Assessment of oak forest condition based on leaf biochemical variables and chlorophyll fluorescence

Tree Physiology

Volumn 26, Issue 11, 2006, Pages 1487-1496

  Rossini, Micol ^a   Panigada, Cinzia ^a   Meroni, Michele ^a   Colombo, Roberto ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Foliar pigments; Leaf reflectance; Optical indices; Photosynthetic efficiency; Quercus robur; Stress detection

Indexed keywords

CHLOROPHYLL; CONSERVATION MANAGEMENT; DECIDUOUS FOREST; ENVIRONMENTAL ASSESSMENT; ENVIRONMENTAL EFFECT; ENVIRONMENTAL MONITORING; FLUORESCENCE; FOREST MANAGEMENT; LEAF; PHYTOCHEMISTRY; VISUAL ANALYSIS;

EURASIA; EUROPE; ITALY; LOMBARDY; SOUTHERN EUROPE; TICINO PARK;

INSECTA; QUERCUS ROBUR;

EID: 37849187608     PISSN: 0829318X     EISSN: None     Source Type: Journal    
DOI: 10.1093/treephys/26.11.1487     Document Type: Article

References (57)

1. Biswall, B. 1995. Carotenoid catabolism during leaf senescence and its control by light. J. Photochem. Photobiol. 30:3-14.
2. Broge, N.H. and E. Leblanc. 2001. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density. Remote Sens. Environ. 76:156-172.
3. Carter, G.A. 1994. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress. Int. J. Remote Sens. 15:697-703.
4. Carter, G.A. and A.K. Knapp. 2001. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. Am. J. Bot. 88:677-684.
5. Clark, A.J., W. Landolt, J.B. Bucher and R.J. Strasser. 2000. Beech (Fagus sylvatica L.) response to ozone exposure assessed with a chlorophyll a fluorescence performance index. Environ. Pollut. 109:501-507.
6. Cohen, W.B., T.K. Maiersperger, S.T. Gower and D.P. Turner. 2003. An improved strategy for regression of biophysical variables and Landsat ETM+ data. Remote Sens. Environ. 84:561-571.
7. Coops, N.C., C. Stone, D.S. Culvenor and L. Chisholm. 2004. Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices. J. Environ. Qual. 33:956-964.
8. Curran, P.J. and A. Hay. 1986. The importance of measurement error for certain procedures in remote sensing at optical wavelengths. Photogramm. Eng. Remote Sens. 52:229-241.
9. Curran, P.J. and C.M. Steele. 2005. MERIS: the re-branding of an ocean sensor. Int. J. Remote Sens. 26:1781-1798.
10. Curran, P.J., J.L. Dungan and H.L. Gholz. 1990. Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. Tree Physiol. 7:33-48.
11. Dash, J. and P.J. Curran. 2004. The MERIS terrestrial chlorophyll index. Int. J. Remote Sens. 25:5403-5413.
12. Datt, B. 1998. Remote sensing of chlorophyll a, chlorophyll b, chlorophyll a + b and total carotenoid content in Eucalyptus leaves. Remote Sens. Environ. 66:111-121.
13. Demmig-Adams, B. and W.W. Adams III. 1996. Xanthophyll cycle and light stress in nature: uniform response to excess direct sunlight among higher plant species. Planta 198:460-470.
14. Evain, S., J. Flexas and I. Moya. 2004. A new instrument for passive remote sensing: 2. Measurement of leaf and canopy reflectance changes at 531 nm and their relationship with photosynthesis and chlorophyll fluorescence. Remote Sens. Environ. 91:175-185.
15. Ferretti, M. 1997. Forest health assessment and monitoring - issues for consideration. Environ. Monit. Assess. 48:45-72.
16. Ferretti, M. 1998. Potential and limitation of visual indices of tree condition. Chemosphere 36:1031-1036.
17. Gamon, J.A., J. Peñuelas and C.B. Field. 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens. Environ. 41:35-44.
18. Gamon, J.A., L. Serrano and J.S. Surfus. 1997. The photochemical reflectance index: an optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oecologia 112:492-501.
19. Gitelson, A.A. and M.N. Merzlyak. 1994. Spectral reflectance changes associate with autumn senescence of Aesculus hlppocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. J. Plant Physiol. 143:286-292.
