|Title (Primary)||Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism|
|Author||Dechant, B.; Cuntz, M.; Vohland, M.; Schulz, E.; Doktor, D.|
|Journal||Remote Sensing of Environment|
|Department||CLE; CHS; BOOEK|
|Keywords||Vcmax; Jmax; Nitrogen; Photosynthesis; Leaf reflectance; PLS; Hyperspectral|
|UFZ wide themes||RU1|
Numerous studies have investigated reflectance-based estimations of physico-chemical leaf traits such as the contents of light absorbing pigments, leaf mass per area, or carbon and nitrogen contents. Only few studies, however, attempted to estimate leaf traits that are more directly linked to photosynthesis. We tested the feasibility of estimating two important photosynthesis traits, the maximum carboxylation capacity (Vcmax,25) and the maximum electron transport rate (Jmax,25), from in-situ leaf reflectance spectra using approaches that are applicable also on larger spatial scales. We conducted measurements of reflectance, CO2 response curves, leaf mass per area (LMA), and nitrogen content per area (Na) for 37 temperate deciduous tree species and a total of 242 leaves from widely differing light environments. Partial least squares (PLS) regression was used to estimate Vcmax , 25, Jmax , 25, LMA, and Na from reflectance spectra.
The results showed that both Vcmax , 25 and Jmax , 25 can be estimated from leaf reflectance measurements with good accuracy (R2 = 0.64 for Vcmax , 25, R2 = 0.70 for Jmax , 25) even for a large number of tree species and varying light environments. Detailed analysis of reflectance-based PLS and linear regression models with regard to prediction performances and regression coefficients led to the conclusion that the correlation to Na was the dominating mechanism on which the Vcmax , 25 and Jmax , 25 PLS models were based. The PLS regression coefficients of Na, Vcmax , 25 and Jmax , 25 showed clear signatures of nitrogen-related absorption features.
The finding that Vcmax , 25 and Jmax , 25 estimations from leaf reflectance are predominantly based on their relationships to Na has important implications for large scale estimations of these photosynthesis parameters. We suggest that future studies should focus more on large scale estimation of Na from remote sensing and estimate Vcmax , 25 and Jmax , 25 in a separate step using their respective relationships to Na.
|Persistent UFZ Identifier||https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18899|
|Dechant, B., Cuntz, M., Vohland, M., Schulz, E., Doktor, D. (2017):
Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism
Remote Sens. Environ. 196 , 279 - 292