MAUP Effect on Spatial Pattern of Pseudostellaria heterophylla Production Regions in China
10.13422/j.cnki.syfjx.20251116
- VernacularTitle:中国太子参产区空间格局的MAUP效应多尺度分析
- Author:
Leting ZHANG
1
;
Tao ZHOU
2
;
Chengdong XU
3
;
Zhixian JING
1
;
Chenghong XIAO
2
;
Hui WANG
1
;
Tingting SHI
1
;
Jiawei HUANG
1
;
Xiaobo ZHANG
1
Author Information
1. State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs，National Resource Center for Chinese Materia Medical，China Academy of Chinese Medical Sciences，Beijing 100700，China
2. Guizhou University of Traditional Chinese Medicine，Guiyang 550025，China
3. Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Science， Beijing 100101，China
- Publication Type:Journal Article
- Keywords:
Pseudostellaria heterophylla production region;
spatial patterns;
modifiable areal unit problem
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2025;31(22):183-191
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.
