• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

量化土地利用程度的空间分异机制。

Quantifying the spatial differentiation mechanism of land use degree.

作者信息

Wang Guangjie, Peng Wenfu

机构信息

The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.

Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Chengdu 610068, China.

出版信息

Heliyon. 2022 Nov 8;8(11):e11389. doi: 10.1016/j.heliyon.2022.e11389. eCollection 2022 Nov.

DOI:10.1016/j.heliyon.2022.e11389
PMID:36387544
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9647443/
Abstract

The land use degree reflects the land use due to natural factors and human activities, and thus, its spatial differentiation analysis and the study of factors influencing it is of great importance. Although the mechanisms by which changes in factors affect land use have been extensively studied, the impact of factor variations on spatial differentiation of land use degree remains poorly understood. Therefore, in this study, we applied geographical detector, a new tool of spatial statistics, and used spatial autocorrelation and GIS spatial analyses to study the interactive effects of factors on land use degree and their changes in Sichuan, western China and identified the most appropriate characteristics and scope of factors. The land use degree showed an increasing trend. The geographical differentiation of land use was significant, with a high land use degree in the Chengdu Plain and its surrounding areas in the east, a low land use degree in the plateau area of western Sichuan and a significant aggregated distribution. Topographic relief, elevation, annual average temperature, geomorphic type, ≥10°C accumulated temperature, and other factors provided a good explanation for the variability in the land use degree. There were interactive effects of factors that influenced the land use degree. The synergistic effects of factors exhibited mutual and non-linear enhancement relationships, and the interaction of the factors enhanced the influence of individual factors. The most appropriate characteristics and scope of the main factors revealed by our study will contribute to a better understanding of the influences of factors on the changes in land use and their driving mechanisms.

摘要

土地利用程度反映了自然因素和人类活动对土地的利用情况,因此,对其进行空间分异分析以及对影响因素的研究具有重要意义。尽管已有大量研究探讨了各因素变化对土地利用的影响机制,但对于因素变化对土地利用程度空间分异的影响仍知之甚少。因此,在本研究中,我们应用了空间统计的新工具——地理探测器,并结合空间自相关和GIS空间分析,研究了中国西部四川省各因素对土地利用程度的交互作用及其变化,确定了各因素的最适宜特征和范围。土地利用程度呈上升趋势。土地利用的地理分异显著,东部成都平原及其周边地区土地利用程度高,川西高原地区土地利用程度低,且呈现出明显的集聚分布。地形起伏、海拔、年平均气温、地貌类型、≥10℃积温等因素对土地利用程度的变异性具有较好的解释作用。各因素之间存在影响土地利用程度的交互作用。因素的协同效应呈现出相互且非线性的增强关系,各因素的交互作用增强了单个因素的影响。本研究揭示的主要因素的最适宜特征和范围,将有助于更好地理解各因素对土地利用变化的影响及其驱动机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/6fa352915702/gr007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/b0b4b28047bf/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/4ac9fdc21b5a/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/fc7e565cd45a/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/8835e8114caa/gr004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/0871118c9fdb/gr005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/e20a5693fbd9/gr006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/6fa352915702/gr007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/b0b4b28047bf/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/4ac9fdc21b5a/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/fc7e565cd45a/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/8835e8114caa/gr004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/0871118c9fdb/gr005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/e20a5693fbd9/gr006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9746/9647443/6fa352915702/gr007.jpg

