{"id":6885,"date":"2026-05-17T22:53:05","date_gmt":"2026-05-17T14:53:05","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=6885"},"modified":"2026-05-20T00:10:15","modified_gmt":"2026-05-19T16:10:15","slug":"jase-202609-32-045","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202609-32-045","title":{"rendered":"Impact of Climate Change on Angelica Sinensis Yield in the Cool and Semi-Humid Regions in Northwest China"},"content":{"rendered":"\n
\n
\n

<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

\n

<\/i> Volume 32<\/a><\/p>\n<\/div>\n\n\n\n

\n
\n
\n
\n

Li Qiang1,2<\/sup>, Zhang Ting3<\/sup><\/i><\/a>, Lei Jun4<\/sup>, Yang QingYi1<\/sup>, and Xia Quan1<\/sup><\/p>\n\n\n\n

1<\/sup>Meteorology School, Lanzhou Resources & Environment Voc-Tech University, Lanzhou, 730021, China<\/p>\n\n\n\n

2<\/sup>Key Laboratory of Arid Climate Resource and Environment of Gansu Province (ACRE), Lanzhou, 730000, China<\/p>\n\n\n\n

3<\/sup>Gansu Fengyun Meteorological Equipment Co., Ltd., Gansu, 730030, China<\/p>\n\n\n\n

4<\/sup>Dingxi Meteorological Bureau, Dingxi 743000, China<\/p>\n<\/div>\n\n\n\n

\n

Received: February 24, 2026
Accepted: April 26, 2026
Publication Date: May 17, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Variation trends of temperature and Mann-Kendall statistics during the growing period of Angelica sinensis. <\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202609_32.045<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

<\/div>\n\n\n\n

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\u00b0C decade-1<\/sup> with a mutation in 2013 and a prominent decreasing trend of-2.89\u00b0C decade-1 since 2016. Precipitation increases by 41.6 mm decade-1<\/sup>, 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\/m\u00b2 decade-1<\/sup>. This study valuable insights into optimizing the irrigation schedule and selecting suitable cultivation sites for Angelica sinensis, particularly under changing climatic conditions.<\/p>\n\n\n\n

Keywords: Climate change; Angelica sinensis; Temperature; Precipitation; Yield<\/em><\/p>\n\n\n\n

