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Global synthesis of leaf area index observations: implications for ecological and remote sensing studies
Abstract
Aim We present the first global synthesis of plant canopy leaf area index (LAI) measurements from more than 1000 published estimates representing ∼400 unique field sites. LAI is a key variable for regional and global models of biosphere‐atmosphere exchanges of energy, carbon dioxide, water vapour, and other materials. Location The location is global, geographically distributed. Results Biomes with LAI values well represented in the literature included croplands, forests and plantations. Biomes not well represented were deserts, shrublands, tundra and wetlands. Nearly 40% of the records in the database were published in the past 10 years (1991–2000), with a further 20% collected between 1981 and 1990. Mean (± SD) LAI, distributed between 15 biome classes, ranged from 1.3 ± 0.9 for deserts to 8.7 ± 4.3 for tree plantations, with temperate evergreen forests (needleleaf and broadleaf) displaying the highest average LAI (5.1–6.7) among the natural terrestrial vegetation classes. Following a statistical outlier analysis, the global mean (± SD) LAI decreased from 5.2 (4.1) to 4.5 (2.5), with a maximum LAI of 18. Biomes with the highest LAI values were plantations > temperate evergreen forests > wetlands. Those with the lowest LAI values were deserts < grasslands < tundra. Mean LAI values for all biomes did not differ statistically by the methodology employed. Direct and indirect measurement approaches produced similar LAI results. Mean LAI values for all biomes combined decreased significantly in the 1990s, a period of substantially more studies and improved methodologies. Main conclusions Applications of the LAI database span a wide range of ecological, biogeochemical, physical, and climate research areas. The data provide input to terrestrial ecosystem and land‐surface models, for evaluation of global remote sensing products, for comparisons to field studies, and other applications. Example uses of the database for global plant productivity, fractional energy absorption, and remote sensing studies are highlighted.
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Cites
Procedures for Detecting Outlying Observations in Samples
Grubbs, F. E. (1969) · Technometrics · doi:10.1080/00401706.1969.10490657 · Cited by 4,105
Running, S. W., & Coughlan, J. C. (1988) · Ecological Modelling · doi:10.1016/0304-3800(88)90112-3 · Cited by 1,479
Defining leaf area index for non‐flat leaves
CHEN, J. M., & BLACK, T. A. (1992) · Plant, Cell & Environment · doi:10.1111/j.1365-3040.1992.tb00992.x · Cited by 1,475
Biophysical and Biochemical Sources of Variability in Canopy Reflectance
Asner, G. P. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00014-5 · Cited by 1,281
Self-citationGlobal net primary production: Combining ecology and remote sensing
Field, C. B., Randerson, J. T., & Malmström, C. M. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)00066-v · Cited by 1,256
Gower, S. T., Kucharik, C. J., & Norman, J. M. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(99)00056-5 · Cited by 1,240
Estimation of global leaf area index and absorbed par using radiative transfer models
Myneni, R. B., Ramakrishna, R., Nemani, R., & Running, S. W. (1997) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.649788 · Cited by 1,014
Instrument for Indirect Measurement of Canopy Architecture
Welles, J. M., & Norman, J. M. (1991) · Agronomy Journal · doi:10.2134/agronj1991.00021962008300050009x · Cited by 916
Review and assessment of methane emissions from wetlands
Bartlett, K. B., & Harriss, R. C. (1993) · Chemosphere · doi:10.1016/0045-6535(93)90427-7 · Cited by 745
Running, S. W., & Gower, S. T. (1991) · Tree Physiology · doi:10.1093/treephys/9.1-2.147 · Cited by 669
Research works printed but not linked: 20
- 10.1080/01431160050110188 · doi:10.1080/01431160050110188
- 10.1093/treephys/18.3.185 · doi:10.1093/treephys/18.3.185
- 10.1109/36.387593 · doi:10.1109/36.387593
- 10.1016/0034-4257(95)00195-6 · doi:10.1016/0034-4257(95)00195-6
- Chen J.M., 1997, Leaf area index of boreal forests: theory, techniques and measurements, Journal of Geophysics Research — Atmospheres, 102, 29
- 10.2307/1937474 · doi:10.2307/1937474
- 10.1016/S0378-1127(97)00068-6 · doi:10.1016/s0378-1127(97)00068-6
- 10.1016/S0034-4257(97)00042-4 · doi:10.1016/s0034-4257(97)00042-4
- 10.1016/S0168-1923(98)00064-1 · doi:10.1016/s0168-1923(98)00064-1
- 10.1029/1999JD900101 · doi:10.1029/1999jd900101
- 10.1016/0022-4073(93)90003-Z · doi:10.1016/0022-4073(93)90003-z
- Olson R.J., 2001, Global and regional ecosystem modeling: databases of model drivers and validation measurements., 81
- 10.1007/BF00142431 · doi:10.1007/bf00142431
- Schulze E.‐D., 1982, Encyclopedia of plant physiology. New Series, 12B, 615
- Scurlock et al., 1996, Article title, Journal, 00, 000
- 10.1175/1520-0477(1988)069<0022:TFIFE>2.0.CO;2 · doi:10.1175/1520-0477(1988)069
- Sokal R.R., 1981, Biometry, 413
- 10.1007/BF00036048 · doi:10.1007/bf00036048
- 10.1016/S0034-4257(00)00119-X · doi:10.1016/s0034-4257(00)00119-x
- 10.1016/S0034-4257(98)00012-1 · doi:10.1016/s0034-4257(98)00012-1
Cited by
The biomass distribution on Earth
Bar-On, Y. M., Phillips, R., & Milo, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711842115 · Cited by 3,723
The direct drivers of recent global anthropogenic biodiversity loss
Jaureguiberry, P., Titeux, N., Wiemers, M., Bowler, D. E., Coscieme, L., Golden, A. S., Guerra, C. A., Jacob, U., Takahashi, Y., Settele, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm9982 · Cited by 1,121
Ecological Lessons from Free-Air CO 2 Enrichment (FACE) Experiments
Norby, R. J., & Zak, D. R. (2011) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-102209-144647 · Cited by 681
McGuire, A. D., Christensen, T. R., Hayes, D., Heroult, A., Euskirchen, E., Kimball, J. S., Koven, C., Lafleur, P., Miller, P. A., Oechel, W., et al. (2012) · Biogeosciences · doi:10.5194/bg-9-3185-2012 · Cited by 375
Fisher, R. A., Muszala, S., Verteinstein, M., Lawrence, P., Xu, C., McDowell, N. G., Knox, R. G., Koven, C., Holm, J., Rogers, B. M., et al. (2015) · Geoscientific Model Development · doi:10.5194/gmd-8-3593-2015 · Cited by 337
Metadata
- Authors
- Asner, G. P., Scurlock, J. M. O., & A. Hicke, J.
- Venue
- Global Ecology and Biogeography
- Publisher
- Wiley
- Published
- 2003-04-11
- Volume
- 12
- Issue
- 3
- Pages
- 191-205
- ISSN
- 1466-822X (ISSN-L)
- 1466-8238
- OpenAlex
- W2161491521
- Cited by
- 936
- References
- 30
- FWCI
- 20.56
- Type
- journal article
- Language
- en
- Open access
- closed
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