The Arctic is at the forefront of climate change, undergoing some of the most rapid environmental transformations globally. Here, we examine the impacts of climate change on the livelihoods in the coastal Inuit community of Hopedale, Nunatsiavut, Canada. The study examines recently evolved adaptation strategies employed by Inuit and the challenges to these adaptations. We document changing sea ice patterns, changing weather patterns and the impact of invasive species on food resources and the environment. Utilising knowledge co-production and drawing upon Indigenous knowledge, we monitor the changes and multiple stresses through direct observations, engagement with rights holders and community experiences to characterise climate risks and associated changes affecting livelihoods. We use both decolonising research and participatory methodologies to develop collaboration and partnership, ensuring that monitoring reflects local priorities and realities while also fostering trust and collaboration. We showcase that monitoring environmental trends involves more than data collection; it includes observing and analysing how environmental changes affect community well-being, particularly in terms of food security, cultural practices, economic activities, mental health, sea ice changes and weather patterns. The paper contributes to a nuanced understanding of Inuit resilience and experiences in confronting climate risks and the broader implications for Indigenous communities confronting climate challenges.

Comprehensive housing stock information is crucial for informing the development of climate resilience strategies aiming to reduce the adverse impacts of extreme climate hazards in high-risk regions like the Caribbean. In this study, we propose an end-to-end workflow for rapidly generating critical baseline exposure data using very high-resolution drone imagery and deep learning techniques. Specifically, our work leverages the segment anything model (SAM) and convolutional neural networks (CNNs) to automate the generation of building footprints and roof classification maps. We evaluate the cross-country generalizability of the CNN models to determine how well models trained in one geographical context can be adapted to another. Finally, we discuss our initiatives for training and upskilling government staff, community mappers, and disaster responders in the use of geospatial technologies. Our work emphasizes the importance of local capacity building in the adoption of AI and Earth Observation for climate resilience in the Caribbean.

Maritime archaeology has been identified as a significant field among the humanities that could contribute to the global sustainable development agenda. This article explores the relevance of maritime archaeological studies to initiatives of climate action. Βy reviewing the contributions of various state-of-the-art projects and by linking their aims and outcomes to specific targets of the UN Sustainable Development Goals, the author highlights the benefits of involving maritime archaeological research in the pursuit of sustainability and climate resilience. This involvement could play a key role in reinforcing human-centred and culturally aware solutions to the current climate change effects that threaten human populations, especially in maritime regions. It is hoped that this discussion will inspire researchers in the humanities, archaeology, and maritime archaeology in particular, to use their expertise within the framework provided by the sustainable development agenda to help build a better future.

Climate change poses serious threats to agriculture. As a primary staple crop and major contributor to agriculturally derived greenhouse gas (GHG) emissions, rice systems are of particular significance to building climate resilience. We report on a participatory assessment of climate resilience in organic and conventional rice systems located in four neighboring villages in Negros Occidental, Philippines. The Philippines is one of the foremost countries impacted by climate change, with an increasing incidence of climate-related disturbances and extensive coastlines, high population density and heavy dependence on agriculture. Using the United Nations Food and Agriculture Organization's Self-evaluation and Holistic Assessment of climate Resilience of farmers and Pastoralists (SHARP) tool, we measured 13 agroecosystem indicators of climate resilience, and assessed the degree to which household, farm, and community mechanisms and outcomes impact adaptation capacity, mitigation potential and vulnerability. We used a participatory approach to situate these indicators in their socio-ecological context, and identify targeted interventions for enhancing climate resilience based on local farmer experiences and socio-ecological conditions. Comparison of climate resilience indicators across organic and conventional rice systems in this region indicated that organic rice systems are more climate resilient than their conventional counterparts. As such, increased policy support for the development of organic rice systems are critically important as an adaptive mechanism to augment food security, mitigate GHG emissions and improve climate resilience in the Philippines.