Climate Suitability Zoning of Morinda officinalis F. C. How and Sarcandra glabra ( Thunb. % Nakai Planting in Xinfeng County Based on GIS.
Published In: Meteorological & Environmental Research, 2025, v. 16, n. 1. P. 24 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Jundao PAN; Xizi PEI; Wenjian PAN; Xiaoyun CHEN; Jie GAO 3 of 3
Abstract
Based on the meteorological data of 24 automatic stations in Xinfeng County, combined with the climatic conditions for the growth of Morinda officinalis F. C. How and Sarcandra glabra (Thunb.) Nakai, the climate suitability zoning indicators of M. ofificinalii and S. glabra in Xinfeng County were constricted by relevant statistical methods, and the climate suitability zoning indicators were divided into four grades M most suitable, suitable, sub-suitable and unsuitable. According to the results of expert scores, the relevant growth impact factors were assigned weight values. Based on geographic information system (GIS%, the climate suitability zoning of M. officinalis and S. glabba planting in Xinfeng County was carried out. The results show that most areas of Xinfeng County were suitable for planting M. officinalis and S. glabra. Among them, the most suitable planting areas of M. offinanalis were mainly distributed in most of Huilong Town, from Jiangnan Community of Fengcheng Street to Yuntianhai area of Meikeng Town, Matouwantian Village and areas to the south, and areas to the south of Zhutong Viilage, Fengcheng Street. The most suitable areas for S. glabra planting were mainly distributed in Puchang Viilage of Huilong Town, the northeast of Huangzhai Town, the south of Fengcheng Street, and the central-southern part of Matou Town. The zoning results provide a scientific basis for the rational layout of M. offinCnalls and S. glabra planting in Xinfeng County. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Meteorological & Environmental Research. 2025/02, Vol. 16, Issue 1, p24
- Document Type:Article
- Subject Area:Earth and Atmospheric Sciences
- Publication Date:2025
- ISSN:2152-3940
- DOI:10.19547/j.issn2152-3940.2025.01.006
- Accession Number:184818612
- Copyright Statement:Copyright of Meteorological & Environmental Research is the property of WuChu (USA - China) Science & Culture Media Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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