Jamie M. Kass

Jamie M. Kass

Associate Professor

Peer-reviewed

    2026
  1. Zhixin Z., Yan, Z., Molinos, J. G., Yu, G., Bede-Fazekas, A., Carlton, J., Kass, J. M., Kulp, S., MacIsaac, H., Mammola, S., Ding, L., Du, Y., Jin, L. , Li, X., Liao, W., Xin, Y., Lin, Q., Liu X. Global sea-level rise will create a new biological invasion front. Nature Ecology and Evolution. Accepted.
  2. Pinilla-Buitrago, G. E., Kass, J. M., Anderson, R. P. Extrapolation strategy matters when transferring ecological niche models to non-analog environments: new visualization tools for informed decisions. Ecography. Early View. https://doi.org/10.1002/ecog.08590
  3. Warren, D. L., Cassadei-Ferreira, A., Economo, E. P., Dinnage, R.; Kass, J. M. Incorporating sampling bias into ENM/SDM permutation tests: new methods and a case study on neotropical ants. Ecography. 2026(7), e08559. https://doi.org/10.1002/ecog.08559
  4. Qian, H., Wang, R., Kessler, M., Qian, S., Kass, J. M., Economo, E. P., Guénard, B. Phylogenetic diversity and dispersion of ants worldwide: Geographic variation and climatic correlates. Global Ecology and Biogeography, 35(5), e70243. https://doi.org/10.1111/geb.70243
  5. Liu, S., Xiao, B., Bede-Fazekas, Á., Mammola, S., García Molinos, J., Kass, J. M., Assis, J., Lin, C., Qu, J., Huang, H., Lin, Q., Zhang, Z. Acidification and deoxygenation matter in assessing redistribution of global cold-water coral biodiversity induced by climate change. Limnology and Oceanography, 71(3), e70351. https://doi.org/10.1002/lno.70351
  6. Griffith, J., Lord, J-M, Catchen, M., Arce-Plata, M. I.; Blanchet, F. G., Chandramohan, M., Diaz-Corzo, M. C., Gravel, D., Gutiérrez Montoya, C., Helfenstein, I., Hoban, S., Kass, J. M., Laikre, L., Larocque, G., Leigh, D. M., Leung, B., Millette, K., Mastretta-Yanes, A., Molina, B., Nguyen, D., Norman, K., Olaya Rodríguez, M. H., Pahls, S., Pereira, K., Peres-Neto, P., Poisot, T., Pollock, L., Rey-Velasco, J. C.; Rincon-Parra, V., Rousseu, F., Sánchez-Clavijo, L. M.; Schuman, M., Selmoni, O., da Silva, J., Suárez-Valencia, E., Surasinghe, T., Turak, E., Urbina, L. F., Valentin, S.; Wightman, N., Zuloaga, J., Londono Murcia, M. C., Gonzalez, A. (2026). BON in a Box: An Open and Collaborative Platform for Biodiversity Monitoring, Indicator Calculation, and Reporting. Bioscience. biaf189, https://doi.org/10.1093/biosci/biaf189
    7. 2025
  7. Kass, J. M. (2025). [Symposium mini review] Addressing Knowledge Shortfalls for Marine Biogeography with eDNA and Species Distribution Models. Journal of Integrated Field Science. 22, 26-28. (not peer-reviewed) https://www.doi.org/10.50974/0002006747
  8. López-Reyes, K., Kass, J. M., Yáñez-Arenas, C., Villalobos, F. (2025). Historical biogeography and climatic niche dynamics in spiny lizards of the genus Sceloporus (Squamata: Phrynosomatidae). Biological Journal of the Linnean Society, 146(3), blaf117. https://doi.org/10.1093/biolinnean/blaf117
  9. Adiwira, H., Yasunaka, S., Kass, J. M., Açıkbaş, A. H. O., Adiningsih, S., Gairin, E., Ilham, H. B. C., Lahcene, E., Li, Y., Nishihira, G., Peñalver-Pereira, P. Sie, F. M. P., Ames, C. L., Armitage, D., Brännström, Å., Dieckmann, U., Fujii, T., Husnik, F., Kawamiya, M., Masuda, T., Plessy, C., Sallan, L. Shimada, T., Smith, S. L., Strutton, P. G., Amedo-Repollo, C. L., Wirasatriya, A., Suga, T. (2025). Pathways to an integrated understanding of marine environments and ecosystems in the Asia-Pacific Region. Frontiers in Marine Science. 12, 1680145. https://doi.org/10.3389/fmars.2025.1680145
  10. Zhang, Z., Bede-Fazekas, Á., García Molinos, J., Mammola, S., Kass, J. M., Qu, J., Oeser, J., Yuan, S., Zhang, C., Gu, J., Ding, L., Lin, Q. (2025). Integrating expert range maps and opportunistic occurrence records of marine fish species in range estimates. Conservation Biology. Early View. https://doi.org/10.1111/cobi.70154
