Dynamic models in research and management of biological invasions. (1st July 2017)

• Record Type: Journal Article
• Authors: Buchadas, Ana; Vaz, Ana Sofia; Honrado, João P.; Alagador, Diogo; Bastos, Rita; Cabral, João A.; Santos, Mário; Vicente, Joana R.
• Is Part Of: Journal of environmental management. Volume 196(2017)
• Page Start: 594
• Page End: 606
• Publication Date: 2017-07-01
• Subjects: Hybrid models -- Management -- Non-native species -- Scientometrics -- Spatial-temporal dynamics -- Static models; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2017.03.060
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Invasive species are increasing in number, extent and impact worldwide. Effective invasion management has thus become a core socio-ecological challenge. To tackle this challenge, integrating spatial-temporal dynamics of invasion processes with modelling approaches is a promising approach. The inclusion of dynamic processes in such modelling frameworks (i.e. dynamic or hybrid models, here defined as models that integrate both dynamic and static approaches) adds an explicit temporal dimension to the study and management of invasions, enabling the prediction of invasions and optimisation of multi-scale management and governance. However, the extent to which dynamic approaches have been used for that purpose is under-investigated. Based on a literature review, we examined the extent to which dynamic modelling has been used to address invasions worldwide. We then evaluated how the use of dynamic modelling has evolved through time in the scope of invasive species management. The results suggest that modelling, in particular dynamic modelling, has been increasingly applied to biological invasions, especially to support management decisions at local scales. Also, the combination of dynamic and static modelling approaches (hybrid models with a spatially explicit output) can be especially effective, not only to support management at early invasion stages (from prevention to early detection), but also to improve the monitoring of invasion processes and impact assessment. Further development and testing of such hybrid models may well be regarded as a priority for future research aiming to improve the management of invasions across scales. Highlights: Ecological modelling has been increasingly used in invasion biology. Dynamic modelling has been largely useful for local management of invasive species. Static and dynamic hybrid models have showed to be useful complementary approaches. Hybrid models are most relevant to support preventive stages of invasion management. Hybrid models should represent a priority for future invasion management efforts.