Human dimensions of climate change: the vulnerability of small farmers in the Amazon

This paper argues for a twofold perspective on human adaptation to climate change in the Amazon. First, we need to understand the processes that mediate perceptions of environmental change and the behavioural responses at the levels of the individual and the local population. Second, we should take into account the process of production and dissemination of global and national climate information and models to regional and local populations, especially small farmers. We discuss the sociocultural and environmental diversity of small farmers in the Amazon and their susceptibility to climate change associated with drought, flooding and accidental fire. Using survey, ethnographic and archival data from study areas in the state of Pará, we discuss farmers' sources of knowledge and long-term memory of climatic events, drought and accidental fire; their sources of climate information; their responses to drought and fire events and the impact of changing rainfall patterns on land use. We highlight the challenges of adaptation to climate change created by the influence of migration and family turnover on collective action and memory, the mismatch of scales used to monitor and disseminate climate data and the lack of extension services to translate large-scale forecasts to local needs. We found that for most farmers, memories of extended drought tend to decrease significantly after 3 years. Over 50% of the farmers interviewed in 2002 did not remember as significant the El Niño Southern Oscillation (ENSO) drought of 1997/1998. This helps explain why approximately 40% of the farmers have not changed their land-use behaviours in the face of the strongest ENSO event of the twentieth century

Connecting diverse knowledge systems for enhanced ecosystem governance: The multiple evidence base approach

Indigenous and local knowledge systems aswell as practitioners’ knowledge can provide valid anduseful knowledge to enhance our understanding of governanceof biodiversity and ecosystems for human wellbeing.There is, therefore, a great need within emergingglobal assessment programs, such as the IPBES and otherinternational efforts, to develop functioning mechanismsfor legitimate, transparent, and constructive ways of creatingsynergies across knowledge systems. We present themultiple evidence base (MEB) as an approach that proposesparallels whereby indigenous, local and scientificknowledge systems are viewed to generate differentmanifestations of knowledge, which can generate newinsights and innovations through complementarities. MEBemphasizes that evaluation of knowledge occurs primarilywithin rather than across knowledge systems. MEB on aparticular issue creates an enriched picture of understanding,for triangulation and joint assessment ofknowledge, and a starting point for further knowledgegeneration

Lessons from complexity science for urban health and well-being

From a complexity science perspective, urban health and well-being challenges emerge due to the complexity of urban systems. Adverse urban health outcomes emerge from failing to respond to that complexity by taking a systems approach in knowledge and action which would open opportunity spaces for human agents to create benefits which in turn would generate salutogenic health and well-being outcomes. Lessons learned from complexity science suggest that adverse urban health outcomes emerge from a poor understanding of their complexity and from not engaging with them in a transdisciplinary, integrated fashion. A conceptual framework is presented which combines systems models from the natural and social sciences and explains how opportunities for advancing health and well-being can be co-created. The framework demonstrates that taking a systems approach is a necessary cognitive response from learning the lessons of complexity science and from understanding that humans are an inextricable part of the systems they aim at understanding and managing. Such response is at the core of systems intelligence. The implications are far reaching for the science of urban health and well-being