Peer-reviewed


    2025
  1. Zhang, Z., Kass, J. M., Bede-Fazekas, Á., Mammola, S., Qu, J., Molinos, J. G., Gu, J., Huang, H., Qu, M., Yue, Y., Qin, G., & Lin, Q. (2025). Differences in predictions of marine species distribution models based on expert maps and opportunistic occurrences. Conservation Biology, e70015. https://doi.org/10.1111/cobi.70015
  2. Kass, J. M., Smith, A. B., Warren, D. L., Vignali, S., Schmitt, S., Aiello-Lammens, M. E., Arlé, E., Márcia Barbosa, A., Broennimann, O., Cobos, M. E., Guéguen, M., Guisan, A., Merow, C., Naimi, B., Nobis, M. P., Ondo, I., Osorio-Olvera, L., Owens, H. L., Pinilla-Buitrago, G. E., Sánchez-Tapia, A., Thuiller, W., Valavi, R., Velazco, S. J. E., Zizka, A. & Zurell, D. (2025). Achieving higher standards in species distribution modeling by leveraging the diversity of available software. Ecography 2025(2), e07346. https://doi.org/10.1111/ecog.07346
  3. Suzuki, H., Ichiyanagi, H., Kass, J. M. & Urabe, J. (2025). Differences in factors determining taxon-based and trait-based community structures: a field test using zooplankton. Limnology and Oceanography, 70(1), 113-127. https://doi.org/10.1002/lno.12744

  4. 2024
  5. Blair, M. E., Noguera-Urbano, E. A., Ochoa-Quintero, J. M., Paz, A., Lopez-Gallego, C., Echeverry-Galvis, M. Á., Zuloaga, J., Rodríguez, P., Lemus-Mejia, L., Ersts, P., López-Lozano, D. F., Aiello-Lammens, M. E., Arango, H. M., Buitrago, L., Chang Triguero, S., Cruz-Rodríguez, C. A., Díaz-Nieto, J. F., Escobar, D., Grisales-Betancur, V., Johnson, B. A., Kass, J. M., Londoño-Murcia, M. C., Merow, C., Muñoz-Rodríguez, C. J., Olaya-Rodríguez, M. H., & Anderson, R. P. (2024). Software codesign between end users and developers to enhance utility for biodiversity conservation. BioScience, biae097. https://doi.org/10.1093/biosci/biae097
  6. Maitner, B., Santos Andrade, P. E., Lei, L., Kass, J., Owens, H. L., Barbosa, G. C. G., Boyle, B., Castorena, M., Enquist, B. J., Feng, X., Park, D. S., Paz, A., Pinilla-Buitrago, G., Merow, C., & Wilson, A. (2024). Code sharing in ecology and evolution increases citation rates but remains uncommon. Ecology and Evolution, 14, e70030. https://doi.org/10.1002/ece3.70030
  7. Andrade‐Silva, J., Baccaro, F. B., Prado, L. P., Guénard, B., Kass, J. M., Warren, D. L., ... & Silva, R. R. (2024). Common ant species dominate morphospace: unraveling the morphological diversity in the Brazilian Amazon Basin. Ecography, e07121. https://doi.org/10.1111/ecog.07121
  8. Wang, R., Kass, J. M., Chaudhary, C., Economo, E. P., & Guénard, B. (2024). Global biogeographic regions for ants have complex relationships with those for plants and tetrapods. Nature Communications, 15(1), 5641. https://doi.org/10.1038/s41467-024-49918-2
  9. Kass, J. M., Fukaya, K., Thuiller, W., & Mori, A. S. (2024). Biodiversity modeling advances will improve predictions of nature’s contributions to people. Trends in Ecology and Evolution, 39(4), 338–348. https://doi.org/10.1016/j.tree.2023.10.011
  10. Press Releases: Tohoku University (general), Tohoku University Graduate School of Life Sciences
    2023
  11. 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. Proceedings of the Royal Society B: Biological Sciences, 290, 20231185. https://doi.org/10.1098/rspb.2023.1185
  12. Press Releases: OIST
  13. 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. Early View. https://doi.org/10.1111/acv.12907
  14. 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, 14, 5276. https://doi.org/10.1038/s41467-023-40936-0
  15. 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, 7, 626-627. https://doi.org/10.1038/s41559-023-02008-w
  16. 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
  17. 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
  18. 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, 48: 209-225. https://doi.org/10.1111/een.13216
  19. 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

  20. 2022
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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

  29. 2021
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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

  37. 2020
  38. 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
  39. 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

  40. 2019
  41. 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
  42. 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
  43. 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

  44. 2018
  45. 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
  46. 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
  47. 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

  48. 2014
  49. 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
  50. 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

  51. 2012
  52. 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.