  11. Takeuchi, Y., Végh, L., Noda, H., Böttcher, K., Vihervaara, P., Kass, J. M., Hama, I., Saito, Y. (2025). National‐scale terrestrial biodiversity and ecosystem monitoring with essential biodiversity variables in Japan and Finland. Ecological Research. 40(6), e70011. https://doi.org/10.1111/1440-1703.70011
  12. Warren, D. L., Baumbach, L., Kass, J. M., Voskamp, A. (2025). "Uncertainty in Ecological Models". In: Mearns, L.O., Forest, C.E., Fowler, H.J., Lempert, R., Wilby, R.L. (eds) Uncertainty in Climate Change Research. Springer, Cham. pp. 81-92. https://doi.org/10.1007/978-3-031-85542-9_8
  13. Zurápiti, Y., Kass, J. M., Guénard, B., & Economo, E. P. (2025). Forecasting alien species establishment and source regions: quantitative assessment of potential ant invasions in Japan. Ecological Applications, 35(5), e70071. https://doi.org/10.1002/eap.70071
  14. Fujioka, H., Mizumoto, N., & Kass, J. M. (2025). 日本生態・進化英語セミナー（JEEES）の発足：国内での国際的な科学交流と人材育成の場を目指して (Japan Eco-Evo English Seminar (JEEES): A platform for international science exchange and professional development in Japan). Japanese Journal of Ecology. 75, 119-126. https://doi.org/10.18960/seitai.2402
  15. Ramirez, B. R., Kass, J. M., Zellmer, A. J., Hund, A. K. & Scordato, E. S. C. (2025). Long-term human land-Use change throughout Southeast Asia reshapes the distribution of suitable habitat for a human-commensal bird species. Journal of Biogeography, 52, e15123. https://doi.org/10.1111/jbi.15123
  16. 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, 39(4), e70015. https://doi.org/10.1111/cobi.70015
  17. 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
  18. 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
    19. 2024
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
    24. Press Releases: Tohoku University (general), Tohoku University Graduate School of Life Sciences
  24. Suárez-Atilano, M., Pacheco-Sierra, G., Vázquez-Domínguez, E., Kass, J. M., Paz, A., Pérez-Alquicira, J. (2024). Genomic and environmental insights and conservation challenges for two hybridizing iconic crocodile species across Mexico: Crocodylus acutus and C. moreletii. Animal Conservation. 27, 308-323. https://doi.org/10.1111/acv.12907
    25. 2023
  25. 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
    26. Press Releases: OIST
  26. 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
  27. 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
  28. 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
  29. 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, 50, 503-514. https://doi.org/10.1111/jbi.14546
  30. 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
  31. 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
    32. 2022
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
    40. 2021
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
    47. 2020
  47. 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
  48. 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
    49. 2019
  49. 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
  50. 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
  51. 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
    52. 2018
  52. 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
  53. 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
  54. 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
    55. 2014
  55. 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
  56. 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
    57. 2012
  57. 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.