Improving plant allometry by fusing forest models and remote sensing-Reference-Cited by-同舟云学术

Improving plant allometry by fusing forest models and remote sensing

Published:2019-04-12 Issue:3 Volume:223 Page:1159-1165
ISSN:0028-646X
Container-title:New Phytologist
language:en
Short-container-title:New Phytol

Author:

Fischer Fabian Jörg¹^ORCID,Maréchaux Isabelle²^ORCID,Chave Jérôme¹^ORCID

Affiliation:

1. Laboratoire Evolution et Diversité Biologique UMR5174 CNRS–Université Paul Sabatier–IRD Bâtiment 4R1, 118 route de Narbonne F‐31062 Toulouse Cedex 9 France

2. AMAP, INRA, IRD, CIRAD, CNRS University of Montpellier F‐34000 Montpellier France

Funder

European Space Agency

Centre National d’Etudes Spatiales

Agence Nationale de la Recherche

Publisher

Wiley

Subject

Plant Science,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15810

Reference54 articles.

1. Global variability in leaf respiration in relation to climate, plant functional types and leaf traits

2. Approximate Bayesian Computation in Evolution and Ecology

3. Improved allometric models to estimate the aboveground biomass of tropical trees

4. Allometry of fine roots in forest ecosystems

5. Moving on from Metabolic Scaling Theory: hierarchical models of tree growth and asymmetric competition for light

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