Stemkovski, M., Clark-Wolf, K., Dee, L.E., Dobson, K.C., Felton, A.J., Gonçalves-Souza, T., Hooker, G., Hooten, M.B., Johnson, L.C., Osborse, B.B., Pinsky, M.L., Reich, P.B., Rollinson, C.R., Song, Y., Ward, N.K., Zhu, K., Adler, P.B. (2026). Primary productivity declines when species composition and climate are mismatched. bioRxiv, 2026-05. https://doi.org/10.64898/2026.05.20.726661
Stemkovski, M., Cortez, M.H., Bernhardt, J. R., Bladen, K.K., Bradford, J. B., Clark-Wolf, K., Evans, M. E. K., Johnson, L. C., Lynch, A. J., Pastore M. A., Pinsky, M. L., Rollinson, C. R., Selmoni, O., Walker, A. P., Williams, J. W., Adler, P. B. (2026) Linking Community‐Climate Disequilibrium to Ecosystem Function. Ecology Letters, 29(1), e70314. https://doi.org/10.1111/ele.70314
Dobson, K. C., Zhu, K., Song, Y., Zhu, J., Adler, P. B., Stemkovski, M., ... & Reich, P. B. (2026). A few key species drive community thermophilization under experimental warming. Proceedings of the National Academy of Sciences, 123(18), e2533434123. https://doi.org/10.1073/pnas.2533434123
Vahsen, M. L., Van Ee, J. J., Gamba, D., Maxwell, T. M., Pirtel, N., Romero, S. J., ... Stemkovski, M., ... & Adler, P. B. (2026). Eco‐evolutionary context modifies a destructive plant invader's response to climate. New Phytologist. https://doi.org/10.1111/nph.71329
Adler, P. B., Detto, M., Ellner, S. P., Gibbs, T. L., Gold, Z. J., Leonard, S. J., ... Stemkovski, M., ... & Levine, J. M. (2026). What Have We Learned From Empirical Applications of Modern Coexistence Theory?. Ecology letters, 29(6), e70404. https://doi.org/10.1111/ele.70404
Stemkovski, M., Bernhardt, J. R., Blonder, B. W., Bradford, J. B., Clark-Wolf, K., Dee, L. E., Evans, M. E. K., Iglesias, V., Johnson, L. C., Lynch, A. J., Malone, S. L., Osborne, B. B., Pastore M. A., Paterson, M., Pinsky, M. L., Rollinson, C. R., Selmoni, O., Venkiteswaran, J. J., Walker, A. P., Ward, N. K., Williams, J. W., Zarakas C. M., Adler, P. B. Ecological acclimation: a framework to integrate fast and slow responses to climate change. Funcational Ecology, 39(8), 1923-1939. https://doi.org/10.1111/1365-2435.70079
Evans, M. E., Adler, P. B., Angert, A. L., Dey, S. M., Girardin, M. P., Heilman, K. A., Klesse, S., Perret, D.L., Sax, D.F., Sheth, S.N., Stemkovski, M., & Williams, J. L. (2025). Reconsidering space-for-time substitution in climate change ecology. Nature Climate Change, 1-4. https://doi.org/10.1038/s41558-025-02392-0
Quinlan, G., Kazenel, M. R., Stemkovski, M., & Irwin, R. E. (2025). Shorter seasonal snow cover poses a risk to solitary bee populations in a mountainous ecosystem. Proceedings of the Royal Society B: Biological Sciences, 292(2061). https://doi.org/10.1098/rspb.2025.1887
Stemkovski, M., Fife, A., Stuart, R., & Pearse, W. D. (2024). Bee phenological distributions predicted by inferring vital rates. The American Naturalist, 204 (6), E115-E127. https://doi.org/10.1086/732763
Stemkovski, M., Dickson, R. G., Griffin, S. R., Inouye, B. D., Inouye, D. W., Pardee, G. L., Underwood, N., & Irwin, R. E. (2023). Skewness in bee and flower phenological distributions. Ecology, 104(1), 1–9. https://doi.org/10.1002/ecy.3890
