Forest biomass as a viable pathway for sustainable energy supply in isolated villages of Amazonia

Brandão, Pedro Christo; Souza, Agostinho Lopes de; Rousset, Patrick; Simas, Felipe Nogueira Bello; Mendonça, Bruno Araújo Furtado de

doi:10.1016/j.envdev.2020.100609

Cited by 10 publications

(7 citation statements)

References 28 publications

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“…Biogas and bioLPG derived from bio-waste could replace up to 90% of the demand for petroleumderived natural gas and LPG. In remote Amazonian villages, forest biomass was proposed as a viable, sustainable energy supply (Brandão et al, 2021). However, a closer look at ongoing research is warranted since methane emissions along biomethane and biogas supply chains were found to be grossly underestimated (Bakkaloglu et al, 2022).…”

Section: Synergies Between Renewables Decarbonisation and Land/forest...mentioning

confidence: 99%

The role of energy in regional disparities: Decentralized renewable energy and livelihood security of Amazonian Indigenous communities

Hampl

2022

Regions

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Research contextSeveral Amazonian countries have updated their Nationally Determined Contributions (NDCs) to achieve carbon neutrality by 2050. Pledges were made to halt deforestation and achieve emission reductions in the highest emitting sectors. Land-based mitigation measures account for up to 70% of the NDC's mitigation capacity in some countries. It is broadly acknowledged, however, that the meat industry-particularly in Brazil's states of Roraima and south-eastern Pará), raising questions as to who decides what constitutes "success" or "good outcomes" in the Amazon bioregion (i.e., out-migration, large-scale extractive development or intensive industrial agriculture?). The Amazon bioregionThe Amazon biogeographic region expands beyond the larger Amazon River basin and comprises diverse ecosystems, including rainforests, seasonal forests, deciduous forests, flooded forests, savannas and others. Hundreds of distinct ethnic groups, including no-contact Indigenous tribes, reside across nine South American countries and nine Brazilian states (Figure 1). Given the biocultural and ecological diversity, no single renewable energy system design can match the different cultural and ecological contexts.

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Section: Synergies Between Renewables Decarbonisation and Land/forest...mentioning

confidence: 99%

The role of energy in regional disparities: Decentralized renewable energy and livelihood security of Amazonian Indigenous communities

Hampl

2022

Regions

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“…Before the twentieth century, wood was among the global main sources of energy, but it has been partially replaced by coal, oil, and natural gas over the last century [15]. Some of the advantages of wood as bioenergy are its renewable potential through tree planting and by nature, the fact that human management provides additional value to wood waste, creates local jobs, generates intermediate income [16][17][18], and lower environmental impacts than fossil energy [19], so it can be an effective tool for the green economy by mitigating the impact of greenhouse gases [1,20]. The use of biomass energy in the form of firewood also has an impact on air pollution emissions [21] and CO 2 emissions in the combustion process [22,23].…”

Section: Introductionmentioning

confidence: 99%

Renewable energy from secondary wood products contributes to local green development: the case of small-scale privately owned forests in Ciamis Regency, Indonesia

et al. 2023

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Background Wood biomass from forests is a renewable energy source that has the potential to support global green development. However, the process of traditional firewood extraction and its contribution to the energy supply varies and is usually underrecognized, especially in the local context. Therefore, this study aimed to describe the traditional use and estimate the supply and demand for wood bioenergy from small-scale privately owned forests (SSPF) in Ciamis Regency, West Java Province, Indonesia. Methods The sample location was determined in 3 subdistricts, namely, Sukamantri, Ciamis, and Banjaranyar, which represent the northern, central, and southern regions, respectively. The data were collected through observations on stands, interviews with respondents, key informants from users and business actors of wood in the SSPF, and observations on the processes taking place in the flow and use of biomaterials and firewoods. Results and conclusion Firewood is a secondary product that cannot be separated from the main products along SSPF’s chain of production based on the integration of raw material sources, linkages between actors, and volume sharing. The local knowledge and wisdom entanglements included the identification of the type and quality of firewood, distribution of resource allocation for household and industrial needs, and sharing of firewood for household needs. Although wood biomass contributes to the fulfillment of households and industrial needs of 8.51 million m3, there are indications of an imbalance between the potential supply and the demand for firewood due to its high intensity of use in industries. Therefore, multistakeholder and cross-regional support are needed to achieve sustainable SSPF management and fulfill the self-sufficiency of wood energy.

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“…8 FB has been studied for a variety of purposes, including nutrient cycling, energy use, and evaluation of arboreal species growth. 3,9,10 Analysis of the spatial distribution of FB is fundamental to understanding the structural changes in the vegetation composition and supporting definition of measures for biodiversity conservation and forest management. 1,3,11,12 The FB can be estimated using direct and indirect methodological approaches.…”

Section: Introductionmentioning

confidence: 99%

“…The above-ground biomass (AGB) in forest ecosystems can be estimated by measuring basal area, density, and tree heights, and it is an important indicator of the conservation state of forest fragments 8 . FB has been studied for a variety of purposes, including nutrient cycling, energy use, and evaluation of arboreal species growth 3 , 9 , 10 . Analysis of the spatial distribution of FB is fundamental to understanding the structural changes in the vegetation composition and supporting definition of measures for biodiversity conservation and forest management 1 , 3 , 11 , 12 …”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence tools and vegetation indices combined to estimate aboveground biomass in tropical forests

Costa

Pinto

Miguel

et al. 2023

J. Appl. Rem. Sens.

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Measurement of forest biomass is a time-, money-, and labor-consuming activity.Developing methodological approaches for quantifying biomass in natural ecosystems has motivated countless investigations in several vegetation types worldwide. In this study, we developed a model to estimate the above-ground biomass (AGB) in a study site spatially located in Western Pará state, Brazilian Amazon. We applied artificial neural networks and remotely sensed data for adjusting our model based on forest inventory data. We tested four vegetation indices retrieved from a Landsat-5 thematic mapper scene and assessed their correlations with the field measured AGB. We trained 286 artificial neural networks using the vegetation stratus (two phytophysiognomies: dense lowland ombrophilous forest and dense submontane ombrophilous forest) and the normalized difference vegetation index (NDVI) and aerosol-free vegetation index as predictors variables of the AGB. We selected the artificial neural network model showing higher correlation coefficient and concentration of residuals in the center classes, which indicates higher predictive capabilities of biomass estimation. The generated model architecture (4-13-1) was composed by 4 predictor neurons in the input layer, 13 neurons in the hidden layer, activated by logistic functions, and a single neuron (the AGB in ton • ha −1 ) in the output layer, activated by an identity function. We observed that the NDVI and aerosol free vegetation index showed the best performance to estimate the AGB in the study area. Using artificial neural network and a Landsat-5 image combined, we were able to accurately predict (estimation error of ∼20%) AGB in tropical forest. This is a promising methodological approach that can be applied to assess ecosystem services related to carbon stock in tropical regions.

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Forest biomass as a viable pathway for sustainable energy supply in isolated villages of Amazonia

Cited by 10 publications

References 28 publications

The role of energy in regional disparities: Decentralized renewable energy and livelihood security of Amazonian Indigenous communities

The role of energy in regional disparities: Decentralized renewable energy and livelihood security of Amazonian Indigenous communities

Renewable energy from secondary wood products contributes to local green development: the case of small-scale privately owned forests in Ciamis Regency, Indonesia

Artificial intelligence tools and vegetation indices combined to estimate aboveground biomass in tropical forests

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