Distribution Prediction and Adaptability Analysis of Section Camellia Plants (Camellia Genus) in China Based on the MaxEnt Model

IF 2.3 2区 生物学 Q2 ECOLOGY Ecology and Evolution Pub Date : 2025-04-26 DOI:10.1002/ece3.71365
Weihao Gu, Xu Xiao, Zhaohui Ran, Chao Yan, Dongzhen Jiang, Lei Zhou, Mingtai An, Zhi Li
{"title":"Distribution Prediction and Adaptability Analysis of Section Camellia Plants (Camellia Genus) in China Based on the MaxEnt Model","authors":"Weihao Gu,&nbsp;Xu Xiao,&nbsp;Zhaohui Ran,&nbsp;Chao Yan,&nbsp;Dongzhen Jiang,&nbsp;Lei Zhou,&nbsp;Mingtai An,&nbsp;Zhi Li","doi":"10.1002/ece3.71365","DOIUrl":null,"url":null,"abstract":"<p>Sect. <i>Camellia</i> plants, widely distributed across southern China, hold significant economic value through their dual applications in landscape greening, ornamental horticulture, and oilseed production. However, with rapid changes in the global climate, it is becoming increasingly important to study the habitat distributions of species and the factors influencing their adaptations. Using the maximum entropy model, we predicted the past, present, and future distribution areas of suitable habitats for sect. <i>Camellia</i> under different climate scenarios. The results revealed that under current climate conditions, the total suitable area of sect. <i>Camellia</i> was 17.04 × 10<sup>5</sup> km<sup>2</sup>, and the highly suitable area was 1.95 × 10<sup>5</sup> km<sup>2</sup>. The distribution of sect. <i>Camellia</i> was strongly influenced by key environmental factors, such as the maximum temperature in the hottest month (Bio5), the minimum temperature in the coldest month (Bio6), the annual difference in temperature (Bio7), and the slope (Slope). In view of future climate change, the suitable distribution center of sect. <i>Camellia</i> is expected to shift to higher latitudes and may undergo northward movement to adapt to new environmental conditions, leading to an expansion of the total suitable area.</p>","PeriodicalId":11467,"journal":{"name":"Ecology and Evolution","volume":"15 4","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ece3.71365","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology and Evolution","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ece3.71365","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Sect. Camellia plants, widely distributed across southern China, hold significant economic value through their dual applications in landscape greening, ornamental horticulture, and oilseed production. However, with rapid changes in the global climate, it is becoming increasingly important to study the habitat distributions of species and the factors influencing their adaptations. Using the maximum entropy model, we predicted the past, present, and future distribution areas of suitable habitats for sect. Camellia under different climate scenarios. The results revealed that under current climate conditions, the total suitable area of sect. Camellia was 17.04 × 105 km2, and the highly suitable area was 1.95 × 105 km2. The distribution of sect. Camellia was strongly influenced by key environmental factors, such as the maximum temperature in the hottest month (Bio5), the minimum temperature in the coldest month (Bio6), the annual difference in temperature (Bio7), and the slope (Slope). In view of future climate change, the suitable distribution center of sect. Camellia is expected to shift to higher latitudes and may undergo northward movement to adapt to new environmental conditions, leading to an expansion of the total suitable area.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于MaxEnt模型的中国山茶属剖面植物分布预测及适应性分析
山茶属植物广泛分布于中国南方,通过其在园林绿化、观赏园艺和油籽生产方面的双重应用,具有重要的经济价值。然而,随着全球气候的快速变化,研究物种的栖息地分布及其适应的影响因素变得越来越重要。利用最大熵模型预测了不同气候情景下茶花适宜生境的过去、现在和未来分布面积。结果表明:在当前气候条件下,山茶属植物的适宜种植面积为17.04 × 105 km2,高度适宜种植面积为1.95 × 105 km2;最热月最高气温(Bio5)、最冷月最低气温(Bio6)、年温差(Bio7)和坡度(slope)等关键环境因子对山茶的分布有强烈影响。考虑到未来的气候变化,预计山茶的适宜分布中心将向高纬度地区转移,并可能向北移动以适应新的环境条件,从而导致总适宜面积的扩大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
期刊最新文献
Multiscale Threats Shape the Occurrence Dynamics of a Threatened Aquatic Salamander and Reveal a Possible Extinction Debt. Lack of Population Structure of an Extreme Migratory Shorebird: Evidence of Gene Flow Between Geographically Disparate Populations. Decluttering Seed Dispersal Modes: Bringing Clarity to Seed Dispersal Ecology. Movement Models to Predict Low-Altitude Flight of Soaring Birds Using Look-Ahead Environmental Factors. Signatures of the Anthropocene: Population Genomic Structure Detected in Pennsylvania Coyotes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1