ArticleBMC ecology and evolution2024
Predicting the global potential distribution of Bursaphelenchus xylophilus using an ecological niche model: expansion trend and the main driving factors.
Article in BMC ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Climate-Driven Changes in Potential Suitable Habitat ofBiology · 2026Article
- Forest tree-pathogen interactions under climate change.Essays in biochemistry · 2026Review
- Potential Geographic Distribution of the Rare and Endangered PlantEcology and evolution · 2026Article
- Cloning and functional analysis of glutathione S-transferase geneFrontiers in plant science · 2026Article
- Climate Change and Habitat Fragmentation: Implications for the Future Distribution and Assisted Migration ofPlants (Basel, Switzerland) · 2025Review
- The Threshold and Lag Effects of Temperature on Pine Wilt Disease Show Significant Spatial Heterogeneity.Insects · 2025Article
- Combining Niche Breadth to Predict the Current and Future Distribution of Leguminosae Under Climate Change on the Qinghai-Xizang Plateau.Ecology and evolution · 2025Article
- Molecular Mechanisms of the Biological Control of Pine Wilt Disease Using Microorganisms.Microorganisms · 2025Review
- Identifying Drivers Affecting the Spatial Distribution of Suitable Habitat for the Pine Wood Nematode (Ecology and evolution · 2025Article
- Projecting the global potential distribution of nine Rhododendron Subgenus Hymenanthes species under different climate change scenarios.Scientific reports · 2025Article
- Genetic Structure ofEcology and evolution · 2024Article
- Whole-Genome Sequences of 13 Chinese Indigenous Pinewood Nematodes,International journal of molecular sciences · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Bursaphelenchus xylophilus (Steiner&Buhrer) Nickle is a global quarantine pest that causes devastating mortality in pine species. The rapid and uncontrollable parasitic spread of this organism results in substantial economic losses to pine forests annually. In this study, we used the MaxEnt model and GIS software ArcGIS10.8 to predict the distribution of B. xylophilus based on collected distribution points and 19 environmental variables (with a correlation coefficient of|R| > 0.8) for the contemporary period (1970-2000), 2041-2060 (2050s), 2061-2080 (2070s), and 2081-2100 (2090s) under four shared socioeconomic pathways (SSPs). We conducted a comprehensive analysis of the key environmental factors affecting the geographical distribution of B. xylophilus and suitable distribution areas. Our results indicate that in current prediction maps B. xylophilus had potential suitable habitats in all continents except Antarctica, with East Asia being the region with the most highly suitable areas and the most serious epidemic area currently. Precipitation of the warmest quarter, temperature seasonality, precipitation of the wettest month, and maximum temperature of the warmest month were identified as key environmental variables that determine the distribution of B. xylophilus. Under future climatic conditions, the potential geographic distribution of B. xylophilus will expand relative to current conditions. In particular, under the SSP5-8.5 scenario in 2081-2100, suitable areas will expand to higher latitudes, and there will be significant changes in suitable areas in Europe, East Asia, and North America. These findings are crucial for future prevention and control management and monitoring.
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