Analysis of the Distribution Pattern of Asparagus in China Under Climate Change Based on a Parameter-Optimized MaxEnt Model

被引:0
|
作者
Yang, Qiliang [1 ,2 ,3 ,4 ]
Ji, Chunwei [1 ,2 ,3 ,4 ]
Li, Na [1 ,2 ,3 ,4 ]
Lin, Haixia [5 ]
Li, Mengchun [1 ,2 ,3 ,4 ]
Li, Haojie [1 ,2 ,3 ,4 ]
Heng, Saiji [1 ,2 ,3 ,4 ]
Liang, Jiaping [1 ,2 ,3 ,4 ]
机构
[1] Kunming Univ Sci & Technol, Fac Modern Agr Engn, Kunming 650500, Peoples R China
[2] Int Joint Lab Intelligent Agr Engn Technol & Equip, Kunming 650500, Peoples R China
[3] Kunming Univ Sci & Technol, Yunnan Prov Field Sci Observat & Res Stn Water Soi, Kunming 650500, Peoples R China
[4] Key Lab Efficient Utilisat Agr Water Resources & I, Kunming 650500, Peoples R China
[5] Shihezi Univ, Coll Water Conservancy & Architectural Engn, Shihezi 832003, Peoples R China
来源
AGRICULTURE-BASEL | 2025年 / 15卷 / 03期
基金
中国国家自然科学基金;
关键词
asparagus; climate change; human activities; model parameter optimization; habitat suitability; SPECIES DISTRIBUTIONS; RANGE SHIFTS; NICHE; PREDICTION; RESPONSES; GUIDE; L;
D O I
10.3390/agriculture15030320
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Asparagus (Asparagus officinalis L.) has high health and nutritional values, but the lack of scientific and rational cultivation planning has resulted in a decline in asparagus quality and yield. Important soil, climatic, anthropogenic, and topographic environmental factors influencing the distribution of asparagus cultivation were chosen for this study. The Kuenm package in the R language (v4.2.1) was employed to optimize the maximum entropy model (MaxEnt). Pearson's correlation analysis, optimized MaxEnt, and geographic information spatial technology were then utilized to identify the main environmental factors that influence suitable habitats for asparagus in China. Potential distribution patterns, migration, and changes in trends concerning the suitability of asparagus in China under various historical and future climate scenarios were modeled and projected. Human activities and climate factors were found to be the primary environmental factors that influence the suitability distribution of asparagus cultivation in China, followed by soil and topographic factors. Historical suitable habitats covered 345.6 x 105 km2, accounting for 36% of China. These habitats are projected to expand considerably under future climatic conditions. This research offers a basis for the rational planning and sustainable development of asparagus cultivation.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Potential Global Distribution of Daktulosphaira vitifoliae under Climate Change Based on MaxEnt
    Ji, Wei
    Gao, Gary
    Wei, Jiufeng
    INSECTS, 2021, 12 (04)
  • [22] Prediction of the potentially suitable areas of Leonurus japonicus in China based on future climate change using the optimized MaxEnt model
    Wang, Yongji
    Xie, Liyuan
    Zhou, Xueyong
    Chen, Renfei
    Zhao, Guanghua
    Zhang, Fenguo
    ECOLOGY AND EVOLUTION, 2023, 13 (10):
  • [23] Predicting the current and future distribution of three Coptis herbs in China under climate change conditions, using the MaxEnt model and chemical analysis
    Li, Junjun
    Fan, Gang
    He, Yang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 698
  • [24] Maxent Model Predictions of Climate Change Impacts on the Suitable Distribution of Crayfish Aquaculture in China
    Gan, Jiangying
    Gang, He
    Yali, Yu
    Li, He
    INDIAN JOURNAL OF ANIMAL RESEARCH, 2022, 56 (10) : 1295 - 1300
  • [25] Prediction of the potentially suitable areas of Litsea cubeba in China based on future climate change using the optimized MaxEnt model
    Shi, Xiaodeng
    Wang, Jiawei
    Zhang, Li
    Chen, Shangxing
    Zhao, Anlin
    Ning, Xiaodan
    Fan, Guorong
    Wu, Nansheng
    Zhang, Ling
    Wang, Zongde
    ECOLOGICAL INDICATORS, 2023, 148
  • [26] Prediction of Potential Suitable Distribution of Liriodendron chinense (Hemsl.) Sarg. in China Based on Future Climate Change Using the Optimized MaxEnt Model
    Bai, Jieyuan
    Wang, Hongcheng
    Hu, Yike
    FORESTS, 2024, 15 (06):
  • [27] Modelling potential distribution of Tuta absoluta in China under climate change using CLIMEX and MaxEnt
    Zhao, Jinyu
    Ma, Li
    Song, Chengfei
    Xue, Zengsheng
    Zheng, Ruirui
    Yan, Xizhong
    Hao, Chi
    JOURNAL OF APPLIED ENTOMOLOGY, 2023, 147 (10) : 895 - 907
  • [28] Predicting the Impact of Climate Change on the Future Distribution of Paederus fuscipes Curtis, 1826, in China Based on the MaxEnt Model
    Gao, Hui
    Wei, Xinju
    Peng, Yaqin
    Zhuo, Zhihang
    INSECTS, 2024, 15 (06)
  • [29] Distribution pattern and change prediction of Phellodendron habitat in China under climate change
    Zhao, Yanghui
    Wen, Yafeng
    Zhang, Wenqian
    Wang, Chuncheng
    Yan, Yadan
    Hao, Siwen
    Zhang, Donglin
    ECOLOGY AND EVOLUTION, 2023, 13 (08):
  • [30] Projecting the potential distribution of Rickettsia japonica in China and Asian adjacent regions under climate change using the Maxent model
    Wang, Xiaoxu
    Shang, Meng
    Wang, Zihao
    Ji, Haoqiang
    Wang, Zhenxu
    Liu, Qiyong
    FRONTIERS IN PUBLIC HEALTH, 2025, 13