-scale assessment of ant diversity across the Brazilian Amazon Basin: integrating geographic, ecological and morphological drivers of sampling bias. Ecography, 9: e06295. https://doi.org/10.1111/ecog.06295
  13. Morente-López, J., Kass, J. M., Lara-Romero, C., Serra-Diaz, J. M., Soto-Correa, J. C., Anderson, R. P., & Iriondo, J. M. (2022). Linking ecological niche models and common garden experiments to predict phenotypic differentiation in stressful environments: Assessing the adaptive value of marginal populations in an alpine plant. Global Change Biology, 28: 4143 - 4162. https://doi.org/10.1111/gcb.16181
  14. Merow, C.; Galante, P. J; Kass, J. M; Aiello-Lammens, M. E; Babich Morrow, C.; Gerstner, B. E, Grisales-Betancur, V., Moore, A. C., Noguera-Urbano, E. A., Buitrago-Pinilla, G. E., Velásquez-Tibatá, Anderson, R. P., & Blair, M. E. (2022). Operationalizing expert knowledge in species' range estimates using diverse data types. Frontiers of Biogeography. 14.2: e53589. http://dx.doi.org/10.21425/F5FBG53589
  15. Peterson, A. T., Aiello-Lammens, M. E., Amatulli, G., Anderson, R. P., Cobos, M. E., Diniz-Filho, J. A. F., Escobar, L. E., Feng, X., Franklin, J., Gadelha Jr., L. M. R., Georges, D., Guéguen, M., Gueta, T., Ingenloff, K., Jarvie, S., Jiménez, L., Karger, D. N., Kass, J. M., Kearney, M. R., Loyola, R., Machado-Stredel, F., Martínez-Meyer, E., Merow, C., Mondelli, M. L., Mortara, S. B., Muscarella, R., Myers, C. E., Naimi, B., Noesgaard, D., Ondo, I., Osorio-Olvera, L., Owens, H. L., Pearson, R., Pinilla-Buitrago, G. E., Sánchez-Tapia, A., Saupe, E. E., Thuiller, W., Varela, S., Warren, D. L., Wieczorek, J., Yates, K., Zhu, G., Zuquim, G., & Zurell, D. (2022). ENM2020: A free online course and set of resources on modeling species niches and distributions. Biodiversity Informatics, 17: 1-5. https://doi.org/10.17161/bi.v17i.15016
  16. Kass, J. M., Takashina, N., Friedman, N. R., Kusumoto, B., & Blair, M. E. (2022). Idea paper: Improving forecasts of community composition with lightweight biodiversity monitoring across ecological and anthropogenic disturbance gradients. Ecological Research, 37: 466 - 470. https://doi.org/10.1111/1440-1703.12294; open-access preprint: https://doi.org/10.32942/osf.io/mxg6q
    17. 2021
  17. Owens, H. L., Merow, C., Maitner, B., Kass, J. M., Barve, V., & Guralnick, R. (2021). occCite: Tools for querying and managing large biodiversity occurrence datasets. Ecography, 44: 1228 – 1235. https://doi.org/10.1111/ecog.05618
  18. Hu, Z. M., Zhang, Q. S., Zhang, J., Kass, J. M., Mammola, S., Fresia, P., Draisma, S. G. A., Assis, J., Jueterbock, A., Yokota, M., & Zhang, Z. (2021). Intraspecific genetic variation matters when predicting seagrass distribution under climate change. Molecular Ecology, 30: 3840 – 3855. https://doi.org/10.1111/mec.15996
  19. Kass, J. M., Muscarella, R., Galante, P. J., Bohl, C., Pinilla-Buitrago, G. E., Boria, R. A., Soley‐Guardia, M., & Anderson, R. P. (2021). ENMeval 2.0: redesigned for customizable and reproducible modeling of species’ niches and distributions. Methods in Ecology and Evolution, 12: 1602 – 1608. https://doi.org/10.1111/2041-210X.13628
  20. Gavrutenko, M., Gerstner, B. E., Kass. J. M., Goodman, S., & Anderson, R. P. (2021). Temporal matching of occurrence localities and forest cover data helps improve range estimates and predict climate change vulnerabilities. Global Ecology and Conservation, 27: e01569. https://doi.org/10.1016/j.gecco.2021.e01569
  21. Zhang, Z., Kass, J. M., Mammola, S., Koizumi, I., Li, X., Tanaka, K., Ikeda, K., Suzuki, T., Yokota, M., & Usio, N. (2021). Lineage‐level distribution models lead to more realistic climate change predictions for a threatened crayfish. Diversity and Distributions, 27: 684 – 695. https://doi.org/10.1111/ddi.13225
  22. Kass, J. M., Meenan, S. I., Tinoco, N., Burneo, S. F., & Anderson, R. P. (2021). Improving area of occupancy estimates for parapatric species using distribution models and support vector machines. Ecological Applications, 31: e02228. https://doi.org/10.1002/eap.2228
  23. Ryo, M., Angelov, B., Mammola, S., Kass, J. M., Benito, B. M., & Hartig, F. (2021). Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models. Ecography, 44: 199-205. https://doi.org/10.1111/ecog.05360
    24. 2020
  24. Kass, J. M., Tingley, M. W., Tetsuya, T., & Koike, F. (2020). Co-occurrence of invasive and native carnivorans affects occupancy patterns across environmental gradients. Biological Invasions, 22: 2251 – 2266. https://doi.org/10.1007/s10530-020-02254-0
  25. Kass, J. M., Anderson, R. P., Espinosa‐Lucas, A., Juárez‐Jaimes, V., Martínez‐Salas, E., Botello, F., Taverna, G., Flores-Martínez, J. J., & Sánchez‐Cordero, V. (2020). Biotic predictors with phenological information improve range estimates for migrating monarch butterflies in Mexico. Ecography, 43(3), 341-352. Editor's Choice. https://doi.org/10.1111/ecog.04886
    26. 2019
  26. Merow, C., Maitner, B. S., Owens, H. L., Kass, J. M., Enquist, B. J., Jetz, W., & Guralnick, R. (2019). Species' range model metadata standards: RMMS. Global Ecology and Biogeography, 28(12), 1912-1924. https://doi.org/10.1111/geb.12993
  27. Bohl, C. L., Kass, J. M., & Anderson, R. P. (2019). A new null model approach to quantify performance and significance for ecological niche models of species distributions. Journal of Biogeography, 46(6), 1101-1111. Editor's Choice. https://doi.org/10.1111/jbi.13573
  28. Reid, B. N., Kass, J. M., Wollney, S., Jensen, E. L., Russello, M. A., Viola, E. M., Pantophlet, J., Iverson, J. B., Peery, M. Z., Raxworthy, C. J., & Naro-Maciel, E. (2019). Disentangling the genetic effects of refugial isolation and range expansion in a trans-continentally distributed species. Heredity, 122(4), 441-457. https://doi.org/10.1038/s41437-018-0135-5
    29. 2018
  29. Kass, J. M., Vilela, B., Aiello‐Lammens, M. E., Muscarella, R., Merow, C., & Anderson, R. P. (2018). Wallace: A flexible platform for reproducible modeling of species niches and distributions built for community expansion. Methods in Ecology and Evolution, 9(4), 1151-1156. https://doi.org/10.1111/2041-210X.12945
  30. Gerstner, B. E., Kass, J. M., Kays, R., Helgen, K. M., & Anderson, R. P. (2018). Revised distributional estimates for the recently discovered olinguito (Bassaricyon neblina), with comments on natural and taxonomic history. Journal of Mammalogy, 99(2), 321-332. https://doi.org/10.1093/jmammal/gyy012
  31. Guevara, L., Gerstner, B. E., Kass, J. M., & Anderson, R. P. (2018). Toward ecologically realistic predictions of species distributions: A cross‐time example from tropical montane cloud forests. Global Change Biology, 24(4), 1511-1522. https://doi.org/10.1111/gcb.13992
    32. 2014
  32. Muscarella, R., Galante, P. J., Soley‐Guardia, M., Boria, R. A., Kass, J. M., Uriarte, M., & Anderson, R. P. (2014). ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models. Methods in Ecology and Evolution, 5(11), 1198-1205. https://doi.org/10.1111/2041-210X.12261
  33. Klosterhaus, S., McKee, L. J., Yee, D., Kass, J. M., & Wong, A. (2014). Polychlorinated biphenyls in the exterior caulk of San Francisco Bay Area buildings, California, USA. Environment International, 66, 38-43. https://doi.org/10.1016/j.envint.2014.01.008
    34. 2012
  34. Olson, D., DellaSala, D. A., Noss, R. F., Strittholt, J. R., Kass, J., Koopman, M. E., & Allnutt, T. F. (2012). Climate change refugia for biodiversity in the Klamath-Siskiyou ecoregion. Natural Areas Journal, 32(1), 65-74. https://doi.org/10.3375/043.032.0108

