The influence of ground- and lidar-derived forest structure metrics on snow accumulation and ablation in disturbed forests

Canadian Journal of Forest Research

Volumn 40, Issue 4, 2010, Pages 812-821

  Varhola, Andrés ^a   Coops, Nicholas C ^a   Bater, Christopher W ^a   Teti, Pat ^b   Boon, Sarah ^c   Weiler, Markus ^d  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b RESEARCH BRANCH   (Canada)

^c UNIVERSITY OF LETHBRIDGE   (Canada)

^d UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRITISH COLUMBIA; FOREST CANOPIES; FOREST COVER; FOREST STRUCTURE; GROUND BASED; INNOVATIVE TECHNOLOGY; LIGHT DETECTION AND RANGING; LODGEPOLE PINE FORESTS; MOUNTAIN PINE BEETLE; POTENTIAL IMPACTS; ROBUST MODELS; SALVAGE HARVESTING; SNOW ABLATION; SNOW ACCUMULATION; WATERSHED PROCESS; WINDTHROWS;

ABLATION; INNOVATION; LANDFORMS; OPTICAL RADAR; SNOW; WATER RESOURCES;

FORESTRY;

ABLATION; BEETLE; CONIFEROUS FOREST; DEFOLIATION; FOREST COVER; FOREST DYNAMICS; GROUND-BASED MEASUREMENT; HARVESTING; INTERCEPTION; LIDAR; SNOW ACCUMULATION; STAND STRUCTURE; WATER RESOURCE; WATERSHED; WINDTHROW;

FOREST CANOPY; FORESTRY; FORESTS; HARVESTING; INNOVATION; LAND; PINUS; RADAR; SALVAGE; SNOW; WATER RESOURCES; WATER SHEDS;

BRITISH COLUMBIA; CANADA;

COLEOPTERA; PINUS CONTORTA; PINUS MUGO;

EID: 77951668908     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/X10-008     Document Type: Article

References (50)

