Vegetation phenology can be captured with digital repeat photography and linked to variability of root nutrition in Hedysarum alpinum

Applied Vegetation Science

Volumn 16, Issue 2, 2013, Pages 317-324

  Nijland, W ^a   Coops, N C ^a   Coogan, S C P ^b   Bater, C W ^a   Wulder, M A ^c   Nielsen, S E ^b   Mcdermid, G ^d   Stenhouse, G B ^e  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

^c PACIFIC FORESTRY CENTRE   (Canada)

^d UNIVERSITY OF CALGARY   (Canada)

^e Foothills Research Institute   (Canada)

Author keywords

2G RBi; Food quality; Grizzly bear; Near sensing; Repeat photography; Root protein

Indexed keywords

HEDYSARUM ALPINUM; URSUS ARCTOS;

EID: 84874736655     PISSN: 14022001     EISSN: 1654109X     Source Type: Journal    
DOI: 10.1111/avsc.12000     Document Type: Article

References (36)

1. Ahrends, H.E., Brügger, R., Stöckli, R., Schenk, J., Michna, P., Jeanneret, F., Wanner, H. & Eugster, W. 2008. Quantitative phenological observations of a mixed beech forest in Northern Switzerland with digital photography. Journal of Geophysical Research 113: 1-11.
2. Bater, C., Coops, N.C., Wulder, M.A., Hilker, T., Nielsen, S., McDermid, G. & Stenhouse, G.B. 2011a. Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment. Environmental Monitoring and Assessment 180: 1-13.
3. Bater, C., Coops, N.C., Wulder, M.A., Nielsen, S.E., McDermid, G. & Stenhouse, G.B. 2011b. Design and installation of a camera network across an elevation gradient for habitat assessment. Instrumentation Science & Technology 39: 231-247.
4. Coogan, S.C.P., Nielsen, S.E. & Stenhouse, G.B. 2012. Spatial and temporal heterogeneity creates a "brown tide" in root phenology and nutrition. ISRN Ecology 2012: 618257.
5. Coops, N.C., Hilker, T., Bater, C., Wulder, M.A., Nielsen, S.E., McDermid, G. & Stenhouse, G.B. 2012. Linking ground-based to satellite-derived phenological metrics in support of habitat assessment. Remote Sensing Letters 3: 191-200.
6. Craighead, J.J. & Sumner, J.S. 1995. The grizzly bears of Yellowstone 1959-1972. Island Press, Washington, DC, US.
7. Crimmins, T.M., Crimmins, M.A. & David Bertelsen, C. 2009. Flowering range changes across an elevation gradient in response to warming summer temperatures. Global Change Biology 15: 1141-1152.
8. Dierschke, H. 1972. On the recording and presentation of phenological phenomena in plant communities. English translation of: Zur Aufnahme und Darstellung phänologischer Erscheinungen in Pflanzengesellschaften. Translated by R.E. Wessell and S.S. Talbot. 1970 International Symposium for Vegetation Science, The Hague, NL.
9. Festa-Bianchet, M., Ray, J., Boutin, S., Côté, S. & Gunn, A. 2011. Conservation of caribou (Rangifer tarandus) in Canada: an uncertain future. Canadian Journal of Zoology 89: 419-434.
10. Graham, E.A., Riordan, E.C., Yuen, E.M., Estrin, D. & Rundel, P.W. 2010. Public Internet-connected cameras used as a cross-continental ground-based plant phenology monitoring system. Global Change Biology 16: 3014-3023.
11. Hamer, D. & Herrero, S., 1987. Grizzly bear food and habitat in the front ranges of Banff National Park, Alberta. In: Zager, P. (ed.) Proceedings of 7th international conference on bear research and management, pp. 199-213. International Association of Bear Research and Management, Williamsburg, VA, US and Plityice Lakes, YU, February and March 1986.
12. Hamer, D., Herrero, S. & Brady, K. 1991. Food and habitat used by grizzly bears, Ursus arctos, along the Continental Divide in Waterton Lakes National Park, Alberta. Canadian Field Naturalist 105: 325-329.
13. Hufkens, K., Friedl, M., Sonnentag, O., Braswell, B.H., Milliman, T. & Richardson, A.D. 2012. Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology. Remote Sensing of Environment 117: 307-321.
14. Ide, R. & Oguma, H. 2010. Use of digital cameras for phenological observations. Ecological Informatics 5: 339-347.
15. Jacobs, N., Burgin, W., Fridrich, N., Abrams, A., Miskell, K., Braswell, B., Richardson, A.D. & Pless, R. 2009. The global network of outdoor webcams: properties and applications, pp. 111-120. ACM International Conference on Advances in Geographic Information Systems, Seattle, WA, US.
