{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen Y"],"funding":["National Natural Science Foundation of China"],"pagination":["30904"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11680689"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["Senna obtusifolia (L.) Irwin & Barneby and Senna tora (L.) Roxb represent important medicinal resources in traditional Chinese medicine for more than two millennia. Sustainable resource utilization and preservation strategies for Senna species necessitate a thorough understanding of the climatic factors governing their distribution patterns. Therefore, this study aimed to identify the key climate variables shaping the current and potential future global distribution of both Senna species. To achieve this, the MaxEnt ecological niche model was employed, integrating species occurrence data with relevant environmental variables. The results indicated that Bio13 and Bio14 were the most critical variables affecting distribution of S. tora, while Bio6 and Bio14 were crucial for S. obtusifolia. T"],"journal":["Scientific reports"],"pubmed_title":["Prediction of change in suitable habitats of Senna obtusifolia and Senna tora under climate change."],"pmcid":["PMC11680689"],"funding_grant_id":["32270410"],"pubmed_authors":["Li W","Ji H","Liao H","Huang X","Chen Y","Luo C","Yan H","Zhou J"],"additional_accession":[]},"is_claimable":false,"name":"Prediction of change in suitable habitats of Senna obtusifolia and Senna tora under climate change.","description":"Senna obtusifolia (L.) Irwin & Barneby and Senna tora (L.) Roxb represent important medicinal resources in traditional Chinese medicine for more than two millennia. Sustainable resource utilization and preservation strategies for Senna species necessitate a thorough understanding of the climatic factors governing their distribution patterns. Therefore, this study aimed to identify the key climate variables shaping the current and potential future global distribution of both Senna species. To achieve this, the MaxEnt ecological niche model was employed, integrating species occurrence data with relevant environmental variables. The results indicated that Bio13 and Bio14 were the most critical variables affecting distribution of S. tora, while Bio6 and Bio14 were crucial for S. obtusifolia. T","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2025-04-04T02:36:04.803Z","creation":"2025-04-04T02:36:04.803Z"},"accession":"S-EPMC11680689","cross_references":{"pubmed":["39730691"],"doi":["10.1038/s41598-024-81883-0"]}}