Potentially suitable habitats of Daodi goji berry in China under climate change

被引:3
|
作者
Li, Jianling [1 ,2 ,3 ,4 ]
Deng, Changrong [1 ,2 ,3 ,4 ]
Duan, Guozhen [1 ,2 ,3 ,4 ]
Wang, Zhanlin [1 ,2 ,3 ,4 ]
Zhang, Yede [5 ]
Fan, Guanghui [1 ,2 ,3 ,4 ]
机构
[1] Qinghai Univ, Acad Agr & Forestry Sci, Xining, Peoples R China
[2] Qinghai Univ, Qinghai Plateau Tree Genet & Breeding Lab, Xining, Peoples R China
[3] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining, Peoples R China
[4] Qinghai Univ, Lab Res & Utilizat Qinghai Tibet Plateau Germplasm, Xining, Peoples R China
[5] Qinghai Kunlun Goji Ind Technol Innovat Res Co Ltd, Delingha, Peoples R China
来源
关键词
Lycium barbarum; Daodi; MaxEnt; potential distribution; climate change; GEOGRAPHICAL-DISTRIBUTION; DISTRIBUTIONS; PHARMACOPEIA; BIODIVERSITY;
D O I
10.3389/fpls.2023.1279019
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Introduction Goji berry (Lycium barbarum L.) is a famous edible and medicinal herb worldwide with considerable consumption. The recent cultivation of goji berries in the Daodi region was seriously reduced due to increased production costs and the influence of policy on preventing nongrain use of arable land in China. Consequently, production of Daodi goji berry was insufficient to meet market demands for high-quality medicinal materials. Searching for regions similar to the Daodi region was necessary. Methods The MaxEnt model was used to predicted the current and future potential regions suitable for goji berry in China based on the environmental characteristics of the Daodi region (including Zhongning County of Zhongwei prefecture-level city, and its surroundings), and the ArcGIS software was used to analyze the changes in its suitable region. Results The results showed that when the parameters were FC = LQHP and RM = 2.1, the MaxEnt model was optimal, and the AUC and TSS values were greater than 0.90. The mean temperature and precipitation of the coldest quarter were the most critical variables shaping the distribution of Daodi goji berries. Under current climate conditions, the suitable habitats of the Daodi goji berry were 45,973.88 km(2), accounting for 0.48% of China's land area, which were concentrated in the central and western Ningxia Province (22,589.42 km(2)), and the central region of Gansu Province (18,787.07 km(2)) bordering western Ningxia. Under future climate scenarios, the suitable area was higher than that under current climate conditions and reached the maximum under RCP 6.0 (91,256.42 km(2)) in the 2050s and RCP 8.5 (82,459.17 km(2)) in the 2070s. The expansion regions were mainly distributed in the northeast of the current suitable ranges, and the distributional centroids were mainly shifted to the northeast. The moderately and highly suitable overlapping habitats were mainly distributed in Baiyin (7,241.75 km(2)), Zhongwei (6,757.81 km(2)), and Wuzhong (5, 236.87 km(2)) prefecture-level cities. Discussion In this stduy, MaxEnt and ArcGIS were applied to predict and analyze the suitable habitats of Daodi goji berry in China under climate change. Our results indicate that climate warming is conducive to cultivating Daodi goji berry and will not cause a shift in the Daodi region. The goji berry produced in Baiyin could be used to satisfy the demand for high-quality medicinal materials. This study addresses the insufficient supply and guides the cultivation of Daodi goji berry.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Potential Suitable Habitats of Chili Pepper in China under Climate Change
    Deng, Changrong
    Zhong, Qiwen
    Shao, Dengkui
    Ren, Yanjing
    Li, Quanhui
    Wen, Junqin
    Li, Jianling
    [J]. PLANTS-BASEL, 2024, 13 (07):
  • [2] Predicting the Distribution of Neoceratitis asiatica (Diptera: Tephritidae), a Primary Pest of Goji Berry in China, under Climate Change
    Song, Zhongkang
    Fan, Guanghui
    Deng, Changrong
    Duan, Guozhen
    Li, Jianling
    [J]. INSECTS, 2024, 15 (08)
  • [3] Changes in Potentially Suitable Areas for Fruit Utilization of Acer truncatum in China under Climate Change
    Liu, Yitong
    Wang, Yuqing
    Guo, Hui
    Wu, Di
    Wu, Sha
    Xin, Xuebin
    Pei, Shunxiang
    [J]. FORESTS, 2024, 15 (04):
  • [4] Predicting the suitable habitat distribution of berry plants under climate change
    Hamilton, Casey W.
    Smithwick, Erica A. H.
    Spellman, Katie V.
    Baltensperger, Andrew P.
    Spellman, Blaine T.
    Chi, Guangqing
    [J]. LANDSCAPE ECOLOGY, 2024, 39 (02)
  • [5] Predicting the suitable habitat distribution of berry plants under climate change
    Casey W. Hamilton
    Erica A. H. Smithwick
    Katie V. Spellman
    Andrew P. Baltensperger
    Blaine T. Spellman
    Guangqing Chi
    [J]. Landscape Ecology, 39
  • [6] Potentially Suitable Area and Change Trends of Tulipa iliensis under Climate Change
    Qin, Douwen
    Liu, Weiqiang
    Tian, Jiting
    Ju, Xiuting
    [J]. PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY, 2024, 93 (05) : 981 - 1005
  • [7] Potentially Suitable Area and Change Trends of Tulipa iliensis under Climate Change
    Qin, Douwen
    Liu, Weiqiang
    Tian, Jiting
    Ju, Xiuting
    [J]. PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY, 2024,
  • [8] Climate Change Facilitates the Potentially Suitable Habitats of the Invasive Crop Insect Ectomyelois ceratoniae (Zeller)
    Liu, Changqing
    Yang, Ming
    Li, Ming
    Jin, Zhenan
    Yang, Nianwan
    Yu, Hao
    Liu, Wanxue
    Dai, Shengpei
    Zhao, Zhizhong
    [J]. ATMOSPHERE, 2024, 15 (01)
  • [9] Geographic distribution and impacts of climate change on the suitable habitats of Glycyrrhiza species in China
    Shiyuan Huang
    Wenchao Zhang
    Zhengyi Hong
    Yanghe Yuan
    Zekai Tan
    Ying Wang
    Zhuoyu Chen
    Jiahui Zheng
    Zheng Zhang
    Lanyue Zhang
    Min Chen
    [J]. Environmental Science and Pollution Research, 2023, 30 : 55625 - 55634
  • [10] Geographic distribution and impacts of climate change on the suitable habitats of Zingiber species in China
    Huang, Zebin
    Xie, Lingna
    Wang, Huawei
    Zhong, Jiaben
    Li, Yanchen
    Liu, Junlei
    Ou, Zhirong
    Liang, Xiaoxin
    Li, Yongshan
    Huang, Hanyi
    Lin, Zhirong
    Zhang, Kun
    Zhang, Lanyue
    Zheng, Xi
    [J]. INDUSTRIAL CROPS AND PRODUCTS, 2019, 138