• 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

基于滑动窗口的耕地投入强度与产出强度耦合分析

Coupled analysis of arable land input intensity and output intensity based on sliding windows.

作者信息

Jiang Jiayi, Ye Sijing, Gao Peichao, Song Changqing

机构信息

Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.

State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China.

出版信息

MethodsX. 2024 Jul 23;13:102862. doi: 10.1016/j.mex.2024.102862. eCollection 2024 Dec.

DOI:10.1016/j.mex.2024.102862
PMID:39171192
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11338139/
Abstract

Sustainable intensification (SI) of agriculture can produce more food to meet the demand of a growing population while considering ecosystem health. The current SI estimation framework ignores the complex coupling between input and output intensity of arable land. A method for coupled analysis of arable land input intensity and output intensity based on sliding windows is proposed. By calculating the correlation coefficient and partial correlation coefficient between input intensity and output intensity in different value ranges as the order parameter, the phase transition and the influence process of input intensity on output intensity can be explained. Meanwhile, a python-based framework is developed. An application of the method was made to reveal the interaction process between annual provincial input intensity and output intensity in mainland China. Researchers in many fields may benefit from the method by obtaining a fast way to analysis the coupling relationship between driving and dependent variables in complex systems.•New method for SI estimation is presented.•The order parameter of the coupling relationship between input and output intensity is calculated based on sliding windows.•Analysis of coupling relationships between driving and dependent variables in complex systems.

摘要

农业可持续集约化（SI）可以在考虑生态系统健康的同时生产更多粮食，以满足不断增长的人口需求。当前的SI估算框架忽略了耕地投入强度和产出强度之间的复杂耦合关系。提出了一种基于滑动窗口的耕地投入强度与产出强度耦合分析方法。通过计算不同取值范围内投入强度与产出强度之间的相关系数和偏相关系数作为序参量，可解释投入强度的相变及其对产出强度的影响过程。同时，开发了一个基于Python的框架。该方法应用于揭示中国大陆省级年度投入强度与产出强度之间的相互作用过程。许多领域的研究人员可能会受益于该方法，从而获得一种快速分析复杂系统中驱动变量和因变量之间耦合关系的途径。

  • 提出了SI估算的新方法。

  • 基于滑动窗口计算投入强度与产出强度耦合关系的序参量。

  • 分析复杂系统中驱动变量和因变量之间的耦合关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/77746a5dd887/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/f8f1991644e6/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/150b88f0afe4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/94cb318598a4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/59e3855342fb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/319e359f3467/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/ccc51f9c0770/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/77746a5dd887/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/f8f1991644e6/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/150b88f0afe4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/94cb318598a4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/59e3855342fb/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/319e359f3467/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/ccc51f9c0770/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/520e/11338139/77746a5dd887/gr6.jpg

相似文献

1
Coupled analysis of arable land input intensity and output intensity based on sliding windows.基于滑动窗口的耕地投入强度与产出强度耦合分析
MethodsX. 2024 Jul 23;13:102862. doi: 10.1016/j.mex.2024.102862. eCollection 2024 Dec.
2
Food Security and Land Use under Sustainable Development Goals: Insights from Food Supply to Demand Side and Limited Arable Land in China.可持续发展目标下的粮食安全与土地利用：中国从粮食供应到需求端及有限耕地的洞察
Foods. 2023 Nov 18;12(22):4168. doi: 10.3390/foods12224168.
3
China's Land Uses in the Multi-Region Input-Output Framework.中国的多区域投入产出框架中的土地利用。
Int J Environ Res Public Health. 2019 Aug 16;16(16):2940. doi: 10.3390/ijerph16162940.
4
Ecological impacts of arable intensification in Europe.欧洲耕地集约化的生态影响。
J Environ Manage. 2001 Dec;63(4):337-65. doi: 10.1006/jema.2001.0473.
5
Discussing the regional-scale arable land use intensity and environmental risk triggered by the micro-scale rural households' differentiation based on step-by-step evaluation-a case study of Shandong Province, China.基于递进评价探讨微观尺度农户分化引发的区域尺度耕地利用强度与环境风险——以山东省为例。
Environ Sci Pollut Res Int. 2020 Mar;27(8):8271-8284. doi: 10.1007/s11356-019-07537-1. Epub 2020 Jan 3.
6
Spatial Coupling Pattern and Driving Forces of Rural Settlements and Arable Land in Alpine Canyon Region of the Maoxian County, China.中国茂县高山峡谷区农村居民点与耕地的空间耦合模式及驱动力
Int J Environ Res Public Health. 2023 Feb 28;20(5):4312. doi: 10.3390/ijerph20054312.
7
Study on the variation of arable land use and management countermeasures under rapid urbanization: the application of a gravity model in a regional perspective.快速城市化下耕地利用变化及管理对策研究——基于区域视角的引力模型应用
Environ Monit Assess. 2019 Jan 31;191(2):120. doi: 10.1007/s10661-019-7250-5.
8
Uneven development within China: Implications for interprovincial energy, water and arable land requirements.中国的发展不平衡：对省际间能源、水和耕地需求的影响。
J Environ Manage. 2020 May 1;261:110231. doi: 10.1016/j.jenvman.2020.110231. Epub 2020 Mar 2.
9
Assessing the sustainability of ecosystems over fourteen years of cultivation in Longnan City of China based on emergy analysis method.基于能值分析方法评估中国陇南地区 14 年的生态系统可持续性。
J Environ Manage. 2022 Apr 1;307:114513. doi: 10.1016/j.jenvman.2022.114513. Epub 2022 Jan 25.
10
Nudging Strategies for Arable Land Protection Behavior in China.中国耕地保护行为的推动策略。
Int J Environ Res Public Health. 2022 Oct 2;19(19):12609. doi: 10.3390/ijerph191912609.

本文引用的文献

1
The spatiotemporal variation in heavy metals in China's farmland soil over the past 20 years: A meta-analysis.中国农田土壤重金属时空变化20年回顾：一项荟萃分析
Sci Total Environ. 2022 Feb 1;806(Pt 2):150322. doi: 10.1016/j.scitotenv.2021.150322. Epub 2021 Sep 14.
2
Discussing the regional-scale arable land use intensity and environmental risk triggered by the micro-scale rural households' differentiation based on step-by-step evaluation-a case study of Shandong Province, China.基于递进评价探讨微观尺度农户分化引发的区域尺度耕地利用强度与环境风险——以山东省为例。
Environ Sci Pollut Res Int. 2020 Mar;27(8):8271-8284. doi: 10.1007/s11356-019-07537-1. Epub 2020 Jan 3.
3
Managing nitrogen for sustainable development.
管理氮素以实现可持续发展。
Nature. 2015 Dec 3;528(7580):51-9. doi: 10.1038/nature15743. Epub 2015 Nov 23.
4
Global market integration increases likelihood that a future African Green Revolution could increase crop land use and CO2 emissions.全球市场一体化增加了未来非洲绿色革命可能增加耕地使用和二氧化碳排放的可能性。
Proc Natl Acad Sci U S A. 2014 Sep 23;111(38):13799-804. doi: 10.1073/pnas.1403543111. Epub 2014 Sep 8.
5
Global food demand and the sustainable intensification of agriculture.全球粮食需求与农业可持续集约化发展。
Proc Natl Acad Sci U S A. 2011 Dec 13;108(50):20260-4. doi: 10.1073/pnas.1116437108. Epub 2011 Nov 21.
6
Global food security: challenges and policies.全球粮食安全：挑战与政策
Science. 2003 Dec 12;302(5652):1917-9. doi: 10.1126/science.1092958.