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[Selectivity rank regionalization of Paeonia lactiflora based on fuzzy method]
Jinrong Lv1, Lanping Guo, Luqi Huang
1Institute of Chinese Materia Medica, China Academy of Chinese Medicinal Sciences, Beijing 100700, China.
Summary
This study identifies optimal regions for Paeonia lactiflora cultivation using ecological factors and a geography information system (GIS). Key findings highlight suitable habitats in major mountain ranges and specific cities for adaptive cultivation.
Area of Science:
- Ecology
- Biogeography
- Agricultural Science
Context:
- Adaptive cultivation of Paeonia lactiflora requires precise habitat identification.
- Ecological factors in the Duolun region were used as a model for analysis.
- Understanding plant distribution is crucial for optimizing agricultural practices.
Purpose:
- To divide adaptive habitats for Paeonia lactiflora.
- To identify optimal regions for Paeonia lactiflora cultivation.
- To analyze the influence of ecological factors on plant distribution.
Summary:
- Ecological factors from 91 cities were analyzed using fuzzy methods and a geography information system (GIS).
- Paeonia lactiflora distribution was mapped across six suitability grades within three geographical units, primarily in the Daxing'an Mountain, Changbaishan, and Qinling ranges.
- Huade, Xilinhaote, Suolun, and Zhangbei were identified as the most similar areas to Duolun for cultivation.
Impact:
- Provides a scientific basis for selecting adaptive cultivation regions for Paeonia lactiflora.
- Utilizes GIS and fuzzy methods for ecological factor analysis, offering a transferable methodology.
- Contributes to the understanding of Paeonia lactiflora's geographical distribution and its relationship with climatic and geographic factors.