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Browsing IPS - ESTB - SEQB - Artigos científicos by Author "Barreira, Raquel"
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- Developing an Agent-Based Model for Haplodrassus rufipes (Araneae: Gnaphosidae), a Generalist Predator Species of Olive Tree Pests: Conceptual Model OutlinePublication . Barreira, Raquel; Paz, Maria Catarina; Amaro, Luís; Sousa, José Paulo; Benhadi-Marín, Jacinto; Rasko, Mykola; Silva, António Alves da; Alves, Joana; Chuhutin, Andrey; Topping, Christopher John; Santos, Sónia A.P.Olive growing has been facing major sustainability challenges due to intensification, resulting in an increased use of pesticides and fertilizers and, consequently, in the depletion of natural resources and loss of biodiversity and landscape values. This has created an urgent need to develop models for managing complex agroecosystems that integrate factors affecting food quality, sustainability and biodiversity, providing a supporting technique to understand the consequences of agricultural management for ecosystem services. We are developing an advanced agent-based simulation (ABS) applied to olive groves to model the effects of farming practices on the abundance of olive pest predators. ABS is a modeling technique where agents represent animals (predator arthropods, in our case) acting in their environment. Our model is based on an ABS system developed by Aarhus University, the ALMaSS, which comprises highly detailed farm management and spatial structures to construct dynamic landscapes where agents operate. In this work, we present the conceptual model for one of the selected species, Haplodrassus rufipes (Araneae: Gnaphosidae.
- Processamento de dados de temperatura do solo para simulações computacionais de um agro-ecossistemaPublication . Paz, Maria Catarina; Santos, Sónia A.P.; Barreira, RaquelOs serviços de ecossistema, como a limitação natural de pragas, incluem-se nas estratégias de gestão de agro-ecossistemas e o seu uso pode ser otimizado com base no conhecimento provindo da modelação computacional das pragas, dos seus predadores, e da paisagem. Neste artigo focamo-nos no processamento de dados de temperatura do solo, necessários para o funcionamento dos modelos de praga-predador Bactrocera oleae (mosca da azeitona) e Haplodrassus rufipes (aranha do solo) no olival. A metodologia de processamento permitiu-nos (1) completar as lacunas existentes na série de dados de temperatura do solo, recolhidos com periodicidade horária, (2) convertê-la numa série com periodicidade diária, e ainda (3) criar uma variável adicional, a temperatura média diária do solo durante o crepúsculo vespertino. Este último passo possibilita que não haja uma perda de informação no que diz respeito àquele período específico do dia, reduzindo-se o erro associado à desaquação da resolução temporal da variável climática média diária para exprimir um fenómeno que ocorre apenas durante um determinado número de horas do dia.
- Processing of high-resolution temporal climate data for daily simulations of a complex agro-ecosystemPublication . Paz, Maria Catarina; Santos, Sónia A.P.; Barreira, RaquelEcosystem services, such as natural pest control, are essential tools to be incorpora ted in future agricultural methodologies. In this paper we focus on the processing of climate data series that feed to a system of computer models simulating daily inte ractions of a pest and its predator, in a dynamic landscape, the olive grove. We filled hourly climate data series and converted them to daily climate series using R langua ge. The methodology used produces acceptable climate data series for the system to run and allows to segregate specific periods of the day while maintaining daily tem poral resolution. We expect this paper can be helpful when dealing with similar data and purpose.