Model of pathogen transmission between livestock and white-tailed deer in fragmented agricultural and forest landscapes
| Autor: | Amy C. Dechen Quinn, William F. Porter, David M. Williams, Sushil B. Tamrakar, Joan B. Rose, Andrey Guber |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
education.field_of_study
Environmental Engineering Ecology business.industry animal diseases Ecological Modeling 0208 environmental biotechnology Population Wildlife 02 engineering and technology 010501 environmental sciences Biology 01 natural sciences Manure 020801 environmental engineering Habitat parasitic diseases Grazing Livestock SWAT model education business Pathogen Software 0105 earth and related environmental sciences |
| Zdroj: | Environmental Modelling & Software. 80:185-200 |
| ISSN: | 1364-8152 |
| DOI: | 10.1016/j.envsoft.2016.02.024 |
| Popis: | The study summarizes the current knowledge on infection and recovery of white-tailed deer and cattle, and integrates this knowledge into the Soil and Water Assessment Tool (SWAT) via a new add-on module SIR (Susceptible - Infected - Recovered) for predicting pathogen transmission between livestock and deer. New processes modeled by the SWAT-SIR model include: (a) seasonal changes in deer population and habitat; (b) resource selection and seasonal changes in foliage consumption by deer; (c) ingestion of pathogens with water, foliage and via grooming soiled hide by deer and grazing cattle; (d) infection and recovery of deer and co-grazing cattle; (e) pathogen shedding by infected animals; (f) survival of pathogens in manure; (g) kinetic release of pathogens from applied manure and fecal material. The model output is linked with ARC-GIS to allow spatial and temporal analysis of pathogen distribution across the watershed for specific land use, weather and management scenarios. We developed an add-on module for SWAT model to predict pathogen transport.The module simulated pathogen transmission between livestock and white-tailed deer.The transmission occurs via pathogen ingestion with water, foliage and grooming.The model output allows spatial and temporal analysis of pathogen distributions. |
| Databáze: | OpenAIRE |
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