• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

城市公园 FVC 月际分布及动态变化研究。

A study of spatial distribution and dynamic change in monthly FVC of urban parks.

机构信息

School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, China.

Henan Province Engineering Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, China.

出版信息

PLoS One. 2024 Aug 23;19(8):e0308805. doi: 10.1371/journal.pone.0308805. eCollection 2024.

DOI:10.1371/journal.pone.0308805
PMID:39178181
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11343381/
Abstract

The study on the spatial distribution and dynamic change in monthly Fractional Vegetation Cover (FVC) of parks provides a scientific basis for vegetation management and optimization in urban parks. This research focuses on two comprehensive parks located in Xinxiang, China-People's Park and Harmony Park, using multi-spectral Unmanned Aerial Vehicle (UAV) images as the data source and considering monthly periods. Monthly FVC data was obtained using the method of Dimidiate Pixel Model based on the Normalized Difference Vegetation Index (NDVI). The dynamic changes of monthly FVC at regional scale were described through the dynamic changes in the monthly FVC mean and in the FVC areas at various scales, and the dynamic changes in the monthly FVC were analyzed using the coefficient of variation and curve change trends. Furthermore, the dynamic changes in FVC areas at various scales in the parks were analyzed using standard deviation and curve change trends. Subsequently, the differential method was used to analyze the monthly FVC dynamic changes at pixel scale. The results indicate: (1) In terms of the spatial distribution characteristics in monthly FVC of urban parks, both parks exhibit the highest ratio of bare area in January and February. The proportions of FVC for People's Park are 59.17% and 64.46%, while for Harmony Park they are 69.10% and 51.92%, showing the most distinct spatial distribution characteristics. The high and very high coverage areas in each month are mainly distributed on the outskirts of the park, while the medium, medium-low, and low coverage areas are mainly located in the central and middle parts of the park. The overall FVC of the park shows a trend of high coverage on the periphery and low coverage in the center. (2) In the spatial-temporal dynamic change in FVC at regional scale, the average monthly FVC changes exhibit an overall "∩" -shaped pattern. The peak and minimum FVC values for different parks occur at different times. The peak FVC for People's Park appears in August, while for Harmony Park it appears in June, with corresponding FVC values of 0.46 and 0.50, respectively. The minimum FVC for People's Park occurs in February, and for Harmony Park it occurs in January, with FVC values of 0.17 and 0.15, respectively. Among the dynamic change in FVC areas at various scales, the areas of bare and highest-coverage exhibit the greatest fluctuations, with the ascending and descending changes and rates of bare and highest-coverage areas generally showing opposite trends. (3) In terms of the spatial-temporal dynamic changes in FVC at pixel scale in urban parks, overall, FVC shows moderate improvement from February-August, and moderate degradation from January-February and from August-December. The degradation and improvement are primarily slight. The most significant improvement in monthly FVC occurs in March-April, with a predominant type of significant improvement in FVC changes. People's Park and Harmony Park show the most significant degradation in FVC during September-October and October-November, respectively, with a predominant type of significant degradation in FVC changes. During the periods of most significant improvement and degradation in monthly FVC, the spatial distribution of significant improvement and degradation areas primarily occurs in the periphery and middle parts of the parks. FVC in urban parks decreases from January to February and from August to December, while it increases from February to August, with relatively good conditions from June to August. Vegetation optimization should consider: balancing recreational and ecological functions overall, controlling the proportion of bare land, and enhancing the canopy structure of vegetation in low coverage areas or the coverage of hard surfaces; locally increasing the proportion of evergreen plants and moderately increasing planting density. In addition, parks should strengthen management to reduce the impact of flooding and maintain the health of vegetation.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/2aebb17c8e16/pone.0308805.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/1287ff372e35/pone.0308805.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/5f3c270d8841/pone.0308805.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/61c4dd8d708f/pone.0308805.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/4ca556307aea/pone.0308805.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/ddc905c4faf3/pone.0308805.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/21a5315f9ae4/pone.0308805.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/7080b72f29d7/pone.0308805.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/2aebb17c8e16/pone.0308805.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/1287ff372e35/pone.0308805.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/5f3c270d8841/pone.0308805.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/61c4dd8d708f/pone.0308805.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/4ca556307aea/pone.0308805.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/ddc905c4faf3/pone.0308805.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/21a5315f9ae4/pone.0308805.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/7080b72f29d7/pone.0308805.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/205f/11343381/2aebb17c8e16/pone.0308805.g008.jpg
摘要

