The Amazon is the most concentrated expression of life on Earth and it is clearly threatened.
Slow-onset events (SOE) such as sea level rise, desertification, salinisation, ocean acidification, loss of biodiversity and forests or glacial retreat fall under loss and damage (L&D) from climate change impacts under the United Nations Framework Convention on Climate Change and are increasingly threatening the environment and people's livelihoods. Irreversible SOE are closely linked to non-economic losses (NEL) such as health, human mobility or loss of ecosystem services. Neither L&D from SOE nor NELs have a dedicated funding stream.
Earth's ecosystems, upon which all life depends, are in a severe state of degradation. The upcoming UN Decade of Ecosystem Restoration aims to “prevent, halt and reverse the degradation of ecosystems on every continent and in every ocean.” These Voices articulate why and what action is urgently needed.
A grand challenge facing humanity is how to produce food for a growing population in the face of a changing climate and environmental degradation. Although empirical evidence remains sparse, management strategies that increase environmental sustainability, such as increasing agroecosystem diversity through crop rotations, may also increase resilience to weather extremes without sacrificing yields.
The relationships between the natural environment and poverty have been a central theme in the sustainability and development literatures. However, they have been less influential in mainstream international development and conservation policies, which often neglect or fail to adequately address these relationships. This paper examines how the Sustainable Development Goals (SDGs) may influence the framing of environment–poverty relationships. We argue that the SDGs’ comprehensive nature could provide an opportunity for better environment–poverty integration.
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.
