Environmental degradation, the deterioration of the natural environment through the depletion of resources and the destruction of ecosystems, directly impinges upon several Sustainable Development Goals (SDGs). It is closely associated with SDG 15 (Life on Land) and SDG 14 (Life Below Water), as degradation threatens biodiversity and the health of terrestrial and aquatic ecosystems. It also impacts SDG 13 (Climate Action) since many forms of environmental degradation, such as deforestation, contribute to climate change. Furthermore, environmental degradation is linked to SDG 2 (Zero Hunger) and SDG 6 (Clean Water and Sanitation) as it can degrade the soil and water resources necessary for food production and clean water supplies. Lastly, the relationship with SDG 3 (Good Health and Well-being) is apparent as environmental degradation can lead to poor air and water quality, thereby affecting human health.
Amyloid proteins can aggregate into insoluble fibrils and form amyloid deposits in the human brain, which is the hallmark of many neurodegenerative diseases. Promising strategies toward pathological amyloid proteins and deposition include investigating inhibitors that can disrupt amyloid aggregation or induce misfolding protein degradation. In this review, recent progress of peptide-based inhibitors, including amyloid sequence–derived inhibitors, designed peptides, and peptide mimics, is highlighted.
The Amazon is the most concentrated expression of life on Earth and it is clearly threatened.
Droughts are significant drivers of land degradation, which in turn has adverse effects on resource-dependent rural populations and can potentially lead to livelihood losses and subsequent migration out of affected areas. Linkages between land degradation and migration are complex and not particularly well documented, as they occur within a larger context of multi-scale interactions of socio-economic, political, demographic, and environmental processes. Given these uncertainties, further research in this field is needed.
Land Degradation (LD) in socio-environmental systems negatively impacts sustainable development paths. This study proposes a framework to LD evaluation based on indicators of diversification in the spatial distribution of sensitive land. We hypothesize that conditions for spatial heterogeneity in a composite index of land sensitivity are more frequently associated to areas prone to LD than spatial homogeneity. Spatial heterogeneity is supposed to be associated with degraded areas that act as hotspots for future degradation processes.
