Ghent University Academic Bibliography

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Your filters: cql: author="Malhi, Yadvinder" or (type any "bookEditor issueEditor" and editor="Malhi, Yadvinder")

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TLS2trees: A scalable tree segmentation pipeline for TLS data

Phil Wilkes, Mathias Disney, John Armston, Harm Bartholomeus, Lisa Bentley, Benjamin Brede, Andrew Burt, Kim Calders (UGent) , Cecilia Chavana‐Bryant, Daniel Clewley, et al.

(2023) Methods in Ecology and Evolution.
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Evenness mediates the global relationship between forest productivity and richness

Iris Hordijk, Daniel S. Maynard, Simon P. Hart, Mo Lidong, Hans ter Steege, Jingjing Liang, Sergio de‐Miguel, Gert‐Jan Nabuurs, Peter B. Reich, Meinrad Abegg, et al.

(2023) JOURNAL OF ECOLOGY. 111(6). p.1308-1326
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- A2
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Laser scanning reveals potential underestimation of biomass carbon in temperate forest

Kim Calders (UGent) , Hans Verbeeck (UGent) , Andrew Burt, Niall Origo, Joanne Nightingale, Yadvinder Malhi, Phil Wilkes, Pasi Raumonen, Robert G. H. Bunce and Mathias Disney

(2022) ECOLOGICAL SOLUTIONS AND EVIDENCE. 3(4).
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Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2)

Félicien Meunier (UGent) , Sruthi Krishna Moorthy Parvathi (UGent) , Marc Peaucelle (UGent) , Kim Calders (UGent) , Louise Terryn (UGent) , Wim Verbruggen (UGent) , Chang Liu (UGent) , Ninni Saarinen, Niall Origo, Joanne Nightingale, et al.

(2022) GEOSCIENTIFIC MODEL DEVELOPMENT. 15(12). p.4783-4803
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Tropical wood stores substantial amounts of nutrients, but we have limited understanding why

Marijn Bauters (UGent) , Oriol Grau, Sebastian Doetterl, Katherine D. Heineman, James W. Dalling, Cecilia M. Prada, Marco Griepentrog, Yadvinder Malhi, Terhi Riutta, Marina Scalon, et al.

(2022) BIOTROPICA. 54(3). p.596-606
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Resistance of African tropical forests to an extreme climate anomaly

Amy C. Bennett, Greta C. Dargie, Aida Cuni-Sanchez, John Tshibamba Mukendi, Wannes Hubau (UGent) , Jacques M. Mukinzi, Oliver L. Phillips, Yadvinder Malhi, Martin J. P. Sullivan, Declan L. M. Cooper, et al.

(2021) PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 118(21).
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High aboveground carbon stock of African tropical montane forests

Aida Cuni-Sanchez, Martin J. P. Sullivan, Philip J. Platts, Simon L. Lewis, Rob Marchant, Gérard Imani, Wannes Hubau (UGent) , Iveren Abiem, Hari Adhikari, Tomas Albrecht, et al.

(2021) NATURE. 596(7873). p.536-542
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Taking the pulse of Earth's tropical forests using networks of highly distributed plots

[missing] ForestPlots.net, Cecilia Blundo, Julieta Carilla, Ricardo Grau, Agustina Malizia, Lucio Malizia, Oriana Osinaga-Acosta, Michael Bird, Matt Bradford, Damien Catchpole, et al.

(2021) BIOLOGICAL CONSERVATION. 260.
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Tree species classification using structural features derived from terrestrial laser scanning

Louise Terryn (UGent) , Kim Calders (UGent) , Mathias Disney, Niall Origo, Yadvinder Malhi, Glenn Newnham, Pasi Raumonen, Markku Åkerblom and Hans Verbeeck (UGent)

(2020) ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. 168. p.170-181
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Assessment of bias in pan-tropical biomass predictions

Andrew Burt, Kim Calders (UGent) , Aida Cuni-Sanchez, Jose Gómez-Dans, Philip Lewis, Simon L Lewis, Yadvinder Malhi, Oliver L Phillips and Mathias Disney

(2020) FRONTIERS IN FORESTS AND GLOBAL CHANGE. 3.

Academic Bibliography

TLS2trees: A scalable tree segmentation pipeline for TLS data

Evenness mediates the global relationship between forest productivity and richness

Laser scanning reveals potential underestimation of biomass carbon in temperate forest

Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2)

Tropical wood stores substantial amounts of nutrients, but we have limited understanding why

Resistance of African tropical forests to an extreme climate anomaly

High aboveground carbon stock of African tropical montane forests

Taking the pulse of Earth's tropical forests using networks of highly distributed plots

Tree species classification using structural features derived from terrestrial laser scanning

Assessment of bias in pan-tropical biomass predictions

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