Prediction of the potential distribution of a raspberry (Rubus idaeus) in China based on MaxEnt model

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, g...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Scientific reports Ročník 14; číslo 1; s. 24438 - 11
Hlavní autori: Gao, Xiangqian, Lin, Furong, Li, Meng, Mei, Yujie, Li, Yongxiang, Bai, Yanlin, He, Xiaolong, Zheng, Yongqi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 18.10.2024
Nature Publishing Group
Nature Portfolio
Predmet:
631/158/1145
631/553/2695
704/172/4081
China
Climate
Climate Change
Climate prediction
Cosmetics
Cultivars
Distribution patterns
Ecosystem
Flavors
Food industry
Food processing
Genetic diversity
Geographical distribution
Global climate change
Habitats
Humanities and Social Sciences
Information processing
MaxEnt
multidisciplinary
Precipitation
Rubus
Rubus idaeus
Science
Science (multidisciplinary)
Seasonal distribution
Seasonal variations
Seasons
Spatial distribution
Spatial distribution pattern
Suitable habitat
China
Mongolia
Spatial distribution pattern
Global climate change
MaxEnt
Suitable habitat
Rubus idaeus
ISSN:2045-2322, 2045-2322
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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 .
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-75559-y