Last year at COP27, the international community came together to agree on the creation of a new fund that would specifically address loss and damage. Our experts Olivia Serdeczny and Tabea Lissner step through how the scientific community can contribute and inform the evidence base for policy choices in nature climate change.  

This paper provides an assessment on regional perceptions of adaptation constraints and avenues to overcome them based on a mixed-method approach, combining an online survey and semi-structured interviews with adaptation experts from Caribbean SIDS. It finds that finance is the largest constraint being faced.  

Vulnerable communities often live in climate-exposed locations, and have access to fewer resources to prepare for and respond to disasters. This is the case for Haitian migrants in The Bahamas. Haitian communities were the locus of the majority of deaths and missing people attributed to the 2019 Hurricane Dorian and faced a series of distributional, procedural and recognition injustices. We investigate the historical factors and contemporary conditions of Haitian communities in The Bahamas that resulted in significant inequities, disproportional impacts and infractions of human rights.  

This report looks into the application of CLIMADA (CLIMate ADAptation), a natural catastrophe model that calculates climate risk and potential of adaptation in the Caribbean. The study marks a starting point to determine economic losses and damages as well as adaptation measures for the region which is commonly exposed to natural disasters.  

Assessing global progress on human adaptation to climate change is an urgent priority. Although the literature on adaptation to climate change is rapidly expanding, little is known about the actual extent of implementation. This paper systematically screened >48,000 articles using machine learning methods and a global network of 126 researchers to identify eight priority areas for research.  

Increasing evidence suggests that climate change impacts are already observed around the world. Global environmental assessments face challenges to appraise the growing literature. Here we use the language model BERT to identify and classify studies on observed climate impacts, producing a comprehensive machine-learning-assisted evidence map.  

Constraints and limits to adaptation are critical to understanding the extent to which human and natural systems can successfully adapt to climate change.