Supporting the spatial management of invasive alien plants through assessment of landscape dynamics and connectivity
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Abstract
Invasive alien species are responsible for several negative impacts worldwide. Managing biological invasions is often difficult
and the success rate is quite low, but with good planning it is possible to achieve good results. Besides employing the correct
methods and techniques, an overall strategy based on landscape dynamics and expected spatial patterns can be fundamental
to achieve success. The decision of where to act can be embedded in a general strategy based on several criteria/goals such as
control of large populations, connectivity disruption, and so on. This work focused on Acacia dealbata in a Natura 2000 site
in Portugal, how the current amount and distribution can affect the spread pattern, and different possible strategies to
approach the management. Based on the species dispersal traits, we argue that not only the area but also the perimeter (there fore, the shape) and location of the patches should be considered when fighting the invasion. Three scenarios were designed and
compared using the perimeter–area ratio, a landscape dynamics analysis, and a connectivity index. Results show that removing
the patches with higher perimeter–area ratio (mostly small satellite patches) would be more impactful than removing the larger
patch or removing random intermediary perimeter–area patches first. After this approach based on landscape dynamics, the
employment of a connectivity assessment provided an ordered list of patches to remove sequentially. Overall, this approach can
be valuable in the early steps of the planning process, supporting better decisions regarding the available resources and contributing to maximize the effectiveness of the action
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Machado, R., Neto Duarte, L., Gil, A., Sousa‐Neves, N., Pirnat, J., & Santos, P. (2022). Supporting the spatial management of invasive alien plants through assessment of landscape dynamics and connectivity. Restoration Ecology, 30(5), e13592.