ArticleScientific reports2024
Modeling the potential distribution of the energy tree species Triadica sebifera in response to climate change in China.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Article
- Climatic suitability and distribution prediction ofFrontiers in plant science · 2026Article
- Projected Expansion and Northwestern Shift ofEcology and evolution · 2025Article
- Climate Change Enhances the Cultivation Potential ofBiology · 2025Article
- Impact of climate change on the distribution of Ligustrum leucanthum using MaxEnt modeling.Scientific reports · 2025Article
- Potential Distribution and Cultivation Areas ofBiology · 2025Article
- Analysis of Spatial Suitable Habitats of Four Subspecies ofPlants (Basel, Switzerland) · 2025Article
- Latitude and Community Diversity Primarily Explain Invasion Patterns of Widespread Invasive Plants in Small, Subtropical Lakes.Ecology and evolution · 2025Article
- Changes in potential distribution and cultivation areas ofFrontiers in plant science · 2025Article
- "Two zones and three centers" distribution and suitable areas shift of an evergreen oak in subtropical China under climate scenarios.Ecology and evolution · 2024Article
- Predicting the distribution of potentially suitable habitat in China forEcology and evolution · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
As an important woody oilseed species in China, Triadica sebifera is not only concerned with the substitution of traditional energy sources, but also plays a considerable role in coping with energy shortages. Accurately predicting the potential geographic distribution of Triadica sebifera in China and understanding its ecological needs are crucial for alleviating the energy crisis and effectively implementing energy substitution strategies. In this study, the potential geographic distribution of Triadica sebifera in China at contemporary and future periods was predicted based on the distribution data of Triadica sebifera in China and the environmental factor variables by Maxent model and ArcGIS software. The combination of important factors governing the potential geographic distribution of Triadica sebifera was assessed by the contribution of environmental factor variables. The accuracy of Maxent model's predictions was assessed by AUC values, TSS values and Kappa statistics. The results show that: High AUC and TSS values indicate high accuracy and performance of the model. The crucial environmental factors limiting the potential geographic distribution of Triadica sebifera are the temperature factor (mean air temperature of the driest quarter), precipitation factor (precipitation of the coldest quarter, precipitation of the wettest month), and the intensity of human activities (hf). The total suitable area for Triadica sebifera is 233.64 × 10
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Registered trials
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