Wetland landscape pattern change and its driving forces in Beijing-Tianjin-Hebei region in recent 30 years

Jinxia, 吕金霞 Lü; Weiguo, 蒋卫国 Jiang; Wenjie, 王文杰 Wang; Kun, 陈坤 Chen; Yue, 邓越 Deng; Zheng, 陈征 Chen; Zhuo, 荔琢 Li

doi:10.5846/stxb201712232309

Cited by 7 publications

(5 citation statements)

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“…In the past 30 years, there has been a gradual shift from a severe decline to a slight increase in the wetland area of the BTHP, while the wetland area as a whole has decreased significantly. The characteristics of this time series shift were consistent with those of the BTH's wetlands [41]. The significant loss of wetlands was more or less an unavoidable consequence of rising global urbanization, especially in China and other developing nations [69,70].…”

Section: Analysis Of Spatial-temporal Change Characteristics Of Wetlandssupporting

confidence: 69%

“…The change of wetlands is often the result of the combined effects of natural and anthropic factors [39]. In our study, based on full consideration of geomorphology and geological condition of the study area, we selected 14 factors of four types, including topography, geology, meteorology, and anthropology, to construct an index evaluation system of wetland change by combining the distribution characteristics of wetlands with previous research [40][41][42][43][44]. The data sources of all factors are shown in Table 1, which are consistent with the wetland data in time and space.…”

Section: Impact Factor Of Wetland Changementioning

confidence: 99%

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The Main Drivers of Wetland Evolution in the Beijing-Tianjin-Hebei Plain

Yang

et al. 2023

Land

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Analysis of the driving mechanism of wetland change can help identify the spatial differences in the mechanisms of different elements in order to better scientifically prevent and utilize wetlands. The Beijing-Tianjin-Hebei Plain (BTHP) was selected as the study area, and the dynamic degree model and change intensity index were utilized to examine the spatial and temporal changes of wetlands based on four periods of land use data. After establishing a wetland change evaluation system that included topography, geology, meteorological, and human activities, we utilized a random forest model to study the driving mechanism of wetland change from 1990–2020. Based on the developed zoning map, we then offered specific protection policies. We have four major findings: (1) the wetlands reduced significantly in the BTHP and underwent a change process from decreasing to increasing, and reservoirs and rivers, particularly along the Bohai Rim, were the primary determinants of wetland changes; (2) the impact of topographic factors such as elevation showed a significant gradient effect, the impact of geological factors such as hydrogeological division was low and indirect, the impact of meteorological factors was nonlinear, and the impact of anthropic factors was most significant and showed clear spatial directivity; (3) the urban expansion and agricultural reclamation had significant dominant effects, coupled with the topographical effects of elevation and slope, the geological environmental effects of surface subsidence and hydrogeological division, and the cumulative effects of temperature and precipitation, which resulted in the spatial change of wetlands; and (4) protecting wetland integrity, dynamic monitoring, restricting human activities, and establishing wetland buffer zones should be applied to the general area, natural factors area, anthropic factors area, and significant comprehensive area, respectively.

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Section: Analysis Of Spatial-temporal Change Characteristics Of Wetlandssupporting

confidence: 69%

Section: Impact Factor Of Wetland Changementioning

confidence: 99%

The Main Drivers of Wetland Evolution in the Beijing-Tianjin-Hebei Plain

Yang

et al. 2023

Land

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“…Additionally, other studies also documented that the development of reservoir projects and the extraction and utilization of groundwater for domestic use and agricultural irrigation had degraded the wetlands [34,56,57]. Over several decades, the water supply from upstream rivers decreased dramatically, from 1.83 billion m 3 in the 1950s to 0.02 billion m 3 in 2000 [34,58].…”

Section: Discussionmentioning

confidence: 99%

Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian

Zhao¹,

Gong²,

Zeng³

et al. 2021

Sustainability

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The spatiotemporal features of land use changes and the evolution process of landscape pattern from 1980 to 2017 were investigated using historical satellite images from a Landsat Thematic Mapper (TM) for 1980, 1990, 2000, 2005, 2010 and 2017 in the wetlands of Lake Baiyangdian in the North China Plain (NCP). Landscape pattern indices were used to quantify landscape changes in wetlands, and a redundancy analysis (RDA) was conducted to analyze the driving forces and quantitatively explain the effects of human activities and natural changes on wetland fragmentation. The results showed that the total wetland area was 234.4 km2 in 1980 but it decreased by 8.1% at an average decrease rate of 0.5 km2 per year. The dominant transition between land use types was from natural wetlands to artificial wetlands, and wetland conversion to dry land and residential land. The RDA results suggested that agricultural activities and total population were the main driving factors affecting wetland landscape. Additionally, climate change provided a potentially favorable environment for agricultural development, due to the increased temperatures and decreased wind speeds. Additionally, governmental policy changes and dam construction also played the roles in land use changes.

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“…(2) The manner in which land is used can have an impact on the ecosystem and the quality of habitats for different species. The extent to which land use affects ecosystem processes and habitat quality varies depending on the specific land use in question [9,[47][48][49]. In this paper, the study area mainly contains several types of land use such as paddy fields, dry land, farmed lake, beach, reed swamp, and woodland, among which beach, woodland, and reed swamp include both natural and human modification and protection, but generally do not involve too much human behavior of building settlements, growing food, and producing other economic products through land modification, i.e., they are assigned a value of 0.…”

Section: Data Sourcesmentioning

confidence: 99%

Identification of Important Wetlands and Optimization of Landscape Patterns Based on Human Pressure Index: The Case of the Linghekou Wetland in China

Wang,

Cheng,

Chen

2024

Sustainability

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The Linghekou wetland is a rich repository of ecological resources and serves as an important habitat for numerous rare and protected animals. However, due to a confluence of natural and anthropogenic factors, the ecological environment of the Linghekou wetland is facing a multitude of threats, including the reduction in wetland area, the degradation of wetland resources, and the instability of ecological structure. This paper employs an anthropogenic focus, utilizing the human pressure index (HPI), spatial autocorrelation, and cold and hot spot methods to identify crucial wetlands. These identified wetlands are then utilized as ecological source sites to optimize the landscape pattern of the Linghekou wetland, employing the minimum cumulative resistance (MCR) model. The final results indicated the identification of 6 ecological sources, 8 ecological corridors, and 42 ecological nodes. These were primarily concentrated in the southern region of the study area and were distributed in a reasonable manner. The method of identifying ecological sources when optimizing the landscape pattern with the MCR model was enriched by this approach. Additionally, the paper offers recommendations for the optimization of the landscape pattern of the Linghekou wetland and establishes a foundation for the protection and restoration of other similar wetlands.

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Wetland landscape pattern change and its driving forces in Beijing-Tianjin-Hebei region in recent 30 years

Cited by 7 publications

References 0 publications

The Main Drivers of Wetland Evolution in the Beijing-Tianjin-Hebei Plain

The Main Drivers of Wetland Evolution in the Beijing-Tianjin-Hebei Plain

Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian

Identification of Important Wetlands and Optimization of Landscape Patterns Based on Human Pressure Index: The Case of the Linghekou Wetland in China

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