Impacts of lake water change on vegetation development in the retreat area of the Aral Sea

Duan, Zihao; Wang, Xiaolei; Shakhimardan, Shaniyazov; Sun, Lin; Liu, Wenjiang; Luo, Yi

doi:10.1016/j.jhydrol.2022.128416

Cited by 7 publications

(4 citation statements)

References 82 publications

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“…By comparison, most studies indicated that temperature exerted a more significant impact on vegetation (Tan et al, 2018;Zhang et al, 2020;Rousta et al, 2023). However, in both the Aral Sea study and this study, it was found that the impact of precipitation on vegetation was more significant (Duan et al, 2022). The amount of precipitation determines the amount of surface water available (Berdimbetov et al, 2021).…”

Section: Watersheds and Sdgs In Dryland: A Comparative Analysismentioning

confidence: 50%

Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China

Ge,

Ding,

Amantai

et al. 2024

Front. Plant Sci.

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Amidst the backdrop of global climate change, it is imperative to comprehend the intricate connections among surface water, vegetation, and climatic shifts within watersheds, especially in fragile, arid ecosystems. However, these relationships across various timescales remain unclear. We employed the Ensemble Empirical Mode Decomposition (EEMD) method to analyze the multifaceted dynamics of surface water and vegetation in the Bosten Lake Watershed across multiple temporal scales. This analysis has shed light on how these elements interact with climate change, revealing significant insights. From March to October, approximately 14.9–16.8% of the areas with permanent water were susceptible to receding and drying up. Both the annual and monthly values of Bosten Lake’s level and area exhibited a trend of initial decline followed by an increase, reaching their lowest point in 2013 (1,045.0 m and 906.6 km2, respectively). Approximately 7.7% of vegetated areas showed a significant increase in the Normalized Difference Vegetation Index (NDVI). NDVI volatility was observed in 23.4% of vegetated areas, primarily concentrated in the southern part of the study area and near Lake Bosten. Regarding the annual components (6 < T < 24 months), temperature, 3-month cumulative NDVI, and 3-month-leading precipitation exhibited the strongest correlation with changes in water level and surface area. For the interannual components (T≥ 24 months), NDVI, 3-month cumulative precipitation, and 3-month-leading temperature displayed the most robust correlation with alterations in water level and surface area. In both components, NDVI had a negative impact on Bosten Lake’s water level and surface area, while temperature and precipitation exerted positive effects. Through comparative analysis, this study reveals the importance of temporal periodicity in developing adaptive strategies for achieving Sustainable Development Goals in dryland watersheds. This study introduces a robust methodology for dissecting trends within scale components of lake level and surface area and links these trends to climate variations and NDVI changes across different temporal scales. The inherent correlations uncovered in this research can serve as valuable guidance for future investigations into surface water dynamics in arid regions.

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Section: Watersheds and Sdgs In Dryland: A Comparative Analysismentioning

confidence: 50%

Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China

Ge,

Ding,

Amantai

et al. 2024

Front. Plant Sci.

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“…Furthermore, the NDVI of vegetation in the exposed lakebed of the Aral Sea along with its salt and sand dust are directly associated with the lake level (Figures 2c and 2d). Since the lake began retreating in the 1960s, plant species have colonized the bare surface (Figure S2 in Supporting Information S1), and vegetation communities are now established, in a process shaped by local conditions tied to precipitation, groundwater, and soil salinity (Dimeyeva, 2007(Dimeyeva, , 2015Duan et al, 2022). Lake level restoration efforts since 2006 have increased the vegetation status, as evidenced in higher NDVI values near the shoreline of the North Aral Sea (Figure 2c) and the particularly rapid increase since 2015, peaking at 0.08 in 2020 in the exposed area (Figure 3a).…”

Section: Relationship Between the Water Level And Eco-environmental I...mentioning

confidence: 99%

“…Since then, there has been a decline in lake water salinity to 5.6 g/L (based on our field trips in 2019) or 9.94–10.71 g/kg in the late 2010s. Additionally, there has been an improvement in vegetation cover (Duan et al., 2022) and a reduction in the severity of salt and sand dust storms (Micklin, 2010; Shen et al., 2019). Notably, a small yet stable fishing industry has been re‐established (Micklin, 2016; Pala, 2006), suggesting the potential to reverse the Aral Sea disaster in a broader sense.…”

Section: Introductionmentioning

confidence: 99%

Reviving the Aral Sea: A Hydro‐Eco‐Social Perspective

Wang,

Zhang,

Wang

et al. 2023

Earth's Future

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The rapid shrinkage and salinization of the Aral Sea over the last few decades has precipitated an environmental disaster, with widespread implications for people whose livelihoods depend on it. Although debated extensively, few viable strategies have yet been identified for reviving the Aral Sea. Here, we propose a hydro‐eco‐social framework to develop a viable, sustainable solution and explore its feasibility to resolve the Aral Sea problem. Based on eco‐environmental indicators, we contend that it is feasible to raise the Aral Sea by 40 m above the Baltic Sea level, while maintaining salinity levels tolerable for aquatic organisms, simultaneously reducing sandstorm risk by 58%. Basin‐wide water balance under climate change scenarios shows that this level can be supported through management interventions that reduce water usage by 22.0–23.2 km3/year and ensure sufficient recharge into the lake, without compromising socio‐economic opportunities. To implement this solution, we propose establishing a socio‐ecologically aligned water governance network for basin‐scale water management that has potential application for other, similarly declining, major lake systems.

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“…Coastline records were derived from Landsat images over 1985-2020. The temporal resolution of the Landsat remote sensing images was 16 days, and the spatial resolution was 30 m [17]. The Landsat datasets were archived on the Google Earth Engine platform (https://earthengine.google.com/) [18].…”

Section: Data Sourcementioning

confidence: 99%

Analysis of coastline changes under the impact of human activities during 1985–2020 in Tianjin, China

Wang,

Duan,

et al. 2023

PLoS ONE

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The accurate evaluation of shoreline movement is a crucial aspect for managing highly dynamic coasts. This study employed Landsat TM and OLI data through the Digital Shoreline Analysis System model to quantify changes in the spatiotemporal distribution of Tianjin’s coastline from 1985 to 2020. The results showed that the coastline length (CL) increased by 178 km and 151% over the past 36 years, with an average increase of 5.1 km/a. Accretion and erosion processes along the entire coast were observed at rates of 83.9% and 16.1%, respectively. Notably, the Tianjin Port Area and Nangang Industrial Zone showed remarkable changes in the shoreline in 2009. Night lights (NL) were used to display the intensity of human activity in this area, and the spatial heterogeneity of night light intensity was significant. Compared to the total night light (TNL) in 1985, it increased by 116% in 2020. The relationship between TNL and CL was then established and displayed a significant positive correlation (r = 0.91). With the increasing total night light, the growth of the CL presented changes with an initial slow increase, then rapid increase, and finally slow increase. In the second phase of TNL, the CL experienced a considerable increase due to anthropogenic activities such as land reclamation and port construction, fueled primarily by government policies during the period of 2005–2013. Subsequently, there was little change in the coastline. These findings provide valuable insights into spatiotemporal coastline monitoring programs and sustainable coastal management.

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Impacts of lake water change on vegetation development in the retreat area of the Aral Sea

Cited by 7 publications

References 82 publications

Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China

Responses of vegetation cover to hydro-climatic variations in Bosten Lake Watershed, NW China

Reviving the Aral Sea: A Hydro‐Eco‐Social Perspective

Analysis of coastline changes under the impact of human activities during 1985–2020 in Tianjin, China

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