20. Gitelson, A.A., Y. Zur, O.B. Chivkunova and M.N. Merzlyak. 2002. Assessing carotenoid content in plant leaves with reflectance spectroscopy. Photochem. Photobiol. 75:272-281.
21. Gong, P., R. Pu, G.S. Biging and M.R. Larrieu. 2003. Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data. IEEE T. Geosci. Remote Sens. 41:1355-1362.
22. Hermans, C., M. Smeyers, R. Maldonado Rodriguez, M. Eyletters, R.J. Strasser and J. Delhaye. 2003. Quality assessment of urban trees: a comparative study of physiological characterisation, airborne imaging and on site fluorescence monitoring by the OJIP-test. J. Plant Physiol. 160:81-90.
23. Horler, D.N.H., M. Dockray and J. Barber. 1983. The red edge of plant leaf reflectance. Int. J. Remote Sens. 4:273-288.
24. Innes, J.L. 1995. Theoretical and practical criteria for the selection of ecosystem monitoring plots in Swiss forests. Environ. Monit. Assess. 36:271-294.
25. Jonckheere, I., K. Fleck, B. Muys, P. Coppin, M. Weiss and F. Baret. 2004. Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography. Agric. For. Meteorol. 121:19-35.
26. Kitajima, H. and W.L. Butler. 1975. Quenching of chlorophyll fluorescence and primary photochemistry in chloroplasts by dibromothymoquinone. Biochim. Biophys. Acta 376:105-115.
27. Lee, K.S., W.B. Cohen, R.E. Kennedy, T.K. Maiersperger and S.T. Gower. 2004. Hyperspectral versus multispectral data for estimating leaf area index in four different biomes. Remote Sens. Environ. 91:508-520.
28. Le Maire, G., C. Francois and E. Dufrene. 2004. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements. Remote Sens. Environ. 89:1-28.
29. Li-Cor. 1983. LI-1800-12 Integrating sphere instruction manual, 8305-0034. LI-COR, Lincoln, Nebraska, 18 p.
30. Lorenzini, G. and C. Nali. 2005. Le piante e l'inquinamento dell'aria. Springer-Verlag, Italia, 272 p.
31. Louis, J., A. Ounis, J.M. Ducruet, S. Evain, T. Laurila, T. Thum, M. Aurela, G. Wingsle, L. Alonso, R. Pedros and I. Moya. 2005. Remote sensing of sunlight-induced chlorophyll fluorescence and reflectance of Scots pine in the boreal forest during spring recovery. Remote Sens. Environ. 96:37-48.
32. Maldonado Rodriguez, R. 1998-2002. http://www.unige.ch/sciences/biologie/ bioen/jipsoftware.html.
33. Markwell, J., J. Osterman and J.L. Mitchll. 1995. Calibration of the Minolta SPAD-502 leaf chlorophyll meter. Photosynth. Res. 46:467-472.
34. Merzlyak, M.N. and A.A. Gitelson. 1995. Why and what for the leaves are yellow in autumn? On the interpretation of optical spectra of senescing leaves (Acer platanoides L.). J. Plant Physiol. 145:315-320.
35. Méthy, M., C. Damesin and S. Rambal. 1996. Drought and photosystem II activity in two Mediterranean oaks. Ann. Sci. For. 53:255-262.
36. Papageorgiou, G.C. and Govindjee. 2004. Chlorophyll a fluorescence - a signature of photosynthesis. In Advances in Photosynthesis and Respiration. Vol. 19. Springer-Verlag, Dordrecht, 820 p.
37. Peñuelas, J., S. Munne-Bosch, J. Llusià and I. Filella. 2004. Leaf reflectance and photo- and antioxidant protection in field-grown summer-stressed Phillyrea angustifolia. Optical signals of oxidative stress? New Phytol. 162:115-124.
38. Porra, R.J., W.A. Thompson and P.E. Kriedemann. 1989. Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: verification of the concentration of chlorophyll standards by atomic absorption spectroscopy. Biochim. Biophys. Acta 975:384-394.
39. Richardson, A.D., G.P. Berlyn and T.G. Gregoire. 2001. Spectral reflectance of Picea rubens (Pinaceae) and Abies balsamea (Pinaceae) needles along an elevational gradient. Mt. Moosilauke, New Hampshire. Am. J. Bot. 88:667-676.
40. Sampson, P.H., P.J. Zarco-Tejada, G.H. Mohammed, J.R. Miller, T.L. Noland and R.L. Fleming. 2003. Hyperspectral remote sensing of forest condition: estimation of chlorophyll content in tolerant hardwoods. For. Sci. 49:381-391.
