A Dynamic Modeling Framework to Evaluate the Efficacy of Control Actions for a Woody Invasive Plant, Hakea sericea. Morais, M. C., Gonçalves, B., & Cabral, J. A. Frontiers in Ecology and Evolution, Frontiers Media S.A., 2021. Cited by: 2; All Open Access, Gold Open Access![A Dynamic Modeling Framework to Evaluate the Efficacy of Control Actions for a Woody Invasive Plant, Hakea sericea [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Invasive alien species (IAS) are a significant component of global changes, causing severe economic and biodiversity damage. In this regard, Hakea sericea is one of the most widespread IAS throughout the Mediterranean region, including Portugal. The difficulty surrounding its management is exacerbated by post-fire situations, signifying a challenging task for managers. To assist in this effort, we used a system dynamic approach to model the population dynamics of Hakea sericea regarding the combinations of wildfire risk and control scenarios, which differ in periodicity, type of interventions, and cohort age. The ultimate goal of this study was to assess the effectiveness and costs of control efforts at reducing the abundance of this IAS. A Natura 2000 site Alvão/Marão (code PTCON0003) in northern Portugal, severely invaded by Hakea sericea, served as the study site. The modeling results demonstrate that Hakea sericea is likely to continue spreading if left uncontrolled. Although it may not be possible to ensure eradication of Hakea sericea from the study, repeated control actions aimed at the entire IAS population could be very effective in reducing its area. From a practical standpoint, removing all plants 24 months after each fire event followed by subsequent monitoring appears to be the most cost-effective strategy for managing Hakea sericea. Considering the modeling results, the dynamic modeling framework developed is a versatile, instructive tool that can support decision-making aimed at effective management of Hakea sericea. © Copyright © 2021 Morais, Gonçalves and Cabral.
@ARTICLE{Morais2021,
author = {Morais, Maria C. and Gonçalves, Berta and Cabral, João A.},
title = {A Dynamic Modeling Framework to Evaluate the Efficacy of Control Actions for a Woody Invasive Plant, Hakea sericea},
year = {2021},
journal = {Frontiers in Ecology and Evolution},
volume = {9},
doi = {10.3389/fevo.2021.641686},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104933161&doi=10.3389%2ffevo.2021.641686&partnerID=40&md5=01607538eb1ae5ddeff5d4d16a5beb17},
affiliations = {Centre for the Research, Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal; Laboratory of Applied Ecology, Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal},
abstract = {Invasive alien species (IAS) are a significant component of global changes, causing severe economic and biodiversity damage. In this regard, Hakea sericea is one of the most widespread IAS throughout the Mediterranean region, including Portugal. The difficulty surrounding its management is exacerbated by post-fire situations, signifying a challenging task for managers. To assist in this effort, we used a system dynamic approach to model the population dynamics of Hakea sericea regarding the combinations of wildfire risk and control scenarios, which differ in periodicity, type of interventions, and cohort age. The ultimate goal of this study was to assess the effectiveness and costs of control efforts at reducing the abundance of this IAS. A Natura 2000 site Alvão/Marão (code PTCON0003) in northern Portugal, severely invaded by Hakea sericea, served as the study site. The modeling results demonstrate that Hakea sericea is likely to continue spreading if left uncontrolled. Although it may not be possible to ensure eradication of Hakea sericea from the study, repeated control actions aimed at the entire IAS population could be very effective in reducing its area. From a practical standpoint, removing all plants 24 months after each fire event followed by subsequent monitoring appears to be the most cost-effective strategy for managing Hakea sericea. Considering the modeling results, the dynamic modeling framework developed is a versatile, instructive tool that can support decision-making aimed at effective management of Hakea sericea. © Copyright © 2021 Morais, Gonçalves and Cabral.},
author_keywords = {biological invasions; invasive species management; post-fire vegetation dynamics; silky hakea; system dynamics},
correspondence_address = {M.C. Morais; Centre for the Research, Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal; email: cmorais@utad.pt},
publisher = {Frontiers Media S.A.},
issn = {2296701X},
language = {English},
abbrev_source_title = {Front. ecol. evol.},
type = {Article},
publication_stage = {Final},
source = {Scopus},
note = {Cited by: 2; All Open Access, Gold Open Access}
}
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