Limitations on maximum tree density using hyperspatial remote sensing and environmental gradient analysis

Remote Sensing of Environment

Volumn 113, Issue 1, 2009, Pages 94-101

  Greenberg, J A ^a   Dobrowski, S Z ^b   Vanderbilt, V C ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF MONTANA   (United States)

^c NASA AMES RESEARCH CENTER   (United States)

Author keywords

Ecological niche; Environmental gradients; Forests; Hyperspatial remote sensing; Lake Tahoe; Radiation; Topography; Tree density

Indexed keywords

FORESTRY; LAKES; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; SPACE OPTICS;

ECOLOGICAL NICHE; ENVIRONMENTAL GRADIENTS; FORESTS; HYPERSPATIAL REMOTE SENSING; LAKE TAHOE; TREE DENSITY;

WATER ANALYSIS;

ENVIRONMENTAL GRADIENT; ESTIMATION METHOD; IMAGING METHOD; MICROCLIMATE; REMOTE SENSING; TOPOGRAPHIC EFFECT; TREE;

ECOLOGY; ENVIRONMENTS; FORESTS; LAKES; RADIATION; REMOTE SENSING; WATER ANALYSIS;

LAKE TAHOE BASIN; NEVADA; NORTH AMERICA; UNITED STATES;

EID: 56949099718     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.08.014     Document Type: Article

References (39)

