Li Qiang1,2, Zhang Ting3, Lei Jun4, Yang QingYi1, and Xia Quan1
1Meteorology School, Lanzhou Resources & Environment Voc-Tech University, Lanzhou, 730021, China
2Key Laboratory of Arid Climate Resource and Environment of Gansu Province (ACRE), Lanzhou, 730000, China
3Gansu Fengyun Meteorological Equipment Co., Ltd., Gansu, 730030, China
4Dingxi Meteorological Bureau, Dingxi 743000, China
Received: February 24, 2026
Accepted: April 26, 2026
Publication Date: May 17, 2026
Variation trends of temperature and Mann-Kendall statistics during the growing period of Angelica sinensis.
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Download Citation: BibTeX | http://dx.doi.org/10.6180/jase.202609_32.045
The increasing challenges posed by climate change have significant implications for agricultural productivity, particularly for crops like Angelica sinensis, a valuable medicinal plant. Understanding how climatic variables such as temperature and precipitation affect the yield of Angelica sinensis is critical for developing adaptive strategies to sustain its cultivation. research to determine impacts climatic variables on yields of Angelica sinensis in Northwestern Cool Semi-Humid Region of China seventeen years of agricultural meteorological data from 2005 to 2021. Linear trend estimation, Mann-Kendall mutation test, correlation analysis, and path analysis methods have been utilized to examine the relationships among temperature, precipitation, and yields of Angelica sinensis during the different growth stages from transplanting to harvest. The temperature during the growth period presents a fluctuating increasing trend of 0.37°C decade-1 with a mutation in 2013 and a prominent decreasing trend of-2.89°C decade-1 since 2016. Precipitation increases by 41.6 mm decade-1, and a mutation from low to high precipitation occurred in 2018. Yield has a strongly significant positive correlation with precipitation (correlation coefficient = 0.581). Path analysis results show that the precipitation during
Three-leaves-to-six-leaves growth stage has the strongest direct influence on the yields of Angelica sinensis (path coefficient = 0.550), while the precipitation during Seven-leaves-to-harvest stage has a considerable direct influence (path coefficient = 0.521) despite the negligible simple correlation. Annual yields of Angelica sinensis significantly increase by 44.9 g/m² decade-1. This study valuable insights into optimizing the irrigation schedule and selecting suitable cultivation sites for Angelica sinensis, particularly under changing climatic conditions.
Keywords: Climate change; Angelica sinensis; Temperature; Precipitation; Yield
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