Stemkovski, M., Bell, J. R., Ellwood, E. R., Inouye, B. D., Kobori, H., Lee, S. D., Lloyd-Evans, T., Bricmack, R. B., Templ, B., & Pearse, W. D. (2023). Disorder or a new order : How climate change affects phenological variability. Ecology, 103(1), 1–14. https://doi.org/10.1002/ecy.3846
Pearse, W. D., Stemkovski, M., Lee, B. R., Primack, R. B., & Lee, S. D. (2023). Consistent, linear phenological shifts across a century of observations in South Korea. New Phytologist. 239(3), 824-829. https://doi.org/10.1111/nph.18938
Felton, A. J., Shriver, R. K., Stemkovski, M., Bradford, J. B., Suding, K. N., & Adler, P. B. (2022). Climate disequilibrium dominates uncertainty in long‐term projections of primary productivity. Ecology Letters, 25(12), 2688-2698. https://doi.org/10.1111/ele.14132
Smith, T. P., Stemkovski, M., Koontz, A., & Pearse, W. D. (2022). AREAdata: A worldwide climate dataset averaged across spatial units at different scales through time. Data in Brief, 43, 108438. https://doi.org/10.1016/j.dib.2022.108438
Pardee, G. L., Griffin, S. R., Stemkovski, M., Harrison, T., Portman, Z. M., Kazenel, M. R., ... & Irwin, R. E. (2022). Life-history traits predict responses of wild bees to climate variation. Proceedings of the Royal Society B, 289(1973), 20212697. https://doi.org/10.1098/rspb.2021.2697
Lembrechts, J. J., van den Hoogen, J., Aalto, J., Ashcroft, M. B., De Frenne, P., Kemppinen, J., ... & Hik, D. S. (2022). Global maps of soil temperature. Global Change Biology, 28(9), 3110-3144. https://doi.org/10.1111/gcb.16060
Smith, T. P., Flaxman, S., Gallinat, A. S., Kinosian, S. P., Stemkovski, M., Unwin, H. J. T., ... & Pearse, W. D. (2021). Temperature and population density influence SARS-CoV-2 transmission in the absence of nonpharmaceutical interventions. Proceedings of the National Academy of Sciences, 118(25), e2019284118. https://doi.org/10.1073/pnas.2019284118
Stemkovski, M., Pearse, W. D., Griffin, S. R., Pardee, G. L., Gibbs, J., Griswold, T., Neff, J. L., Oram, R., Rightmyer, M. G., Sheffield, C. S., Wright, K., Inouye, B. D., Inouye, D. W., & Irwin, R. E. (2020). Bee phenology is predicted by climatic variation and functional traits. Ecology Letters, 23(11), 1589–1598. https://doi.org/10.1111/ele.13583
Lembrechts, J. J., Aalto, J., Ashcroft, M. B., De Frenne, P., Kopecký, M., Lenoir, J., ... & Rocha, A. (2020). SoilTemp: A global database of near‐surface temperature. Global Change Biology, 26(11), 6616-6629. https://doi.org/10.1111/gcb.15123
Banks, H. T., Collins, E., Flores, K., Pershad, P., Stemkovski, M., & Stephenson, L. (2017). Statistical error model comparison for logistic growth of green algae (Raphidocelis subcapitata). Applied Mathematics Letters, 64, 213-222. https://doi.org/10.1016/j.aml.2016.09.006
Stemkovski, M., Baraldi, R., Flores, K. B., & Banks, H. T. (2016). Validation of a mathematical model for green algae (Raphidocelis subcapitata) growth and implications for a coupled dynamical system with Daphnia magna. Applied Sciences, 6(5), 155. https://doi.org/10.3390/app6050155
Adoteye K., Banks H., Cross K., Eytcheson S., Flores K., LeBlanc G., Nguyen T., Ross C., Smith E., Stemkovski M., Stokely S. (2015) Statistical validation of structured population models for Daphnia magna. Mathematical Biosciences, 266, 73-84. https://doi.org/10.1016/j.mbs.2015.06.003