Impact of climate change on the distribution of in China: predictions based on the MaxEnt model.

Introduction: , a historically valued edible and medicinal fungus in China, has been experiencing a critical decline in abundance due to ecological degradation and overexploitation. Understanding its potential distribution is essential for promoting sustainable harvesting practices.

Methods: This study utilizes the MaxEnt model, combined with known distribution records and 22 environmental variables, to predict the potential distribution of under three representative emission scenarios (CMIP6: SSP1-2.

Predicted Spatial Patterns of Suitable Habitats for Under Different Climate Scenarios.

is the largest butterfly in China and is highly valued for its ornamental beauty. Due to being classified as a national second-class protected species in China, studying its spatial distribution is crucial for developing effective conservation measures. In this study, a total of 490 distribution points were obtained, and the potential distribution areas of the golden-sheathed were analyzed by using the maximum entropy model (MaxEnt) based on three different greenhouse gas emission scenarios, namely, SSP1-2.

Establishment of characteristic fingerprint of volatile components in Batocera horsfieldi (Coleoptera: Cerambycidae) host plants and correlation analysis with climatic factors.

Batocera horsfieldi is the primary stemboring pest of timber forests and economic forests in China, belonging to the Coleoptera Cerambycidae. In this study, gas chromatography-mass spectrometry was used to analyze the volatile components in the supplementary feeding hosts and oviposition hosts of B. horsfieldi, and characteristic fingerprints were constructed.

Mapping the Distribution of Fairmaire 1878 under Climate Change via Geographical Data and the MaxEnt Model (CMIP6).

is a major pest in chestnut-producing regions in China, and there have been many studies on its occurrence, biological characteristics, and management strategies. However, few of them have focused on the distribution changes of the pest under climate change. In this study, the MaxEnt model (version 3.

Predicting the Impact of Climate Change on the Future Distribution of Curtis, 1826, in China Based on the MaxEnt Model.

Curtis, 1826, belongs to the Coleoptera order, Staphylinidae family, and genus (Fabricius, 1775). It has a wide distribution and strong invasive and environmental adaptation capabilities. As a predatory natural enemy of agricultural and forestry pests, understanding its suitable habitat is crucial for the control of other pests.

Predicting the potential distribution range of Batocera horsfieldi under CMIP6 climate change using the MaxEnt model.

Batocera horsfieldi (Hope) (Coleoptera, Cerambycidae, Batocera) is an important wood-boring pest in China, mainly affecting natural forests, economic forests, urban gardens, and green landscapes. In this study, based on the MaxEnt model and ArcGIS, we combined 216 distribution records of B. horsfieldi with 11 selected key environmental variables to predict its potential suitable distribution under current climate data (1970-2000) and 3 climate emission scenarios from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6).

SMRT Sequencing Technology Was Used to Construct the (Hope) Transcriptome and Reveal Its Features.

(Hope) (Coleoptera: Cerambycidae) is an important forest pest in China that mainly infests timber and economic forests. This pest primarily causes plant tissue to necrotize, rot, and eventually die by feeding on the woody parts of tree trunks. To gain a deeper understanding of the genetic mechanism of , this study employed single-molecule real-time sequencing (SMRT) and Illumina RNA-seq technologies to conduct full-length transcriptome sequencing of the insect.

Predicting the Impact of Climate Change on the Geographical Distribution of Leafhopper, in China through the MaxEnt Model.

(Hemiptera: Cicadellidae) is an omnivorous leafhopper that feeds on plant sap. It significantly reduces the yield of agricultural and forestry crops while feeding or ovipositing on the host plant. In recent years, the rapid expansion of has posed a serious threat to agricultural and forestry crops.

Characterization of the complete mitochondrial genome of the longhorn beetle, (Coleoptera, Cerambycidae) and its phylogenetic analysis with suitable longhorn beetles.

Mitochondrial genome analysis is an important tool for studying insect phylogenetics. The longhorn beetle, , is a significant pest in timber, economic and protection forests. This study determined the mitochondrial genome of and compared it with the mitochondrial genomes of other Cerambycidae with the aim of exploring the phylogenetic status of the pest and the evolutionary relationships among some Cerambycidae subgroups.