Distribution and disturbance dynamics of habitats suitable for Suaeda salsa

Cao, Chunfang; Su, Fangli; Song, Fei; Yan, Haiming; Pang, Qingzhuang

doi:10.1016/j.ecolind.2022.108984

Cited by 17 publications

(8 citation statements)

References 64 publications

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“…By 2030, approximately 880ha of tidal flats will grow seepweeds under the ND scenario. This is similar to the results of the analysis by Cao et al (2022) of a suitable zone for seepweeds growth in this region. Vegetation growth provides additional carbon input to the soil and improves its physicochemical conditions.…”

Section: Soil Organic Carbon Storagesupporting

confidence: 90%

Soil organic carbon storage in Liaohe River Estuary Wetlands under restoration and multiple management strategies, based on landscape patterns

Wang

Pan²,

Yu³

et al. 2023

Front. Mar. Sci.

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IntroductionManagement of coastal wetlands has resulted in extensive conservation of this natural resource; however, changes in carbon storage function are not yet known. There is a direct link between landscape and soil carbon storage. Predicting future changes in the landscape and carbon storage in coastal wetlands is important for developing wetland management policies.MethodHere, remote sensing and physical methods were used to measure and calculate the landscape and surface soil carbon stocks of the Liaohe River Estuary Wetland (LREW). The changes in the landscape and soil carbon stocks under three scenarios: natural development, strict protection, and culture pond transfer, were then predicted using the PLUS model.ResultThe results indicate that the surface soil organic carbon storage was 2107.97×103 t, while soil organic carbon density decreased from land to sea. Anthropogenic activity was found to be the main driver of the current landscape evolution. However, the impact of sea level rise is increasing. By 2030, considerably more storage will be gained under the culture pond transfer scenario than at present.DiscussionOur results reveal that some of the methods of ecological restoration may diminish the carbon storage capacity of coastal wetlands. Making full use of areas with high carbon storage potential may be an effective wetland carbon sink management strategy. Governments should consider more comprehensively for a better carbon pool when developing restoration strategies.

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Section: Soil Organic Carbon Storagesupporting

confidence: 90%

Soil organic carbon storage in Liaohe River Estuary Wetlands under restoration and multiple management strategies, based on landscape patterns

Wang

Pan²,

Yu³

et al. 2023

Front. Mar. Sci.

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“…Suaeda salsa is one of these natural species. Compared to other saline plants, S. salsa is less restricted by climatic conditions and is widely distributed in the intertidal zone above 32°N and 40°S (Cao et al, 2022). Moreover, the high cover density makes S. salsa vital in the prevention of soil erosion and the protection of the coastline (Kosmalla et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Planting Suaeda salsa improved the soil properties and bacterial community diversity in a coastal mudflat

Feng

Liu

et al. 2023

Land Degrad Dev

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Planting halophytes is an effective strategy to improve saline soils and prevent soil degradation. However, the effects of planting halophytes on saline soil biochemical properties and bacterial communities remain largely unexplored. In this study, soils were sampled from a field where Suaeda salsa was planted over a three‐year (TY) and one‐year (OY) period on a coastal saline mudflat to investigate the effects of S. salsa growth on soil chemical and biological properties. The results showed that OY and TY significantly reduced soil EC by 76.59% to 79.45% (0–10 cm soil layer) and 31.85% to 43.40% (10–20 cm soil layer) in comparison with the control without S. salsa planting (control). For the characteristics of soil enzyme activity, the alkaline phosphatase activity of TY was significantly reduced in the 0–10 cm soil layer (39.76%) and increased in the 10–20 cm layer (13.37%) relative to control. Alkaline phosphatase activity was the predominant factor affecting soil bacterial community composition. Moreover, the relative abundances of Proteobacteria and Chloroflexi were increased in both the OY and TY treatments compared to control, and were positively correlated with soil organic matter and available nitrogen. The complexity of the soil microbial network and the bacterial community diversity and richness were higher in OY and TY than in control. Our findings suggested that planting S. salsa benefited saline soil in coastal land by reducing soil salt stress, preventing salt soil degradation, and increasing soil bacterial community diversity.

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“…The Maxent model for predicting the suitable area for S. salsa dispersion in the Liaohe estuary stemmed from the relationship between the known distribution of the species and relevant environmental variables, such as water salinity, Cd, Zn, organic matter, etc. (Cao et al, 2022). Moreover, cellular-automata models considered a set of transition rules (including the habitat characteristics and species interaction) in simulating the expanding process of S.alternifora in discrete time steps after being introduced to the new shoals at Jiuduansha Shoals, Shanghai (Huang et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Predicting the regime shift of coastal wetlands based on the bistability features in the intertidal zone: A case study in the Liaohe estuary

et al. 2023

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Influenced by human activities and natural interference, the worldwide distribution of coastal wetlands is now undergoing rapid evolution. The prediction on the locations of vegetation conversion is greatly important for the management of these coastal ecosystems in terms of early warning. In this paper, a series of waterlines extracted from multiple satellite images were used to generate a high-precision digital elevation model (DEM) in the intertidal zone of the Liaohe estuary. Based on the characteristics of the alternative stable states in elevation and normalized difference vegetation index (NDVI), the Logistic Regression Model was applied to predict the potential locations of vegetation expansion with geomorphic factors, such as elevation, slope, and annual changing rate of elevation. Before the prediction, the existence of two stable states in the landscape was confirmed in the study area, i.e., low-lying tidal flats and high-lying saltmarshes. When the geomorphic parameters exceeded the thresholds, the stable state transition would occur. By using the Logistic Regression Model, the elevation was the best explainer for determining the vegetation conversion in the single-factor simulation, while the slope was the worst. When multiple factors were integrated in simulations, the prediction with the elevation, slope, and annual elevation change rate was the best, with R2 = 0.739, and the overall accuracy of prediction reached 88.6%. The prediction result indicated that the area of saltmarshes in the Liaohe estuary increased by 16.7 km2 at a rate of 0.8% per year between 2011 and 2015. When considering the popularization in restoration practice, it is necessary to evaluate the reliability and flexibility of the Logistic Regression Model in predicting vegetation conversion in more types of estuarine wetlands.

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Distribution and disturbance dynamics of habitats suitable for Suaeda salsa

Cited by 17 publications

References 64 publications

Soil organic carbon storage in Liaohe River Estuary Wetlands under restoration and multiple management strategies, based on landscape patterns

Soil organic carbon storage in Liaohe River Estuary Wetlands under restoration and multiple management strategies, based on landscape patterns

Planting Suaeda salsa improved the soil properties and bacterial community diversity in a coastal mudflat

Predicting the regime shift of coastal wetlands based on the bistability features in the intertidal zone: A case study in the Liaohe estuary

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