Peer-reviewed

  1. 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
  2. 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
  3. 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, 9: 1602 – 1608. https://doi.org/10.1111/2041-210X.13628
  4. 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
  5. Zhang, Z., Kass, J. M., Mammola, S., Koizumi, I., Xuecao, L., 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
  6. 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
  7. Ryo, M., Angelov, B., Mammola, S., Kass, J. M., Benito, B. M., & Hartig, F. (2020). Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models. Ecography, 44: 199-205. https://doi.org/10.1111/ecog.05360
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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., 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 [Blog post]. 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 [Blog post]. 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.