| 注册
首页|期刊导航|西安理工大学学报|杨凌示范区土地利用变化时空特征及趋势预测

杨凌示范区土地利用变化时空特征及趋势预测

郭冰倩 赵选 刘伟国

西安理工大学学报2024,Vol.40Issue(2):173-181,9.
西安理工大学学报2024,Vol.40Issue(2):173-181,9.DOI:10.19322/j.cnki.issn.1006-4710.2024.02.003

杨凌示范区土地利用变化时空特征及趋势预测

Spatio-temporal characteristics and trend prediction of land-use change in Yangling Demonstration Zone

郭冰倩 1赵选 2刘伟国1

作者信息

  • 1. 西北农林科技大学林学院,陕西杨凌 712100
  • 2. 自然资源部第一地理信息制图院(陕西省第六测绘地理信息工程院),陕西西安 710054
  • 折叠

摘要

Abstract

As an agricultural high-tech demonstration city,high-efficient land-use in Yangling Demonstration Zone is the prerequisite for playing an exemplary role of modern agricultural devel-opment.Therefore,the study of current land-use status and existing issues in Yangling Demon-stration Zone could provide a critical reference for the future land-use planning.In this study,the spatial distribution patterns of land-use types in Yangling Demonstration Zone were obtained by analyzing Landsat data in 2000,2010 and 2020.The spatio-temporal characteristics from 2000 to 2020 were analyzed by quantitative indicators,such as land-use information entropy,single dy-namic degree and transfer matrix.The social statistical data from 2000 to 2020 were collected to qualitatively analyze the driving factors of land-use changes.The CA-Markov model was estab-lished to predict the land-use changes in the study area in 2030 and 2040.The results showed that:① the area of cropland in Yangling decreased significantly from 2000 to 2020,with the area of building land and vegetation increasing;② the conversion of land-use types was diverse,and the majority changes were cropland to building land and vegetation.The spatial distribution of landscape types became more balanced,indicating a harmonized development of Yangling;③ the main driving forces of land-use change were population,gross product and overall plan for land use in demonstration zone;④ the land-use changes in the Yangling Demonstration Zone over the next 20 years will be less significant and indicate a stable landscape pattern.

关键词

土地利用/动态分析/CA-Markov模型/驱动因素/杨凌示范区

Key words

land-use/dynamic analysis/CA-Markov model/driving factors/Yangling Demon-stration Zone

分类

信息技术与安全科学

引用本文复制引用

郭冰倩,赵选,刘伟国..杨凌示范区土地利用变化时空特征及趋势预测[J].西安理工大学学报,2024,40(2):173-181,9.

基金项目

国家自然科学基金资助项目(41901247) (41901247)

西安理工大学学报

OA北大核心CSTPCD

1006-4710

访问量0
|
下载量0
段落导航相关论文