Landscape‐scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics

Catherine E. Waite; Geertje M. F. van der Heijden; Richard Field; David F. R. P. Burslem; James W. Dalling; Reuben Nilus; M. Elizabeth Rodríguez‐Ronderos; Andrew R. Marshall; Doreen S. Boyd

doi:10.1111/1365-2745.14015

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Landscape‐scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics

Journal article

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Landscape‐scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics

Catherine E. Waite, Geertje M. F. van der Heijden, Richard Field, David F. R. P. Burslem, James W. Dalling, Reuben Nilus, M. Elizabeth Rodríguez‐Ronderos, Andrew R. Marshall and Doreen S. Boyd

Journal of Ecology, Vol.111(1), pp.77-89

2023

DOI: https://doi.org/10.1111/1365-2745.14015

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Abstract

boosted regression trees

drone

gap ecology

liana ecolog

remote sensing

tropical forest canopy science

UAV

unmanned aerial vehicle

1. Lianas (woody vines) are a key component of tropical forests, known to reduce forest carbon storage and sequestration and to be increasing in abundance. Analysing how and why lianas are distributed in forest canopies at landscape scales will help us determine the mechanisms driving changes in lianas over time. This will improve our understanding of liana ecology and projections of tropical forest carbon storage now and into the future. Despite competing hypotheses on the mechanisms driving spatial patterning of lianas, few studies have integrated multiple tree level biotic and abiotic factors in an analytical framework. None have done so in the Palaeotropics, which are biogeographically and evolutionarily distinct from the Neotropics, where most research on lianas has been conducted. 2. We used an unoccupied aerial system (UAS; drone) to assess liana load in 50 ha of Palaeotropical forest canopy in Southeast Asia. We obtained data on hypothesised drivers of liana spatial distribution in the forest canopy, including disturbance, tree characteristics, soil chemistry and topography, from the UAS, from airborne LiDAR and from ground surveys. We integrated these in a comprehensive analytical framework to extract variables at an individual tree level and evaluated the relative strengths of the hypothesised drivers and their ability to predict liana distributions through boosted regression tree (BRT) modelling. 3. Tree height and distance to canopy gaps were the two most important predictors of liana load, with relative contribution values in BRT models of 34.60% to 45.39% and 7.93% to 10.19%, respectively. Our results suggest that taller trees were less often and less heavily infested by lianas than shorter trees, opposite to Neotropical findings. Lianas also occurred more often, and to a greater extent, in tree crowns close to canopy gaps and to neighbouring trees with lianas in their crown.4. Synthesis. Despite their known importance and prevalence in tropical forests, lianas are not well understood, particularly in the Palaeotropics. Examining 2428 trees across 50 ha of Palaeotropical forest canopy in Southeast Asia, we find support for the hypothesis that canopy gaps promote liana infestation. However, we also found that liana presence and load declined with tree height, which is opposite to well established Neotropical findings. This suggests a fundamental difference between Neotropical and Southeast Asian forests. Considering that most liana literature has focused on the Neotropics, this highlights the need for additional studies in other biogeographic regions to clarify potential differences and enable us to better understand liana impacts on tropical forest ecology, carbon storage and sequestration.

Details

Title: Landscape‐scale drivers of liana load across a Southeast Asian forest canopy differ to the Neotropics
Authors: Catherine E. Waite (Corresponding Author) - University of the Sunshine Coast, Queensland, Forest Research Institute
Geertje M. F. van der Heijden (Author) - University of Nottingham
Richard Field (Author) - University of Nottingham
David F. R. P. Burslem (Author) - University of Aberdeen
James W. Dalling (Author) - Smithsonian Tropical Research Institute
Reuben Nilus (Author) - Sabah Forestry Department
M. Elizabeth Rodríguez‐Ronderos (Author) - National University of Singapore
Andrew R. Marshall (Author) - University of the Sunshine Coast, Queensland, Forest Research Institute
Doreen S. Boyd (Corresponding Author) - University of Nottingham
Publication details: Journal of Ecology, Vol.111(1), pp.77-89
Publisher: Wiley-Blackwell Publishing Ltd.
Date published: 2023
DOI: 10.1111/1365-2745.14015
ISSN: 1365-2745; 0022-0477
Copyright note: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2022 The Authors. Journal of Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society.
Organisation Unit: Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Forest Research Institute
Language: English
Record Identifier: 99687998702621
Output Type: Journal article

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