Assessing the xanthophyll cycle in natural beech leaves with hyperspectral reflectance

Functional Plant Biology

Volumn 43, Issue 5, 2016, Pages 438-447

  Sonobe, Rei ^a   Wang, Quan ^a  

^a SHIZUOKA UNIVERSITY   (Japan)

Author keywords

derivative spectra; EPS; PRI; shaded leaf; sunlit leaf.

Indexed keywords

ABIOTIC FACTOR; ASSESSMENT METHOD; CONIFEROUS TREE; DECIDUOUS TREE; GROWTH RATE; HERB; LEAF AREA; LIGHT USE EFFICIENCY; OXIDATION; PHOTOSYNTHESIS; PIGMENT; REFLECTANCE;

FAGUS; FAGUS CRENATA;

EID: 84964670045     PISSN: 14454408     EISSN: 14454416     Source Type: Journal    
DOI: 10.1071/FP15325     Document Type: Article

References (42)

1. Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In Proceedings of the 2nd international symposium on information theory. pp. 267-291. (Akademiai Kiado: Budapest, Hungary)
2. Akaike H (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19(6), 716-723. doi:10.1109/TAC. 1974.1100705
3. Asensio D, Penuelas J, Ogaya R, Llusia J (2007) Seasonal soil and leaf CO2 exchange rates in a mediterranean holm oak forest and their responses to drought conditions. Atmospheric Environment 41(11), 2447-2455. doi:10.1016/j.atmosenv.2006.05.008
4. Barton CVM, North PRJ (2001) Remote sensing of canopy light use efficiency using the photochemical reflectance index-model and sensitivity analysis. Remote Sensing of Environment 78(3), 264-273. doi:10.1016/S0034-4257(01)00224-3
5. Bilger W, Bjorkman O, Thayer SS (1989) Light-induced spectral absorbance changes in relation to photosynthesis and the epoxidation state of xanthophyll cycle components in cotton leaves. Plant Physiology 91 (2), 542-551. doi:10.1104/pp.91.2.542
6. Bulda OV, Rassadina VV, Alekseichuk HN, Laman NA (2008) Spectrophotometric measurement of carotenes, xanthophylls, and chlorophylls in extracts from plant seeds. Russian Journal of Plant Physiology: A Comprehensive Russian Journal on Modern Phytophysiology 55(4), 544-551. doi:10.1134/S1021443708040171
7. Burns RP, Burns R (2008) Business research methods and statistics using SPSS. Available at: https://books.google.co.jp/books?id=bPvCRzBou 3gC [Verified 8 February 2016]
8. Demetriades-Shah TH, Steven MD, Clark JA (1990) High-resolution derivative spectra in remote-sensing. Remote Sensing of Environment 33(1), 55-64. doi:10.1016/0034-4257(90)90055-Q
9. Demmig-Adams B, Adams WW (1996) The role of xanthophyll cycle carotenoids in the protection of photosynthesis. Trends in Plant Science 1(1), 21-26. doi:10.1016/S1360-1385(96)80019-7
10. Demmig-Adams B, Adams WW III (2006) Photoprotection in an ecological context: The remarkable complexity of thermal energy dissipation. New Phytologist 172(1), 11-21. doi:10.1111/j.1469-8137.2006.01835.x
11. Draper NH (1998) Applied regression analysis. (Wiley Interscience: New York, NY)
12. Filella I, Amaro T, Araus JL, Penuelas J (1996) Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI). Physiologia Plantarum 96(2), 211-216. doi:10.1111/j.1399-3054.1996.tb00204.x
13. Filella I, Porcar-Castell A, Munne-Bosch S, Back J, Garbulsky MF, Penuelas J (2009) PRI assessment of long-Term changes in carotenoids/chlorophyll ratio and short-Term changes in de-epoxidation state of the xanthophyll cycle. International Journal of Remote Sensing 30(17), 4443-4455. doi:10.1080/01431160802575661
14. Gamon JA, Field CB, Bilger W, Bjorkman O, Fredeen AL, Penuelas J (1990) Remote-sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies. Oecologia 85(1), 1-7. doi:10.1007/BF00317336
15. Gamon JA, Penuelas J, Field CB (1992) A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sensing of Environment 41(1), 35-44. doi:10.1016/0034-4257(92)90059-S
16. Gamon JA, Serrano L, Surfus JS (1997) The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oecologia 112(4), 492-501. doi:10.1007/s004420050337
17. Gamon JA, Rahman AF, Dungan JL, Schildhauer M, Huemmrich KF (2006) Spectral network (specnet)-what is it and why do we need it? Remote Sensing of Environment 103(3), 227-235. doi:10.1016/j.rse. 2006.04.003
18. Garbulsky MF, Penuelas J, Gamon J, Inoue Y, Filella I (2011) The photochemical reflectance index (PRI) and the remote sensing of leaf, canopy and ecosystem radiation use efficiencies a review and metaanalysis. Remote Sensing of Environment 115(2), 281-297. doi:10.1016/j.rse.2010.08.023
19. Goerner A, Reichstein M, Tomelleri E, Hanan N, Rambal S, Papale D, Dragoni D, Schmullius C (2011) Remote sensing of ecosystem light use efficiency with modis-based PRI. Biogeosciences 8(1), 189-202. doi:10.5194/bg-8-189-2011
20. Grace J, Nichol C, Disney M, Lewis P, Quaife T, Bowyer P (2007) Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence? Global Change Biology 13(7), 1484-1497. doi:10.1111/j.1365-2486.2007.01352.x
