ArticleScientific reports2017
Prediction of the potential geographic distribution of the ectomycorrhizal mushroom Tricholoma matsutake under multiple climate change scenarios.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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40 citing papers in PubMed, 116 citations in OpenAlex.
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- Functionally distinct core microbes of Tricholoma matsutake revealed by cross-study analysis.Microbiome · 2026Article
- Climate change is leading to geographic expansion of tropical birds-range expansion and niche modeling in the White-browed Crake (Pololimnas cinereus).BMC ecology and evolution · 2025Article
- Predicted Effects of Climate Change on Future Distributions of Ectomycorrhizal Fungi.Ecology and evolution · 2025Article
- A Model of the Current Geographic Distribution and Predictions of Future Range Shifts ofJournal of fungi (Basel, Switzerland) · 2025Article
- Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India.Scientific reports · 2025Article
- Changes in the Distribution ofEcology and evolution · 2025Article
- Predicting potentially suitable Bletilla striata habitats in China under future climate change scenarios using the optimized MaxEnt model.Scientific reports · 2025Article
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- Metals Transfer in MushroomJournal of fungi (Basel, Switzerland) · 2024Article
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- Comparative Assessment of Habitat Suitability and Niche Overlap of ThreeJournal of fungi (Basel, Switzerland) · 2024Article
- The ecological suitability area ofEcology and evolution · 2024Article
- Potential geographical distribution ofFrontiers in microbiology · 2024Article
- Predictive Modeling Analysis for the Quality Indicators of Matsutake Mushrooms in Different Transport Environments.Foods (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Effective conservation and utilization strategies for natural biological resources require a clear understanding of the geographic distribution of the target species. Tricholoma matsutake is an ectomycorrhizal (ECM) mushroom with high ecological and economic value. In this study, the potential geographic distribution of T. matsutake under current conditions in China was simulated using MaxEnt software based on species presence data and 24 environmental variables. The future distributions of T. matsutake in the 2050s and 2070s were also projected under the RCP 8.5, RCP 6, RCP 4.5 and RCP 2.6 climate change emission scenarios described in the Special Report on Emissions Scenarios (SRES) by the Intergovernmental Panel on Climate Change (IPCC). The areas of marginally suitable, suitable and highly suitable habitats for T. matsutake in China were approximately 0.22 × 10
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