ArticleScientific reports2024
Prediction of the potential distribution of a raspberry (Rubus idaeus) in China based on MaxEnt model.
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 13 papers.
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13 citing papers in PubMed.
- Projecting shifts in the distribution of Vachellia tortilis subsp. raddiana in Africa under climate change: a MaxEnt modeling and GIS analysis.Oecologia · 2026Article
- Increased Temperatures Promote Fruit Enlargement Through Cellular and Transcriptomic Changes in Raspberries (Plants (Basel, Switzerland) · 2026Article
- Predicting the impact of climate change on the suitable habitat of Populus qiongdaoensis in Hainan Island using MaxEnt modeling.Scientific reports · 2026Article
- Impacts of climate change on the geographical distribution of rare and endangered Cyatheaceae in China: a MaxEnt model-based prediction.Scientific reports · 2026Article
- Conservation-Oriented Analysis ofPlants (Basel, Switzerland) · 2026Article
- Global Warming Impacts Suitable Habitats of the Subtropical Endemic TreePlants (Basel, Switzerland) · 2025Article
- Impacts of Climate Change on the Spatial Distribution and Habitat Suitability ofPlants (Basel, Switzerland) · 2025Article
- Analysis of Differences in Metabolite and Antioxidant Activity in Highland Red Raspberry Pulp Based on Widely Targeted Metabolomics.Molecules (Basel, Switzerland) · 2025Article
- Prediction of Potential Distribution and Response ofPlants (Basel, Switzerland) · 2025Article
- Prediction of potential habitat ofFrontiers in plant science · 2025Article
- Predicting potential suitable habitat ofFrontiers in plant science · 2025Article
- Article
- Predicted Spatial Patterns of Suitable Habitats forInsects · 2024Article
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8 authors.
Funding
Abstract
Rubus idaeus is a pivotal cultivated species of raspberry known for its attractive color, distinct flavor, and numerous health benefits. It can be used in pharmaceutical, cosmetics, agriculture and food industries not only as fresh but also as a processed product. Nowadays due to climatic changes, genetic diversity of cultivars has decreased dramatically. However, until now, the status of wild R. idaeus resources in China have not been exploited. In this study, we investigated the resources of wild R. idaeus in China to secure its future potential and sustainability. The MaxEnt model was used to predict R. idaeus suitable habitats and spatial distribution patterns for current and future climate scenarios, based on wild domestic geographic distribution data, current and future climate variables, and topographic variables. The results showed that, mean temperature of the coldest quarter (bio11), precipitation of the coldest quarter (bio19), precipitation of the warmest quarter (bio18), and temperature seasonality (bio4) were crucial factors affecting the distribution of R. idaeus. Presently, the suitable habitats were mainly distributed in the north of China including Xinjiang, Inner Mongolia, Gansu, Ningxia, Shaanxi, Shanxi, Hebei, Beijing, Liaoning, Jilin, Heilongjiang. According to our results, in 2050s, the total suitable habitat area of R. idaeus will increase under SSP1-2.6 and then will be decreased with climate change, while in the 2090s, the total suitable habitat area will continue to decrease. From the present to the 2090s, the centroid distribution of R. idaeus in China will shift towards the east and the species will always be present in Inner Mongolia. Our results provide wild resource information and theoretical reference for the protection and rational utilization of R. idaeus.
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