Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model

Yanli Xia; Muhammad Kazim; Muhammad Nabeel Nasir; Yuxia Yang; Qiang Li; Ting Li; Shiliang Xu; Yihe Wang; Xuchen Fan; Jinpeng Zhao; Rulin Wang

doi:10.1371/journal.pone.0282659

Suitability changes of Citrus medica L. var. sarcodactylis Swingle, a medicine-food plants affected by climate warming using the optimized MaxEnt model

PLoS One. 2023 Mar 31;18(3):e0282659. doi: 10.1371/journal.pone.0282659. eCollection 2023.

Authors

Yanli Xia¹, Muhammad Kazim², Muhammad Nabeel Nasir³, Yuxia Yang⁴, Qiang Li⁵, Ting Li¹, Shiliang Xu¹, Yihe Wang¹, Xuchen Fan¹, Jinpeng Zhao⁶, Rulin Wang^{6

7}

Affiliations

¹ School of Food and Bioengineering, Chengdu University, Chengdu, 610106, PR China.
² Medical Officer THQ Hospital Kalur Kot, District BHAKKAR, Punjab, Pakistan.
³ Health Department Punjab, Punjab, Pakistan.
⁴ Sichuan Provincial Key Laboratory of Quality and Innovation Research of Chinese Materia Medica, Sichuan Academy of Traditional Chinese Medicine Sciences, Chengdu, 610041, PR China.
⁵ Zigong Meteorological Bureau, Zigong, 64300, PR China.
⁶ Sichuan Provincial Rural Economic Information Center, Chengdu, 610072, PR China.
⁷ Water-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Chengdu, 610066, PR China.

Abstract

Climatic variables are important conditions for plant growth, development and reproduction. Citrus medica L. var. sarcodactylis Swingle (Rutaceae: Citrus) is one of the traditional bulk Chinese medicinal materials in China with the effects of bacteriostasis, anti-inflammatory, anti-oxidation, anti-cancer cells, regulating the immun. Analyzing the impact of climate change on geographical distribution of C. medica L. var. sarcodactylis can provide strong support for its production layout and agricultural zoning. In our paper, MaxEnt and ArcGIS were applied to simulate the suitable areas of C. medica L. var. sarcodactylis in China from the perspectives of bioclimate, soil, topographic factors and human activities, and the future climate scenarios generated by global climate models (GCMs) were selected to predict its suitable areas in 2050s and 2090s. Results showed that, 1) Under current climate condition, areas of the total, most, moderately and poorly suitable habitats of C. medica L. var. sarcodactylis in China were 177.36×104 km2, 22.27×104 km2, 51.96×104 km2 and 103.13×104 km2 respectively. The range of the most suitable habitat was the narrowest, which was located in the middle east of Sichuan, western Chongqing in the upstream of the Yangtze River Basin, southern Guizhou and western Guangxi in the upstream of the Pearl River Basin, central and southern Yunnan and Southeast Tibet in the Middle-Lower reaches of the Southwest River Basin and western Taiwan. 2) Under the future climate change scenarios, the total suitable area showed a significant increase trend in 2090s, and the change of most, moderately and poorly suitable habitats showed no obvious law. 3) Under SSP1-2.6, SSP2-4.5 and SSP5-8.5 scenarios, the centroid of the most suitable habitat of C. medica L. var. sarcodactylis would move to the northwest, southeast and southwest respectively.

Copyright: © 2023 Xia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Agriculture
China
Citrus*
Climate Change
Ecosystem
Humans
Soil
Tibet

Substances

Soil

Associated data

figshare/10.6084/m9.figshare.20454939

Grants and funding

This work was funded by the Natural Science Foundation of Sichuan Province (2022NSFSC0589), the Sichuan Genuine Medicinal Materials and Traditional Chinese Medicine Innovation Team (SCCXTD-2022-19), the Sichuan Science and Technology Program (2020YJ0359; 2021YFYZ0012), the Key R & D projects of the Science and Technology Deportment of Sichuan Province (2022YFS0592) and the Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province (SCQXKJYJXZD202209). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.