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Vegetative Response to Climate Change in the Big Pine Creek Watershed along a 2,500 Meter Elevation Gradient Using Landsat Data
Earth Sciences
Volume 3, Issue 6, December 2014, Pages: 137-146
Received: Dec. 16, 2014; Accepted: Dec. 29, 2014; Published: Jan. 6, 2015
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Patrick Shawn Sawyer, School of Environmental and Public Affairs, University of Nevada, Las Vegas, United States
Haroon Stephen, Department of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, United States
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This paper presents a time series study of an alpine ecosystem in the Big Pine Creek watershed in California’s Eastern Sierra Nevada Mountain’s. Seventy five sample sites along a 2,500 meter elevation gradient are analyzed for trends in surface reflectance based on vegetative density using USGS data derived from Landsat imagery for the 1984 through 2013 time frame. Three vegetative indices, NDVI, SAVI, and MSAVI2 as well as the Tasseled Cap transformations for Brightness (TCB), greenness (TCG), and wetness (TCW) are explored. We found that over the time period of the study, significant increases in vegetation are occurring at densely vegetated sites at almost all elevations within the watershed while less change and even some significant declines in vegetation are seen in moderately and sparsely vegetated sites. Sparsely vegetated sites show distinct bifurcation in their response with the lower elevations seeing declines and the upper elevations seeing increases in vegetation. Several sites show significant declines in both the visible and near infrared regions suggesting there are compositional changes taking place consistent with climate induced range shifts. This study provides a useful insight into the ecological response of the Big Pine Creek watershed to recent climate change.
Landsat, Vegetation Indices, Elevation Gradient, Alpine Watershed, Climate Change, Time Series Mann-Kendall Trend Analysis
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Patrick Shawn Sawyer, Haroon Stephen, Vegetative Response to Climate Change in the Big Pine Creek Watershed along a 2,500 Meter Elevation Gradient Using Landsat Data, Earth Sciences. Vol. 3, No. 6, 2014, pp. 137-146. doi: 10.11648/
M. Lindner, M.Maroschek, S.Netherer, A. Kremer, A.Barbati, J. Garcia-Gonzalo, R.Seidl, S.Delzon, P. Corona, M.Kolstrom, M.J.Lexer, and M. Marchetti, M., ―Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. Forest Ecology and Management, 259, pp. 698 – 709, 2010.
P. Opdam, and D. Wascher, ―Climate change meets habitat fragmentation: linking landscape and biogeographical scale levels in research and conservation. Biological Conservation, 117, pp. 285-297, 2004.
M.R. Gasner, J.E. Jankowski, A.L.Ciecka, K.O. Kyle, K.O., and K.N. Rabenold, ―Projecting the local impacts of climate change on a Central American montane avian community. Biological Conservation, 143, pp. 1250-1258, 2010.
R.J. Wilson, D. Gutierrez, J. Gutierrez, D. Martinez, R.Agudo, and V.J. Monserrat, ―Changes to the elevational limits and extent of species ranges associated with climate change. Ecology Letters, 8, pp. 1138-1146, 2005.
P. Vittoz, D.Cherix, Y. Gonseth, V.Lubini, R.Maggini, N. Zbinden, and S. Zumbach, ―Climate change impacts on biodiversity in Switzerland: A review. Journal for Nature Conservation, 21, pp. 154-162, 2013.
G.R. Walther, ―Community and ecosystem responses to recent climate change, Philosophical Transactions of The Royal Society B, 365, pp. 2019-2024, 2010.
J. Salick, F. Zhendong, and A. Byg, ―Eastern Himalayan alpine plant ecology, Tibetan ethnobotony, and climate change. Global Environmental Change, 19, pp. 147-155, 2009.
A.E. Kelly, and M.L. Goulden, ―Rapid shifts in plant distribution with recent climate change. Proceedings of the National Academy of Sciences (PNAS), 105(33), pp. 11823-11826, 2008.
C.A. Wessman, ―Imaging spectrometry for remote sensing of ecosystem processes. Advances in Space Research, 12 (7), pp. 361-368, 1992.
R.D. Jackson, P.J. Pinter Jr., R.J.Reginato, and S.B. Idso, ―Detection and evaluation of plant stresses for crop management decisions. IEEE Transactions on Geoscience and Remote Sensing, GE-24 (1), pp. 99-106, 1986.
H.B. Musick, and R.E. Pelletier, ―Response to soil moisture spectral indexes derived from bidirectional reflectance in thematic mapper wavebands. Remote Sensing of Environment, 25, pp. 167-184, 1988.
H.D.Adams, M. Guardiola-Claramonte, G.A. Barron-Gafford, J.C. Villegas, D.D.Breshears, C.B. Zou, P.A. Troch, and T.E. Huxman, ―Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought, PNAS, 106 (17), pp. 7063 – 7066, 2009.
S.W. Todd, and R.M. Hoffer, ―Responses of spectral indices to variations in vegetation cover and soil background. Photogrammetric Engineering & Remote Sensing, 64 (9), pp. 915-921, 1998.
