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The role of gap phase processes in the biomass dynamics of tropical forests

The responses of tropical forests to global anthropogenic disturbances remain poorly understood. Above-ground woody biomass in some tropical forest plots has increased over the past several decades, potentially reflecting a widespread response to increased resource availability, for example, due to elevated atmospheric CO2and/or nutrient deposition. However, previous studies of biomass dynamics have not accounted for natural patterns of disturbance and gap phase regeneration, making it difficult to quantify the importance of environmental changes. Using spatially explicit census data from large (50 ha) inventory plots, we investigated the influence of gap phase processes on the biomass dynamics of four ‘old-growth’ tropical forests (Barro Colorado Island (BCI), Panama; Pasoh and Lambir, Malaysia; and Huai Kha Khaeng (HKK), Thailand). We show that biomass increases were gradual and concentrated in earlier-phase forest patches, while biomass losses were generally of greater magnitude but concentrated in rarer later-phase patches. We then estimate the rate of biomass change at each site independent of gap phase dynamics using reduced major axis regressions and ANCOVA tests. Above-ground woody biomass increased significantly at Pasoh (+0.72% yr−1) and decreased at HKK (−0.56% yr−1) independent of changes in gap phase but remained stable at both BCI and Lambir. We conclude that gap phase processes play an important role in the biomass dynamics of tropical forests, and that quantifying the role of gap phase processes will help improve our understanding of the factors driving changes in forest biomass as well as their place in the global carbon budget.
- French National Centre for Scientific Research France
- Harvard University United States
- Forest Research Institute Malaysia Malaysia
- French Institute for Research in Computer Science and Automation France
- University of Divinity Australia
[SDV.EE]Life Sciences [q-bio]/Ecology, environment, [ SDV.BID ] Life Sciences [q-bio]/Biodiversity, Greenhouse Effect, [SDV.EE] Life Sciences/Ecology, environment, Tropical Climate, Panama, Malaysia, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Carbon Dioxide, Thailand, [ SDV.EE ] Life Sciences [q-bio]/Ecology, environment, Trees, [SDV.BID] Life Sciences/Biodiversity, Regression Analysis, Biomass
[SDV.EE]Life Sciences [q-bio]/Ecology, environment, [ SDV.BID ] Life Sciences [q-bio]/Biodiversity, Greenhouse Effect, [SDV.EE] Life Sciences/Ecology, environment, Tropical Climate, Panama, Malaysia, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Carbon Dioxide, Thailand, [ SDV.EE ] Life Sciences [q-bio]/Ecology, environment, Trees, [SDV.BID] Life Sciences/Biodiversity, Regression Analysis, Biomass
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).42 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
