Abstract

Sustainable forest management (SFM) practices can potentially reverse loss of forest cover due to deforestation, while concomitantly preserving and maintaining biodiversity, and stimulating jobs, income, and forest services. Recent studies found that significant logging residues (LR) (i.e. leaves, branches, and buttress roots) suitable for bioenergy production were often left in the felling area, triggering risks of forest fires and increased CO2 emissions due to wildfires or decomposition processes. For impact assessment of forest management practices, we collected primary harvesting data and estimated net primary productivity (NPP) and net ecosystem exchange (NEE) for 13 forest plots in the Brazilian Amazon. We applied a process-based forestry growth model (BGC-Man) to analyze the impacts on forest dynamics of selective logging and removal of LR, subject to landscape, soil texture, and daily weather. We explored the following selective logging scenarios: the Legal Reserve (i.e. reference) scenario, a scenario with one cutting cycle over the whole period, and a scenario with three timber rotation periods of 30 yr. Two of the later scenarios were complemented with harvesting of the woody LR (Ø ⩾ 10 cm) for charcoal production. For each scenario, we computed forest NPP and NEE over a 120 yr time horizon. Results suggest that using woody LR (i.e. 77% of total LR) for charcoal production would result in an economic gain equivalent to 24%–46% of the timber price. Our findings indicate that under scenarios where LR were removed, forest NPP recovered to the reference level and even higher, while income and jobs from harvesting LR for charcoal production were generated. We conclude that SFM could enhance forest productivity and deliver economic benefit from otherwise unexploited LR.

Highlights

  • Sustainable forest management (SFM) in the Amazon forest has been proposed as a way of preserving and maintaining biodiversity, while at the same time generating jobs, providing income and forest services, and avoiding forest degradation [1–4]

  • Recent studies found that significant logging residues (LR) suitable for bioenergy production were often left in the felling area, triggering risks of forest fires and increased CO2 emissions due to wildfires or decomposition processes

  • The objective of our study was to assess the long-term forest regrowth dynamics in terms of net primary productivity (NPP) and the net ecosystem exchange (NEE) accumulated over a 120 yr time horizon under five different selective logging scenarios in order to quantify the impacts of harvesting LR for charcoal co-production on the economic benefits of SFM practices in the Brazilian Amazon

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Summary

Introduction

Sustainable forest management (SFM) in the Amazon forest has been proposed as a way of preserving and maintaining biodiversity, while at the same time generating jobs, providing income and forest services, and avoiding forest degradation [1–4]. SFM practices were established as a way of creating economic alternatives for the inhabitants of the region and to improve livelihood conditions, especially for poor forest dwellers [6]. Achieving both environmental and socioeconomic benefits is key for sustainable development and the greenhouse gas balance [7]. Prior studies have shown that management as stipulated by the Brazilian Forest Code Regulations generates a significant amount of logging residues (LR) which are often left in the felling area [1, 2, 8]. Logging damage and wood waste from harvesting operations are left to decay, which further contributes to CO2 emissions, and increases the risk of forest fires [9–13]

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