• 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

基于 PSR-VOR 模型的耕地系统健康时空变化研究——以两湖平原为例。

Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model-A Case Study of the Two Lake Plains, China.

机构信息

College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China.

Tourism and Historical Culture College, Zhaoqing University, Zhaoqing 526061, China.

出版信息

Int J Environ Res Public Health. 2023 Jan 16;20(2):1629. doi: 10.3390/ijerph20021629.

DOI:10.3390/ijerph20021629
PMID:36674380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9867225/
Abstract

Cultivated land resources are the material basis of sustainable agricultural development. Climate change, food security, land pollution, and other issues highlight the value of sustainable agricultural development, and the health of the cultivated land system has attracted much attention. By constructing "PSR-VOR" cultivated land system health evaluation framework under the 5 km grid scale and using GIS spatial analysis and mathematical statistics to comprehensively evaluate the health status of the cultivated land system in the two lake plains from 2000 to 2019. The major results have shown that: (1) Over the past 20 years, both the highest and average values of the health index of the cultivated land system have gone down, and the health status of the cultivated land system has changed and gotten worse over time. (2) The health status in the two lake plains has been generally good, mainly in Class I and Class II areas. However, the area of cultivated land with general and poor health status has increased rapidly. On the whole, the health level presents the characteristic of gradually decreasing from the northeast to the southwest and southeast. (3) During the study period, the global Moran's I value of the cultivated land system health index in the two lake plains increased from 0.686 to 0.729, with significant spatial positive autocorrelation, and the spatial heterogeneity of the cultivated land system health index gradually increased. As shown by the spatial distribution characteristics of high in the north, low in the south, and decreasing from the middle to the outside, the distribution of the high-value cluster area and the low-value cluster area of the cultivated land system health index in the two lake plains has not changed significantly over the past 20 years. (4) The two lake plains are divided into five areas: a moderate optimization area, a collaborative optimization area, a potential improvement area, a key improvement area, and a priority improvement area. The urgency of regulating the health status from the moderate optimization area to the priority improvement area has gradually increased, and the differentiated utilization and management of cultivated land resources need to be carried out according to local conditions.

摘要

耕地资源是农业可持续发展的物质基础。气候变化、粮食安全、土地污染等问题凸显了农业可持续发展的重要性,耕地系统健康受到广泛关注。本研究构建了 5km 格网尺度下的“PSR-VOR”耕地系统健康评价框架,运用 GIS 空间分析和数理统计方法,全面评价了 2000—2019 年两湖平原耕地系统健康状况。结果表明:①20 年来,耕地系统健康指数的最高值和平均值均呈下降趋势,耕地系统健康状况随时间推移而变差。②两湖平原耕地系统健康状况整体较好,以Ⅰ级和Ⅱ级为主,但一般和较差健康状况的耕地面积快速增加,整体呈现由东北向西南和东南逐渐变差的特征。③研究期间,两湖平原耕地系统健康指数的全局 Moran's I 值由 0.686 增加到 0.729,具有显著的空间正相关性,耕地系统健康指数的空间异质性逐渐增大。从耕地系统健康指数的高值区集聚、低值区集聚的空间分布特征来看,20 年来两湖平原耕地系统健康指数高值区和低值区的分布变化不大。④将两湖平原划分为中优化区、协同优化区、潜优提升区、重点提升区和优先提升区 5 个耕地资源利用与管理分区。从中优化区向优先提升区调控耕地系统健康状态的紧迫性逐渐增加,需要因地制宜地开展耕地资源差异化利用与管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/30e6e11b6b83/ijerph-20-01629-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/a3942845d77e/ijerph-20-01629-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/cbce08f7dca2/ijerph-20-01629-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/e6bb249dfe8c/ijerph-20-01629-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/ae4c728b83be/ijerph-20-01629-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/b8c3ce1d9ee6/ijerph-20-01629-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/21e5859bf036/ijerph-20-01629-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/87366d531257/ijerph-20-01629-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/4b3212fa273a/ijerph-20-01629-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/a077fadd6020/ijerph-20-01629-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/a6702add6aeb/ijerph-20-01629-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/74a6a1193b4a/ijerph-20-01629-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/30e6e11b6b83/ijerph-20-01629-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/a3942845d77e/ijerph-20-01629-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/cbce08f7dca2/ijerph-20-01629-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/e6bb249dfe8c/ijerph-20-01629-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/ae4c728b83be/ijerph-20-01629-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/b8c3ce1d9ee6/ijerph-20-01629-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/21e5859bf036/ijerph-20-01629-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/87366d531257/ijerph-20-01629-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/4b3212fa273a/ijerph-20-01629-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/a077fadd6020/ijerph-20-01629-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/a6702add6aeb/ijerph-20-01629-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/74a6a1193b4a/ijerph-20-01629-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97ec/9867225/30e6e11b6b83/ijerph-20-01629-g012.jpg

