Vulnerability of tropical forest ecosystems and forest dependent communities to droughts

Energy captured by and flowing through a forest ecosystem can be indexed by its total Net Primary Productivity (NPP). This forest NPP can also be a reflection of its sensitivity to, and its ability to adapt to, any climate change while also being harvested by humans. However detecting and identifying the vulnerability of forest and human ecosystems to climate change requires information on whether these coupled social and ecological systems are able to maintain functionality while responding to environmental variability. To better understand what parameters might be representative of environmental variability, we compiled a metadata analysis of 96 tropical forest sites. We found that three soil textural classes (i.e., sand, sandy loam and clay) had significant but different relationships between NPP and precipitation levels. Therefore, assessing the vulnerability of forests and forest dependent communities to drought was carried out using data from those sites that had one of those three soil textural classes. For example, forests growing on soil textures of sand and clay had NPP levels decreasing as precipitation levels increased, in contrast to those forest sites that had sandy loam soils where NPP levels increased. Also, forests growing on sandy loam soil textures appeared better adapted to grow at lower precipitation levels compared to the sand and clay textured soils. In fact in our tropical database the lowest precipitation level found for the sandy loam soils was 821 mm yr−1 compared to sand at 1739 mm yr−1 and clay at 1771 mm yr−1. Soil texture also determined the level of NPP reached by a forest, i.e., forest growing on sandy loam and clay reached low-medium NPP levels while higher NPP levels (i.e., medium, high) were found on sand-textured soils. Intermediate precipitation levels (>1800–3000 mm yr−1) were needed to grow forests at the medium and high NPP levels. Low thresholds of NPP were identified at both low (∼750 mm) and high precipitation (>3500 mm) levels. By combining data on the ratios of precipitation to the amount of biomass produced in a year with how much less precipitation input occurs during a drought year, it is possible to estimate whether productivity levels are sufficient to support forest growth and forest dependent communities following a drought. In this study, the ratios of annual precipitation inputs required to produce 1 Mg ha−1 yr−1 biomass by soil texture class varied across the three soil textural classes. By using a conservative estimate of 20% of productivity collected or harvested by people and 30% precipitation reduction level as triggering a drought, it was possible to estimate a potential loss of annual productivity due to a drought. In this study, the total NPP unavailable due to drought and harvest by forest dependent communities per year was 10.2 Mg ha−1 yr−1 for the sandy textured soils (64% of NPP still available), 8.4 Mg ha−1 yr−1 for the sandy loam textured soils (60% available) and 12.7 Mg ha−1 yr−1 for the clay textured soils (29% available). Forests growing on clay textured soils would be most vulnerable to drought triggered reductions in productivity so NPP levels would be inadequate to maintain ecosystem functions and would potentially cause a forest-to-savanna shift. Further, these forests would not be able to provide sufficient NPP to satisfy the requirements of forest dependent communities. By predicting the productivity responses of different tropical forest ecosystems to changes in precipitation patterns coupled with edaphic data, it could be possible to spatially identify where tropical forests are most vulnerable to climate change impacts and where mitigation efforts should be concentrated

Bio-methanol potential in Indonesia: Forest biomass as a source of bio-energy that reduces carbon emissions

Since Indonesia has significant land area in different forest types that could be used to produce biofuels, the potential to sustainably collect and convert forest materials to methanol for use in energy production was examined. Using the annually available aboveground forest biomass, from 40 to 168 billion l of bio-methanol could be produced for use as a transportation fuel and/or to supply fuel cells to produce electricity. When a lower forest biomass availability estimate was used to determine how much electricity (methanol fed into fuel cells) could be produced in Indonesia, more than 10 million households or about 12,000 villages (20% of the total rural villages in Indonesia) would be supplied annually with electricity. Collecting forest biomass at the higher end of the estimated available biomass and converting it to methanol to supply fuel cells could provide electricity to more than 42 million households annually. This would be approximately 52,000 villages, or 86% of the total rural villages in Indonesia. When electricity is produced with bio-methanol/fuel cells, it could potentially supply from half to all of the current electricity consumed in Indonesia. By generating electricity using bio-methanol/fuel cells instead of from fossil fuels, from 9 to 38% of the total carbon currently emitted each year in Indonesia could be avoided. In contrast, substituting this same amount of bio-methanol for gasoline could provide all of the annual gasoline needs of Indonesia and contribute towards reducing their carbon emissions by about 8-35%.Aboveground forest biomass Forest residues/wastes Bio-methanol Electricity production Transportation fuels Carbon emissions

Nontraditional Use of Biomass at Certified Forest Management Units: Forest Biomass for Energy Production and Carbon Emissions Reduction in Indonesia

Biomass conversion technologies that produce energy and reduce carbon emissions have become more feasible to develop. This paper analyzes the potential of converting biomass into biomethanol at forest management units experiencing three forest management practices (community-based forest management (CBFM), plantation forest (PF), and natural production forest (NPF)). Dry aboveground biomass collected varied considerably: 0.26–2.16 Mg/ha/year (CBFM), 8.08–8.35 Mg/ha/year (NPF), and 36.48–63.55 Mg/ha/year (PF). If 5% of the biomass was shifted to produce biomethanol for electricity production, the NPF and PF could provide continuous power to 138 and 2,762 households, respectively. Dedicating 5% of the biomass was not a viable option from one CBFM unit. However, if all biomasses were converted, the CBFM could provide electricity to 19–27 households. If 100% biomass from two selected PF was dedicated to biomethanol production: (1) 52,200–72,600 households could be provided electricity for one year; (2) 142–285% of the electricity demand in Jambi province could be satisfied; (3) all gasoline consumed in Jambi, in 2009, would be replaced. The net carbon emissions avoided could vary from 323 to 8,503 Mg when biomethanol was substituted for the natural gas methanol in fuel cells and from 294 to 7,730 Mg when it was used as a gasoline substitute