Assessing Habitat Suitability for Hippophae rhamnoides subsp. turkestanica Amid Climate Change Using the MaxEnt Model

被引:0
|
作者
Ma, Fanyan [1 ]
He, Mengyao [1 ]
Wang, Mei [2 ]
Chu, Guangming [1 ]
Yang, Zhen'an [1 ]
Luo, Cunkai [1 ]
Zhou, Mingwang [1 ]
Hui, Ying [1 ]
Ding, Junjie [3 ]
机构
[1] Shihezi Univ, Coll Agr, Shihezi 832003, Peoples R China
[2] Shihezi Univ, Coll Sci, Shihezi 832003, Peoples R China
[3] Xinjiang Acad Agr & Reclamat Sci, Shihezi 832003, Peoples R China
来源
FORESTS | 2025年 / 16卷 / 03期
关键词
Hippophae rhamnoides subsp. turkestanica; climate change; habitat suitability; MaxEnt; L;
D O I
10.3390/f16030468
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Hippophae rhamnoides subsp. turkestanica is mainly distributed in the mountains, valleys, and desert edges of Central Asia. It plays a vital role in maintaining ecological stability in arid and semiarid areas. In this study, the MaxEnt model was used to simulate the habitat suitability of H. rhamnoides subsp. turkestanica, and the key environmental factors affecting its distribution were identified. Additionally, we explored habitat sensitivity to climate change, and provided essential information for the conservation and management of this important subspecies in arid and semiarid regions. Under four different climate scenarios (SSP126, SSP245, SSP370, and SSP585) in 2040, 2060, 2080, and 2100, the prediction of habitat suitability and changes in species distribution centroids in the future were simulated. The results revealed that suitable habitats for H. rhamnoides subsp. turkestanica are primarily located in Tajikistan, Kyrgyzstan, China, Pakistan, and Afghanistan. Altitude (Alt), isothermality (bio3), and slope (Slo) emerged as the main environmental factors. Projections suggest a significant expansion in the total area of suitable habitat under future climate scenarios. By 2100, the suitable habitat areas under the SSP126, SSP245, SSP370, and SSP585 scenarios will reach 10,526,800 km2, 12,930,200 km2, 15,449,900 km2 and 14,504,800 km2, respectively. In addition, a slight northwestward shift was observed in the distribution centroid. These findings provide important insights for conservation efforts aimed at protecting H. rhamnoides subsp. turkestanica and supporting its biodiversity. By understanding the factors affecting habitat suitability and predicting changes in climate scenarios, this study provides valuable guidance for developing long-term conservation strategies.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] 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):
  • [42] Predicting the Potential Suitable Climate for Coconut (Cocos nucifera L.) Cultivation in India under Climate Change Scenarios Using the MaxEnt Model
    Hebbar, Kukkehalli Balachandra
    Abhin, Pulloott Sukumar
    Jose, Veliyathukudy Sanjo
    Neethu, Poonchalikundil
    Santhosh, Arya
    Shil, Sandip
    Prasad, P. V. Vara
    PLANTS-BASEL, 2022, 11 (06):
  • [43] 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
  • [44] Assessing the climate change impact on the habitat suitability of the range-restricted bird species (Catreus wallichii) in the Indian Himalayan ecosystem
    Hukum Singh
    Narendra Kumar
    Ranjeet Singh
    Manoj Kumar
    Environmental Science and Pollution Research, 2023, 30 : 121224 - 121235
  • [45] Assessing the climate change impact on the habitat suitability of the range-restricted bird species (Catreus wallichii) in the Indian Himalayan ecosystem
    Singh, Hukum
    Kumar, Narendra
    Singh, Ranjeet
    Kumar, Manoj
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (57) : 121224 - 121235
  • [46] Lineage-level species distribution model to assess the impact of climate change on the habitat suitability of Boleophthalmus pectinirostris
    Wu, Zengman
    Dong, Hao
    Li, Linjie
    Zhao, Linlin
    Song, Na
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2024, 12
  • [47] Predictive Modeling of Suitable Habitats for Cinnamomum Camphora (L.) Presl Using Maxent Model under Climate Change in China
    Zhang, Lei
    Jing, Zhinong
    Li, Zuyao
    Liu, Yang
    Fang, Shengzuo
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (17)
  • [48] Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model
    Soilhi, Zayneb
    Sayari, Najla
    Benalouache, Nadia
    Mekki, Mounir
    ECOLOGICAL INFORMATICS, 2022, 68
  • [49] Prediction of the Potentially Suitable Areas of Sesame in China Under Climate Change Scenarios Using MaxEnt Model
    Li, Guoqiang
    Wang, Xue
    Zhang, Jie
    Hu, Feng
    Zang, Hecang
    Gao, Tongmei
    Li, Youjun
    Huang, Ming
    AGRICULTURE-BASEL, 2024, 14 (11):
  • [50] Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China
    Zhao, Yuncheng
    Zhao, Mingyue
    Zhang, Lei
    Wang, Chunyi
    Xu, Yinlong
    AGRICULTURE-BASEL, 2021, 11 (11):