相似文献

1
Spatiotemporal Changes of Cultivated Land System Health Based on PSR-VOR Model-A Case Study of the Two Lake Plains, China.基于 PSR-VOR 模型的耕地系统健康时空变化研究——以两湖平原为例。
Int J Environ Res Public Health. 2023 Jan 16;20(2):1629. doi: 10.3390/ijerph20021629.
2
The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains.两湖平原耕地多功能时空演变特征及其权衡/协同关系。
Int J Environ Res Public Health. 2022 Nov 15;19(22):15040. doi: 10.3390/ijerph192215040.
3
Cultivated Land Change, Driving Forces and Its Impact on Landscape Pattern Changes in the Dongting Lake Basin.耕地变化、驱动力及其对洞庭湖流域景观格局变化的影响。
Int J Environ Res Public Health. 2020 Oct 30;17(21):7988. doi: 10.3390/ijerph17217988.
4
Cultivated land multifunctionality in undeveloped peri-urban agriculture areas in China: Implications for sustainable land management.中国未开发城郊农业区的耕地多功能性:对可持续土地管理的启示。
J Environ Manage. 2023 Jan 1;325(Pt A):116500. doi: 10.1016/j.jenvman.2022.116500. Epub 2022 Oct 17.
5
Modeling of spatial pattern and influencing factors of cultivated land quality in Henan Province based on spatial big data.基于空间大数据的河南省耕地质量空间格局及影响因素建模。
PLoS One. 2022 Apr 8;17(4):e0265613. doi: 10.1371/journal.pone.0265613. eCollection 2022.
6
Spatial Analysis of Cultivated Land Productivity, Site Condition and Cultivated Land Health at County Scale.县域耕地生产力、立地条件和耕地健康的空间分析。
Int J Environ Res Public Health. 2022 Sep 27;19(19):12266. doi: 10.3390/ijerph191912266.
7
[Spatial-temporal pattern and obstacle factors of cultivated land ecological security in major grain producing areas of northeast China: a case study in Jilin Province].[东北粮食主产区耕地生态安全时空格局及障碍因素——以吉林省为例]
Ying Yong Sheng Tai Xue Bao. 2014 Feb;25(2):515-24.
8
Temporal and spatial changes in land use and ecosystem service value based on SDGs' reports: a case study of Dianchi Lake Basin, China.基于 SDGs 报告的土地利用和生态系统服务价值的时空变化:以中国滇池流域为例。
Environ Sci Pollut Res Int. 2023 Mar;30(11):31421-31435. doi: 10.1007/s11356-022-24263-3. Epub 2022 Nov 30.
9
Spatiotemporal patterns of the trade-off and synergy relationship among ecosystem services in Poyang Lake Region, China.中国鄱阳湖地区生态系统服务权衡与协同关系的时空格局
Ying Yong Sheng Tai Xue Bao. 2019 Mar;30(3):995-1004. doi: 10.13287/j.1001-9332.201903.005.
10
[Spatial autocorrelation analysis of land use and ecosystem service value in Maduo County, Qinghai Province, China at the grid scale].[中国青海省玛多县网格尺度下土地利用与生态系统服务价值的空间自相关分析]
Ying Yong Sheng Tai Xue Bao. 2020 May;31(5):1660-1672. doi: 10.13287/j.1001-9332.202005.014.

本文引用的文献

1
Spatial Analysis of Cultivated Land Productivity, Site Condition and Cultivated Land Health at County Scale.县域耕地生产力、立地条件和耕地健康的空间分析。
Int J Environ Res Public Health. 2022 Sep 27;19(19):12266. doi: 10.3390/ijerph191912266.
2
Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation.基于 CRITIC 权重法、逼近理想解排序法(TOPSIS)-资产评分法和蒙特卡罗模拟的赤潮风险评估。
Environ Pollut. 2022 Dec 1;314:120254. doi: 10.1016/j.envpol.2022.120254. Epub 2022 Sep 21.
3
Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province.
湖北省耕地利用碳排放的时空特征、脱钩效应及驱动因素
Int J Environ Res Public Health. 2022 Jul 30;19(15):9326. doi: 10.3390/ijerph19159326.
4
Conflict Identification and Zoning Optimization of "Production-Living-Ecological" Space.“生产-生活-生态”空间冲突识别与分区优化。
Int J Environ Res Public Health. 2022 Jun 29;19(13):7990. doi: 10.3390/ijerph19137990.
5
Spatiotemporal Differentiation and Balance Pattern of Ecosystem Service Supply and Demand in the Yangtze River Economic Belt.长江经济带生态系统服务供给与需求的时空分异及平衡格局。
Int J Environ Res Public Health. 2022 Jun 13;19(12):7223. doi: 10.3390/ijerph19127223.
6
Analysis of Heavy Metal Pollution in Cultivated Land of Different Quality Grades in Yangtze River Delta of China.中国长三角不同质量等级耕地重金属污染分析。
Int J Environ Res Public Health. 2021 Sep 19;18(18):9876. doi: 10.3390/ijerph18189876.
7
Cities are going uphill: Slope gradient analysis of urban expansion and its driving factors in China.城市在向上发展:中国城市扩张及其驱动因素的坡度梯度分析。
Sci Total Environ. 2021 Jun 25;775:145836. doi: 10.1016/j.scitotenv.2021.145836. Epub 2021 Feb 14.
8
The concept and future prospects of soil health.土壤健康的概念与未来展望。
Nat Rev Earth Environ. 2020 Oct;1(10):544-553. doi: 10.1038/s43017-020-0080-8. Epub 2020 Aug 25.
9
Pollution assessment and health risk evaluation of eight (metalloid) heavy metals in farmland soil of 146 cities in China.中国 146 个城市农田土壤中八种(类)重金属的污染评价及健康风险评估。
Environ Geochem Health. 2020 Nov;42(11):3949-3963. doi: 10.1007/s10653-020-00634-y. Epub 2020 Jul 10.
10
A database for global soil health assessment.全球土壤健康评估数据库。
Sci Data. 2020 Jan 13;7(1):16. doi: 10.1038/s41597-020-0356-3.