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*

*Corresponding author for this work

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Abstract

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. 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. 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%–45.39% and 7.93%–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. 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.

Original languageEnglish
Pages (from-to)77-89
Number of pages13
JournalJournal of Ecology
Volume111
Issue number1
Early online date6 Nov 2022
DOIs
Publication statusPublished - Jan 2023

Bibliographical note

Acknowledgements:
We thank the Danum Valley Research Centre, the Sabah Forestry Department, the Sabah Biodiversity Centre and the Southeast Asia Rainforest Research Partnership (SEARRP) for their logistical support. The Danum Valley 50‐ha plot is a core project of the SEARRP. We thank SEARRP partners, especially Yayasan Sabah for their support, and HSBC Malaysia and the University of Zurich for funding. We are grateful to the research assistants who collected topographic data, in particular the team leader Alex Karolus. We thank Dr Glen Reynolds, Dr Michael O'Brien and Professor Andy Hector for scientific coordination and logistical support. We are also grateful to Dr Graham Zemunik and Dr Xubing Liu for their help with soil collection and the Smithsonian Tropical Research Institute Soils Lab for assistance in the analysis of soils samples, and Amat, Aslin and Musa for their contributions to UAS data collection. We thank Dr Marion Pfeifer and Dr Benjamin Turner for their comments on an earlier draft of the manuscript and two anonymous reviewers for their insightful and helpful comments. This work was made possible by the support of the University of Nottingham via a PhD Studentship to Catherine E. Waite and an Anne McLaren Research Fellowship to Geertje M. F. van der Heijden.
Research Funding
Natural Environment Research Council. Grant Number: NERC MA14/11; NE/P004806/1

Data Availability Statement

Data available via the Dryad Digital Repository https://doi.org/10.5061/dryad.x95x69pnf (Waite et al., 2022).

Keywords

  • boosted regression trees
  • drone
  • gap ecology
  • liana ecology
  • remote sensing
  • tropical forest canopy science
  • UAV
  • unmanned aerial vehicle

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