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

Alexej Siren

Research Scientist III
Phone: (603) 862-4047
Office: 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

  • Clark, J., Sirén, A. P. K., Loesberg, J., & Morelli, T. L. (2025). SiMPL Wildlife Magnets: A Camera Trap Tool for Detecting All Creatures Great and Small.. Ecol Evol, 15(12), e72342. doi:10.1002/ece3.72342

  • Clarfeld, L. A., Gieder, K. D., Fuller, A., Miao, Z., Sirén, A. P. K., Webb, S. M., . . . Donovan, T. M. (2025). DeepFaune New England: A Species Classification Model for Trail Camera Images in Northeastern North America.. Ecol Evol, 15(11), e72174. doi:10.1002/ece3.72174

  • Sirén, A. P. K., Sullivan, F., Cliché, R., Goetz, J., Prout, L. S., Kilborn, J., . . . Palace, M. (2025). Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR. Wildlife Biology. doi:10.1002/wlb3.01529

  • Pastore, M. A., Nelson, S. J., Burakowski, E. A., Contosta, A. R., D'Amato, A. W., Garlick, S., . . . Weiskittel, A. (2025). Snow refugia: Managing temperate forest canopies to maintain winter conditions. Ecosphere, 16(7). doi:10.1002/ecs2.70302

  • Sirén, A. P. K., Bieber, N. R., & Ravana, K. (2025). Deep snow and human influence affect survival of an ungulate at the northern part of its range. Wildlife Research, 52(6). doi:10.1071/wr25008

  • Cove, M. V., Kays, R., Bontrager, H., Bresnan, C., Lasky, M., Frerichs, T., . . . McShea, A. J. (2021). SNAPSHOT USA 2019: a coordinated national camera trap survey of the United States. ECOLOGY, 102(6). doi:10.1002/ecy.3353

  • 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

  • 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