<\/div>\n\n\n\n
\n
    \n
  1. [1] X. Xu, T. Zhu, T. Shi, J. Chen, and L. Jin, (2020) \u201cQuality suitability regionalization analysis of Angelica sinensis in Gansu, China\u201d PLoS One 15(12): e0243750. DOI: 10.1371\/journal.pone.0243750.<\/li>\n
  2. [2] P. Yu, X. Yan, S. Wang, Y. Zhang, F. Xiong, R. Bai, J. Hong, J. Yang, and L. Guo, (2025) \u201cUnveiling the origin and quality traits of Angelica sinensis: Hyperspectral imaging combined with chemometrics and information fusion strategies\u201d Journal of Food Composition and Analysis: 108089. DOI: 10.1016\/j.jfca.2025.108089.<\/li>\n
  3. [3] X. Han, M. Li, Q. Yuan, S. Lee, C. Li, Y. Ren, M. Garth, and L. Wang, (2023) \u201cAdvances in molecular biological research of Angelica sinensis\u201d Medicinal Plant Biology 2(1): DOI: 10.48130\/MPB-2023-0016.<\/li>\n
  4. [4] L. Yang, J. Li, Y. Xiao, and G. Zhou, (2022) \u201cEarly bolting, yield, and quality of angelica sinensis (oliv.) diels responses to intercropping patterns\u201d Plants 11(21): 2950. DOI: 10.3390\/plants11212950.<\/li>\n
  5. [5] Y. Hua, W. Yao, P. Ji, and Y. Wei, (2017) \u201cIntegrated metabonomic\u2013proteomic studies on blood enrichment effects of Angelica sinensis on a blood deficiency mice model\u201d Pharmaceutical Biology 55(1): 853\u2013863. DOI: 10.1080\/13880209.2017.1281969.<\/li>\n
  6. [6] Y. Niu, V. Abdullayev, A. V. Alyar, and A. T. Kamran, (2023) \u201cGreen technologies and their role in mitigating climate change: a comparative study across developing nations\u201d estidamaa 2023: 27\u201335. DOI: 10.70470\/ESTIDAMAA\/2023\/004.<\/li>\n
  7. [7] T. P. Dawson, S. T. Jackson, J. I. House, I. C. Prentice, and G. M. Mace, (2011) \u201cBeyond predictions: biodiversity conservation in a changing climate\u201d science 332(6025): 53\u201358. DOI: 10.1126\/science.1200303.<\/li>\n
  8. [8] X. Liu, M. Luo, M. Li, and J. Wei, (2022) \u201cDepicting precise temperature and duration of vernalization and inhibiting early bolting and flowering of Angelica sinensis by freezing storage\u201d Frontiers in Plant Science 13: 85344. DOI: 10.3390\/fpls.2022.85344.<\/li>\n
  9. [9] H. Y. Zhang, W. G. Bi, Y. Yu, and W. B. Liao, (2012) \u201cAngelica sinensis (Oliv.) Diels in China: Distribution, cultivation, utilization and variation\u201d Genetic Resources and Crop Evolution 59(4): 607\u2013613. DOI: 10.1007\/s10722-012-9795-9.<\/li>\n
  10. [10] Z. Tan, Y. Yuan, S. Huang, Y. Ma, Z. Hong, Y. Wang, X. Wu, Z. Li, J. Ye, and L. Zhang, (2023) \u201cGeographical distribution and predict potential distribution of Angelica L. genus\u201d Environmental Science and Pollution Research 30(16): 46562\u201346573. DOI: 10.1007\/s11356-023-25490-y. <\/span><\/li>\n
  11. [11] F.-G. Zhang, F. Liang, K. Wu, L. Xie, G. Zhao, and Y. Wang, (2024) \u201cThe potential habitat of Angelica dahurica in China under climate change scenario predicted by Maxent model\u201d Frontiers in plant science 15: 1388099. DOI: 10.3389\/fpls.2024.1388099. <\/span><\/li>\n
  12. [12] Z. Yan, H. Jin, X. Yang, D. Min, X. Xu, C. Hua, and B. Qin, (2025) \u201cEffect of rhizosphere soil microbial communities and environmental factors on growth and the active ingredients of Angelica sinensis in Gansu Province, China\u201d Folia Microbiologica 70(3): 673\u2013687. DOI: 10.1007\/s12223-024-01210-y. <\/span><\/li>\n
  13. [13] X. Gong, B. Chen, L. Yang, Y. Zhang, S. Chang, T. Yang, Y. Chen, Y. Zhu, Z. Wang, X. He, et al., (2026) \u201cLocation and growth period influence the bioactive compounds of Angelica sinensis (Oliv.) diels: multi-omics insights\u201d BMC Plant Biology: DOI: 10.1186\/s12870-026-08135-3. <\/span><\/li>\n
  14. [14] H. Dong, M. Li, L. Jin, X. Xie, M. Li, and J. Wei, (2022) \u201cCool temperature enhances growth, ferulic acid and flavonoid biosynthesis while inhibiting polysaccharide biosynthesis in Angelica sinensis\u201d Molecules 27(1): 320. DOI: 10.3390\/molecules27010320. <\/span><\/li>\n
  15. [15] Y.-W. Mi, C.-W. Gong, W.-P. Shao, and Y.-X. Peng, (2022) \u201cEffects of plastic film mulching on soil moisture, soil temperature and root growth of Angelica sinensis in cold and humid areas.\u201d DOI: 10.1168\/cyxb2022052. <\/span><\/li>\n
  16. [16] X. Zhang, D. Lang, E. Zhang, C. Bai, and H. Wang, (2013) \u201cDiurnal changes in photosynthesis and antioxidants of Angelica sinensis as influenced by cropping systems\u201d Photosynthetica 51(2): 252\u2013258. DOI: 10.1007\/s11099-013-0013-6. <\/span><\/li>\n
  17. [17] Q.-J. Zhang, D.-L. Wu, Y.-C. Zhu, C. Liu, and D.-S. Yang, (2025) \u201cA long-term dataset of maize phenology observations from agrometeorological stations in Northeast China (1891\u20132024)\u201d Scientific Data: DOI: 10.1038\/s41597-025-06330-9. <\/span><\/li>\n
  18. [18] P. Zhao and Z. He, (2022) \u201cTemperature change characteristics in Gansu Province of China\u201d Atmosphere 13(5): 728. DOI: 10.3390\/atmos13050728. <\/span><\/li>\n
  19. [19] M. Waqas, U. W. Humphries, and P. T. Hlaing, (2024) \u201cTime series trend analysis and forecasting of climate variability using deep learning in Thailand\u201d Results in Engineering 24: 102997. DOI: 10.1016\/j.rineng.2024.102997. <\/span><\/li>\n
  20. [20] G. I. Cotlier and J. C. Jimenez, (2025) \u201cSeasonal Regime Shifts and Warming Trends in the Universal Thermal Climate Index over the Italian and Iberian Peninsulas (1940\u20132024)\u201d Climate 13(9): 184. DOI: 10.3390\/cli13090184. <\/span><\/li>\n
  21. [21] G. T. Mekonnen, A. B. Berlie, S. A. Legesse, and M. A. Wubie, (2023) \u201cThe implication of climate change in causing urban heat island in Gondar City, Ethiopia: an analysis made using Mann\u2013Kendall\u2019s trend test and homogeneity test\u201d Arabian Journal of Geosciences 16(12): 638. DOI: 10.1007\/s12517-023-11739-w. <\/span><\/li>\n
  22. [22] M. \u015ean, (2025) \u201cCombined innovative trend analysis methods for seasonal trend testing\u201d Journal of Hydrology 649: 132418. DOI: 10.1016\/j.jhydrol.2024.132418. <\/span><\/li>\n
  23. [23] S. He and C. Hao, (2024) \u201cAnalysis on spatial-temporal variation characteristics of climate in Qinling-Huaihe demarcation zone since 1961\u201d Ecological Indicators 158: 111345. DOI: 10.1016\/j.ecolind.2023.111345.<\/span><\/li>\n<\/ol>\n<\/div>\n\n\n\n

    <\/p>\n","protected":false},"author":3,"template":"wp-custom-template-detail-4-aricles","meta":{"_uag_custom_page_level_css":""},"categories":[12,720,6],"tags":[1454],"acf":[],"uagb_featured_image_src":[],"uagb_author_info":{"display_name":"\u6797\u923a\u6db5","author_link":"\/jase\/?author=3"},"uagb_comment_info":0,"uagb_excerpt":" 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:\u00a0 BibTeX | http:\/\/dx.doi.org\/10.6180\/jase.202609_32.045\u00a0\u00a0 Download PDF The increasing challenges posed by climate change have significant implications for…","_links":{"self":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope\/6885"}],"collection":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope"}],"about":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/types\/tkuisotope"}],"author":[{"embeddable":true,"href":"\/jase\/index.php?rest_route=\/wp\/v2\/users\/3"}],"wp:attachment":[{"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6885"},{"taxonomy":"post_tag","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}