Ecological risk assessment of the wetlands in Beijing-Tianjin-Hebei urban agglomeration

Li, Zhuo; Jiang, Weiguo; Wang, Wenjie; Chen, Zheng; Ling, Ziyan; Lv, Jinxia

doi:10.1016/j.ecolind.2020.106677

Cited by 81 publications

(44 citation statements)

References 54 publications

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“…Wetlands provide important ecological functions such as water source protection, water purification, flood storage and drought prevention, climate regulation, and biodiversity maintenance [1]. Over the past few centuries, many wetlands have suffered serious damage from a combination of disturbance from human activities and the vulnerability of wetlands [2]- [6]. Research has shown that Asia has experienced the greatest wetland loss, although the most serious situation for wetlands is in Europe [7].…”

Section: Introductionmentioning

confidence: 99%

“…ERA is important for wetland management, protection and decision-making, as it evaluates the vulnerability for wetland ecosystem damage (or impacts) from environmental conditions, accidents or disasters [2]. Landscape ecological risk assessment (LERA) is an important branch of the ERA at the regional scale.…”

Section: Introductionmentioning

confidence: 99%

“…The former is mainly applicable to assessment targets with clear risk factors to the regional ecological safety of the area, while the latter directly assesses landscape ecological risks using spatial patterns at a regional scale [15], [16]. For (2), research on LERA using land use/land cover (LULC) data is currently popular. Such studies analyze the spatio-temporal distribution of landscape ecological risk in wetlands and its evolution.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland

Wu¹,

Zhan²,

Cheng³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland

Wu¹,

Zhan²,

Cheng³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…• 07 E), the largest lake-type wetland in the Beijing-Tianjin-Hebei urban agglomeration, is located in the central part of the Hebei Province, China, and the administrative region belongs to the Xiong'an New Area in Baoding [30]. Baiyangdian Lake is the most important water function area for maintaining the ecological balance in the Xiong'an New Area [31]. It is a large plain flood depression in the middle reaches of the Daqing River system in the Haihe Basin.…”

Section: Study Areamentioning

confidence: 99%

Surface Water Extraction and Dynamic Analysis of Baiyangdian Lake Based on the Google Earth Engine Platform Using Sentinel-1 for Reporting SDG 6.6.1 Indicators

Jiang

Ling

et al. 2021

Water

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Surface water is an essential element that supports natural ecosystem health and human life, and its losses or gains are closely related to national or local sustainable development. Monitoring the spatial-temporal changes in surface water can directly support the reporting of progress towards the sustainable development goals (SDGs) outlined by the government, especially for measuring SDG 6.6.1 indicators. In our study, we focused on Baiyangdian Lake, an important lake in North China, and explored its spatiotemporal extent changes from 2014 to 2020. Using long-term Sentinel-1 SAR images and the OTSU algorithm, our study developed an automatic water extraction framework to monitor surface water changes in Baiyangdian Lake at a 10 m resolution from 2014 to 2020 on the Google Earth Engine cloud platform. The results showed that (1) the water extraction accuracy in our study was considered good, showing high consistency with the existing dataset. In addition, it was found that the classification accuracy in spring, summer, and fall was better than that in winter. (2) From 2014 to 2020, the surface water area of Baiyangdian Lake exhibited a slowly rising trend, with an average water area of 97.03 km2. In terms of seasonal variation, the seasonal water area changed significantly. The water areas in spring and winter were larger than those in summer and fall. (3) Spatially, most of the water was distributed in the eastern part of Baiyangdian Lake, which accounted for roughly 57% of the total water area. The permanent water area, temporary water area, and non-water area covered 49.69 km2, 97.77 km2, and 171.55 km2, respectively. Our study monitored changes in the spatial extent of the surface water of Baiyangdian Lake, provides useful information for the sustainable development of the Xiong’an New Area and directly reports the status of SDG 6.6.1 indicators over time.

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“…Such a development would exert tremendous pressure on the natural environment across urban areas in the world as large areas transform to impervious surfaces. Studies have shown that rapid, uncontrolled, and unplanned urbanization has been impacting the quality of urban ecological environments across the world [17][18][19][20][21][22], including urban wetland ecosystems (UWEs) [23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Impacts of Urbanization on the Muthurajawela Marsh and Negombo Lagoon, Sri Lanka: Implications for Landscape Planning towards a Sustainable Urban Wetland Ecosystem

et al. 2021

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Urban wetland ecosystems (UWEs) play important social and ecological roles but are often adversely affected by urban landscape transformations. Spatio-temporal analyses to gain insights into the trajectories of landscape changes in these ecosystems are needed for better landscape planning towards sustainable UWEs. In this study, we examined the impacts of urbanization on the Muthurajawela Marsh and Negombo Lagoon (MMNL), an important UWE in Sri Lanka that provides valuable ecosystem services. We used remote sensing data to detect changes in the land use/cover (LUC) of the MMNL over a two-decade period (1997–2017) and spatial metrics to characterize changes in landscape composition and configuration. The results revealed that the spatial and socio-economic elements of rapid urbanization of the MMNL had been the main driver of transformation of its natural environment over the past 20 years. This is indicated by a substantial expansion of settlements (+68%) and a considerable decrease of marshland and mangrove cover (−41% and −21%, respectively). A statistical analysis revealed a significant relationship between the change in population density and the loss of wetland due to settlement expansion at the Grama Niladhari division level (n = 99) (where wetland includes marshland, mangrove, and water) (1997–2007: R2 = 0.435, p = 0.000; 2007–2017: R2 = 0.343, p = 0.000). The findings also revealed that most of the observed LUC changes occurred in areas close to roads and growth nodes (viz. Negombo, Ja-Ela, Wattala, and Katana), which resulted in both landscape fragmentation and infill urban expansion. We conclude that, in order to ensure the sustainability of the MMNL, there is an urgent need for forward-looking landscape and urban planning to promote environmentally conscious urban development in the area which is a highly valuable UWE.

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Ecological risk assessment of the wetlands in Beijing-Tianjin-Hebei urban agglomeration

Cited by 81 publications

References 54 publications

A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland

A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland

Surface Water Extraction and Dynamic Analysis of Baiyangdian Lake Based on the Google Earth Engine Platform Using Sentinel-1 for Reporting SDG 6.6.1 Indicators

Impacts of Urbanization on the Muthurajawela Marsh and Negombo Lagoon, Sri Lanka: Implications for Landscape Planning towards a Sustainable Urban Wetland Ecosystem

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