TY - JOUR
T1 - Spectral sensing of foliar water conditions in two co-occurring conifer species
T2 - Pinus edulis and Juniperus monosperma
AU - Stimson, Hugh C.
AU - Breshears, David D.
AU - Ustin, Susan L.
AU - Kefauver, Shawn C.
N1 - Funding Information:
The authors thank Clifton W. Meyer, Kelly L. Goddard, David K. Reiley, and Katherine E. Dayem for their assistance in the field and laboratory, Jonathan Greenberg for development of the Absorption Index, Carlos A. Rueda for programming of SAMS, and Scott N. Martens and Stéphane Jacquemoud for their assistance in experimental planning. This work was supported by the Collaborative University of California/Los Alamos Research (CULAR) Program at Los Alamos National Laboratory and the UC Davis California Space Institute Center of Excellence.
PY - 2005/5/15
Y1 - 2005/5/15
N2 - Many fundamental ecosystem properties and dynamics are determined by plant water stress, particularly in dryland ecosystems where water is usually limiting. Indeed, under severe drought, plant water stress and associated insect infestations can produce landscape-scale mortality. Despite the fundamental importance of plant water stress in determining properties and dynamics at ecosystem and landscape scales, approaches for remotely sensing plant water stress are largely lacking, particularly for conifers. We evaluated the remotely sensed detection of foliar drought stress in two conifer species, Pinus edulis and Juniperus monosperma, which are co-dominants of extensive-juniper woodlands in North America, the first of which experienced extensive mortality in association with a recent drought. Needle spectra were made on these species in the field using an integrating sphere and portable spectrometer. Two indices of foliar water condition, plant water content (% of dry mass) and plant water potential, were compared to five spectral analyses: continuum removal of the 970 and 1200 nm water absorption features, the Normalized Difference Water Index (NDWI), the Normalized Difference Vegetation Index (NDVI), and the red edge wavelength position. For P. edulis, plant water content was significantly correlated with four of the five indices: NDVI (R2=0.71) and NDWI (R2=0.68) which exhibited stronger relationships than 970 nm continuum removal (R2=0.57) or red edge position (R 2=0.45). All five indices were significantly correlated with P. edulis water content when trees undergoing mortality were included in analyses (R2=0.60-0.93). Although the correlations were weaker than for plant water content, plant water potential was significantly correlated with NDWI (R2=0.49), 970 nm (R2=0.44), NDVI (R2=0.35), and red edge (R2=0.34); again all five indices had significant relationships when trees undergoing mortality were included (R 2=0.51-0.86). The relationships were weaker for J. monosperma: water content was significantly related to 970 nm (R2=0.50) and 1200 nm (R2=0.37) continuums and NDVI (R2=0.33), while water potential was related only to 1200 nm (R2=0.40). Our results demonstrate a critical link between plant physiological characteristics tied to water stress and associated spectral signatures for two extensive co-occurring conifer species.
AB - Many fundamental ecosystem properties and dynamics are determined by plant water stress, particularly in dryland ecosystems where water is usually limiting. Indeed, under severe drought, plant water stress and associated insect infestations can produce landscape-scale mortality. Despite the fundamental importance of plant water stress in determining properties and dynamics at ecosystem and landscape scales, approaches for remotely sensing plant water stress are largely lacking, particularly for conifers. We evaluated the remotely sensed detection of foliar drought stress in two conifer species, Pinus edulis and Juniperus monosperma, which are co-dominants of extensive-juniper woodlands in North America, the first of which experienced extensive mortality in association with a recent drought. Needle spectra were made on these species in the field using an integrating sphere and portable spectrometer. Two indices of foliar water condition, plant water content (% of dry mass) and plant water potential, were compared to five spectral analyses: continuum removal of the 970 and 1200 nm water absorption features, the Normalized Difference Water Index (NDWI), the Normalized Difference Vegetation Index (NDVI), and the red edge wavelength position. For P. edulis, plant water content was significantly correlated with four of the five indices: NDVI (R2=0.71) and NDWI (R2=0.68) which exhibited stronger relationships than 970 nm continuum removal (R2=0.57) or red edge position (R 2=0.45). All five indices were significantly correlated with P. edulis water content when trees undergoing mortality were included in analyses (R2=0.60-0.93). Although the correlations were weaker than for plant water content, plant water potential was significantly correlated with NDWI (R2=0.49), 970 nm (R2=0.44), NDVI (R2=0.35), and red edge (R2=0.34); again all five indices had significant relationships when trees undergoing mortality were included (R 2=0.51-0.86). The relationships were weaker for J. monosperma: water content was significantly related to 970 nm (R2=0.50) and 1200 nm (R2=0.37) continuums and NDVI (R2=0.33), while water potential was related only to 1200 nm (R2=0.40). Our results demonstrate a critical link between plant physiological characteristics tied to water stress and associated spectral signatures for two extensive co-occurring conifer species.
KW - Drought stress
KW - Foliar water content
KW - Juniperus monosperma
KW - Pinus edulis
KW - Spectral indices
KW - Spectral remote sensing
KW - Water potential
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U2 - 10.1016/j.rse.2004.12.007
DO - 10.1016/j.rse.2004.12.007
M3 - Article
AN - SCOPUS:18144378842
SN - 0034-4257
VL - 96
SP - 108
EP - 118
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
IS - 1
ER -