本研究以中国新乡市的两个综合性公园——人民公园和和谐公园为研究对象,利用多光谱无人机(UAV)图像作为数据源,并考虑到月度周期,研究了公园内月度分数植被覆盖(FVC)的空间分布和动态变化。采用基于归一化植被指数(NDVI)的二分像素模型方法获取月度 FVC 数据。通过月度 FVC 均值和不同尺度 FVC 面积的动态变化,描述了区域尺度上月度 FVC 的动态变化,并通过变异系数和曲线变化趋势分析了月度 FVC 的动态变化。此外,还通过标准差和曲线变化趋势分析了公园内不同尺度 FVC 面积的动态变化。随后,采用差分法分析了像素尺度上的月度 FVC 动态变化。结果表明:(1)在城市公园月度 FVC 的空间分布特征方面,两个公园均表现出 1 月和 2 月裸地比例最高。人民公园的 FVC 比例分别为 59.17%和 64.46%,而和谐公园的 FVC 比例分别为 69.10%和 51.92%,表现出最明显的空间分布特征。各月高和极高覆盖区主要分布在公园的郊区,而中、中低和低覆盖区主要分布在公园的中心和中部。公园的整体 FVC 呈现出外围高覆盖、中心低覆盖的趋势。(2)在区域尺度上 FVC 的时空动态变化方面,平均月度 FVC 变化呈现出整体“∩”形模式。不同公园的 FVC 峰值和最小值出现的时间不同。人民公园的 FVC 峰值出现在 8 月,和谐公园的 FVC 峰值出现在 6 月,对应的 FVC 值分别为 0.46 和 0.50。人民公园的 FVC 最小值出现在 2 月,和谐公园的 FVC 最小值出现在 1 月,对应的 FVC 值分别为 0.17 和 0.15。在不同尺度的 FVC 面积的动态变化中,裸地和最高覆盖面积的波动最大,裸地和最高覆盖面积的上升和下降变化率通常呈现相反的趋势。(3)在城市公园像素尺度上的 FVC 时空动态变化方面,总体而言,FVC 从 2 月到 8 月呈中度改善趋势,从 1 月到 2 月和从 8 月到 12 月呈中度退化趋势。退化和改善主要是轻微的。月度 FVC 的最大改善发生在 3 月至 4 月,FVC 变化的主要类型是显著改善。人民公园和和谐公园的 FVC 在 9 月至 10 月和 10 月至 11 月期间分别表现出最显著的退化,FVC 变化的主要类型是显著退化。在月度 FVC 最大改善和退化期间,显著改善和退化区域的空间分布主要发生在公园的外围和中部。城市公园的 FVC 从 1 月到 2 月和从 8 月到 12 月减少,而从 2 月到 8 月增加,6 月到 8 月的条件相对较好。植被优化应考虑:整体平衡娱乐和生态功能,控制裸地比例,增强低覆盖区或硬表面植被的树冠结构;局部增加常绿植物的比例,适度增加种植密度。此外,公园应加强管理,减少洪水的影响,保持植被的健康。

