This paper explores the potential implementation of the Consumption Footprint rationale to define a footprint indicator for the EU Bioeconomy, henceforth ‘Bioeconomy Footprint’. This indicator can be a powerful tool for a comprehensive and effective monitoring of the bioeconomy sectors: to capture environmental impacts over time, identifying environmental hotspots, highlighting geographic and sectorial trade-offs, and identifying burden shifts among impact categories and along the supply chain.
This study aims to identify the factors that constrain and enable the sustainability of reusable packaging systems, considering environmental, economic, social and technical dimensions. This research is critical to the effective implementation and scale-up of reusable packaging systems.
This article links with the United Nations Sustainable Development Goals (SDGs) by addressing Goal 11 (Sustainable Cities and Communities) and Goal 15 (Life on Land), as it examines how urbanization affects biodiversity and the traits that enable bird species to adapt to urban environments. By developing a predictive framework for urban tolerance, the research contributes to conservation efforts aimed at preserving biodiversity in increasingly urbanized landscapes, thereby promoting sustainable coexistence between human populations and wildlife.
Increasing plant productivity resilience to drought plays an important role in ecosystem services, and while soil organic matter (SOM) promotes plant growth, its role in mitigating aboveground biomass (AGB) loss as a result of drought in alpine grasslands is unclear. This study by Zhao et al., 2023 examined 209 alpine grassland sites on the Tibetan Plateau and revealed that AGB decreases with increasing aridity (above 0.37), and a stronger positive relationship between AGB and SOM is observed in more arid conditions, suggesting the significance of soil carbon sequestration strategies for biomass production and climate change mitigation in arid areas.
This study proposes a deep learning model based on a convolutional neural network, which can effectively fuse atmospheric information (wind field) and station water level information and can effectively forecast the station water level and also have a good response to the anomalous water level increase brought by storm surge.
Before we were agriculturalists we got all our food by hunting, gathering and fishing. But what did this look like?
This study contributes to Goal 15 - Life on Land because it shows that tree growth to temperature change is a combination of short-term plastic and long-term adaptive reactions, and it suggests a limited adaptation to climate warming of trees growing at high altitudes. Such studies remind us that Life on Land as we know it currently will only be possible through conservation of natural ecosystems.
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The current review on atmospheric M/NPs is therefore focusing on sampling, sample preparation and identification methods. The approach will enable knowledge gaps to be identified, and recommendations to be made to support standardized and comparable future research
The article describes how to turn waste plastics into high-quality liquid oils by thermal and catalytic pyrolysis.
