@article{fdi:010092692,
  title = {{M}odelling alternative management strategies of invasive tree species at the expansion front : {L}igustrum lucidum as a case study},
  author = {{M}ontti, {L}. and {P}almer, {S}. {C}. {F}. and {P}owell, {P}. {A}. and {B}urslem, {D}frp and {T}ravis, {J}. {M}. {J}. and {P}onchon, {A}urore},
  editor = {},
  language = {{ENG}},
  abstract = {{M}anaging invasive non-native species is a global challenge, especially for long-lived trees like {L}igustrum lucidum, known for its detrimental effects on invaded ecosystems. {U}sing individual-based models ({IBM}s), we simulated different control methods on the population dynamics and range expansion propensity of the established population. {A}cross different sets of simulations, we varied the number of life stages and sites targeted. {W}e additionally investigated how changing the management strategy over time affected outcomes. {C}ontrolling all life stages was essential to contain the expansion of {L}. lucidum. {R}emoving both reproductive and non-reproductive stages was more than twice as effective as removing either saplings or reproductive stages only, especially if a high number of sites were targeted every year. {T}he method of selecting sites for removal within the population was important if only saplings were removed; in which case targeting the most recently colonized sites was the most effective strategy. {F}inally, a strategy that switches after 5 years from controlling all stages to focusing exclusively on early life stages could be effective at reducing both the total population size and the area occupied. {P}ractical implication: {T}his approach could be valuable when the availability of long-term resources for control is limited. {T}he ability of {IBM}s to simulate various scenarios and assess outcomes at population and landscape levels enhances their utility for predicting invasive non-native species management success. {I}t can be a solution to reducing the time and cost of fieldwork, helping to identify potential limitations of control actions.},
  keywords = {biological invasions ; conservation ; control strategies ; individual-based ; model ; invasion containment ; {R}ange{S}hifter},
  booktitle = {},
  journal = {{E}cological {S}olutions and {E}vidence},
  volume = {6},
  numero = {1},
  pages = {e70012 [13 p.]},
  year = {2025},
  DOI = {10.1002/2688-8319.70012},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092692},
}