CIS Publications

The following list contains published peer-reviewed articles and major reports related to CIS Working Group research from July 2012-April 2019.

1. Alessa, L., Kliskey, A., Gamble, J., Fidel, M., Beaujean, G. and Gosz, J. (2016). The role of Indigenous science and local knowledge in integrated observing systems: moving toward adaptive capacity indices and early warning systems. Sustainability Science, 11 (1), 91-102.

2. Cenek, M., & Dahl, S.K. (2016). Geometry of behavioral spaces: A computational approach to analysis and understanding of agent based models and agent behaviors. Chaos: An Interdisciplinary Journal of Nonlinear Science, 26(11), 113107. doi:10.1063/1.4965982

3. Cenek, M., & Franklin, M. (2017). An adaptable agent-based model for guiding multi-species Pacific salmon fisheries management within a SES framework. Ecological Modelling, 360, 132-149. doi:10.1016/j.ecolmodel.2017.06.024

4. Cenek, M., & Franklin, M. (2018). Developing High Fidelity, Data Driven, Verified Agent Based Models of Coupled Socio-Ecological Systems of Alaska Fisheries. In L. Perez, E.-K. Kim, & R. Sengupta (Eds.), Agent-Based Models and Complexity Science in the Age of Geospatial Big Data (pp. 1-16): Springer.

5. Cenek, M., Franklin, M., Trammell, E. J., & Dahl, S. (2017, 18-21 Sept. 2017). How will the Kenai fisheries respond to changing environmental conditions: Scenario based studies of coupled socio-ecological systems dynamics using an agent-based model. Paper presented at the OCEANS–Anchorage, 2017, Anchorage, Alaska.

6. Cristóbal, J., Graham, P., Buchhorn, M., & Prakash, A. (2016). A new integrated high-latitude thermal laboratory for the characterization of land surface processes in Alaska’s arctic and boreal regions. Data, 1(2), 13.

7. Cristóbal, J., Jiménez-Muñoz, J., Prakash, A., Mattar, C., Skoković, D., & Sobrino, J. (2018). An Improved Single-Channel Method to Retrieve Land Surface Temperature from the Landsat-8 Thermal Band. Remote Sensing, 10(3), 431. doi:10.3390/rs10030431

8. Cristóbal, J., Abermann, J., Prakash, A., Anderson, M. C., Kustas, W. P., Hain, C., Euskirchen, E., Lund, M., Friborg, T., Westergaard-Neilsen, A. and B. Hansen. (2018). Towards the estimation of the surface energy balance in the Arctic using a remote sensing thermal-based model. EGU General Assembly Conference Abstracts, 20, 14926.

9. Grunblatt, J., & Alessa, L. (2017). Role of perception in determining adaptive capacity: communities adapting to environmental change. Sustainability Science, 12(1), 3-13.

10. Jochum, K., Kliskey, A., Hundertmark, K. & Alessa, L. (2014). Integrating complexity in the management of human-wildlife encounters. Global Environmental Change, 26, 73-86.

11. Johnson, N., Alessa, L., Behe, C., Danielsen, F., Gearhead, S., Gofman, V., Kliskey, A., Krummel, E., Lynch, A., Mustonen, T., Pulsifer, P. & Svoboda, M. (2015). The contributions of community-based monitoring and traditional knowledge to Arctic observing networks: Reflections on the state of the field. Arctic, 68(5).

12. Kliskey, A., Alessa, L., Wandersee, S., Williams, P., Trammell, J., Powell, J., Grunblatt, J., & Wipfli, M. (2016). A science of integration: frameworks, processes, and products in a place-based, integrative study. Sustainability Science, 1-11.

13. Kliskey, A., Williams, P., Alessa, L., Abatzoglou, J., Powell, J., McCarthy, M., Trammell, J and D. Rinella. (2018). An integrated dataset for stakeholder perceptions of environmental change and instrumented measures of change. Data in Brief, 21, 1721-1723. DOI: 10.1016/j.dib.2018.10.112

14. McNabb, R.W., Womble, J.N., Prakash, A., Gens, R., & Haselwimmer, C. E. (2016). Quantification and analysis of Icebergs in a tidewater glacier fjord using an object-based approach. Plos One, 11(11), e0164444.

15. Pundsack, J., Bell, R., Broderson, D., Fox, G.C., Dozier, J., Helly, J., Li, W., Morin, P., Parsons, M., Roberts, A., Tweedie, C., & Yang, C. (2013). Report on Workshop on Cyberinfrastructure for Polar Sciences. St. Paul, Minnesota. Minneapolis: University of Minnesota Polar Geospatial Center.

16. Smith, A.M.S., Kolden, C.A., Paveglio, T.B., Cochrane, M.A., Bowman, D.M.J.S., Moritz, M.A., Kliskey, A.D., Alessa, L., Hudak, A.T., Hoffman, C.M., Lutz, J.A., Queen, L.P., Goetz, S.J., Higuera, P.E., Boschetti, L., Flannigan, M., Yedinak, K.M., Watts, A.C., Strand, E.K., van Wagtendonk, J.W., Anderson, J.W., Stocks, B.J. and Abatzoglou, J.T. (2016). The Science of Firescapes: Achieving Fire-Resilient Communities. Bioscience, 66 (2), 130-146.

17. Stevenson, K., Alessa, L. & Kliskey, A. (2014). Sustainable agriculture for Alaska and the circumpolar North: Part I. Development and status of northern agriculture and food security. Arctic, 67, 271-295.

18. Stevenson, K., Rader, H., Alessa, L., Kliskey, A., Pantoja, A., Clark, M. & Smeenk, J. (2014). Sustainable agriculture for Alaska and the circumpolar North: Part II. Environmental, geophysical, biological and socioeconomic challenges. Arctic, 67, 296-315.

19. Stevenson, K., Alessa, L., Kliskey, A., Rader, H., Pantoja, A., Clark, M. & Smeenk, J. (2014). Sustainable agriculture for Alaska and the circumpolar North: Part III. Meeting the challenges of high-latitude farming. Arctic, 67, 320-339.

20. Williams, P., Alessa, L., Abatzoglou, J.T., Kliskey, A., Witmer, F., Lee, O., . . . Venema, R. (2018). Community-based observing networks and systems in the Arctic: Human perceptions of environmental change and instrument-derived data. Regional Environmental Change, 18(2), 547-559. doi:10.1007/s10113-017-1220-7

21. Williams, P., Alessa, L., Kliskey, A., Rinella, D., Trammell, J., Powell, J., McCarthy, M., and John Abatzoglou. (2018). The role of perceptions versus instrumented data of environmental change: Responding to changing environments in Alaska. Environmental Science and Policy, 90, 110-121. https://doi.org/10.1016/j.envsci.2018.09.018

22. Williams, P., Kliskey, A., McCarthy, M., Lammers, R., Alessa, L. and John Abatzoglou. (2019). Using the Arctic water resources vulnerability index in assessing and responding to environmental change in Alaskan communities. Climate Risk Management, 23, 19-31. https://doi.org/10.1016/j.crm.2018.09.001