Predicting potential current distribution of Lycorma delicatula (Hemiptera: Fulgoridae) using MaxEnt model in South Korea
Abstract
Lycorma delicatula (Hemiptera: Fulgoridae) is invasive insect in Korea which causes plant damages by sucking and sooty molds. Lycorma delicatula was first detected in South Korea in 2004, where its introduction and spreading possibly were affected by human activity-related factors. Here, we used MaxEnt to describe current distribution of L. delicatula in Korea and tried to find out the impact of human influences for distribution. We used 143 sites of occurrence data, 19 bioclimatic variables, duration of temperature below -11{degrees}C, average daily minimum temperature in January, cumulative thermal unit variable, the distribution of grape orchard variable and human footprint to create models. These models were estimated by two sets of 24 candidates with feature combinations and regularization multipliers. In addition, these two sets were created as models with and without footprint for how human influence affect to distribution. Model selection for optimal model was performed by selecting a model with a lowest sum of each rank in small sample-size corrected Akaikes information criterion and difference between training and test AUC. Model of LQ10 parameter combinations was selected as optimal models for both model sets. Consequently, both of distribution maps from these models showed similar patterns of presence probability for L. delicatula. Both models expected that low altitude regions were relatively more suitable than mountain areas in Korea. Footprint might be limited for the distribution and L. delicatula might already occupy most of available habitats. Human-related factors might contribute to spread of L. delicatula to uninfected areas.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Distribution modeling of Lantana camara and identification of hotspot for future management of the species in the lower Shivalik region of Uttarakhand, India
T. Mondal, D. D. Bhatt, D. K. Ramesh·bioRxiv·Dec 31, 2020
- Evaluating MaxEnt Modeling Strategies for Predicting Suitable Habitats of Invasive Insects Under Climate Change Scenarios
Pankaj Chouhan, Olmo Zavala‐Romero, Muhammad A. Haseeb·bioRxiv·Apr 21, 2026
- Forecasting the potential distribution of the invasive vegetable leafminer using "top-down" and "bottom-up" models
J. L. Maino, E. I. Pirtle, … P. A. Umina·bioRxiv·Dec 6, 2019
- Climate, human influence, and the distribution limits of the invasive European earwig, Forficula auricularia, in Australia
M. Hill, M. Binns, … S. Macfadyen·bioRxiv·Jul 28, 2018
- Mapping long-distance jump dispersal risk by leveraging transport infrastructure data and sampling bias correction: a case study with the invasive spotted lanternfly (Lycorma delicatula)
Joseph A. Keller, Nadège Bélouard, … Matthew R. Helmus·bioRxiv·Oct 30, 2026
- Assessing distribution changes of selected native and alien invasive plant species under changing climatic conditions in Nyeri County, Kenya
J. M. Waititu, C. N. Mundia, A. W. Sichangi·bioRxiv·Aug 25, 2020