Leaf area index estimation of even-aged oak (Quercus petraea) forests using in situ stand dendrometric parameters
| Autor: | M. Briere, C. François, F. Lebourgeois, I. Seynave, G. Vincent, N. Korboulewsky, F. Ningre, T. Perot, S. Perret, A. Calas, E. Dufrêne |
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| Přispěvatelé: | Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Estimation 010504 meteorology & atmospheric sciences Mean squared error Java biology Forestry 15. Life on land biology.organism_classification 01 natural sciences Basal area Data set [SDE]Environmental Sciences Quercus petraea Leaf area index Quadratic mean diameter computer 010606 plant biology & botany 0105 earth and related environmental sciences Mathematics computer.programming_language |
| DOI: | 10.1101/2021.08.05.454476 |
| Popis: | The leaf area index (LAI) is a key characteristic of forest stand aboveground net productivity (ANP), and many methods have been developed to estimate the LAI. However, every method has flaws, e.g., methods may be destructive, require means or time and/or show intrinsic bias and estimation errors.A relationship using basal area (G) and stand age to estimate LAI was proposed by Sonohat et al. (2004). We used literature data in addition to data form measurements campaign made in the northern half of France to build a data set with large ranges of pedoclimatic conditions, stand age and measured LAI. We validated the Sonohat et al. (2004) relationship and attempted to improve or modify it using other stand/dendrometric characteristics that could be predictors of the LAI.The result is a series of three models using the G, age and/or quadratic mean diameter (Dg), and the models were able to estimate the LAI of an oak only even-aged forest stand with good confidence (root mean square error, RMSE < 0.75) While G is the main predictor here, age and Dg could be used conjointly or exclusively given the available data, with variable precision in the estimations.Although these models could not, by construction, relate to the interannual variability of the LAI, they may provide the theoretical LAI of an untouched forest (no meteorological, biotic or anthropogenic perturbation) in recent years. additionally, the use of this model may be more interesting than an LAI measurement campaign, depending on the means to be invested in such a campaign. |
| Databáze: | OpenAIRE |
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