Prediction of current and future potential distributions of theEucalyptuspestLeptocybe invasa(Hymenoptera: Eulophidae) in China using the CLIMEX model

Abstract

BACKGROUND: The wasp Leptocybe invasaFisher & LaSalle (Hymenoptera: Eulophidae), a Eucalyptus (Myrtaceae) pest native to Australia, has caused economic and ecologic losses in China. It is a serious pest in southern provinces. Because climate is a limiting factor in insect distribution, we used the model CLIMEX to predict the effect of climate change on potential current and future distributions of L. invasa in China. Data were collected on the current locations of this wasp, along with the damage incurred to Eucalyptus. These data were used to create a forecast model to predict potential current and future distribution maps of L. invasa in China. RESULTS:The verification results showed that 99.5% of the distribution samples formulated by the model are highly reliable and accurate. The result predicted that the potential current distribution of L. invasa will concentrate south of the Yellow River basin. The future distribution maps predicted a small-scale potential expansion north-northwest of Guangxi and more areas within China will provide increasingly suitable habitats for colonization by L. invasa. CONCLUSION: These distribution predications will be useful in determining where preventive and control measures should be implemented against this pest wasp in Eucalyptus throughout China.

Current and future potential geographical distribution of Bactericera cockerelli: an invasive pest of increasing global importance

“…Our results closely agree with potential distribution projections made by Wan et al 2020 using MaxEnt. Both MaxEnt and CLIMEX are widely used ecological niche modelling tools to predict species distributions effectively (Byeon, Jung, & Lee 2018; Huang et al 2019; Liu & Shi 2020). The MaxEnt software is a correlative model used to find the maximum entropy distribution probability to predict potential distributions considering the primary climate variables that affect the target species.…”

Variation in the potential distribution of Agrotis ipsilon (Hufnagel) globally and in Pakistan under current and future climatic conditions

“…Subsequently, the Kriging interpolation method was used to reclassify the data and visualise the potential A. ipsilon distributions in Pakistan and globally under the current and future climatic conditions. The same approach was adopted to present the distribution of the eucalyptus gall wasp Leptocybe invasa Fisher & LaSalle (Hymenoptera, Chalcidoidea) in China (Huang et al 2019).…”

Factors Influencing the Geographical Distribution of Dendroctonus armandi (Coleoptera: Curculionidae: Scolytidae) in China

“…The specialization (S) is defined as the ratio of the standard deviation of global distribution and the standard deviation of the studied species [37]. The HS grades were divided into four ranks: null (0-10), low (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), moderate (31-60), and high (61-100).…”