相似文献

1
A study of spatial distribution and dynamic change in monthly FVC of urban parks.城市公园 FVC 月际分布及动态变化研究。
PLoS One. 2024 Aug 23;19(8):e0308805. doi: 10.1371/journal.pone.0308805. eCollection 2024.
2
Exploring and attributing change to fractional vegetation coverage in the middle and lower reaches of Hanjiang River Basin, China.探讨并归因于中国汉江中、下游流域的分维植被覆盖度变化。
Environ Monit Assess. 2022 Nov 21;195(1):131. doi: 10.1007/s10661-022-10681-w.
3
[Temporal and spatial variations of vegetation coverage in Heilongjiang Basin and its responses to climate change].黑龙江流域植被覆盖度的时空变化及其对气候变化的响应
Ying Yong Sheng Tai Xue Bao. 2024 Jun;35(6):1518-1524. doi: 10.13287/j.1001-9332.202406.027.
4
Habitat quality dynamics in China's first group of national parks in recent four decades: Evidence from land use and land cover changes.近四十年中国首批国家公园的生境质量动态:基于土地利用和土地覆被变化的证据。
J Environ Manage. 2023 Jan 1;325(Pt A):116505. doi: 10.1016/j.jenvman.2022.116505. Epub 2022 Oct 18.
5
Analysis of spatial and temporal changes in human interference in important ecological function areas in China: the Gansu section of Qilian Mountain National Park as an example.中国重要生态功能区人类干扰时空变化分析:以祁连山国家公园甘肃片区为例。
Environ Monit Assess. 2023 Aug 10;195(9):1029. doi: 10.1007/s10661-023-11633-8.
6
[Change characteristics and their causes of fractional vegetation coverage (FVC) in Shaanxi Province].[陕西省植被覆盖度(FVC)变化特征及其成因]
Ying Yong Sheng Tai Xue Bao. 2010 Nov;21(11):2896-903.
7
Ecosystem services: Urban parks under a magnifying glass.生态系统服务:城市公园放大镜下的观察。
Environ Res. 2018 Jan;160:469-478. doi: 10.1016/j.envres.2017.10.023. Epub 2017 Nov 5.
8
[Using the environmental justice approach to evaluate equitable allocation of urban parks: A case study of main urban area of Nanjing, China].[运用环境正义方法评估城市公园的公平分配:以中国南京主城区为例]
Ying Yong Sheng Tai Xue Bao. 2022 Jun;33(6):1589-1598. doi: 10.13287/j.1001-9332.202206.027.
9
Spatio-temporal changes in fractional vegetation cover and the driving forces during 2001-2020 in the northern slopes of the Tianshan Mountains, China.2001-2020 年中国天山北坡植被覆盖度的时空变化及其驱动力
Environ Sci Pollut Res Int. 2023 Jun;30(30):75511-75531. doi: 10.1007/s11356-023-27702-x. Epub 2023 May 24.
10
Monitoring vegetation cover in Chongqing between 2001 and 2010 using remote sensing data.利用遥感数据监测2001年至2010年期间重庆的植被覆盖情况。
Environ Monit Assess. 2017 Sep 8;189(10):493. doi: 10.1007/s10661-017-6210-1.

本文引用的文献

1
Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE.基于 GEE 的山东省植被覆盖度时空变化及其影响因素分析。
Environ Monit Assess. 2023 Aug 7;195(9):1023. doi: 10.1007/s10661-023-11650-7.
2
Spatio-temporal changes in fractional vegetation cover and the driving forces during 2001-2020 in the northern slopes of the Tianshan Mountains, China.2001-2020 年中国天山北坡植被覆盖度的时空变化及其驱动力
Environ Sci Pollut Res Int. 2023 Jun;30(30):75511-75531. doi: 10.1007/s11356-023-27702-x. Epub 2023 May 24.
3
Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review.
利用纯植被指数值估算植被覆盖度的遥感算法综述
ISPRS J Photogramm Remote Sens. 2020 Jan;159:364-377. doi: 10.1016/j.isprsjprs.2019.11.018.
4
Spatio-temporal monitoring of marsh vegetation phenology and its response to hydro-meteorological factors using CCDC algorithm with optical and SAR images: In case of Honghe National Nature Reserve, China.利用光学和 SAR 图像的 CCDC 算法对湿地植被物候及其对水气象因子的时空监测:以中国红河国家级自然保护区为例。
Sci Total Environ. 2022 Oct 15;843:156990. doi: 10.1016/j.scitotenv.2022.156990. Epub 2022 Jun 25.
5
A remote sensing study of spatiotemporal variations in drought conditions in northern Asir, Saudi Arabia.基于遥感的沙特阿拉伯北部阿西尔地区旱情时空变化研究。
Environ Monit Assess. 2020 Nov 25;192(12):784. doi: 10.1007/s10661-020-08771-8.
6
Urban natural environments as nature-based solutions for improved public health - A systematic review of reviews.城市自然环境作为改善公众健康的基于自然的解决方案——综述的系统评价
Environ Res. 2017 Oct;158:373-384. doi: 10.1016/j.envres.2017.05.040. Epub 2017 Jul 4.
7
Mental health benefits of long-term exposure to residential green and blue spaces: a systematic review.长期接触居住环境中的绿色和蓝色空间对心理健康的益处:一项系统综述
Int J Environ Res Public Health. 2015 Apr 22;12(4):4354-79. doi: 10.3390/ijerph120404354.
8
Would you be happier living in a greener urban area? A fixed-effects analysis of panel data.生活在绿化更好的城市区域会更快乐吗?基于面板数据的固定效应分析。
Psychol Sci. 2013 Jun;24(6):920-8. doi: 10.1177/0956797612464659. Epub 2013 Apr 23.
9
High plant diversity is needed to maintain ecosystem services.高植物多样性是维持生态系统服务所必需的。
Nature. 2011 Aug 10;477(7363):199-202. doi: 10.1038/nature10282.