1. Ager, A., and Clifton, C. 2005. Software for calculating vegetation disturbance and recovery by using the Equivalent Clearcut Area model. USDA Tech. Rep. PNW-GTR-637.
2. Alila, Y., Kuras, P., Bewley, D., Teti, P., and Blair, T. 2007. Effects of pine beetle infestations and treatments on hydrology: integrating stand-level data into mesoscale watershed functions. In Proceedings of the Mountain Pine Beetle and Watershed Hydrology Workshop: Preliminary Results of Research from BC, Alberta and Colorado, Kelowna, British Columbia, 10 July 2007. Edited by T. Redding. FORREX.
3. Andersen, H., McGaughey, R.J., and Reutebuch, S.E. 2005. Estimating forest canopy fuel parameters using LiDAR data. Remote Sens. Environ. 94(4): 441-449. doi:10.1016/j.rse.2004.10.013.
4. Anderson, H.W., and Gleason, C.H. 1960. Effects of logging and brush removal on snow water runoff. Int. Assoc. Sci. Hydrol. Publ. 51: 478-489.
5. Bailey, R., and Dell, T. 1973. Quantifying diameter distributions with the Weibull function. For. Sci. 19(2): 97-104.
6. Bater, C.W., and Coops, N.C. 2009. Evaluating error associated with LiDAR-derived DEM interpolation. Comput. Geosci. 35(2): 289-300. doi:10.1016/j.cageo.2008.09.001.
7. BC Ministry of Forests. 2001. Watershed assessment procedure guidebook. 2nd ed. Version 2.1. For. Prac. Br., Min. For., Victoria, BC Forest Practices Code of British Columbia Guidebook.
8. BC Ministry of Forests. 2008. Beetle facts [online]. Available from http://www.for.gov.bc.ca/hfp/mountain_pine_beetle/facts.htm#infestation [accessed 13 March 2009].
9. Boon, S. 2009. Snow ablation energy balance in a dead forest stand. Hydrol. Process. 23(18): 2600-2610. doi:10.1002/hyp.7246.
10. Brooks, K.N., Ffolliott, P.F., Gregersen, H.M., and DeBano, L.F. 2003. Hydrology and the management of watersheds. 3rd ed. Iowa State Press, Ames, Iowa.
11. Carver, M. 2001. Using indicators to assess hydrologic risk. In Proceedings of the Watershed Assessment in the Southern Interior of British Columbia Workshop, Penticton, British Columbia, Canada, 9-10 March 2000. Edited by D.A.A. Toews and S. Chatwin. British Columbia Ministry of Forests, Research Program, Victoria, Working Paper 57. pp. 26-43.
12. Connaughton, C.A. 1935. The accumulation and rate of melting of snow as influenced by vegetation. J. For. 33(6): 564-569.
13. Coops, N.C., Varhola, A., Bater, C.W., Teti, P., Boon, S., Goodwin, N.R., and Weiler, M. 2010. Assessing differences in tree and stand structure following beetle infestation using Li-DAR data. Can. J. Rem. Sens., In press.
14. D'Eon, R.G. 2004. Snow depth as a function of canopy cover and other site attributes in a forested ungulate winter range in south-east British Columbia. J. Ecosyst. Manage. 3: 1-9.
15. Eisenbies, M., Aust, W., Burger, J., and Adams, M. 2007. Forest operations, extreme flooding events, and considerations for hydrologic modeling in the Appalachians - a review. For. Ecol. Manage. 242(2-3): 77-98. doi:10.1016/j.foreco.2007.01.051.
16. Essery, R.L.H., Pomeroy, J.W., Parviainen, J., and Storck, P. 2003. Sublimation of snow from coniferous forests in a climate model. J. Clim. 16: 1855-1864. doi:10.1175/1520-0442(2003) 016<1855:SOSFCF>2.0.CO;2.
17. Essery, R., Bunting, P., Hardy, J., Link, T., Marks, D., Melloh, R., Pomeroy, J., Rowlands, A., and Rutter, N. 2008. Radiative transfer modeling of a coniferous canopy characterized by airborne remote sensing. J. Hydrometeorol. 9(2): 228-241. doi:10.1175/ 2007JHM870.1.
18. Gary, H.L. 1975. Airflow patterns and snow accumulation in a forest clearing. In Proceedings of the 43rd Annual Western Snow Conference, Coronado, California, 23-25 April 1975. Edited by J.N. Washichek, D.W. McAndrew, and R.T. Davis. Colorado State University, Fort Collins, Colo., USA. pp. 106-113.
19. Gobakken, T., and Næsset, E. 2005. Weibull and percentile models for LiDAR-based estimation of basal area distribution. Scand. J. For. Res. 20(6): 490-502. doi:10.1080/02827580500373186.
20. Golding, D., and Swanson, R. 1986. Snow distribution patterns in clearings and adjacent forest. Water Resour. Res. 22(13): 1931-1940. doi:10.1029/WR022i013p01931.
21. Hardy, P., Davis, R.E., Jordan, R., Ni, W, and Woodcock, C.E. 1998. Snow ablation modelling in a mature aspen stand of the boreal forest. Hydrol. Process. 12(10-11): 1763-1778. doi:10. 1002/(SICI)1099-1085(199808/09)12:10/11<1763::AID-HYP693>3.0.CO;2-T.
22. Haupt, H.E. 1951. Snow accumulation and retention on ponderosa pine lands in Idaho. J. For. 49(12): 869-871.
23. Hedstrom, N., and Pomeroy, J. 1998. Measurements and modelling of snow interception in the boreal forest. Hydrol. Process. 12(10-11): 1611-1625. doi:10.1002/(SICI)1099-1085(199808/09)12:10/11<1611::AID-HYP684>3.0.CO;2-4.
24. Jost, G., Weiler, M., Gluns, D.R., and Alila, Y. 2007. The influence of forest and topography on snow accumulation and melt at the watershed-scale. J. Hydrol. (Amst.), 347(1-2): 101-115. doi:10.1016/j.jhydrol.2007.09.006.
25. King, J.G. 1989. Streamflow responses to road building and harvesting: a comparison with the equivalent clearcut area procedure. USDA For. Serv. Res. Pap. INT-401, Ogden, Utah.
