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    Unveiling the energy consumption–food waste nexus in households: A focus on key predictors of food waste generation
    (Springer, 2024-07-01)
    In most cities worldwide, household food waste constitutes a significant portion of municipal solid waste (MSW). However, its management often proves inadequate due to the insufficient resources allocated to waste management systems, the omission of the resource potential in MSW, and the lack of recognition of household food waste drivers for forecasting generation in specific geographical contexts. This research aims to identify social, economic, and environmental variables serving as proxies to forecast household food waste generation. To achieve this, a multiple linear regression model was proposed to assess the relationship between cooking fuel type (i.e., liquefied petroleum gas, natural gas, and electricity), land use categories (i.e., commercial, industrial, and residential), population density, expenditure on in-house food consumption, and household food waste generation. Three alternate modeling scenarios were considered based on available data, with Lima, Peru, serving as a case study. The results indicate that the combined consumption of liquefied petroleum gas and natural gas, and electricity consumption, along with residential land use, were the most influential variables. Finally, for a comprehensive understanding of the studied phenomenon, it is crucial to analyze and consider the intricate dynamics of societal consumption patterns. Graphical (Figure presented.).
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    Assessing Peru’s land monitoring system contributions towards fulfilment of its international environmental commitments
    (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02-01)
    Land use change (LUC) is recognized as one of the major drivers of the global loss of biodiversity and represents a major threat to ecosystems. Deforestation through LUC is mainly driven by fire regimes, logging, farming (cropping and ranching), and illegal mining, which are closely linked with environmental management policies. Efficient land management strategies, however, require reliable and robust information. Land monitoring is one such approach that can provide critical information to coordinate policymaking at the global, regional, and local scales, and enable a programmed implementation of shared commitments under the Rio Conventions: the United Nations Convention on Biological Diversity (CBD), Convention to Combat Desertification (UNCCD), and Framework Convention on Climate Change (UNFCCC). Here we use Peru as a case study to evaluate how a land monitoring system enables environmental policy decisions which appear in the country’s international commitment reports. Specifically, we synthesize how effective the ongoing land monitoring system has been in responding to current and future environmental challenges; and how improvements in land monitoring can assist in the achievement of national commitments under the Rio Conventions. We find that Peruvian policies and commitments need to be improved to be consistent with the 1.5 °C temperature limit of the Paris agreement. Regarding the Aichi targets, Peru has achieved 17% land area with sustainable management; however, the funding deficit is a great challenge. Even though Peru commits to reducing GHG emissions by reducing LUC and improving agricultural and land use forestry practices, it needs policy improvements in relation to land tenure, governance, and equity. Potential explanations for the observed shortcomings include the fragmentation and duplication of government roles across sectors at both a national and regional scale.
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    Tropical Forests Post-Logging Are a Persistent Net Carbon Source to the Atmosphere
    (National Academy of Sciences, 2023-01-17)
    Logged and structurally degraded tropical forests are fast becoming one of the most prevalent land-use types throughout the tropics and are routinely assumed to be a net carbon sink because they experience rapid rates of tree regrowth. Yet this assumption is based on forest biomass inventories that record carbon stock recovery but fail to account for the simultaneous losses of carbon from soil and necromass. Here, we used forest plots and an eddy covariance tower to quantify and partition net ecosystem CO2 exchange in Malaysian Borneo, a region that is a hot spot for deforestation and forest degradation. Our data represent the complete carbon budget for tropical forests measured throughout a logging event and subsequent recovery and found that they constitute a substantial and persistent net carbon source. Consistent with existing literature, our study showed a significantly greater woody biomass gain across moderately and heavily logged forests compared with unlogged forests, but this was counteracted by much larger carbon losses from soil organic matter and deadwood in logged forests. We estimate an average carbon source of 1.75 ± 0.94 Mg C ha−1 yr−1 within moderately logged plots and 5.23 ± 1.23 Mg C ha−1 yr−1 in unsustainably logged and severely degraded plots, with emissions continuing at these rates for at least one-decade post-logging. Our data directly contradict the default assumption that recovering logged and degraded tropical forests are net carbon sinks, implying the amount of carbon being sequestered across the world’s tropical forests may be considerably lower than currently estimated.