21. Guyot G 1990. Optical properties of vegetation canopies. In Applications of remote sensing in agriculture. (Eds MD Steven, JA Clark)pp. 19-43. (Butterworths: London)
22. Hardy JT, Hoge FE, Yungel JK, Dodge RE (1992) Remote detection of coral bleaching using pulsed-laser fluorescence spectroscopy. Marine Ecology Progress Series 88(2-3), 247-255. doi:10.3354/meps088247
23. Howarth JF, Durako MJ (2013) Variation in pigment content of Thalassia testudinumseedlings in response to changes in salinity and light. Botanica Marina 56(3), 261-273. doi:10.1515/bot-2012-0226
24. Kawabata Y, Takeda S (2014) Regulation of xanthophyll cycle pool size in response to high light irradiance in Arabidopsis. Plant Biotechnology 31(3), 229-240. doi:10.5511/plantbiotechnology.14.0609a
25. Krause GH, Vernotte C, Briantais JM (1982) Photoinduced quenching of chlorophyll fluorescence in intact chloroplasts and algae. Resolution into two components. Biochimica et Biophysica Acta (BBA)-Bioenergetics 679(1), 116-124. doi:10.1016/0005-2728(82)90262-6
26. Liu J, Li P, Wang X (2015) A new segmentation method for very high resolution imagery using spectral and morphological information. ISPRS Journal of Photogrammetry and Remote Sensing 101, 145-162. doi:10.1016/j.isprsjprs.2014.11.009
27. Miszalski Z, Kornas A, Rozpadek P, Fischer-Schliebs E, Luettge U (2013) Independent fluctuations of malate and citrate in the cam species Clusia hilariana schltdl. under low light and high light in relation to photoprotection. Journal of Plant Physiology 170(5), 453-458. doi:10.1016/j.jplph.2012.11.005
28. Nichol CJ, Huemmrich KF, Black TA, Jarvis PG, Walthall CL, Grace J, Hall FG (2000) Remote sensing of photosynthetic-light-use efficiency of boreal forest. Agricultural and Forest Meteorology 101(2-3), 131-142. doi:10.1016/S0168-1923(99)00167-7
29. Powles S (1984) Photoinhibition of photosynthesis induced by visible light. Annual Review of Plant Physiology 35, 15-44. doi:10.1146/annurev. pp.35.060184.000311
30. Sha Z, Brown DG, Xie Y, Welsh WF, Bai Y (2014) Response of spectral vegetation indices to a stocking rate experiment in inner Mongolia, China. Remote Sensing Letters 5(10), 912-921. doi:10.1080/2150704X.2014. 976882
31. Shaw BP (1995) Changes in the levels of photosynthetic pigments in Phaseolus aureus Roxb. exposed to Hg and Cd at 2 stages of development: A comparative-study. Bulletin of Environmental Contamination and Toxicology 55(4), 574-580. doi:10.1007/BF00196038
32. Shay P-E, Kubien DS(2013) Field analysis of photoprotection in co-occurring cool climate C3 and C4 grasses. Physiologia Plantarum 147(3), 316-328. doi:10.1111/j.1399-3054.2012.01662.x
33. Simionato D, Basso S, Zaffagnini M, Lana T, Marzotto F, Trost P, Morosinotto T (2015) Protein redox regulation in the thylakoid lumen: The importance of disulfide bonds for violaxanthin de-epoxidase. FEBS Letters 589(8), 919-923. doi:10.1016/j.febslet.2015.02.033
34. Song C, White BL, Heumann BW (2011) Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands. Remote Sensing Letters 2(3), 221-230. doi:10.1080/01431161.2010.514305
35. Stagakis S, Markos N, Sykioti O, Kyparissis A (2014) Tracking seasonal changes of leaf and canopy light use efficiency in a Phlomis fruticosa mediterranean ecosystem using field measurements and multi-Angular satellite hyperspectral imagery. ISPRS Journal of Photogrammetry and Remote Sensing 97, 138-151. doi:10.1016/j.isprsjprs.2014.08.012
36. Suárez L, Zarco-Tejada PJ, González-Dugo V, Berni JAJ, Sagardoy R, Morales F, Fereres E (2010) Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery. Remote Sensing of Environment 114(2), 286-298. doi:10.1016/j.rse.2009.09.006
37. Thayer SS, Bjorkman O (1990) Leaf xanthophyll content and composition in sun and shade determined by HPLC. Photosynthesis Research 23(3), 331-343. doi:10.1007/BF00034864
38. Tsai F, Philpot W (1998) Derivative analysis of hyperspectral data. Remote Sensing of Environment 66(1), 41-51. doi:10.1016/S0034-4257(98) 00032-7
39. Wang Q, Iio A, Kakubari Y (2008a) Broadband simple ratio closely traced seasonal trajectory of canopy photosynthetic capacity. Geophysical Research Letters 35(7), L07401. doi:10.1029/2008GL033619
40. Wang Q, Iio A, Tenhunen J, Kakubari Y (2008b) Annual and seasonal variations in photosynthetic capacity of Fagus crenata along an elevation gradient in the Naeba Mountains, Japan. Tree Physiology 28 (2), 277-285. doi:10.1093/treephys/28.2.277
41. WongCYS, Gamon JA (2015) Three causes of variation in the photochemical reflectance index (PRI) in evergreen conifers. New Phytologist 206(1), 187-195. doi:10.1111/nph.13159
42. Yamamoto H, Kamite L (1972) The effects of dithiothreitol on violaxanthin de-epoxidation and absorbance changes in the 500-nm region. Biochimica et Biophysica Acta 267, 538-543. doi:10.1016/0005-2728(72)90182-X