1. Allen R.G., Pereira L.S., Raes D., and Smith M. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56 (1998), FAO, Rome 300
2. Barbour M., Kelley E., Maloney P., Rizzo D., Royce E., and Fites-Kaufmann J. Present and past old-growth forests of the Lake Tahoe Basin, Sierra Nevada, US. Journal of Vegetation Science 13 (2002) 461-472
3. Braak C. Canonical correspondence analysis: A new eigenvector technique for multivariate direct gradient analysis. Ecology 67 (1986) 1167-1179
4. Brandtberg T., and Walter F. Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis. Machine Vision and Applications 11 (1998) 64-73
5. Brandtberg T., Warner T.A., Landenberger R.E., and McGraw J.B. Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America. Remote Sensing of Environment 85 3 (2003) 290-303
6. Elliott-Fisk D.L., Cahill T.C., Davis O.K., Duan L., Goldman C.R., Gruell G.E., Harris R., Kattelmann R., Lacey R., and Leisz D. Lake Tahoe case study. Sierra Nevada Ecosystem Project: Final Report to Congress. Addendum (1997) 217-276
7. Falkowski M.J., Smith A.M.S., Hudak A.T., Gessler P.E., Vierling L.A., and Crookston N.L. Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar data. Canadian Journal of Remote Sensing 32 (2006) 153-161
8. Germino M.J., Smith W.K., and Resor A.C. Conifer seedling distribution and survival in an alpine-treeline ecotone. Plant Ecology 162 (2002) 157-168
9. Gleason H.A. The individualistic concept of the plant association. American Midland Naturalist 21 (1939) 92-110
10. Gougeon, F.A., 1999. Automatic individual tree crown delineation using a valley-following algorithm and a rule-based system. Pages 11-23 in Hill, D.A. and Leckie, D.G., editors. International Forum on Automated Interpretation of High Spatial Resolution Digital Imagery for Forestry. Natural Resources Canada, Canadian Forest Service, Victoria, B.C.
11. Grace J., Berninger F., and Nagy L. Impacts of climate change on the tree line. Annals of Botany (London) 90 4 (2002) 537-544
12. Greenberg J.A., Dobrowski S.Z., Ramirez C.M., Tuil J.L., and Ustin S.L. A bottom-up approach to vegetation mapping of the Lake Tahoe Basin using hyperspatial image analysis. Photogrammetric Engineering & Remote Sensing 72 (2006) 581-589
13. Greenberg J.A., Dobrowski S.Z., and Ustin S.L. Shadow allometry: Estimating tree structural parameters using hyperspatial image analysis. Remote Sensing of Environment 97 (2005) 15-25
14. Greenberg J.A., Dobrowski S.Z., and Vanderbilt V.C. Evidence of water limited affects in tree density in a subalpine/alpine environment as inferred from hyperspatial image data and climate gradient analysis. American Geophysical Union Fall Meeting (2005) San Francisco, CA
15. Greenberg J.A., Kefauver S.C., Stimson H.C., Yeaton C.J., and Ustin S.L. Survival analysis of a neotropical rainforest using multitemporal satellite imagery. Remote Sensing of Environment 96 (2005) 202-211
16. 2 enrichment and defoliation. Ecology 86 (2005) 1288-1300
17. Hansen-Bristow K.J., Ives J.D., and Wilson J.P. Climatic variability and tree response within the forest-alpine tundra ecotone. Annals of the Association of American Geographers 78 3 (1988) 505-519
18. Hayhoe K., Cayan D., Field C.B., Frumhoff P.C., Maurer E.P., Miller N.L., Moser S.C., Schneider S.H., Cahill K.N., and Cleland E.E. Emissions pathways, climate change, and impacts on California. Proceedings of the National Academy of Sciences 101 (2004) 12422-12427
19. Hofierka J., and Šúri M. The solar radiation model for open source GIS: Implementation and applications. Proceeding of" Open Source GIS-GRASS Users Conference (2002)
20. Hutchinson G.E. Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology 22 (1957) 415-427
21. Ives J.D., and Hansen-Bristow K.J. Stability and instability of natural and modified upper timberline landscapes in the Colorado Rocky Mountains, USA. Mountain Research and Development 3 2 (1983) 149-155
22. Kasischke E.S., Melack J.M., and Dobson M.C. The use of imaging radars for ecological applications - A review. Remote Sensing of Environment 59 (1997) 141-156
23. Körner C.V. A re-assessment of high elevation treeline positions and their explanation. Oecologia 115 (1998) 445-459
24. Leckie D., Gougeon F., Hill D., Quinn R., Armstrong L., and Shreenan R. Combined high-density lidar and multispectral imagery for individual tree crown analysis. Canadian Journal of Remote Sensing 29 (2003) 633-649
25. Leckie D.G., Gougeon F.A., Walsworth N., and Paradine D. Stand delineation and composition estimation using semi-automated individual tree crown analysis. Remote Sensing of Environment 85 3 (2003) 355-369
26. Lloyd A.H.N., and Fastie C.L.N. Spatial and temporal variability in the growth and climate response of treeline trees in Alaska. Climatic Change 52 (2002) 481-509
27. Paulsen J., Weber U.M., and Koerner C. Tree growth near treeline: Abrupt or gradual reduction with altitude?. Arctic, Antarctic, and Alpine Research 32 (2000) 14-20
28. Pearson R.G., and Dawson T.P. Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful?. Global Ecology and Biogeography 12 (2003) 361-371
29. Popescu S.C., Wynne R.H., and Nelson R.F. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing 29 (2003) 564-577
30. Pouliot D.A., King D.J., Bell F.W., and Pitt D.G. Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration. Remote Sensing of Environment 82 (2002) 322-334
31. Stephenson N.L. Climatic control of vegetation distribution: The role of the water balance. American Naturalist AMNTA 4 (1990) 135
32. Stevens G.C., and Fox J.F. The causes of treeline. Annual Review of Ecology and Systematics 22 (1991) 177-191
33. Strand E.K., Smith A.M.S., Bunting S.C., Vierling L.A., Hann D.B., and Gessler P.E. Wavelet estimation of plant spatial patterns in multitemporal aerial photography. International Journal of Remote Sensing 27 (2006) 2049-2054
34. Thornton P.E., and Running S.W. An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation. Agricultural and Forest Meteorology 93 (1999) 211-228
35. Urban D.L., Miller C., Halpin P.N., and Stephenson N.L. Forest gradient response in Sierran landscapes: The physical template. Landscape Ecology 15 (2000) 603-620
36. U.S. Department of Agriculture F.S. Forest inventory and analysis national core field guide, volume 1: Field data collection procedures for phase 2 plots, version 1.7. U.S. Department of Agriculture, Forest Service (2003), Washington Office, Washington
37. U.S. Geological Survey. 7.5 minute Digital Elevation Models (1998), U. S. Geological Survey, Menlo Park
38. Welch R., and Ehlers M. Merging multiresolution SPOT HRV and Landsat TM data. Photogrammetric Engineering and Remote Sensing 53 (1987) 301-303
39. Westoby M. The self-thinning rule. Advances in Ecological Research 14 (1984) 167-226