Color photo of Alexej Siren, EOS Earth Systems Research Center scientist.

Alexej Siren

Research Scientist III
Phone: (603) 862-4047
Office: UNH Earth Systems Research Centers, Morse Hall, Durham, NH 03824

The ongoing and projected threat from global change poses unique challenges to wildlife populations, species, and ecosystems. My research leverages biogeographical and ecological theory and novel field and quantitative methods to address these challenges and better understand natural phenomena. I enjoy working with a diversity of scientists, including climate modelers, ecohydrologists, forest ecologists, and natural resource managers to ensure that knowledge is co-produced and utilized in a meaningful and impactful way. I am currently studying the impact of climate change on moose (Alces alces) populations in the northeastern US, with a focus on identifying cost-effective monitoring tools for natural resource agencies. Ongoing projects include 1) identifying and predicting forest structure attributes that support early- and late-successional species, 2) developing efficient and robust tools to monitor climate and wildlife populations, 3) scaling up regional camera trap efforts to establish a continental network, 4) studying mechanisms that influence population dynamics across species’ ranges, and 5) identifying the effects of adaptive silvicultural treatments for climate change on wildlife populations. My past research includes studying anthropogenic disturbance, namely wind farm development, on wildlife populations with a focus on forest-sensitive species.

Research Interests

  • Animal Ecology
  • Climate change
  • Climate Change - Impacts
  • Ecology
  • Environmental Geography
  • Population Biology
  • Terrestrial Ecology
  • Wildlife
  • Wildlife & Habitat Management/Conservation

Selected Publications

  • Sirén, A. P. K., Hallworth, M. T., Kilborn, J. R., Bernier, C. A., Fortin, N. L., Geider, K. D., . . . Wilson, T. L. (2024). Monitoring Animal Populations With Cameras Using Open, Multistate, N-Mixture Models.. Ecol Evol, 14(12), e70583. doi:10.1002/ece3.70583

  • Hallworth, M. T., Sirén, A. P. K., DeLuca, W. V., Duclos, T. R., McFarland, K. P., Hill, J. M., . . . Morelli, T. L. (2024). Boom and bust: the effects of masting on seed predator range dynamics and trophic cascades. Diversity and Distributions, 30(8). doi:10.1111/ddi.13861

  • Berube, J. A., Sirén, A. P. K., Simpson, B. D., Klingler, K. B., & Wilson, T. L. (2024). Monitoring questing winter tick abundance on traditional moose hunting lands. The Journal of Wildlife Management, 88(6). doi:10.1002/jwmg.22630

  • Sirén, A. P. K., Berube, J., Clarfeld, L. A., Sullivan, C. F., Simpson, B., & Wilson, T. L. (2024). Accounting for missing ticks: Use (or lack thereof) of hierarchical models in tick ecology studies.. Ticks Tick Borne Dis, 15(4), 102342. doi:10.1016/j.ttbdis.2024.102342

  • Sirén, A., Zimova, M., Sutherland, C. S., Finn, J. T., Kilborn, J. R., Cliché, R. M., . . . Lyn Morelli, T. (2023). A Great Escape: resource availability and density‐dependence shape population dynamics along trailing range edges. Ecography, 2023(8). doi:10.1111/ecog.06633

  • Siren, A. P. K., & Morelli, T. L. (2020). Interactive range-limit theory (iRLT): An extension for predicting range shifts. JOURNAL OF ANIMAL ECOLOGY, 89(4), 940-954. doi:10.1111/1365-2656.13150

  • Siren, A. P. K., Somos-Valenzuela, M., Callahan, C., Kilborn, J. R., Duclos, T., Tragert, C., & Morelli, T. L. (2018). Looking beyond wildlife: using remote cameras to evaluate accuracy of gridded snow data. REMOTE SENSING IN ECOLOGY AND CONSERVATION, 4(4), 375-386. doi:10.1002/rse2.85

  • Linden, D. W., Siren, A. P. K., & Pekins, P. J. (2018). Integrating telemetry data into spatial capture-recapture modifies inferences on multi-scale resource selection. ECOSPHERE, 9(4). doi:10.1002/ecs2.2203

  • Reed, G. C., Litvaitis, J. A., Ellingwood, M., Tate, P., Broman, D. J. A., Siren, A. P. K., & Carroll, R. P. (2017). Describing habitat suitability of bobcats (Lynx rufus) using several sources of information obtained at multiple spatial scales. MAMMALIAN BIOLOGY, 82, 17-26. doi:10.1016/j.mambio.2016.10.002

  • Siren, A. P. K., Pekins, P. J., Abdu, P. L., & Ducey, M. J. (2016). Identification and Density Estimation of American Martens (Martes americana) Using a Novel Camera-Trap Method. DIVERSITY-BASEL, 8(1). doi:10.3390/d8010003

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  • Most Cited Publications