Extensão do Centro de Ecologia Funcional da Universidade de Coimbra na Universidade Aberta | Artigos em revistas internacionais / Papers in international journals
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- Bridging the gap between field experiments and machine learning: the EC H2020 B-GOOD Project as a case study towards automated predictive health monitoring of honey bee coloniesPublication . Van Dooremalen, Coby; Ulgezen, Zeynep N.; Dall’Olio, Raffaele; Godeau, Ugoline; Duan, Xiaodong; Sousa, José Paulo; Schäfer, Marc O.; Beaurepaire, Alexi; Van Gennip, Pim; Schoonman, Marten; Flener, Claude; Matthijs, Severine; Claeys Boúúaert, David; Verbeke, Wim; Freshley, Dana; Valkenburg, Dirk-Jan; Van Den Bosch, Trudy; Schaafsma, Famke; Peters, Jeroen; Xu, Mang; Le Conte, Yyes; Alaux, Cedric; Dalmon, Anne; Paxton, Robert J.; Tehel, Anja; Streicher, Tabea; Dezmirean, Daniel S.; Giurgiu, Alexandru I.; Topping, Christopher J.; Williams, James Henty; Capela, Nuno; Lopes, Sara; Alves, Fátima; Alves, Joana; et al.; Alves, FátimaHoney bee colonies have great societal and economic importance. The main challenge that beekeepers face is keeping bee colonies healthy under ever-changing environmental conditions. In the past two decades, beekeepers that manage colonies of Western honey bees (Apis mellifera) have become increasingly concerned by the presence of parasites and pathogens affecting the bees, the reduction in pollen and nectar availability, and the colonies’ exposure to pesticides, among others. Hence, beekeepers need to know the health condition of their colonies and how to keep them alive and thriving, which creates a need for a new holistic data collection method to harmonize the flow of information from various sources that can be linked at the colony level for different health determinants, such as bee colony, environmental, socioeconomic, and genetic statuses. For this purpose, we have developed and implemented the B-GOOD (Giving Beekeeping Guidance by computational-assisted Decision Making) project as a case study to categorize the colony’s health condition and find a Health Status Index (HSI). Using a 3-tier setup guided by work plans and standardized protocols, we have collected data from inside the colonies (amount of brood, disease load, honey harvest, etc.) and from their environment (floral resource availability). Most of the project’s data was automatically collected by the BEEP Base Sensor System. This continuous stream of data served as the basis to determine and validate an algorithm to calculate the HSI using machine learning. In this article, we share our insights on this holistic methodology and also highlight the importance of using a standardized data language to increase the compatibility between different current and future studies. We argue that the combined management of big data will be an essential building block in the development of targeted guidance for beekeepers and for the future of sustainable beekeeping.
- Opposing mastery, claiming the future: life and death beyond capitalist modernityPublication . Aldeia, JoãoCapitalist modernity accelerates the extinction of non-human species and leads to the contraction of human vital possibilities. Extinction has been the outcome of what Deborah Bird Rose called double death, i.e., a disruption of multispecies bonds that makes the death of individuals stop nourishing other individuals of other species, which results in a cascade of death. Double death stems from attempts of dominant classes to exercise mastery over other humans, non-humans and things, which has historically led to the establishment of hierarchical forms of socio-ecological organization. Although not all empirical hierarchies lead to death, the potential to kill is inherent to the principle of hierarchy because it is based on domination. In capitalist modernity, mastery has Cartesian and Utilitarian qualities that make double death particularly severe. However, since mastery is what causes the problem, opposing capitalist modernity is a crucial but insufficient step in the fight against double death, which requires ending the principle of hierarchy itself.
- The human-nature relationship at the heart of the green transitionPublication . Alves, Fátima; Vidal, Diogo GuedesO texto apresenta uma leitura crítica da relação humano-natureza como eixo estruturante da transição ecológica, enquadrando-a num cenário de fenómenos socioecológicos interligados (perda de biodiversidade, insegurança alimentar, secas, incêndios, aumento de temperaturas, entre outros), com riscos sistémicos para a vida humana e não humana. Defende-se que o desafio central consiste em articular dinâmicas biofísicas e sistemas socioculturais de forma interdependente, sob o princípio de “não deixar ninguém para trás”, incluindo os elementos não humanos. É valorizado o papel de mecanismos democráticos de inovação e participação para lidar com a complexidade, ilustrando-se esta abordagem através do projeto PHOENIX, com pilotos em sete países europeus e um conjunto de tarefas orientadas para (re)significar natureza/ambiente, problematizar desigualdades e clima, e desenhar método e de monitorização do impacto.