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Prediction of the potential distribution of a raspberry (Rubus idaeus) in China based on MaxEnt model  ( SCI-EXPANDED收录)   被引量:6

文献类型:期刊文献

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

作者:Gao, Xiangqian[1] Lin, Furong[1] Li, Meng[1] Mei, Yujie[2] Li, Yongxiang[1] Bai, Yanlin[3] He, Xiaolong[3] Zheng, Yongqi[1]

第一作者:Gao, Xiangqian

通信作者:Zheng, YQ[1]

机构:[1]Chinese Acad Forestry, Key Lab Forest Silviculture & Tree Cultivat, State Key Lab Tree Genet & Breeding, Natl Forestry & Grassland Adm,Res Inst Forestry, Beijing 100091, Peoples R China;[2]Hebei Normal Univ Sci & Technol, Coll Hort Sci & Technol, Qinhuangdao 066600, Hebei, Peoples R China;[3]Shanxi State Owned Forest Farm & Seedling Stn, Taiyuan 030000, Shanxi, Peoples R China

年份:2024

卷号:14

期号:1

外文期刊名:SCIENTIFIC REPORTS

收录:;Scopus(收录号:2-s2.0-85206849265);WOS:【SCI-EXPANDED(收录号:WOS:001339153400049)】;

基金:This study was supported by the National Key Research and Development Program of China (No. 2022YFD2200100) and STI 2030-Major Projects (2022ZD040190602). we also thank plant material supports from National Center for Forestry and Grassland Genetic resources (Beijing, China)

语种:英文

外文关键词:Rubus idaeus; Global climate change; MaxEnt; Suitable habitat; Spatial distribution pattern

摘要: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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