Suitability prediction of potential arable land in southeast coastal area of China.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yan Zheng, Xiaohuang Liu, Jianwei Shi, Ping Zhu, Run Liu, Liyuan Xing, Hongyu Li, Chao Wang
{"title":"Suitability prediction of potential arable land in southeast coastal area of China.","authors":"Yan Zheng, Xiaohuang Liu, Jianwei Shi, Ping Zhu, Run Liu, Liyuan Xing, Hongyu Li, Chao Wang","doi":"10.1038/s41598-025-09854-7","DOIUrl":null,"url":null,"abstract":"<p><p>Cultivated land in coastal areas is highly vulnerable to climate and has continued to degrade in recent years. To ensure food security in the southeast coastal region, it is necessary to focus on the cultivated land degradation caused by climate change. This study predicted the potential suitable areas for cultivated land in the southeast coastal region using 32 environmental variables by the R-optimized MaxEnt model. Then, the spatial distribution pattern and centroid migration trend of the potential habitat area under two greenhouse gas emission scenarios (SSP126 and SSP585) in the future 2021-2040 (2040s) and 2041-2060 (2060s) were modeled. The results are as follows: (1) The main environmental variables affecting the distribution of cultivated land are elevation and daily range of average temperature. (2) Under the current climate scenario, the suitable areas for cultivated land are mainly distributed along the coastal edges of Guangxi, Guangdong, Hainan, and Fujian, and the eastern and western edges of Taiwan, accounting for 35.4% of the southeast coastal area's total (3) Under future climate change scenarios of SSP126 and SSP585, the potential suitable area for cultivated land generally showed a shrinking trend, decreasing by 3.1 - 6% and - 0.1% - 3.4% respectively. The total suitable area under the SSP126 shrinks more than under the SSP585, suggesting more severe land degradation under the low emission scenario. (4) In future scenarios, the center of suitable cultivated land migrates towards lower latitudes, corresponding with the shift of daily temperature range. The areas suitable for cultivated land predicted in this study can lay a theoretical foundation for future land resource investigation and assessment as well as the preparatory work for cultivated land transfer. Accordingly, it is possible to make advance plans and arrangements in aspects such as infrastructure construction and the promotion of agricultural technologies. While actively promoting the development of low-carbon agriculture, cultivated land resources should be effectively protected, providing scientific guidance for climate change adaptation.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"25814"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12267452/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Reports","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41598-025-09854-7","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Cultivated land in coastal areas is highly vulnerable to climate and has continued to degrade in recent years. To ensure food security in the southeast coastal region, it is necessary to focus on the cultivated land degradation caused by climate change. This study predicted the potential suitable areas for cultivated land in the southeast coastal region using 32 environmental variables by the R-optimized MaxEnt model. Then, the spatial distribution pattern and centroid migration trend of the potential habitat area under two greenhouse gas emission scenarios (SSP126 and SSP585) in the future 2021-2040 (2040s) and 2041-2060 (2060s) were modeled. The results are as follows: (1) The main environmental variables affecting the distribution of cultivated land are elevation and daily range of average temperature. (2) Under the current climate scenario, the suitable areas for cultivated land are mainly distributed along the coastal edges of Guangxi, Guangdong, Hainan, and Fujian, and the eastern and western edges of Taiwan, accounting for 35.4% of the southeast coastal area's total (3) Under future climate change scenarios of SSP126 and SSP585, the potential suitable area for cultivated land generally showed a shrinking trend, decreasing by 3.1 - 6% and - 0.1% - 3.4% respectively. The total suitable area under the SSP126 shrinks more than under the SSP585, suggesting more severe land degradation under the low emission scenario. (4) In future scenarios, the center of suitable cultivated land migrates towards lower latitudes, corresponding with the shift of daily temperature range. The areas suitable for cultivated land predicted in this study can lay a theoretical foundation for future land resource investigation and assessment as well as the preparatory work for cultivated land transfer. Accordingly, it is possible to make advance plans and arrangements in aspects such as infrastructure construction and the promotion of agricultural technologies. While actively promoting the development of low-carbon agriculture, cultivated land resources should be effectively protected, providing scientific guidance for climate change adaptation.

Abstract Image

Abstract Image

Abstract Image

东南沿海地区潜在耕地适宜性预测
沿海地区的耕地极易受到气候的影响,近年来持续退化。要保障东南沿海地区的粮食安全,必须重视气候变化导致的耕地退化问题。采用r优化的MaxEnt模型,利用32个环境变量对东南沿海地区潜在适宜耕地面积进行了预测。在此基础上,对未来2021-2040年(2040年代)和2041-2060年(2060年代)两种温室气体排放情景(SSP126和SSP585)下潜在栖息地面积的空间分布格局和质心迁移趋势进行了模拟。结果表明:(1)影响耕地分布的主要环境变量是高程和平均气温日差。(2)当前气候情景下,耕地适宜面积主要分布在广西、广东、海南、福建沿海边缘和台湾东西边缘,占东南沿海面积的35.4%。(3)在SSP126和SSP585未来气候变化情景下,耕地潜在适宜面积总体呈现萎缩趋势,分别减少3.1% ~ 6%和- 0.1% ~ 3.4%。与SSP585相比,SSP126的适宜总面积缩小幅度更大,表明低排放情景下土地退化更为严重。(4)未来情景下,适宜耕地中心向低纬度地区迁移,与日温差变化相对应。本研究预测的适宜耕地面积可为今后土地资源调查评价和耕地流转准备工作奠定理论基础。因此,可以在基础设施建设和农业技术推广等方面进行提前规划和安排。在积极推进低碳农业发展的同时,要有效保护耕地资源,为适应气候变化提供科学指导。
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 求助全文
来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信