Literature DB >> 14565947

Ground-based measurements of leaf area index: a review of methods, instruments and current controversies.

Nathalie J J Bréda1.   

Abstract

Leaf area index (LAI) is the total one-sided area of leaf tissue per unit ground surface area. It is a key parameter in ecophysiology, especially for scaling up the gas exchange from leaf to canopy level. It characterizes the canopy-atmosphere interface, where most of the energy fluxes exchange. It is also one of the most difficult to quantify properly, owing to large spatial and temporal variability. Many methods have been developed to quantify LAI from the ground and some of them are also suitable for describing other structural parameters of the canopy. This paper reviews the direct and indirect methods, the required instruments, their advantages, disadvantages and accuracy of the results. Analysis of the literature shows that most cross-validations between direct and indirect methods have pointed to a significant underestimation of LAI with the latter techniques, especially in forest stands. The two main causes for the discrepancy, clumping and contribution of stem and branches, are discussed and some recent theoretical or technical solutions are presented as potential improvements to reduce bias or discrepancies. The accuracy, sampling strategy and spatial validity of the LAI measurements have to be assessed for quality assurance of both the measurement and the modelling purposes of all the LAI-dependent ecophysiological and biophysical processes of canopies.

Mesh:

Year:  2003        PMID: 14565947     DOI: 10.1093/jxb/erg263

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  55 in total

1.  Leaf area index of a tropical semi-deciduous forest of the southern Amazon Basin.

Authors:  Osvaldo Borges Pinto-Júnior; Luciana Sanches; Francisco de Almeida Lobo; Adilson Amorim Brandão; José de Souza Nogueira
Journal:  Int J Biometeorol       Date:  2010-06-09       Impact factor: 3.787

2.  Ground and remote sensing-based measurements of leaf area index in a transitional forest and seasonal flooded forest in Brazil.

Authors:  Marcelo Sacardi Biudes; Nadja Gomes Machado; Victor Hugo de Morais Danelichen; Maísa Caldas Souza; George Louis Vourlitis; José de Souza Nogueira
Journal:  Int J Biometeorol       Date:  2013-08-14       Impact factor: 3.787

3.  Five years of phenological monitoring in a mountain grassland: inter-annual patterns and evaluation of the sampling protocol.

Authors:  Gianluca Filippa; Edoardo Cremonese; Marta Galvagno; Mirco Migliavacca; Umberto Morra di Cella; Martina Petey; Consolata Siniscalco
Journal:  Int J Biometeorol       Date:  2015-05-03       Impact factor: 3.787

4.  Effects of deciduous shade trees on surface temperature and pedestrian thermal stress during summer and autumn.

Authors:  Luciano Massetti; Martina Petralli; Marco Napoli; Giada Brandani; Simone Orlandini; David Pearlmutter
Journal:  Int J Biometeorol       Date:  2019-02-02       Impact factor: 3.787

Review 5.  Considerations for evaluating green infrastructure impacts in microscale and macroscale air pollution dispersion models.

Authors:  Arvind Tiwari; Prashant Kumar; Richard Baldauf; K Max Zhang; Francesco Pilla; Silvana Di Sabatino; Erika Brattich; Beatrice Pulvirenti
Journal:  Sci Total Environ       Date:  2019-03-26       Impact factor: 7.963

6.  The effects of roadside vegetation characteristics on local, near-road air quality.

Authors:  Parikshit Deshmukh; Vlad Isakov; Akula Venkatram; Bo Yang; K Max Zhang; Russell Logan; Richard Baldauf
Journal:  Air Qual Atmos Health       Date:  2019-03-11       Impact factor: 3.763

7.  Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies.

Authors:  Natalie T Boelman; Troy S Magney; Barry A Logan; Kevin L Griffin; Jan U H Eitel; Heather Greaves; Case M Prager; Lee A Vierling
Journal:  Oecologia       Date:  2016-05-18       Impact factor: 3.225

8.  Determining the K coefficient to leaf area index estimations in a tropical dry forest.

Authors:  Sarah Freitas Magalhães; Sofia Calvo-Rodriguez; Mário Marcos do Espírito Santo; Gerardo Arturo Sánchez Azofeifa
Journal:  Int J Biometeorol       Date:  2018-03-15       Impact factor: 3.787

9.  The impact of rising CO2 and acclimation on the response of US forests to global warming.

Authors:  John S Sperry; Martin D Venturas; Henry N Todd; Anna T Trugman; William R L Anderegg; Yujie Wang; Xiaonan Tai
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-25       Impact factor: 11.205

Review 10.  Modelling plant responses to elevated CO2: how important is leaf area index?

Authors:  Frank Ewert
Journal:  Ann Bot       Date:  2004-04-21       Impact factor: 4.357

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