Academic Media and Blogs

Kass, J. M., Guénard, B., Agavekar, G., Krapf, P., Trager, J. (2022, September 21). The first high-resolution global map of ant biodiversity and estimates of where future sampling could yield undiscovered species. Myrmecological News Blog. https://blog.myrmecologicalnews.org/2022/09/21/the-first-high-resolution-global-map-of-ant-biodiversity-and-estimates-of-where-future-sampling-could-yield-undiscovered-species/

Kass, J. M., Meenan, S. I., Tinoco, N., Burneo, S. F., & Anderson, R. P. (2021, January 13). Improving Area of Occupancy Estimates for Parapatric Species Using Distribution Models and Support Vector Machines. Bulletin of the Ecological Society of America, 102:e01813. https://doi.org/10.1002/bes2.1813

Kass, J. M., Juárez-Jaimes, Flores-Martínez, J. J., Sánchez-Cordero, V. (2020, June 30). New range estimates for migrating monarch butterflies in Mexico: implementing and interpreting biotic variables and future conservation applications. Ecography Blog. https://www.ecography.org/blog/new-range-estimates-migrating-monarch-butterflies-mexico-implementing-and-interpreting-biotic

Kass, J. M., Aiello‐Lammens, M. E., Vilela, B., Muscarella, R., Merow, C., & Anderson, R. P. (2018, March 16). Code-Based Methods and the Problem of Accessibility. Methods in Ecology and Evolution Blog. https://methodsblog.com/2018/03/16/code-methods-accessibility/

Professional (non-academic)

Kass, J. M., Walker, J., Cayce, K., Senn, D., Williams, M. (2011). White Paper on Regional Landscape Characterization for Low Impact Development Site Suitability Analysis. Richmond, CA. San Francisco Estuary Institute. Report No.: SFEI-653.

Klosterhaus, S., Yee, D., Kass, J. M., Wong, A., McKee, L. (2011). PCBs in Caulk Project: Estimated Stock in Currently Standing Buildings in a San Francisco Bay Study Area and Releases to Stormwater during Renovation and Demolition. Richmond, CA. San Francisco Estuary Institute. Report No.: SFEI-651.