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Investigating the relationship between liana abundance and tropical forest recovery
doi: 10.25907/00828
Lianas, or woody vines, are integral components of tropical forests that have substantial impacts on the dynamics and functioning of these important ecosystems. There is growing evidence that liana competition with trees is threatening the global carbon sink by hindering the recovery of forests from disturbances. A recent hypothesis, built on local and regional evidence, suggests that their competitive success over trees (liana dominance) is facilitated by interactions between forest disturbance and climate. Despite their increasing competitiveness with trees at the global scale, robust measurements of liana aboveground biomass (AGB) have been limited. Moreover, it is unclear how forest disturbance interacts with liana–tree ratios (LTRs), climate, topography and soil properties to shape tree dynamics and the trajectories of succession in tropical forests. This thesis aims to improve understanding of the role lianas play in the recovery of tropical forests from disturbance, through the use of innovative sampling approaches to investigate forest dynamics and relationships with disturbance, liana–tree trade-offs and environmental factors.
disturbance, restoration, biomass, Ecology, trees, Ecological applications, carbon stocks, topography, Climate change impacts and adaptation, FOS: Biological sciences, forest succession, climate, competition, vines
disturbance, restoration, biomass, Ecology, trees, Ecological applications, carbon stocks, topography, Climate change impacts and adaptation, FOS: Biological sciences, forest succession, climate, competition, vines
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
