International Journal of Environmental Research and Public Health

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Dr. Linlin Cui

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Guest Editor

1. College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China
2. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: wetland evolution; remote sensing of wetland; assessment of wetland protection

Dr. Lijuan Li‬‬‬‬

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Guest Editor

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: coastal wetland ecosystem; ecosystem stability; remote sensing

Special Issue Information

Dear Colleagues,

As the transition zone of water and land ecosystems, wetlands, together with forests and oceans, are the three major ecosystems on earth, with a variety of important ecological functions such as biodiversity maintenance, carbon sequestration, water containment, etc., and play an important role in maintaining national and regional ecological security and promoting sustainable social and economic development. However, due to the dual influence of natural environmental changes such as climate change, sea level rise and human activities such as wetland protection and restoration and resource exploitation, wetland ecosystems are evolving dramatically and the spatial development pattern of evolution is extremely uneven, with both areas of wetlands undergoing severe degradation and areas of wetland ecological restoration. The dynamic evolution of wetlands will have a large impact on hydrology, biogeochemical cycles, ecological components, structure, function and diversity, and ecological environment. Therefore, this Special Issue aims to invite and share new concepts, methods and discoveries in this specialized field.

Dr. Linlin Cui
Dr. Lijuan Li‬‬‬‬
Guest Editors

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Keywords

remote sensing monitoring of wetlands
wetland degradation
wetland restoration
ecosystem services
impacts of climate change and human activities on wetlands
ecological and environmental effects of wetland evolution

Published Papers (2 papers)

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Research

21 pages, 5749 KiB

Open AccessArticle

Comparison and Analysis of Detection Methods for Typhoon-Storm Surges Based on Tide-Gauge Data—Taking Coasts of China as Examples

by Peipei Ma and Guosheng Li

Int. J. Environ. Res. Public Health 2023, 20(4), 3253; https://doi.org/10.3390/ijerph20043253 - 13 Feb 2023

Viewed by 1343

Abstract

Global warming is predicted to lead to a new geographic and spatial distribution of storm-surge events and an increase in their activity intensity. Therefore, it is necessary to detect storm-surge events in order to reveal temporal and spatial variations in their activity intensity. This study attempted to detect storm-surge events from the perspective of detecting outliers. Four common outlier-detection methods, the Pauta criterion (PC), Chauvenet criterion (CC), Pareto distribution (PD) and kurtosis coefficient (KC), were used to detect the storm-surge events from the hourly residual water level data of 14 tide gauges along the coasts of China. This paper evaluates the comprehensive ability of the four methods to detect storm-surge events by combining historical typhoon-storm-surge events and deep-learning target-detection-evaluation indicators. The results indicate that (1) all of the four methods are feasible for detecting storm surge events; (2) the PC has the highest comprehensive detection ability for storm-surge events (F1 = 0.66), making it the most suitable for typhoon-storm-surge detection in coastal areas of China; the CC has the highest detection accuracy for typhoon-storm-surge events (precision = 0.89), although the recall of the CC is the lowest (recall = 0.42), as only severe storm surges were detected. This paper therefore evaluates four storm-surge-detection methods in coastal areas of China and provides a basis for the evaluation of storm-surge-detection methods and detection algorithms. Full article

(This article belongs to the Special Issue The Response of Ecosystem to Wetland Evolution)

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18 pages, 2975 KiB

Open AccessArticle

Biodiversity and Spatiotemporal Distribution of Spontaneous Vegetation in Tangdao Bay National Wetland Park, Qingdao City, China

by Yue Xu, Xuliang Zhang, Xiujun Liu and Zhaohui Zhang

Int. J. Environ. Res. Public Health 2022, 19(18), 11665; https://doi.org/10.3390/ijerph191811665 - 16 Sep 2022

Cited by 3 | Viewed by 1594

Abstract

Spontaneous vegetation plays an important role in protecting urban biodiversity and the maintenance of urban ecosystems. In this study, we investigated the species diversity, life-form composition, origin, flowering season, and spatiotemporal distribution of spontaneous vegetation in the exhibition and education area of Tangdao Bay National Wetland Park using the quadrat survey method. There were 65 spontaneous association types and 210 spontaneous plant species, belonging to 151 genera and 44 families. The associations and species of spontaneous plants in roadside habitats were found to be the highest. In addition, many species were found in woodland and lakeside habitats, whereas the lowest number of species were found in coastal habitats. The life-form composition included 76 annual and 94 perennial herb species. These plants were of various origins. There were 160 native, 9 domestically introduced, 2 introduced alien, and 39 invasive alien plant species, which predominantly came from the Americas. A single peak was observed from March to November for the spontaneous plant species that were in their growing season, including those of different life forms and from various sources. The same was true for spontaneous plants in their flowering season. During their growing season, the number of spontaneous plant species was highest during September and, during their flowering season, the number of species was highest in July. From April to September, the Shannon–Wiener diversity index for spontaneous vegetation in the roadside habitat was the highest, followed by those for the woodland and lakeside habitats, and that of the coastline habitat was the lowest. The monthly average Shannon–Wiener diversity index for spontaneous plant associations in the four habitats also varied, with a single peak. The diversity of spontaneous plants and alien invasive plants in Tangdao Bay National Wetland Park is high. The wise use and protection of spontaneous flowering plants with long ornamental seasons can effectively reduce the maintenance costs, resource consumption, and energy requirements of the park. Spontaneous plants should also be managed to reduce the harm from alien invasive plants in the park, and alien invasive plants should be removed from the park during their flowering seasons. Full article

(This article belongs to the Special Issue The Response of Ecosystem to Wetland Evolution)

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