Modeling population growth and site specific control of the invasive Lantana camara L. (Verbenaceae) under differing fire regimes

The diversity, drivers, consequences and management of plant invasions in the mangrove ecosystems

Mangrove ecosystems, which occupy intertidal environments across tropical and subtropical regions, provide crucial ecosystem services, such as protecting the coastal areas by reducing the impact of cyclones, storms, and tidal waves. Anthropogenic activities such as human settlements, deforestation, pollution, and climate change have increased the risk of biological invasions in mangrove habitats. Plant species can be introduced to mangrove habitats via anthropogenic means, such as trade and transportation, urbanisation, and agriculture, as well as through natural processes like wind, floods, cyclones, and animal-assisted seed dispersal. Additionally, some native plants can become invasive due to the changes in the mangrove ecosystem. Invasive species can significantly affect coastal ecosystems by out-competing native flora for resources, thereby altering fundamental properties, functions, and ecosystem services of the mangrove forests. The successful establishment of invasive species depends on a complex interplay of factors involving the biological attributes of the invading species and the ecological dynamics of the invaded habitat. This review focuses on exploring the mechanisms of invasion, strategies used by invasive plants, the effects of invasive plants on mangrove habitats and their possible management strategies. Based on the literature, managing invasive species is possible by biological, chemical, or physical methods. Some non-native mangrove species introduced through restoration activities can often become more intrusive than native species. Therefore, restoration activities should prioritise avoiding the use of non-native plant species.

Management feasibility of established invasive plant species in Queensland, Australia: A stakeholders' perspective

Managing and monitoring invasive alien species (IAS) is costly, and because resources are limited, prioritization decisions are required for planning and management. We present findings on plant pest prioritization for 63 established invader species of natural and grazing ecosystems of Queensland, Australia. We used an expert elicitation approach to assess risk (species occurrence, spread, and impact) and feasibility of control for each IAS. We elicit semi-quantitative responses from diverse expert stakeholders to score IAS on three management approaches (biocontrol, chemical and mechanical) in relation to cost, effectiveness and practicality, and incorporate uncertainty in expert inputs and model outputs. In the process, we look for promising management opportunities as well as seek general trends across species' ecological groups and management methods. Stakeholders were cautiously optimistic about the feasibility of managing IAS. Taking into consideration all factors, the overall feasibility of control was uncorrelated with the stakeholders' level of confidence. However, within individual management criterion, positive trend was observed for the same bivariate traits for chemical control, and negative trends for biocontrol and mechanical controls. Utility and confidence in IAS management options were in the order: chemical > biocontrol = mechanical, with practicality and effectiveness being the main driver components. Management feasibility differed significantly between IAS life forms but not between habitats invaded. Lastly, we combined IAS risk assessment and management feasibility scores to create a risk matrix to guide policy goals (i.e. eradication, spread containment, protection of sensitive sites, targeted control, site management, monitoring, and limited action). The matrix identifies promising species to target for each of these policy outcomes. Overall, our general approach illustrates (i) the importance of understanding the feasibility of IAS control actions and the factors that drive it, and (ii) demonstrates how quantifying management feasibility can be used to enhance traditional risk assessment rankings to improve policy outcomes.

Dynamic models in research and management of biological invasions

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.