• 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

基于空间模糊多准则决策分析的半干旱陆地生态系统下区域尺度潜在农业用地适宜性分析

Site suitability analysis for potential agricultural land with spatial fuzzy multi-criteria decision analysis in regional scale under semi-arid terrestrial ecosystem.

机构信息

Department of Industrial Engineering, Faculty of Engineering, Ondokuz Mayıs University, 55139, Samsun, Turkey.

Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Ondokuz Mayıs University, 55139, Samsun, Turkey.

出版信息

Sci Rep. 2020 Dec 16;10(1):22074. doi: 10.1038/s41598-020-79105-4.

DOI:10.1038/s41598-020-79105-4
PMID:33328573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7744537/
Abstract

The main purpose of this study is to identify suitable potential areas for agricultural activities in the semi-arid terrestrial ecosystem in the Central Anatolia Region. MCDA was performed in fuzzy environment integrated with GIS techniques and different geostatistical interpolation models, which was chosen as the basis for the present study. A total of nine criteria were used, as four terrain properties and five soil features to identify potential sites suitable for agriculture lands in Central Anatolia which covers approximately 195,012.7 km. In order to assign weighting value for each criterion, FAHP approach was used to make sufficiently sensitive levels of importance of the criteria. DEM with 10 m pixel resolution used to determine the height and slope characteristics, digital geology and soil maps, CORINE land use/land cover, long-term meteorological data, and 4517 soil samples taken from the study area were used. It was identified that approximately 30.7% of the total area (59,921.8 ha) is very suitable and suitable for potential agriculture activities on S1 and S2 levels, 42.7% of the area is not suitable for agricultural uses, and only 27% of the area is marginally suitable for agricultural activities. Besides, it was identified that 34.8% of the area is slightly suitable.

摘要

本研究的主要目的是确定中安纳托利亚地区半干旱陆地生态系统中适合农业活动的潜在区域。在模糊环境中结合 GIS 技术和不同的地质统计学插值模型进行了多准则决策分析(MCDA),这是本研究的基础。总共使用了九个标准,包括四个地形属性和五个土壤特征,以确定中安纳托利亚地区约 195012.7 平方公里范围内适合农业用地的潜在地点。为了为每个标准分配权重值,使用 FAHP 方法来确定标准的充分敏感重要性级别。使用分辨率为 10 米的 DEM 来确定高度和坡度特征,数字地质和土壤图,CORINE 土地利用/土地覆盖,长期气象数据以及从研究区采集的 4517 个土壤样本。结果表明,约 30.7%的总面积(59921.8 公顷)在 S1 和 S2 级别上非常适合和适合潜在农业活动,42.7%的区域不适合农业用途,只有 27%的区域勉强适合农业活动。此外,还有 34.8%的区域适宜程度较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/ad610c8e7bc3/41598_2020_79105_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/16885a31a5a7/41598_2020_79105_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/925fa2fe2bb0/41598_2020_79105_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/c89aeb5491b0/41598_2020_79105_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/8f76979bee0a/41598_2020_79105_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/ad610c8e7bc3/41598_2020_79105_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/16885a31a5a7/41598_2020_79105_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/925fa2fe2bb0/41598_2020_79105_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/c89aeb5491b0/41598_2020_79105_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/8f76979bee0a/41598_2020_79105_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e7/7744537/ad610c8e7bc3/41598_2020_79105_Fig5_HTML.jpg

相似文献

1
Site suitability analysis for potential agricultural land with spatial fuzzy multi-criteria decision analysis in regional scale under semi-arid terrestrial ecosystem.基于空间模糊多准则决策分析的半干旱陆地生态系统下区域尺度潜在农业用地适宜性分析
Sci Rep. 2020 Dec 16;10(1):22074. doi: 10.1038/s41598-020-79105-4.
2
Applying fuzzy inference system and analytic network process based on GIS to determine land suitability potential for agricultural.基于地理信息系统应用模糊推理系统和网络层次分析法确定农业用地适宜性潜力。
Environ Monit Assess. 2022 Oct;194(10):712. doi: 10.1007/s10661-022-10327-x. Epub 2022 Aug 30.
3
Combined Fuzzy AHP-GIS for Agricultural Land Suitability Modeling for a Watershed in Southern Iran.基于模糊层次分析法和 GIS 的伊朗南部流域农用地适宜性建模
Environ Manage. 2020 Sep;66(3):364-376. doi: 10.1007/s00267-020-01310-8. Epub 2020 Jun 13.
4
Geographic information system-assisted site quality assessment for hazelnut cultivation using multi-criteria decision analysis in the Black Sea region, Turkey.利用多准则决策分析在土耳其黑海地区进行地理信息系统辅助的榛子种植场地质量评估
Environ Sci Pollut Res Int. 2022 May;29(24):35908-35933. doi: 10.1007/s11356-021-18127-5. Epub 2022 Jan 21.
5
Geo environmental green growth towards sustainable development in semi-arid regions using physicochemical and geospatial approaches.运用物理化学和地理空间方法实现半干旱地区可持续发展的地理环境绿色增长。
Environ Sci Pollut Res Int. 2024 Sep;31(41):54089-54106. doi: 10.1007/s11356-022-24588-z. Epub 2022 Dec 7.
6
Agricultural land suitability assessment for agricultural productivity based on GIS modeling and multi-criteria decision analysis: the case of Tekirdağ province.基于 GIS 建模和多准则决策分析的农业生产力农业土地适宜性评估:以泰基尔达省为例。
Environ Monit Assess. 2021 Dec 22;194(1):41. doi: 10.1007/s10661-021-09663-1.
7
Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey.土耳其西北部基于多准则决策方法的农业用地适宜性测定
Int J Environ Sci Technol (Tehran). 2021;18(5):1073-1088. doi: 10.1007/s13762-020-02869-9. Epub 2020 Aug 6.
8
Land suitability assessment for wheat-barley cultivation in a semi-arid region of Eastern Anatolia in Turkey.土耳其东安纳托利亚半干旱地区小麦-大麦种植的土地适宜性评估。
PeerJ. 2023 Oct 31;11:e16396. doi: 10.7717/peerj.16396. eCollection 2023.
9
Combination of fuzzy-AHP and GIS techniques in land suitability assessment for wheat () cultivation.模糊层次分析法与地理信息系统技术相结合在小麦种植土地适宜性评价中的应用
Saudi J Biol Sci. 2022 Apr;29(4):2634-2644. doi: 10.1016/j.sjbs.2021.12.050. Epub 2021 Dec 23.
10
Land Suitability Assessment for Pistachio Cultivation Using GIS and Multi-Criteria Decision-Making: A Case Study of Mardin, Turkey.基于 GIS 和多准则决策的油用巴旦杏种植土地适宜性评价:以土耳其马尔丁为例。
Environ Monit Assess. 2023 Oct 12;195(11):1300. doi: 10.1007/s10661-023-11899-y.