J.E. Vogelmann, B.Tolk, and Z. Zhu, Z., ―Monitoring forest changes in the southwestern United States using multitemporal Landsat data. Remote Sensing of Environment, 112, pp. 1739-1748, 2009.
A.P. Williams, C.D. Allen, A.K.Macalady, D. Griffin, C.A. Woodhouse, D.M.Meko, T.W.Swetnam, S.A. Rauscher, R.Seager, H.D.Grissino-Mayer, J.S. Dean, E.R. Cook, C.Gangodagamage, M.Cai, and N.G. McDowell, ―Temperature as a potent driver of regional forest drought stress and tree mortality. Nature Climate Change, 3, pp. 292-297, 2013.
O. Skre, and M. Naess, ―CO2 and winter temperature effects on white birch. Chemosphere: Global Change Science, 1, pp. 469-483, 1999.
D.J. Chmura, P.D. Anderson, G.T. Howe, C.A. Harrington, J.E.Halofsky, D.L. Peterson, D.C. Shaw, and B.J. St. Clair, ―Forest responses to climate change in the northwestern United States: Ecophysiological foundations for adaptive management. Forest Ecology and Management, 261, pp. 1121–1142, 2011.
A.J. Elmore, J.F. Mustard, and S.J. Manning, ―Regional patterns of plant community response to changes in water: Owens Valley, California. Ecological Applications, 13 (2), pp. 443-460, 2003.
N.D. Bowerman, and D.H. Clark, ―Holocene glaciation of the central Sierra Nevada, California. Quaternary Science Reviews. 30, pp. 1067-1085, 2011.
G.M. Kondolf, ―Stream-groundwater interactions along streams of the Eastern Sierra Nevada California: Implications for assessing potential impacts of flow diversions. USDA Forest Service Gen. Tech. Rep. PSW-110, pp. 352 – 359, 1989.
V. Gond, D.G. De Pury, F.Veroustraete, and R. Cuelemans, ―Seasonal variation in leaf area index, leaf chlorophyll and water content; scaling up to estimate fAPAR and carbon balance in a multilayer, multispecies temperate forest. Tree Physiology, 19, pp. 673-679, 1999.
K.M. De Beurs, and G.M. Henebry, ―A statistical framework for the analysis of long image time series. International Journal of Remote Sensing, 26 (8), pp. 1551-1573, 2005.
J.G. Masek, E.F.Vermote, N.Saleous, R. Wolfe, F.G. Hall, F. Huemmrich, F. Gao, J.Kutler, and T.K.Lim, ―A Landsat surface reflectance data set for North America, 1990-2000. IEEE Geoscience and Remote Sensing Letters, 3, pp. 68-72, 2006.
Y.J. Kaufman, A.E. Wald, L.A. Remer, B.C.Gao, R.R. Li, and L. Flynn, ―The MODIS 2.1 m channel – Correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing, 35 (5), pp. 1286-1298, 1997.
J.W. Rouse, R.H. Haas, J.A. Schell and D.W. Deering, ―Monitoring vegetation systems in the Great Plains with ERTS. Proc. Third ERTS-1 Symposium, NASA Goddard, NASA SP-351 pp. 309-317, 1974.
A.R. Huete, ―A soil-adjusted vegetation index. Remote Sensing of the Environment, 25, pp. 295-309, 1988.
J. Qi, A.Chehbouni, A.R.Huete, Y.H. Kerr, and S. Sorooshian, S., ―A modified soil-adjusted vegetation index. Remote Sensing of the Environment, 48, pp. 119-126, 1994.
E.P. Crist, ―Short communication: A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sensing of the Environment, 17, pp. 301-306, 1985.
P.S. Sawyer, and H. Stephen, ―The Big Pine Creek watershed and climate change: A trend analysis of Landsat surface reflectance and PRISM datasets over the last 3 decades. Advances in Space Research, 54, pp. 37-48, 2014.
J.M. Lenihan, R.Drapek, D.Bachelet, and R.P. Nelson, ―Climate change effects on vegetation distribution, carbon, and fire in California. Ecological Applications, 13 (6), pp. 1667 – 1681, 2003.
S.M.Vicente-Serrano, F. Perez-Cabello, and T. Lasanta, ―Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat imagery. Remote Sensing of Environment, 112, pp. 3916-3934, 2008.
C.F. Schueler, and V.V. Salomonson, ―Landsat Image Data Quality Studies. Advances in Space Research, 5 (5), pp. 1-11, 1985.
G. Chander, B. Markham, and D.L. Helder, ―Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113, pp. 893-903, 2009.
M. Feng, J.O. Sexton, C. Huang, J.G.Masek, E.F.Vermote, F. Gao, R.Narasimhan, S.Channan, R.E. Wolfe, and J.R. Townshend, ―Global surface products from Landsat: Assessment using coincident MODIS observations, Remote Sensing of Environment, Vol. 134, pp. 276-293, 2013.
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