Academic Appointments

  • Basic Life Science Research Associate, Biology

All Publications

  • Lessons for conservation from beneath the pavement. Conservation biology : the journal of the Society for Conservation Biology Mychajliw, A. M., Ellwood, E. R., Alagona, P. S., Anderson, R. S., Balisi, M. A., Biber, E., Brown, J. L., George, J., Hendy, A. J., Higgins, L., Hofman, C. A., Leger, A., Ordenana, M. A., Pauly, G. B., Putman, B. J., Randall, J. M., Riley, S. P., Shultz, A. J., Stegner, M. A., Wake, T. A., Lindsey, E. L. 2022: e13983

    View details for DOI 10.1111/cobi.13983

    View details for PubMedID 36069058

  • Editorial Commentary: Recovery After Anterior Cruciate Ligament Reconstruction Is Optimal About 85% of the Time. Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Stegner, M. A., Gilmer, B. B. 2022; 38 (8): 2491-2492


    Recovery after anterior cruciate ligament reconstruction is optimal about 85% of the time. Revision surgery, psychiatric history, preoperative chronic knee pain, and subsequent knee injury are associated with suboptimal recovery patterns. Sophisticated growth models can analyze patient recovery trajectories. Growth mixture models (GMM) treat a whole cohort as a single group and characterize that group over time, for example, over the course of knee injury and subsequent recovery after surgical reconstruction. Latent class growth analysis is a subcategory of GMM that sorts the cohort into subgroups and allows analysis regarding groups having, for example, standard, delayed, and suboptimal recoveries. This theoretically allows a physician to anticipate which patients are likely to follow a suboptimal trajectory of recovery, to track that recovery based on the model, and to form a treatment plan accordingly.

    View details for DOI 10.1016/j.arthro.2022.05.001

    View details for PubMedID 35940743

  • Assessing the reliability of raptor pellets in recording local small mammal diversity Quaternary Research Viteri, M. 2021

    View details for DOI 10.1017/qua.2021.59

  • Inferring critical transitions in paleoecological time series with irregular sampling and variable time-averaging QUATERNARY SCIENCE REVIEWS Stegner, M., Ratajczak, Z., Carpenter, S. R., Williams, J. W. 2019; 207: 49–63
  • Post-fire vegetation and climate dynamics in low-elevation forests over the last three millennia in Yellowstone National Park. Ecography Stegner, M. A., Turner, M. G., Iglesias, V., Whitlock, C. 2019; 41

    View details for DOI 10.1111/ecog.00119

  • Abrupt Change in Ecological Systems: Inference and Diagnosis TRENDS IN ECOLOGY & EVOLUTION Ratajczak, Z., Carpenter, S. R., Ives, A. R., Kucharik, C. J., Ramiadantsoa, T., Stegner, M., Williams, J. W., Zhang, J., Turner, M. G. 2018; 33 (7): 513–26


    Abrupt ecological changes are, by definition, those that occur over short periods of time relative to typical rates of change for a given ecosystem. The potential for such changes is growing due to anthropogenic pressures, which challenges the resilience of societies and ecosystems. Abrupt ecological changes are difficult to diagnose because they can arise from a variety of circumstances, including rapid changes in external drivers (e.g., climate, or resource extraction), nonlinear responses to gradual changes in drivers, and interactions among multiple drivers and disturbances. We synthesize strategies for identifying causes of abrupt ecological change and highlight instances where abrupt changes are likely. Diagnosing abrupt changes and inferring causation are increasingly important as society seek to adapt to rapid, multifaceted environmental changes.

    View details for DOI 10.1016/j.tree.2018.04.013

    View details for Web of Science ID 000438464300010

    View details for PubMedID 29784428

  • Can protected areas really maintain mammalian diversity? Insights from a nestedness analysis of the Colorado Plateau BIOLOGICAL CONSERVATION Stegner, M., Karp, D. S., Rominger, A. J., Hadly, E. A. 2017; 209: 546–53
  • Merging paleobiology with conservation biology to guide the future of terrestrial ecosystems SCIENCE Barnosky, A. D., Hadly, E. A., Gonzalez, P., Head, J., Polly, P. D., Lawing, A. M., Eronen, J. T., Ackerly, D. D., Alex, K., Biber, E., Blois, J., Brashares, J., Ceballos, G., Davis, E., Dietl, G. P., Dirzo, R., Doremus, H., Fortelius, M., Greene, H. W., Hellmann, J., Hickler, T., Jackson, S. T., Kemp, M., Koch, P. L., Kremen, C., Lindsey, E. L., Looy, C., Marshall, C. R., Mendenhall, C., Mulch, A., Mychajliw, A. M., Nowak, C., Ramakrishnan, U., Schnitzler, J., Das Shrestha, K., Solari, K., Stegner, L., Stegner, M. A., Stenseth, N. C., Wake, M. H., Zhang, Z. 2017; 355 (6325): 594-?


    Conservation of species and ecosystems is increasingly difficult because anthropogenic impacts are pervasive and accelerating. Under this rapid global change, maximizing conservation success requires a paradigm shift from maintaining ecosystems in idealized past states toward facilitating their adaptive and functional capacities, even as species ebb and flow individually. Developing effective strategies under this new paradigm will require deeper understanding of the long-term dynamics that govern ecosystem persistence and reconciliation of conflicts among approaches to conserving historical versus novel ecosystems. Integrating emerging information from conservation biology, paleobiology, and the Earth sciences is an important step forward on the path to success. Maintaining nature in all its aspects will also entail immediately addressing the overarching threats of growing human population, overconsumption, pollution, and climate change.

    View details for DOI 10.1126/science.aah4787

    View details for PubMedID 28183912

  • Stasis and change in Holocene small mammal diversity during a period of aridification in southeastern Utah HOLOCENE Stegner, M. 2016; 26 (7): 1005–19