引用本文的文献

1
Enhancing land suitability assessment through integration of AHP and GIS-based for efficient agricultural planning in arid regions.通过整合层次分析法(AHP)和基于地理信息系统(GIS)的方法来加强土地适宜性评估,以实现干旱地区高效的农业规划。
Sci Rep. 2025 Aug 26;15(1):31370. doi: 10.1038/s41598-025-14051-7.
2
Suitability prediction of potential arable land in southeast coastal area of China.中国东南沿海地区潜在耕地适宜性预测
Sci Rep. 2025 Jul 16;15(1):25814. doi: 10.1038/s41598-025-09854-7.
3
Ground-truthed and high-resolution drone images of the leafy spurge weed plant (Euphorbia esula).

本文引用的文献

1
A new method for soil health assessment based on Analytic Hierarchy Process and meta-analysis.基于层次分析法和荟萃分析的土壤健康评估新方法。
Sci Total Environ. 2019 Feb 10;650(Pt 2):2771-2777. doi: 10.1016/j.scitotenv.2018.10.049. Epub 2018 Oct 5.
2
Occupational stress among nurses and pre-hospital emergency staff: application of fuzzy analytic hierarchy process (FAHP) method.护士和院前急救人员的职业压力:模糊层次分析法(FAHP)的应用
EXCLI J. 2018 Aug 20;17:808-824. doi: 10.17179/excli2018-1505. eCollection 2018.
3
Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach.
乳浆大戟杂草植株(乳浆大戟)的地面实况和高分辨率无人机图像。
Sci Data. 2025 May 6;12(1):746. doi: 10.1038/s41597-025-05094-6.
4
Soil quality indicator-based land productivity modelling for agricultural sustainability.基于土壤质量指标的土地生产力建模以实现农业可持续发展。
PLoS One. 2025 Jan 15;20(1):e0316840. doi: 10.1371/journal.pone.0316840. eCollection 2025.
5
Assessing habitat selection parameters of Arabica coffee using BWM and BCM methods based on GIS.基于地理信息系统(GIS),运用最佳-最差法(BWM)和生物气候模型(BCM)评估阿拉比卡咖啡的栖息地选择参数。
Sci Rep. 2025 Jan 2;15(1):8. doi: 10.1038/s41598-024-84073-0.
6
Maximising ecological value and assessing land suitability for sustainable grassland management in Asia's largest tropical grassland, Western India.在印度西部这片亚洲最大的热带草原上,实现生态价值最大化并评估土地适宜性以进行可持续草地管理。
Sci Rep. 2024 Jun 13;14(1):13658. doi: 10.1038/s41598-024-62775-9.
7
Multivariate analysis and GIS approaches for modeling and mapping soil quality and land suitability in arid zones.用于干旱地区土壤质量建模与制图以及土地适宜性建模与制图的多变量分析和地理信息系统方法。
Heliyon. 2024 Mar 4;10(5):e27577. doi: 10.1016/j.heliyon.2024.e27577. eCollection 2024 Mar 15.
8
Spatial Assessment of Land Suitability Potential for Agriculture in Nigeria.尼日利亚农业土地适宜性潜力的空间评估
Foods. 2024 Feb 14;13(4):568. doi: 10.3390/foods13040568.
9
Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco.利用来自中分辨率成像光谱仪(MODIS)时间序列数据的物候信息绘制半干旱地区土壤适宜性图:以摩洛哥胡里卜盖为例
Heliyon. 2024 Jan 8;10(2):e24101. doi: 10.1016/j.heliyon.2024.e24101. eCollection 2024 Jan 30.
10
Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning.基于半监督学习的遥感数据多作物同步适宜性预测。
Sci Rep. 2023 Apr 26;13(1):6823. doi: 10.1038/s41598-023-33840-6.
土地退化和荒漠化监测指标的评估与选择:方法学途径
Environ Manage. 2014 Nov;54(5):951-70. doi: 10.1007/s00267-013-0109-6.