Global dependence of field-observed leaf area index in woody species on climate: A systematic review

Global Ecology and Biogeography

Volumn 23, Issue 3, 2014, Pages 274-285

  Iio, Atsuhiro ^a   Hikosaka, Kouki ^b,c   Anten, Niels P R ^d   Nakagawa, Yoshiaki ^e   Ito, Akihiko ^a  

^a NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^b TOHOKU UNIVERSITY   (Japan)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^d WAGENINGEN UNIVERSITY   (Netherlands)

^e UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

Global scale; Leaf area index; Plant functional type; Temperature; Wetness index; Woody species

Indexed keywords

EID: 84893854983     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/geb.12133     Document Type: Article

References (49)

1. Allen, R.G., Pereira, L.S., Raes, D. & Smith, M. (1998) Crop evapotranspiration (guidelines for computing crop water requirements: guidelines for computing crop water requirements). FAO Irrigation and Drainage Paper no. 56. FAO, Rome.
2. Anten, N.P.R., Schieving, F., Medina, M., Werger, M.J.A. & Schuffelen, P. (1995) Optimal leaf area indices in C3 and C4 mono- and dicotyledonous species at low and high nitrogen availability. Physiologia Plantarum, 95, 541-550.
3. Asner, G.P., Scurlock, J.M.O. & Hicke, J.A. (2003) Global synthesis of leaf area index observations: implications for ecological and remote sensing studies. Global Ecology and Biogeography, 12, 191-205.
4. Barclay, H.J. (1998) Conversion of total leaf area to projected leaf area in lodgepole pine and douglas-fir. Tree Physiology, 18, 185-193.
5. Battaglia, M., Cherry, M., Beadle, C., Sands, P. & Hingston, A. (1998) Prediction of leaf area index in eucalypt plantations: effects of water stress and temperature. Tree Physiology, 18, 521-528.
6. Bréda, N.J.J. (2003) Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. Journal of Experimental Botany, 54, 2403-2417.
7. Cannell, M.G.R. (1982) World forest biomass and primary production data, p. 391. Academic Press, New York.
8. Chappell, R. (1989) Fitting bent lines to data, with applications to allometry. Journal of Theoretical Biology, 138, 235-256.
9. Chen, J.M. & Black, T.A. (1992) Defining leaf area index for non-flat leaves. Plant, Cell and Environment, 15, 421-429.
10. Craine, J.M., Elmore, A.J., Aidar, M.P.M., Bustamante, M., Dawson, T.E., Hobbie, E.A., Kahmen, A., Mack, M.C., McLauchlan, K.K., Michelsen, A., Nardoto, G.B., Pardo, L.H., Peñuelas, J., Reich, P.B., Schuur, E.A.G., Stock, W.D., Templer, P.H., Virginia, R.A., Welker, J.M. & Wright, I.J. (2009) Global patterns of foliar nitrogen isotopes and their relationships with climate. Mycorrhizal fungi, foliar nutrient concentrations, and nitrogen availability. New Phytologist, 183, 980-992.
11. Dobbertin, M., Eilmann, B., Bleuler, P., Giuggiola, A., Pannatier, E.G., Landolt, W., Schleppi, P. & Rigling, A. (2010) Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest. Tree Physiology, 30, 346-360.
12. Erisman, J.W. & Draaijers, G. (2003) Deposition to forests in Europe: most important factors influencing dry deposition and models used for generalisation. Environmental Pollution, 124, 379-388.
13. Fassnacht, K.S. & Gower, S.T. (1997) Interrelationships among the edaphic and stand characteristics, leaf area index, and aboveground net primary production of upland forest ecosystems in north central Wisconsin. Canadian Journal of Forest Research, 27, 1058-1067.
14. Garrigues, S., Lacaze, R., Baret, F., Morisette, J.T., Weiss, M., Nickeson, J.E., Fernandes, R., Plummer, R., Shabanov, N.V., Myneni, R.B., Knyazikhin, Y. & Yang, W. (2008) Validation and intercomparison of global leaf area index products derived from remote sensing data. Journal of Geophysical Research, 113, G02028.
15. Gower, S.T., Reich, P.B. & Son, Y. (1993) Canopy dynamics and aboveground production of five tree species with different leaf longevities. Tree Physiology, 12, 327-345.
16. Gower, S.T., Kucharik, C.J. & Norman, J.M. (1999) Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sensing of Environment, 70, 29-51.
17. Granier, A., Loustau, D. & Bréda, N. (2000) A generic model of forest canopy conductance dependent on climate, soil water availability and leaf area index. Annals of Forest Science, 57, 755-765.
18. Grier, C.G. & Running, S.W. (1977) Leaf area of mature northwestern coniferous forests: relation to site water balance. Ecology, 58, 893-899.
19. Hikosaka, K. (2003) A model of dynamics of leaves and nitrogen in a plant canopy: an integration of canopy photosynthesis, leaf life span, and nitrogen use efficiency. The American Naturalist, 162, 149-164.
20. Hikosaka, K. & Hirose, T. (1997) Leaf angle as a strategy for light competition: optimal and evolutionarily stable light-extinction coefficient within a canopy. Ecoscience, 4, 501-507.
21. Ito, A. & Oikawa, T. (2002) A simulation model of the carbon cycle in land ecosystems (Sim-CYCLE): a description based on dry-matter production theory and plot-scale validation. Ecological Modelling, 151, 143-176.
22. Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P., Weiss, M. & Baret, F. (2004) Review of methods for in situ leaf area index determination: part I. theories, sensors and hemispherical photography. Agricultural and Forest Meteorology, 121, 19-35.
23. Kira, T. (1991) Forest ecosystems of East and Southeast Asia in a global perspective. Ecological Research, 6, 185-200.
24. Kucharik, C., Norman, J., Murdock, L. & Gower, S. (1997) Characterizing canopy nonrandomness with a multiband vegetation imager (MVI). Journal of Geophysical Research, 102, 29455-29473.
25. Ladd, B., Bonser, S.P., Peri, P.L., Larsen, J.R., Laffan, S.W., Pepper, D.A. & Cendón, D.I. (2009) Towards a physical description of habitat: quantifying environmental adversity (abiotic stress) in temperate forest and woodland ecosystems. Journal of Ecology, 97, 964-971.
26. Larcher, W. (2003) Physiological plant ecology: ecophysiology and stress physiology of functional groups, 4th edn, p. 513. Springer-Verlag, Berlin.
27. Liu, J., Chen, J., Cihlar, J. & Park, W. (1997) A process-based boreal ecosystem productivity simulator using remote sensing inputs. Remote Sensing of Environment, 62, 158-175.
28. Luo, T., Pan, Y., Ouyang, H., Shi, P., Luo, J., Yu, Z. & Lu, Q. (2004) Leaf area index and net primary productivity along subtropical to alpine gradients in the Tibetan plateau. Global Ecology and Biogeography, 13, 345-358.
29. 2]-induced enhancement of productivity and partitioning among aboveground carbon pools. Proceedings of the National Academy of Sciences USA, 103, 19356-19361.
30. 2 amplified when water is limiting, but reduced when nitrogen is limiting? A growth-optimisation hypothesis. Functional Plant Biology, 35, 521-534.
31. New, M., Lister, D., Hulme, M. & Makin, I. (2002) A high-resolution data set of surface climate over global land areas. Climate Research, 21, 1-25.
32. Niinemets, Ü. (2010) A review of light interception in plant stands from leaf to canopy in different plant functional types and in species with varying shade tolerance. Ecological Research, 25, 693-714.
33. Niinemets, Ü. & Anten, N.P.R. (2009) Packing the photosynthetic machinery: from leaf to canopy. Photosynthesis in silico. Advances in photosynthesis and respiration, Vol. 29 (ed. by A. Laisk, L. Nedbal and Govindjee), pp. 363-399. Springer Press, Dordrecht.
34. 2 is conserved across a broad range of productivity. Proceedings of the National Academy of Sciences USA, 102, 18052-18056.
35. Peel, M.C., Finlayson, B.L. & McMahon, T.A. (2007) Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences Discussion, 4, 1633-1644.
36. Pisek, J., Chen, J.M. & Nilson, T. (2011) Estimation of vegetation clumping index using MODIS BRDF data. International Journal of Remote Sensing, 32, 2645-2657.
37. R Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org/ (accessed 22 October 2013).
38. Robinson, C.H. (2002) Controls on decomposition and soil nitrogen availability at high latitudes. Plant and Soil, 242, 65-81.
39. Running, S.W. & Coughlan, J.C. (1988) A general model of forest ecosystem processes for regional applications I. hydrologic balance, canopy gas exchange and primary production processes. Ecological Modelling, 42, 125-154.
40. Ryan, M., Binkley, D. & Fownes, J.H. (1997) Age-related decline in forest productivity: pattern and process. Advances in Ecological Research, 27, 213-262.
41. Santiago, L.S., Goldstein, G., Meinzer, F.C., Fownes, J.H. & Mueller-Dombois, D. (2000) Transpiration and forest structure in relation to soil waterlogging in a Hawaiian montane cloud forest. Tree Physiology, 20, 673-681.
42. Schleppi, P., Thimonier, A. & Walthert, L. (2010) Estimating leaf area index of mature temperate forests using regressions on site and vegetation data. Forest Ecology and Management, 261, 601-610.
43. Schulze, E.D. (2006) Biological control of the terrestrial carbon sink. Biogeosciences, 3, 147-166.
44. Schuur, E.A., Chadwick, O.A. & Matson, P.A. (2001) Carbon cycling and soil carbon storage in mesic to wet Hawaiian montane forests. Ecology, 82, 3182-3196.
45. Sellers, P.J., Randall, D.A., Collatz, G.J., Berry, J.A., Field, C.B., Dazlich, D.A., Zhang, C., Collelo, G.D. & Bounoua, L. (1996) A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: model formulation. Journal of Climate, 9, 676-705.
46. Stenberg, P., Linder, S., Smolander, H. & Flower-Ellis, J. (1994) Performance of the LAI-2000 plant canopy analyzer in estimating leaf area index of some Scots pine stands. Tree Physiology, 14, 981-995.
47. Sterck, F., Markesteijn, L., Schieving, F. & Poorter, L. (2011) Functional traits determine trade-offs and niches in a tropical forest community. Proceedings of the National Academy of Sciences USA, 108, 20627-20632.
48. Van Cleve, K., Oliver, L. & Schlentner, R. (1983) Productivity and nutrient cycling in taiga forest ecosystems. Canadian Journal of Forest Research, 13, 747-766.
49. Wright, I.J., Reich, P.B., Westoby, M. etal. (2004) The worldwide leaf economics spectrum. Nature, 428, 821-827.