Literature DB >> 19323186

Leaf chemical and spectral diversity in Australian tropical forests.

Gregory P Asner1, Roberta E Martin, Andrew J Ford, Daniel J Metcalfe, Michael J Liddell.   

Abstract

Leaf chemical and spectral properties of 162 canopy species were measured at 11 tropical forest sites along a 6024 mm precipitation/yr and 8.7 degrees C climate gradient in Queensland, Australia. We found that variations in foliar nitrogen, phosphorus, chlorophyll a and b, and carotenoid concentrations, as well as specific leaf area (SLA), were expressed more strongly among species within a site than along the entire climate gradient. Integrated chemical signatures consisting of all leaf properties did not aggregate well at the genus or family levels. Leaf chemical diversity was maximal in the lowland tropical forest sites with the highest temperatures and moderate precipitation levels. Cooler and wetter montane tropical forests contained species with measurably lower variation in their chemical signatures. Foliar optical properties measured from 400 to 2500 nm were also highly diverse at the species level, and were well correlated with an ensemble of leaf chemical properties and SLA (r2 = 0.54-0.83). A probabilistic diversity model amplified the leaf chemical differences among species, revealing that lowland tropical forests maintain a chemical diversity per unit richness far greater than that of higher elevation forests in Australia. Modeled patterns in spectral diversity and species richness paralleled those of chemical diversity, demonstrating a linkage between the taxonomic and remotely sensed properties of tropical forest canopies. We conclude that species are the taxonomic unit causing chemical variance in Australian tropical forest canopies, and thus ecological and remote sensing studies should consider the role that species play in defining the functional properties of these forests.

Entities:  

Mesh:

Year:  2009        PMID: 19323186     DOI: 10.1890/08-0023.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  11 in total

1.  Amazonian functional diversity from forest canopy chemical assembly.

Authors:  Gregory P Asner; Roberta E Martin; Raul Tupayachi; Christopher B Anderson; Felipe Sinca; Loreli Carranza-Jiménez; Paola Martinez
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-03       Impact factor: 11.205

2.  Predicting tropical plant physiology from leaf and canopy spectroscopy.

Authors:  Christopher E Doughty; Gregory P Asner; Roberta E Martin
Journal:  Oecologia       Date:  2010-10-21       Impact factor: 3.225

3.  A Perspective on Plant Phenomics: Coupling Deep Learning and Near-Infrared Spectroscopy.

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Journal:  Front Plant Sci       Date:  2022-05-20       Impact factor: 6.627

4.  Applications of remote sensing to alien invasive plant studies.

Authors:  Cho-Ying Huang; Gregory P Asner
Journal:  Sensors (Basel)       Date:  2009-06-19       Impact factor: 3.576

5.  Imaging spectroscopy reveals the effects of topography and logging on the leaf chemistry of tropical forest canopy trees.

Authors:  Tom Swinfield; Sabine Both; Terhi Riutta; Boris Bongalov; Dafydd Elias; Noreen Majalap-Lee; Nicholas Ostle; Martin Svátek; Jakub Kvasnica; David Milodowski; Tommaso Jucker; Robert M Ewers; Yi Zhang; David Johnson; Yit Arn Teh; David F R P Burslem; Yadvinder Malhi; David Coomes
Journal:  Glob Chang Biol       Date:  2019-12-17       Impact factor: 10.863

Review 6.  Plant ecophysiological processes in spectral profiles: perspective from a deciduous broadleaf forest.

Authors:  Hibiki M Noda; Hiroyuki Muraoka; Kenlo Nishida Nasahara
Journal:  J Plant Res       Date:  2021-05-10       Impact factor: 2.629

7.  A spectral analysis of stem bark for boreal and temperate tree species.

Authors:  Jussi Juola; Aarne Hovi; Miina Rautiainen
Journal:  Ecol Evol       Date:  2022-03-16       Impact factor: 2.912

8.  Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest.

Authors:  Hualei Yang; Xi Yang; Mary Heskel; Shucun Sun; Jianwu Tang
Journal:  Sci Rep       Date:  2017-04-28       Impact factor: 4.996

9.  Correlating species and spectral diversities using hyperspectral remote sensing in early-successional fields.

Authors:  Itiya P Aneece; Howard Epstein; Manuel Lerdau
Journal:  Ecol Evol       Date:  2017-04-06       Impact factor: 3.167

10.  Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model.

Authors:  Jingyi Jiang; Alexis Comar; Philippe Burger; Pierre Bancal; Marie Weiss; Frédéric Baret
Journal:  Plant Methods       Date:  2018-03-20       Impact factor: 4.993

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