相似文献

1
Quantifying the spatial differentiation mechanism of land use degree.量化土地利用程度的空间分异机制。
Heliyon. 2022 Nov 8;8(11):e11389. doi: 10.1016/j.heliyon.2022.e11389. eCollection 2022 Nov.
2
Spatiotemporal Variation and Driving Forces Analysis of Eco-System Service Values: A Case Study of Sichuan Province, China.生态系统服务价值的时空变化及驱动因素分析:以中国四川省为例。
Int J Environ Res Public Health. 2022 Jul 14;19(14):8595. doi: 10.3390/ijerph19148595.
3
[Spatial Characteristics and Potential Ecological Risk Factors of Heavy Metals in Cultivated Land in the Transition Zone of a Mountain Plain].山地平原过渡区耕地重金属空间特征及潜在生态风险因素研究
Huan Jing Ke Xue. 2022 Feb 8;43(2):946-956. doi: 10.13227/j.hjkx.202105139.
4
[Detecting Influencing Factor of Vegetation NPP in Southwest China Based on Spatial Scale Effect].基于空间尺度效应的中国西南地区植被净初级生产力影响因素探测
Huan Jing Ke Xue. 2023 Feb 8;44(2):900-911. doi: 10.13227/j.hjkx.202203254.
5
Temporal and spatial differentiation characteristics of ecosystem service values based on the ecogeographical division of China: a case study in the Yellow River Basin, China.基于中国生态地理分区的生态系统服务价值时空分异特征——以中国黄河流域为例
Environ Sci Pollut Res Int. 2023 Jan;30(3):8317-8337. doi: 10.1007/s11356-022-22748-9. Epub 2022 Sep 2.
6
Quantifying spatiotemporal dynamics of vegetation and its differentiation mechanism based on geographical detector.基于地理探测器的植被时空动态量化及其分异机制研究
Environ Sci Pollut Res Int. 2022 May;29(21):32016-32031. doi: 10.1007/s11356-021-17544-w. Epub 2022 Jan 11.
7
[Landscape Pattern Vulnerability and Its Driving Forces in Different Geomorphological Divisions in the Middle Yellow River].黄河中游不同地貌分区景观格局脆弱性及其驱动力
Huan Jing Ke Xue. 2024 Jun 8;45(6):3363-3374. doi: 10.13227/j.hjkx.202307117.
8
Spatial-Temporal Features and Correlation Studies of County Rural Hollowing in Sichuan.四川省县域农村空心化的时空特征及相关性研究。
Int J Environ Res Public Health. 2022 Jul 26;19(15):9075. doi: 10.3390/ijerph19159075.
9
[Variation in fractional vegetation cover and its attribution analysis of different regions of Beijing-Tianjin Sand Source Region, China].[中国京津风沙源区不同区域植被覆盖度变化及其归因分析]
Ying Yong Sheng Tai Xue Bao. 2021 Aug;32(8):2895-2905. doi: 10.13287/j.1001-9332.202108.018.
10
Identifying Driving Forces of Built-Up Land Expansion Based on the Geographical Detector: A Case Study of Pearl River Delta Urban Agglomeration.基于地理探测器的建设用地扩张驱动因素识别——以珠江三角洲城市群为例。
Int J Environ Res Public Health. 2020 Mar 8;17(5):1759. doi: 10.3390/ijerph17051759.

本文引用的文献

1
[Land use change and its driving force on the southern slope of Qilian Mountains from 1980 to 2018].1980年至2018年祁连山脉南坡土地利用变化及其驱动力
Ying Yong Sheng Tai Xue Bao. 2020 Aug;31(8):2699-2709. doi: 10.13287/j.1001-9332.202008.017.
2
The varying driving forces of urban land expansion in China: Insights from a spatial-temporal analysis.中国城市土地扩张的驱动因素变化:基于时空分析的见解。
Sci Total Environ. 2021 Apr 20;766:142591. doi: 10.1016/j.scitotenv.2020.142591. Epub 2020 Oct 8.
3
Spatiotemporal scale and integrative methods matter for quantifying the driving forces of land cover change.
时空尺度和综合方法对于量化土地覆盖变化的驱动因素至关重要。
Sci Total Environ. 2020 Oct 15;739:139622. doi: 10.1016/j.scitotenv.2020.139622. Epub 2020 May 22.
4
China and India lead in greening of the world through land-use management.中国和印度通过土地利用管理在全球绿化方面处于领先地位。
Nat Sustain. 2019;2:122-129. doi: 10.1038/s41893-019-0220-7. Epub 2019 Feb 11.
5
Assessing driving forces of land use and land cover change by a mixed-method approach in north-eastern Ghana, West Africa.采用混合方法评估西非加纳东北部土地利用和土地覆盖变化的驱动力
J Environ Manage. 2017 Jul 1;196:411-442. doi: 10.1016/j.jenvman.2017.01.053. Epub 2017 Mar 21.
6
Impact of topographic aspect and vegetation (native and reforested areas) on soil organic carbon and nitrogen budgets in Mediterranean natural areas.地形方位和植被(本地和再造林地区)对地中海自然区域土壤有机碳和氮预算的影响。
Sci Total Environ. 2016 Feb 15;544:963-70. doi: 10.1016/j.scitotenv.2015.12.022. Epub 2015 Dec 17.