[1]郑禹.莆田市1998—2018年植被覆盖变化分析[J].江苏林业科技,2022,49(04):8-11.[doi:10.3969/j.issn.1001-7380.2022.04.002]
　Zheng Yu.Analysis on the change trend of vegetation cover in Putian City from 1998 to 2018[J].Journal of Jiangsu Forestry Science &Technology,2022,49(04):8-11.[doi:10.3969/j.issn.1001-7380.2022.04.002]
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莆田市1998—2018年植被覆盖变化分析()
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《江苏林业科技》[ISSN:1001-7380/CN:32-1236/S]

卷:
第49卷
期数:
2022年04期
页码:
8-11
栏目:
试验研究
出版日期:
2022-08-31

文章信息/Info

Title:
Analysis on the change trend of vegetation cover in Putian City from 1998 to 2018
文章编号:
1001-7380（2022）04-0008-04
作者:
郑禹
莆田市环境监测站，福建 莆田 351100
Author(s):
Zheng Yu
Putian Environmental Monitoring Station，Putian 351100，China
关键词:
植被覆盖; 归一化植被指数; 时空分布特征; 莆田市
Keywords:
Vegetation cover; Normalized difference vegetation index (NDVI); Spatio-temporal characteristic; Putian City
分类号:
F301.24；S157.1
DOI:
10.3969/j.issn.1001-7380.2022.04.002
文献标志码:
A
摘要:
为了探明莆田市植被覆盖变化的空间分布特征，基于最大值合成法生成的植被覆盖指数(SPOT/VEGETATION NDVI)数据集，结合土地利用遥感监测数据，采用一元线性回归分析、Theil-Sen median趋势分析和Mann-Kendall显著性检验耦合的方法，系统地分析了莆田市1998—2018年21 a来植被覆盖的时空变化情况。结果表明：（1）莆田市植被覆盖及其变化趋势存在明显的城乡二元结构空间分布特征，植被覆盖指数值高且显著改善的区域主要分布在西北山区，而植被指数值低且显著退化的区域主要分布在东南城区；（2）植被覆盖指数提高的区域占研究区总面积的72.6%，而植被覆盖指数值降低的区域占研究区总面积的27.4%，各种变化类型占研究区总面积的比例由大到小依次为显著改善（64.9%）＞显著退化（18.7%）＞轻微退化（9.2%）＞轻微改善（7.2%）；（3）90%以上的林地植被覆盖状况得到了显著的改善，其显著改善的面积占研究区总面积的43.6%；耕地和建设用地是植被覆盖显著退化的主要景观类型，2者合计显著退化的面积占研究区总面积的16.6%。
Abstract:
To find out the spatio-temporal characteristics of vegetation cover in Putian City, with the vegetation cover index dataset (1998—2018) generated from the SPOT/VEGETATION NDVI based on the method of the maximum value synthesis, and the remote sensing monitoring data of the land use and land cover, we employed the coupling method of the univariate linear regression, Theil-Sen median trend analysis and Mann-Kendall test to analyze the spatio-temporal distribution of the vegetation cover. The results showed that: (1) there were obvious spatial distribution characteristics of urban-rural dual structure in vegetaion coverage and its change trend in Putian City. The areas with high vegetation coverage index values and significant improvements were mainly distributed in the northwest mountainous area, while areas with low vegetation index values and significant degradation were mainly distributed in the southeast urban areas; (2) the areas with improved vegetation coverage index accounted for 72.6% of the study area, while the area with decreased vegetation coverage index value accounted for 27.4%. The proportion of various types of change ranked, from large to small, as significantly improved (64.9%), significantly degraded (18.7%), slightly degraded (9.2%), and slightly improved (7.2%); (3) more than 90% of the forestland cover was improved, its significantly improved area accounted for 43.6% of the total study area. The cultivated land and the construction land were the main landscape types with significantly degraded vegetation cover, which accounted for 16.6% of the total study area.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2022-05-29;修回日期：2022-06-28
作者简介：郑禹 (1989- )，男，福建莆田人，工程师，大学本科毕业。主要研究方向为环境监测。Tel：15080356090。
更新日期/Last Update: 2022-10-19