Keywords
Agricultural landscapes, Spatially explicit models, Crop rotations, Crop phenology, GIS
Location
Session D1: GIS and Environmental Modeling for Decision Support
Start Date
16-6-2014 9:00 AM
End Date
16-6-2014 10:20 AM
Abstract
The need to reduce the use of pesticides in agricultural ecosystems requires studying and developing new pest regulation methods. Individual-based models are useful to better understand how dynamics of insects interact with agricultural landscapes and to study the potential effects of alternative regulation methods, taking into account the spatial and temporal stochasticity of agricultural ecosystems caused by human management. Crop rotations and crop phenology have an important impact on the life cycles of populations of insects. We developed an individual-based model simulating the dynamics of an agricultural landscape from GIS data. The spatiotemporal stochasticity is simulated using typical landcover rotations applied by farmers and crop phenology directly set by the user according to his needs. Spatiotemporal patterns are calculated from an initial real agricultural landscape and plausible landcover rotations. We used the Gama simulation platform which has strong built-in functions for spatial data treatment and aggregated population dynamics. We validated our model by comparing our landscape to in situ landuse indicators and with expert assessments. The landscape model was then applied to a population of aphids in a long term social ecological research site in southwestern France. We describe how the population evolves through time and how the dynamics respond to spatial modifications of the landscape. Better understanding these interactions allows us to point out new interesting management methods that need to be further investigated. This model is applicable to different agricultural landscapes and can also be linked to population dynamics of almost any type.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Managing agricultural landscapes for favouring ecosystem services provided by biodiversity: a spatially explicit model of crop rotations in the GAMA simulation platform
Session D1: GIS and Environmental Modeling for Decision Support
The need to reduce the use of pesticides in agricultural ecosystems requires studying and developing new pest regulation methods. Individual-based models are useful to better understand how dynamics of insects interact with agricultural landscapes and to study the potential effects of alternative regulation methods, taking into account the spatial and temporal stochasticity of agricultural ecosystems caused by human management. Crop rotations and crop phenology have an important impact on the life cycles of populations of insects. We developed an individual-based model simulating the dynamics of an agricultural landscape from GIS data. The spatiotemporal stochasticity is simulated using typical landcover rotations applied by farmers and crop phenology directly set by the user according to his needs. Spatiotemporal patterns are calculated from an initial real agricultural landscape and plausible landcover rotations. We used the Gama simulation platform which has strong built-in functions for spatial data treatment and aggregated population dynamics. We validated our model by comparing our landscape to in situ landuse indicators and with expert assessments. The landscape model was then applied to a population of aphids in a long term social ecological research site in southwestern France. We describe how the population evolves through time and how the dynamics respond to spatial modifications of the landscape. Better understanding these interactions allows us to point out new interesting management methods that need to be further investigated. This model is applicable to different agricultural landscapes and can also be linked to population dynamics of almost any type.
