2000—2018年深圳市植被覆盖动态变化与预测

doi:10.13287/j.1001-9332.202011.012

应用生态学报 ›› 2020, Vol. 31 ›› Issue (11): 3777-3785.doi: 10.13287/j.1001-9332.202011.012

2000—2018年深圳市植被覆盖动态变化与预测

吴炳伦^1,2,3, 孙华^1,2,3*, 石军南^1,2,3, 张雨田^1,2,3, 石灵杰^1,2,3

¹中南林业科技大学林业遥感信息工程研究中心, 长沙 410004;
²林业遥感大数据与生态安全湖南省重点实验室, 长沙 410004;
³南方森林资源经营与监测国家林业与草原局重点实验室, 长沙 410004

收稿日期:2020-04-27 接受日期:2020-08-20 出版日期:2020-11-15 发布日期:2021-06-10
通讯作者: * E-mail: sunhua@csuft.edu.cn
作者简介:吴炳伦, 男, 1995年生, 硕士研究生。主要从事森林资源动态监测研究。E-mail: williamhan213@gmail.com
基金资助:
湖南省教育厅重点项目(17A225)、国家公益性行业专项(201304215)和湖南省高校青年骨干教师培养项目(70702-20190001)资助

Dynamic change and prediction of vegetation cover in Shenzhen, China from 2000 to 2018

WU Bing-lun^1,2,3, SUN Hua^1,2,3*, SHI Jun-nan^1,2,3, ZHANG Yu-tian^1,2,3, SHI Ling-jie^1,2,3

¹Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China;
²Hunan Province Key Laboratory of Forestry Remote Sensing Based Big Data & Ecological Security, Changsha 410004, China;
³Key Laboratory of National Forestry & Grassland Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China

Received:2020-04-27 Accepted:2020-08-20 Online:2020-11-15 Published:2021-06-10
Contact: * E-mail: sunhua@csuft.edu.cn
Supported by:
the Key Scientific Research Fund of Hunan Provincial Education Department (17A225), the Special Fund for Research in the Public Interest (201304215), and the Training Fund of Young Professors from Hunan Provincial Education Department (70702-20190001).

摘要/Abstract

摘要： 采用Landsat系列多时相影像数据,以像元二分法估算植被覆盖度,运用线性回归分析、重心迁移等方法来探究深圳市2000—2018年植被覆盖的时空变化特征,并结合CA-Markov模型对深圳市未来土地覆盖情况进行预测。结果表明: 2000—2018年,深圳市植被覆盖呈明显的地域分异特征,在区域上表现为东部大于西部、南部大于北部,此分异特征与区域地形效应具有良好的一致性。植被覆盖度重心的空间迁移特征为西北-东南-西北,迁移速率为551.2 m·a^-1,此进程与深圳市城市化进程密切相关。2000—2018年间,深圳市植被覆盖度总体呈改善趋势,改善速率为0.005·a^-1,其中,植被覆盖度显著改善和退化的面积比例分别为30.8%和12.8%。采用CA-Markov方法分理论、自然两种情景对深圳市2024年土地覆盖/利用类型进行预测,两种预测方法所得土地覆盖/利用类型的面积所占比例之间没有显著差异,其差异阈值在0~1.2%。与2018年之前相比,2024年深圳市乔木林、耕地等转化为建设用地的比例将明显减少,但供需矛盾仍然紧张。

关键词: 植被覆盖度, 重心迁移, CA-Markov模型, 预测, 深圳市

Abstract: With landsat-series multi-temporal image data, percentage of vegetation cover (PVC) was estimated by pixel dichotomy. The linear regression analysis and center of gravity migration methods were used to explore the characteristics of the spatiotemporal changes of vegetation cover in Shenzhen from 2000 to 2018. The CA-Markov model was combined to predict future land cover in Shenzhen. The results showed that the PVC in Shenzhen demonstrated obvious regional differentiation characteristics from 2000 to 2018. The eastern region occupied larger proportion than the wes-tern part, while the southern region was larger than the north part. This feature exhibited good consistency with regional topographic effect. The spatial migration characteristic of the center of gravity of PVC was from northwest to southeast, and then from southeast to northwest, with a migration rate of 551.2 m·a^-1. This process was closely related to urbanization in Shenzhen. The PVC in Shen-zhen tended to be generally improved from 2000-2018, with a improvement rate of 0.005·a^-1. The percentage of significantly improved and degraded PVC area was 30.8% and 12.8%, respectively. The CA-Markov method was used to predict the land cover/use pattern of Shenzhen in 2024 under two scenarios, theoretical scenario and natural scenario. There was no significant difference in proportion of the area of the land cover/use patterns obtained by the two kinds of prediction method, with the difference threshold being 0-1.2%. Compared with the data before 2018, the proportion of arbor forests and arable land converted into construction land in Shenzhen would be significantly reduced in 2024, whereas the contradiction between supply and demand would be still tense.

Key words: percentage of vegetation cover, center of gravity change, CA-Markov model, prediction, Shenzhen City

吴炳伦, 孙华, 石军南, 张雨田, 石灵杰. 2000—2018年深圳市植被覆盖动态变化与预测[J]. 应用生态学报, 2020, 31(11): 3777-3785.

WU Bing-lun, SUN Hua, SHI Jun-nan, ZHANG Yu-tian, SHI Ling-jie. Dynamic change and prediction of vegetation cover in Shenzhen, China from 2000 to 2018[J]. Chinese Journal of Applied Ecology, 2020, 31(11): 3777-3785.

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2000—2018年深圳市植被覆盖动态变化与预测

Dynamic change and prediction of vegetation cover in Shenzhen, China from 2000 to 2018

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