2021
DOI: 10.1002/ece3.7476
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Predicting the potential distribution and forest impact of the invasive species Cydalima perspectalis in Europe

Abstract: The incidence of alien species to invaded host ecosystems has increased in recent years due to climate change and the growth in international trade (Hulme, 2003). The movement of alien species (not native to a specific location, also referred to as introduced or non-native species) has been linked to human activity for millennia due to international trade that favors the accidental introduction of species into new ecosystems (Bradshaw et al., 2016;Hulme, 2009). The association is so strong that key moments in … Show more

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Cited by 21 publications
(11 citation statements)
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“…Since the value of r was larger than zero (0.05 day À1 ) and according to Smith (1991), this parameter can be considered the most appropriate measure of fitness, and the increasing C. perspectalis population growth can, to some extent, be predicted. It can be hypothesised that the moth dispersal was enabled by several factors, namely the positive value of the intrinsic rate of natural increase calculated, the inefficiency of most of the indigenous species of natural enemies (Wan et al, 2014), the presence of the host plant and climate suitability (Canelles et al, 2021). Such conjuncture could, in part, account for C. perspectalis dissemination across Northern Iran.…”
Section: Discussionmentioning
confidence: 99%
“…Since the value of r was larger than zero (0.05 day À1 ) and according to Smith (1991), this parameter can be considered the most appropriate measure of fitness, and the increasing C. perspectalis population growth can, to some extent, be predicted. It can be hypothesised that the moth dispersal was enabled by several factors, namely the positive value of the intrinsic rate of natural increase calculated, the inefficiency of most of the indigenous species of natural enemies (Wan et al, 2014), the presence of the host plant and climate suitability (Canelles et al, 2021). Such conjuncture could, in part, account for C. perspectalis dissemination across Northern Iran.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, quantitative impact prediction systems with occurrence reports used to distinguish between well established and ephemeral populations. Impacts are more likely in new areas that are climatically similar to previously affected sites (Venette 2017, Canelles et al 2021.…”
Section: Empirical Assessment Of Prior Pest Activitymentioning
confidence: 96%
“…To our knowledge, two models have been developed to predict potential distribution of BTM for Europe, one CLIMEX [34] and one MaxEnt model [35]. While MaxEnt models are based on the known distribution of organisms and their surrounding environment [36], CLI-MEX models add information on the species' biology including temperature-dependent development, sensitivity to humidity, and changes in daylength [33].…”
Section: Introductionmentioning
confidence: 99%