16. Jongschaap, R.E.E. & Booij, R. 2004. Spectral measurements at different spatial scales in potato: relating leaf, plant and canopy nitrogen status. International Journal of Applied Earth Observation and Geoinformation 5: 205-218.
17. Karcher, D.E. & Richardson, M.D. 2003. Quantifying turfgrass color using digital image analysis. Crop Science 94: 3-951.
18. Kurc, S.a. & Benton, L.M. 2010. Digital image-derived greenness links deep soil moisture to carbon uptake in a creosote bush-dominated shrubland. Journal of Arid Environments 74: 585-594.
19. McLellan, B.N. & Hovey, F.W. 1995. The diet of grizzly bears in the Flathead River drainage of southeastern British Columbia. Journal of Zoology, 73: 704-712.
20. Moss, E.H. 1983. The Flora of Alberta. Second Edition by Packer, J.G., University of Toronto Press, Toronto ON, Canada. 687p.
21. Munro, R.H.M., Nielsen, S., Price, M.H., Stenhouse, G.B. & Boyce, M. 2006. Seasonal and diel patterns of Grizzly bear diet and activity in West-Central Alberta. Journal of Mammalogy 87: 1112-1121.
22. Nielsen, S. 2005. Habitat ecology, conservation, and projected population viability of grizzly bears (Ursus arctos L.) in West-Central Alberta, Canada. PhD Dissertation, University of Alberta, Edmonton, AL, CA.
23. Nielsen, S., Boyce, M., Stenhouse, G.B. & Munro, R.H.M. 2003. Development and testing of phenologically driven grizzly bear habitat models. Ecoscience 10: 1-10.
24. Nielsen, S., Stenhouse, G.B. & Boyce, M. 2006. A habitat-based framework for grizzly bear conservation in Alberta. Biological Conservation 130: 217-229.
25. Nielsen, S., McDermid, G., Stenhouse, G.B. & Boyce, M. 2010. Dynamic wildlife habitat models: seasonal foods and mortality risk predict occupancy-abundance and habitat selection in grizzly bears. Biological Conservation 143: 1623-1634.
26. Polgar, C.a. & Primack, R.B. 2011. Leaf-out phenology of temperate woody plants: from trees to ecosystems. New Phytologist 191: 926-941.
27. Purcell, L.C.C. 2000. Soybean canopy coverage and light interception measurements using digital imagery. Crop Science 40: 834-837.
28. Richardson, A.D., Jenkins, J.P., Braswell, B.H., Hollinger, D.Y., Ollinger, S.V. & Smith, M.L. 2007. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia 152: 323-334.
29. Richardson, A.D., Braswell, B.H., Hollinger, D.Y., Jenkins, J.P. & Ollinger, S.V. 2009. Near-surface remote sensing of spatial and temporal variation in canopy phenology. Ecological Applications 19: 1417-1428.
30. Rogers, L.N. 1987. Effects of food supply and kinship on social behavior, movements, and population growth of black bears in northeastern Minnesota. Wildlife Monographs 51: 1-72.
31. Schwartz, M.D., Reed, B.C. & White, M.A. 2002. Assessing satellite-derived start-of-season measures in the conterminous USA. International Journal of Climatology 22: 1793-1805.
32. Sharma, S., Couturier, S., Côté, S.D. & Cote, S.D. 2009. Impacts of climate change on the seasonal distribution of migratory caribou. Global Change Biology 15: 2549-2562.
33. Sonnentag, O., Hufkens, K., Teshera-Sterne, C., Young, A.M., Friedl, M., Braswell, B.H., Milliman, T., O'Keefe, J. & Richardson, A.D. 2012. Digital repeat photography for phenological research in forest ecosystems. Agricultural and Forest Meteorology 152: 159-177.
34. Studer, S., Stöckli, R., Appenzeller, C. & Vidale, P.L. 2007. A comparative study of satellite and ground-based phenology. International Journal of Biometeorology 51: 405-414.
35. Waring, R.H., Coops, N.C., Fan, W. & Nightingale, J.M. 2006. MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous U.S.A. Remote Sensing of Environment 103: 218-226.
36. Zerger, a., Viscarra Rossel, R.A., Swain, D.L., Wark, T., Handcock, R.N., Doerr, V.A.J., Bishop-Hurley, G.J., Doerr, E.D., Gibbons, P.G. & Lobsey, C. 2010. Environmental sensor networks for vegetation, animal and soil sciences. International Journal of Applied Earth Observation and Geoinformation 12: 303-316.