Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/12211
Title: A stochastic model for ecological systems with strong nonlinear response to environmental drivers: application to two water-borne diseases.
Authors: Codec, Claudia Torres
Lele, Subhash
Pascual, Mercedes
Bouma, Menno
Ko, Albert Icksang
Affilliation: Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil
University of Alberta. Department of Mathematical and Statistical Sciences. Edmonton Alberta, Canada
University of Michigan. Department of Ecology and Evolutionary Biology. Ann Arbor, USA
London School of Hygiene and Tropical Medicine. Department of Infectious and Tropical Diseases. Keppel Street, London
Fundação Oswaldo Cruz. Centro de Pesquisas Gonçalo Moniz. Salvador, BA, Brasil
Abstract: Ecological systems with threshold behaviour show drastic shifts in population abundance or species diversity in response to small variation in critical parameters. Examples of threshold behaviour arise in resource competition theory, epidemiological theory and environmentally driven population dynamics, to name a few. Although expected from theory, thresholds may be difficult to detect in real datasets due to stochasticity, finite population size and confounding effects that soften the observed shifts and introduce variability in the data. Here, we propose a modelling framework for threshold responses to environmental drivers that allows for a flexible treatment of the transition between regimes, including variation in the sharpness of the transition and the variance of the response. The model assumes two underlying stochastic processes whose mixture determines the system's response. For environmentally driven systems, the mixture is a function of an environmental covariate and the response may exhibit strong nonlinearity. When applied to two datasets for water-borne diseases, the model was able to capture the effect of rainfall on the mean number of cases as well as the variance. A quantitative description of this kind of threshold behaviour is of more general application to predict the response of ecosystems and human health to climate change.
Keywords: Nonlinear
Cholera
Leptospirosis
Seasonality
Disease dynamics
Extrinsic forcing
DeCS: Cólera/transmissão
Ecossistema
Leptospirose/transmissão
Modelos Biológicos
Chuvas
Processos Estocásticos
Microbiologia da Água
Animais
Cólera/epidemiologia
Surtos de Doenças/estatística & dados numéricos
Humanos
Leptospirose/epidemiologia
Roedores
Estações do Ano
Fatores de Tempo
Issue Date: 2008
Publisher: Royal Society, The
Citation: CODEC, C. T. et al. A stochastic model for ecological systems with strong nonlinear response to environmental drivers: application to two water-borne diseases. Journal of the Royal Society Interface, v. 5, n. 19, p. 247-252, 2008.
DOI: 10.1098/rsif.2007.1135
ISSN: 1742-5689
Copyright: open access
Appears in Collections:BA - IGM - Artigos de Periódicos

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