26. Kurz, W.A., Dymond, C.C., Stinson, G., Rampley, G.J., Neilson, E.T., Carroll, A.L., Ebata, T., and Safranyik, L. 2008. Mountain pine beetle and forest carbon feedback to climate change. Nature, 452(7190): 987-990. doi:10.1038/nature06777. PMID: 18432244.
27. Lefsky, M.A., Cohen, W.B., Parker, G.G., and Harding, D.J. 2002. LiDAR remote sensing for ecosystem studies. Bioscience, 52(1): 19-30. doi:10.1641/0006-3568(2002) 052[0019:LRSFES]2.0.CO;2.
28. Lim, K., Treitz, P., Wulder, M., St-Onge, B., and Flood, M. 2003. LiDAR remote sensing of forest structure. Prog. Phys. Geogr. 27(1): 88-106. doi:10.1191/0309133303pp360ra.
29. Lundberg, A., and Halldin, S. 2001. Snow interception evaporation. Review of measurement techniques, processes, and models. Theor. Appl. Climatol. 70(1-4): 117-133. doi:10.1007/s007040170010.
30. Magnussen, S., and Boudewyn, P. 1998. Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators. Can. J. For. Res. 28(7): 1016-1031. doi:10. 1139/cjfr-28-7-1016.
31. McCaughey, W., and Farnes, P.E. 2001. Snowpack comparison between an opening and a lodgepole pine stand. In Proceeedings of the 69th Annual Western Snow Conference, Sun Valley, Idaho, 17-19 April 2001. Edited by K. Elder. pp. 59-64.
32. Meagher, G.S. 1938. Forest cover retards snow melting. J. For. 36(12): 1209-1210.
33. Mitchell, R.G., and Preisler, H.K. 1998. Fall rate of lodgepole pine killed by the mountain pine beetle in central Oregon. West. J. Appl. For. 13: 23-26.
34. Morsdorf, F., Frey, O., Meier, E., Itten, K.I., and Allgoewer, B. 2008. Assessment of the influence of flying altitude and scan angle on biophysical vegetation products derived from airborne laser scanning. Int. J. Remote Sens. 29(5): 1387-1406. doi:10. 1080/01431160701736349.
35. Mote, P., Hamlet, A., Clark, M., and Lettenmaier, D. 2005. Declining mountain snowpack in western North America. Bull. Am. Met. Soc. 86(1): 39-49. doi:10.1175/BAMS-86-1-39.
36. Murray, C., and Buttle, J. 2003. Impacts of clearcut harvesting on snow accumulation and melt in a northern hardwood forest. J. Hydrol. 271(1-4): 197-212. doi:10.1016/S0022-1694(02) 000352-9.
37. Næsset, E. 2009. Effects of different sensors, flying altitudes, and pulse repetition frequencies on forest canopy metrics and biophysical stand properties derived from small-footprint airborne laser data. Remote Sens. Environ. 113(1): 148-159. doi:10.1016/j.rse.2008.09.001.
38. Pomeroy, J., Parviainen, J., Hedstrom, N., and Gray, D.M. 1998. Coupled modelling of forest snow interception and sublimation. Hydrol. Process. 12(15): 2317-2337. doi:10.1002/(SICI)1099-1085(199812)12:15<2317::AID-HYP799>3.0.CO;2-X.
39. Pomeroy, J., Gray, D., Hedstrom, N., and Janowicz, J. 2002. Prediction of seasonal snow accumulation in cold climate forests. Hydrol. Process. 16(18): 3543-3558. doi:10.1002/hyp.1228.
40. Rood, S., Pan, J., Gill, K., Franks, C., Samuelson, G., and Shepherd, A. 2008. Declining summer flows of Rocky Mountain rivers: changing seasonal hydrology and probable impacts on floodplain forests. J. Hydrol. (Amst.), 349(3-4): 397-410. doi:10.1016/j.jhydrol.2007.11.012.
41. Sambridge, M., Braun, J., and McQueen, H. 1995. Geophysical parameterization and interpolation of irregular data using natural neighbours. Geophys. J. Int. 122(3): 837-857. doi:10.1111/j.1365-246X.1995.tb06841.x.
42. Service, R.F. 2004. Water resources. As the West goes dry. Science, 303(5661): 1124-1127. doi:10.1126/science.303.5661.1124. PMID:14976291.
43. Sibson, R. 1981. A brief description of natural neighbour interpolation. In Interpreting multivariate data. John Wiley & Sons, New York. pp. 21-36.
44. Swanson, R.H., and Stevenson, D.R. 1971. Managing snow accumulation under leafless aspen to enhance watershed value. In Proceeedings of the 39th Annual Western Snow Conference, Billings, Montana, 20-22 April 1971. Edited by J.N. Washichek, G. Peak, and R.T. Davis. Colorado State University, Fort Collins, Colo., USA. pp. 63-69.
45. Teti, P. 2008. Effects of overstory mortality on snow accumulation and ablation. Natural Resources Canada, BC Ministry of Forests and Range.
46. Uunila, L., Guy, B., and Pike, R. 2006. Hydrologic effects of mountain pine beetle in the interior pine forests of British Columbia: key questions and current knowledge. Streamline, 9(2): 1-6.
47. Winkler, R.D., Spittlehouse, D.L., and Golding, D.L. 2005. Measured differences in snow accumulation and melt among clearcut, juvenile, and mature forests in southern British Columbia. Hydrol. Process. 19(1): 51-62. doi:10.1002/hyp.5757.
48. Wulder, M.A., Dymond, C.C., White, J.C., Leckie, D.G., and Carroll, A.L. 2006. Surveying mountain pine beetle damage of forests: a review of remote sensing opportunities. For. Ecol. Manage. 221: 27-41.
49. Wulder, M.A., Bater, C.W., Coops, N.C., Hilker, T., and White, J.C. 2008. The role of LiDAR in sustainable forest management. For. Chron. 84: 807-826.
50. Xu, M., and Harrington, T. 1998. Foliage biomass distribution of loblolly pine as affected by tree dominance, crown size, and stand characteristics. Can. J. For. Res. 28(6): 887-892. doi:10. 1139/cjfr-28-6-887.