首页> 外文期刊>The Science of the Total Environment >Spatiotemporal variation characteristics of green space ecosystem service value at urban fringes: A case study on Ganjingzi District in Dalian, China
【24h】

Spatiotemporal variation characteristics of green space ecosystem service value at urban fringes: A case study on Ganjingzi District in Dalian, China

机译:城市边缘绿地生态系统服务价值的时空变化特征-以大连市甘井子区为例

获取原文
获取原文并翻译 | 示例
       

摘要

In this study, a green space classification system for urban fringes was established based on multisource land use data from Ganjingzi District, China (2000-2015). The purpose of this study was to explore the spatiotemporal variation of green space landscapes and ecosystem service values (ESV). During 2006-2015, as urbanization advanced rapidly, the green space area decreased significantly (359.57 to 213.46 km(2)), the ESV decreased from 397.42 to 124.93 million yuan, and the dynamic degrees of ESV variation were always 0. The green space large plaque index and class area both declined and the number of plaques and plaque density increased, indicating green space landscape fragmentation. The dynamic degrees of ESV variation in western and northern regions (with relatively intensive green space distributions) were higher than in the east. The ESV for closed forestland and sparse woodland had the highest functional values of ecological regulation and support, whereas dry land and irrigated cropland provided the highest functional values of production supply. The findings of this study are expected to provide support for better construction practices in Dalian and for the improvement of the ecological environment. (C) 2018 Elsevier B.V. All rights reserved.
机译:本研究基于中国甘井子区(2000-2015)的多源土地利用数据,建立了城市边缘绿地分类系统。这项研究的目的是探讨绿色空间景观和生态系统服务价值(ESV)的时空变化。在2006年至2015年期间,随着城市化的快速发展,绿地面积显着减少(359.57到213.46 km(2)),ESV从397.42减少到124.93百万元,ESV变化的动态度始终<0。空间大斑块指数和类面积均下降,斑块数量和斑块密度增加,表明绿地景观破碎化。西部和北部地区(绿地分布相对密集)的ESV变化的动态程度高于东部。封闭林地和稀疏林地的ESV具有最高的生态调节和支持功能价值,而旱地和灌溉农田提供的生产供应功能价值最高。这项研究的结果有望为大连更好的建筑实践和生态环境的改善提供支持。 (C)2018 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号