@InProceedings{SeciCPSALAAJ:2022:FiTrVa,
               author = "Seci, Mat{\'u}s and Carmenta, Rachel and Pessoa, Ana Carolina 
                         Moreira and Silva J{\'u}nior, Celso Henrique Leite da and Andela, 
                         Niels and Le Quere, Corinne and Anderson, Liana O. and 
                         Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Jones, Matthew 
                         William",
          affiliation = "{University of East Anglia} and {University of East Anglia} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Cardiff University} 
                         and {University of East Anglia} and {Centro Nacional de 
                         Monitoramento e Alerta de Desastres Naturais (CEMADEN)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of East Anglia}",
                title = "Fire trends and variability across distinct human typologies of 
                         the Brazilian Amazon",
                 year = "2022",
         organization = "AGU Fall Meeting",
            publisher = "AGU",
             abstract = "Limiting deforestation fires and wildfires in Amazonia is central 
                         to protecting one of Earths densest carbon stocks and to 
                         safeguarding the well-being of populations living in the region. 
                         Humans significantly alter the patterns and trends of fire in 
                         tropical forests by intentionally igniting fires for 
                         deforestation, unintentionally igniting fires, and reducing the 
                         resilience of forest edges to droughts, which are becoming more 
                         frequent and extreme under anthropogenic climate change. 
                         Nonetheless, spatial variation in the relationship between people 
                         and fire has regularly been overlooked in analyses of fire 
                         patterns in tropical forests, leading to an overgeneralised 
                         understanding of how people influence fire trends in these regions 
                         and an unsatisfactory capacity to model change in fire activity 
                         under shifting climatic and socioeconomic circumstances. Here, we 
                         use a novel combination of social, economic, infrastructure and 
                         land use datasets with a clustering approach to distinguish four 
                         distinct human typologies in over 500 municipalities of the 
                         Brazilian Amazon. We show that trends and variability in fire 
                         ignition rate, fire size, and burned area vary across the types. 
                         The burned area fraction reaches up to 10% during drought years in 
                         the specialised cattle ranching type, compared to 5% or less in 
                         the diversified agriculture type, 3% or less in the subsistence 
                         economy type, and less than 1% in the traditional type. We also 
                         show that the seasonality of fire is strongly modulated by humans 
                         in intensive agriculture types as compared with subsistence 
                         economy or traditional types, with the largest fires occurring 
                         earlier in the dry season. Our results demonstrate that making 
                         better use of diverse datasets spanning the environmental and 
                         social sciences can unlock new understanding of fire patterns in 
                         Amazonia. Our results suggest that policies intending to reduce 
                         environmental degradation may be most successful if targeted in 
                         specific municipalities and during specific periods of the year, 
                         especially during droughts. Our typological map of distinctive 
                         human spaces in Amazonia could also be used to improve the 
                         integration of human controls on fire in the region, bringing 
                         fresh opportunities to improve model predictions of fire and 
                         ecosystem disturbance under climate and socioeconomic change.",
  conference-location = "Chicago, IL",
      conference-year = "12-16 Dec. 2022",
        urlaccessdate = "23 maio 2024"
}