草地学报

草地学报 ›› 2025, Vol. 33 ›› Issue (9): 3034-3043.DOI: 10.11733/j.issn.1007-0435.2025.09.027

• 研究论文 • 上一篇    下一篇

山东省草地资源空间分布特征研究

秦乃花1, 张金芝1, 张园利2, 王先知1, 赵迎子1, 罗军伟1, 吕常笑1, 高兴云1, 路平1, 王晶1, 安国强1, 魏颖3, 赵庆杰4   

  1. 1. 山东省国土空间规划院, 山东 济南 250014;
    2. 济南泉森绿化设计有限公司, 山东 济南 250101;
    3. 山东元一科技发展有限公司, 山东 济南 250101;
    4. 西北农林科技大学风景园林艺术学院, 陕西 杨凌 712000
  • 收稿日期:2024-09-06 修回日期:2024-12-12 出版日期:2025-09-15 发布日期:2025-09-22
  • 通讯作者: 张金芝，E-mail：1337764544@qq.com
  • 作者简介:秦乃花（1982-），女，汉族，山东淄博人，高级工程师，硕士，主要从事林草资源调查和保护、国土空间专项规划研究，E-mail：qinnh926@163.com
  • 基金资助:
    山东省财政资金项目（37000023P12000410123P）资助

Study on Spatial Distribution Characteristics of Grassland Resources in Shandong Province

QIN Nai-hua1, ZHANG Jin-zhi1, ZHANG Yuan-li2, WANG Xian-zhi1, ZHAO Ying-zi1, LUO Jun-wei1, LYU Chang-xiao1, GAO Xing-yun1, LU Ping1, WANG Jing1, AN Guo-qiang1, WEI Ying3, ZHAO Qing-jie4   

  1. 1. Shandong Provincial Institute of Land and Spatial Planning, Ji'nan, Shandong Province 250104, China;
    2. Jinan Quansen Green Design Co., LTD, Ji'nan, Shandong Province 250101, China;
    3. Shandong Yuanyi Technology Development Co., LTD, Ji'nan, Shandong Province 250101, China;
    4. College of Landscape Architecture and Arts, Northwest A&F University, Yangling, Shanxi Province 712000, China
  • Received:2024-09-06 Revised:2024-12-12 Online:2025-09-15 Published:2025-09-22

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摘要： 为掌握山东省草地资源空间分布特征及动态变化，本研究基于“二调”和“三调”、林草生态综合监测评价数据、遥感影像和经济因子，结合动态变化度、地学信息图谱和相关性分析，利用ArcGIS 10.8评估草地面积梯度分布、类型组成和转化规律。结果表明山东省草地面积2.35×105 hm2，以低地草甸类和暖性草丛类为主，集中分布在黄河三角洲和丘陵地区。2009—2019年全省草地面积总体减少，仅鲁北滨海黄河三角洲因盐碱地治理增加。草地流入主要源于其他土地和建设用地，流出多转为林地和耕地。相关性分析显示草地面积与第一、第三产业、人均GDP及林业产值呈显著负相关（P<0.05），研究表明，经济发展导致草地面积减少。近10年鲁北滨海黄河三角洲其他土地流入草地面积最多，预测该区域草地面积将随盐碱地治理有所增加。本研究为山东省草地资源保护利用及生态文明建设提供了管理决策支撑。

关键词: 山东省, 草地资源, 草地分布, 动态变化度, 地学信息图谱

Abstract: To comprehend the spatial distribution characteristics of grassland resources and their dynamic changes in Shandong Province， this study fully relied on the results of he the second national land survey， the third national land survey， the forest and grassland ecological integrated monitoring and evaluation data， remote sensing images and economic factors， which have been combined with the dynamic degree of change， the geo-information atlas and the correlation analysis， and the use of ArcGIS 10.8 to assess the gradient distribution of the grassland area， the composition of the type and the transformation law. The results showed that： grassland in Shandong Province covers an area of 2.35×105 hm2， dominated by lowland meadow and warm grassland types， and concentrated in the Yellow River delta and the hilly areas.The grassland of Shandong Province decreased in general from 2009 to 2019， and only the Yellow River delta area in northern Shandong Province increased due to saline and alkaline land management. The inflow of grassland mainly originated from other lands and construction land， and the outflow was mostly converted to forest land and cultivated land. Correlation analysis showed that the area of grassland was significantly negatively correlated with the primary and tertiary industries， per capita GDP and forestry output value （P<0.05）， and the study showed that economic development led to a decrease in grassland area. During the past 10 years， the Yellow River delta area in northern Shandong Province has had the largest percentage of other lands into grassland area， and we predict that its grassland area will increase with the treatment of saline land.. This study provided management decision support for grassland resources protection and utilization and ecological civilization construction in Shandong Province.

Key words: Shandong Province, Grassland resources, Grassland distribution, Dynamic variation degree, Geo-information atlas

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