41. Savitzky, A. and M.J.E. Golay. 1964. Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 36:1627-1639.
42. Sims, D.A. and J.A. Gamon. 2002. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages. Remote Sens. Environ. 81:337-354.
43. Strasser, B.J. and R.J. Strasser. 1995. Measuring fast fluorescence transients to address environmental questions: the JIP-test. In Photosynthesis: from Light to Biosphere. Ed. P. Mathis. Kluwer Academic Publishers, Dordrecht, pp 977-980.
44. Strasser, R.J., A. Srivastava and M. Tsimilli-Michael. 1999. Screening the vitality and photosynthetic activity of plants by fluorescence transient. In Crop Improvement for Food Security. Eds. R.K. Behl, M.S. Punia and B.P.S. Lather. SSARM, Hisar, pp 72-115.
45. Strasser, R.J., A. Srivastava and M. Tsimilli-Michael. 2000. The fluorescence transient as a tool to characterise and screen photosynthetic samples. In Probing Photosynthesis: Mechanisms, Regulation and Adaptation. Eds. M. Yunus, U. Pathre and P. Mohanty. Taylor and Francis. London, pp 445-483.
46. Stylinski, C.D., J.A. Gamon and W.C. Oechel. 2002. Seasonal patterns of reflectance indices, carotenoid pigments and photosynthesis of evergreen chaparral species. Oecologia 131:366-374.
47. Taiz, L. and E. Zeiger. 1998. Plant physiology. 2nd Edn. Sinauer Associates Ltd., Sunderland, MA, 792 p.
48. Tsimilli-Michael, M., P. Eggenberg, B. Biro, K. Köves-Péchy, I. Vörös and R.J. Strasser. 2000. Synergistic and antagonistic effects of arbuscular mycorrhizal fungi and Azospirillum and Rhizobium nitrogen-fixers on the photosynthetic activity of alfalfa, probed by the polyphasic chlorophyll a fluorescence transient O-J-I-P. Appl. Soil. Ecol. 15:169-182.
49. UNECE. 1998. Manual on methods and criteria for harmonizing sampling, assessment, monitoring and analysis of the effects of air pollution on forests. International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests, Hamburg, Germany, 177 p. Available at www.icp-forests.org.
50. UNECE. 2004a. The condition of forests in Europe. 2004 Executive report. Federal Research Centre for Forestry and Forest Products, (BHF), Geneva, Germany, 51 p. Available at www.icp-forests.org.
51. UNECE. 2004b. Manual on methods and criteria for harmonizing sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Visual assessment of crown condition, including assessment of damage causes. International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests, Hamburg, Germany, 77 p. Available at www.icp-forests.org.
52. Weiss, M., F. Baret, G.J. Smith, I. Jonckheere and P. Coppin. 2004. Review of methods for in situ leaf area index (LAI) determination. Part II. Estimation of LAI, errors and sampling. Agric. For. Meteorol. 121:37-53.
53. Winkel, T., M. Méthy and F. Thénot. 2002. Radiation use efficiency, chlorophyll fluorescence, and reflectance indices associated with ontogenic changes in water-limited Chenopodium quinoa leaves. Photosynthetica 40:227-232.
54. Young, A. and G. Britton. 1990. Carotenoids and stress. In Stress Responses in Plants: Adaptation and Acclimation Mechanisms. Eds. R.G. Alscher and J.R. Cumming. Wiley-Liss, New York, pp 87-112.
55. Zarco-Tejada, P.J., J.R. Miller, T.L. Noland, G.H. Mohammed and P.H. Sampson. 2001. Scaling-up and model inversion methods with narrow band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data. IEEE Trans. Geosci. Remote Sens. 39:1491-1507.
56. Zarco-Tejada, P.J., J.R. Miller, G.H. Mohammed, T.L. Noland and P.H. Sampson. 2002. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery. J. Environ. Qual. 31:1433-1441.
57. Zarco-Tejada, P.J., A. Berjón, R. López-Lozano, J.R. Miller, P. Martín, V. Cachorro, M.R. González and A. de Frutos. 2005. Assessing vineyard condition with hyperspectral indices: leaf and canopy reflectance simulation in a row-structured discontinuous canopy. Remote Sens. Environ. 99:271-287.