Publication Date:
2023
Short description:
Modelling Invasion by AustralianAcaciaSpecies: Progress, Challenges and Opportunities / Vicente, J.R., Pinto, E.M., Guisan, A., Kueffer, C., Marchante, E., Kühn, I., Cabral, J.A., Gonçalves, J., Honrado, J.P., Alonso, J., Santos, M., Mouta, N., Bastos, R., Hall, S., Lozano, V., Vaz, A.S.. - (2023), pp. 496-513. [10.1079/9781800622197.0030]
abstract:
Australian Acacia species (‘wattles’) have been widely introduced outside Australia and some now rank among
the most widespread and damaging invasive trees globally. Early-warning systems that monitor the establish-
ment and spread of alien species or track their distribution are required to aid scientists, policy makers, land
managers and other stakeholders in the prevention of further wattle introductions and the control of invasive
populations already established.
This chapter provides an overview of commonly used models to study wattle invasions and, specifically,
modelling approaches aimed at predicting invasiveness that are useful for the early warning, assessment and
monitoring of wattles. A systematic review of published literature is first conducted to understand the
spatial-temporal extent of modelling applications across different wattle species, and to provide an overview on
the main modelling techniques and types of data adopted in wattle research. Applications of these models are
then illustrated by a set of case studies, specifically focused on the use of (i) remote sensing data, (ii) citizen
science data and (iii) the application of dynamic models to address wattle invasions.
The chapter integrates ideas and examples that can be useful for guiding the prediction of future wattle
introductions, establishment and invasions. Even though modelling tools have their limitations, they allow the
study of real-world problems through testing hypotheses and analysing potential scenarios, which is useful to
address topics like the adaptive management of ever-shifting social-ecological systems, such as invasive wattles.
the most widespread and damaging invasive trees globally. Early-warning systems that monitor the establish-
ment and spread of alien species or track their distribution are required to aid scientists, policy makers, land
managers and other stakeholders in the prevention of further wattle introductions and the control of invasive
populations already established.
This chapter provides an overview of commonly used models to study wattle invasions and, specifically,
modelling approaches aimed at predicting invasiveness that are useful for the early warning, assessment and
monitoring of wattles. A systematic review of published literature is first conducted to understand the
spatial-temporal extent of modelling applications across different wattle species, and to provide an overview on
the main modelling techniques and types of data adopted in wattle research. Applications of these models are
then illustrated by a set of case studies, specifically focused on the use of (i) remote sensing data, (ii) citizen
science data and (iii) the application of dynamic models to address wattle invasions.
The chapter integrates ideas and examples that can be useful for guiding the prediction of future wattle
introductions, establishment and invasions. Even though modelling tools have their limitations, they allow the
study of real-world problems through testing hypotheses and analysing potential scenarios, which is useful to
address topics like the adaptive management of ever-shifting social-ecological systems, such as invasive wattles.
Iris type:
2.1 Contributo in volume (Capitolo o Saggio)
List of contributors:
Vicente, Joana R.; Pinto, Eva M.; Guisan, Antoine; Kueffer, Christoph; Marchante, Elizabete; Kühn, Ingolf; Cabral, João A.; Gonçalves, João; Honrado, João P.; Alonso, Joaquim; Santos, Mário; Mouta, Nuno; Bastos, Rita; Hall, Stuart; Lozano, Vanessa; Vaz, Ana Sofia
Book title:
Wattles: Australian Acacia Species Around the World