In recent years, buckwheat (Fagopyrum spp.) is being increasingly damaged by the Siberian tortoise beetle (Rhinoncus sibiricus Faust). Adults and nymphs feed on leaf tissues and caulicles, thus damaging its stems and leaves. In this study, we investigated the habits, distribution, and environmental impact of R. sibiricus using MaxEnt, an ecological niche model. Geographic information about the infestation site from previous field surveys and climatic data from 2013 to 2018 were organized and optimized using R. The impact factors were calculated using MaxEnt software. The results indicate that population fluctuations in R. sibiricus are related to changes in temperature, humidity, and their spatial distribution. Under current climatic conditions, R. sibiricus is mainly distributed in northern China, with sporadic distribution in south-western China. The values for a survival probability threshold > 0.3 were: precipitation during the wettest month (bio13), 70.31-137.56 mm; mean temperature of the coldest quarter (bio11), -15.00-0.85°C; mean temperature of the warmest quarter (bio10), 11.88-23.16°C; precipitation during the coldest quarter (biol9), 0-24.39 mm. The main factors contributing > 70% to the models were precipitation during the wettest month and coldest quarter, and mean temperature during the warmest and coldest quarters. Under both future climate models, the center of the fitness zone moves northward. Our results will be useful in guiding administrative decisions and support farmers interested in establishing control and management strategies for R. sibiricus. This study could also serve as a reference for future research on other invasive pests.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10798473PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297126PLOS

Publication Analysis

Top Keywords

coldest quarter
12
rhinoncus sibiricus
8
precipitation wettest
8
wettest month
8
temperature warmest
8
sibiricus
6
predicting potential
4
distribution
4
potential distribution
4
distribution rhinoncus
4

Similar Publications

Species distribution modeling is extensively used for predicting potential distributions of invasive species. However, an ensemble modeling approach has been less frequently used particularly pest species. The bird cherry-oat aphid Rhopalosiphum padi L.

View Article and Find Full Text PDF

Predicting Tuberculosis Risk in Cattle, Buffaloes, Sheep, and Goats in China Based on Air Pollutants and Meteorological Factors.

Animals (Basel)

December 2024

Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.

Tuberculosis is a zoonotic chronic respiratory infectious disease caused by the complex. The outbreak and epidemic of tuberculosis can seriously threaten human and veterinary health. To investigate the effects of environmental factors on tuberculosis in domestic ruminants, we collected data regarding the prevalence of tuberculosis in cattle, buffaloes, sheep, and goats in China (1956-2024) from publicly published literature and available databases.

View Article and Find Full Text PDF

Tetragonula iridipennis Smith, commonly known as the stingless bee or 'dammer bee', is a key native species that pollinates a wide variety of horticultural crops, including onions, in India. Climate change significantly affects species distribution and habitat suitability. This study utilized Maximum Entropy Modeling (MaxEnt) to predict the current and future distribution of T.

View Article and Find Full Text PDF

[Changes of climate niche of during its invasion in China].

Ying Yong Sheng Tai Xue Bao

October 2024

Research Center for UAV Remote Sensing, College of Life Sciences, Shaanxi Normal University, Xi'an 710119, China.

Niche conservatism is essential for predicting the risk of alien species invasions. Currently, the changes of climate niche of during its invasion in China are still not clear. Using principal component analysis, we examined the climate niche shifts of during its invasion and analyzed its potential distribution in China.

View Article and Find Full Text PDF

Background: is used in traditional Chinese medicine, so ensuring an adequate supply of plant material with high levels of bioactive components is important.

Methods: Using an optimized maximum entropy niche model and assays of bioactive components from cultivation samples, this study started from the plant's natural distribution area and estimated correlations of ecological factors with not only abundance of the plant but also abundance of polysaccharides and heterophyllin B. These correlations were combined with the spatial analysis function in ArcGIS to generate maps of the suitability of different habitats in China for cultivating under current climate conditions and different models of climate change.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!