Integrating UAV data for assessing the ecological response of Spartina alterniflora towards inundation and salinity gradients in coastal wetland

Yan, Dandan; Li, Jingtai; Yao, Xiuying; Luan, Zhaoqing

doi:10.1016/j.scitotenv.2021.152631

Cited by 20 publications

(13 citation statements)

References 32 publications

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“…Numerous studies have shown that tidal inundation and soil salinity are the key factors affecting the ecological characteristics of S. alterniflora (Burns, 2011;Moffett and Gorelick, 2016;Luan et al, 2020). Yan et al (2022) showed that elevation and soil salinity are the main internal environmental drivers affecting the growth of S. alterniflora, and the height, biomass, flooding depth, and soil salinity all conformed to the Gaussian model. Thus, based on the optimal ecological range of elevation and soil salinity, we obtained the range of elevation and soil salinity (Yan et al, 2022).…”

Section: Potential and Reliability Of The Mce-ca-markov Modelmentioning

confidence: 72%

“…Yan et al (2022) showed that elevation and soil salinity are the main internal environmental drivers affecting the growth of S. alterniflora, and the height, biomass, flooding depth, and soil salinity all conformed to the Gaussian model. Thus, based on the optimal ecological range of elevation and soil salinity, we obtained the range of elevation and soil salinity (Yan et al, 2022). Yan et al (2021) analyzed the spatial-temporal change of S. alterniflora in coastal wetlands during 1993-2020 based on GEE and Landsat images.…”

Section: Potential and Reliability Of The Mce-ca-markov Modelmentioning

confidence: 72%

“…Because Spartina alterniflora (S. alterniflora) is adaptable and has a high diffusion capacity, it has expanded extensively along the coast of China. Indeed, it has been one of the most widespread invasive plants in coastal wetlands (Liu, 2018a;Liu et al, 2018b;Yan et al, 2021;Yan et al, 2022). Tremendous researches has demonstrated that the invasion of S. alterniflora has resulted in severe ecological crises through its reshaping of the structure and function of the original coastal wetland ecosystem (Grosholz et al, 2009;Page et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have shown that tidal inundation and soil salinity are the key factors affecting the ecological characteristics of S. alterniflora (Burns, 2011;Moffett and Gorelick, 2016;Luan et al, 2020). Yan et al (2022) showed that elevation and soil salinity are the main internal environmental drivers affecting the growth of S. alterniflora, and the number of elk and artificial ditches are the external factors affecting the growth of S. alterniflora (Yan et al, 2021). Therefore, fully considering the natural and human factors affecting the expansion of S. alterniflora is important for examining the expansion of S. alterniflora.…”

Section: Introductionmentioning

confidence: 99%

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Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model

Yan

Xie

et al. 2022

Front. Mar. Sci.

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The spread of Spartina alterniflora (smooth cordgrass) has put biodiversity and ecosystem function at risk since it was introduced to China just a few decades ago. A better understanding of how the range of S. alterniflora will expand in the future will help manage the invasion of this species in coastal wetlands. However, it is difficult to model the future extent of Spartina saltmarshes in China. To address this issue, we combined multi criteria evaluation with traditional CA Markov model to provide robust forecasting of the spatial expansion of S. alterniflora for the next ten years, at Dafeng Milu National Nature Reserve, Jiangsu, China. Our results showed that, compared with the interpretation results of high-resolution remote sensing images in 2020, the kappa coefficient of verification accuracy was 82.63%, indicating that the MCE-CA-Markov model has good prediction results. Therefore, the model can forecast the expansion process of S. alterniflora over the next ten years. The model predicts that the area of S. alterniflora continued to decrease from 910.25 ha in 2020 to 881.21 ha in 2030. The spatial distribution of S. alterniflora has been decreasing on the landward side while it has been expanding towards the sea on the seaward side. This study provides some suggestions for effective management and control of invasive species, which could be important for wetland biodiversity conservation and resource management.

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Section: Potential and Reliability Of The Mce-ca-markov Modelmentioning

confidence: 72%

Section: Potential and Reliability Of The Mce-ca-markov Modelmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have shown that tidal inundation and soil salinity are the key factors affecting the ecological characteristics of S. alterniflora (Burns, 2011;Moffett and Gorelick, 2016;Luan et al, 2020). Yan et al (2022) showed that elevation and soil salinity are the main internal environmental drivers affecting the growth of S. alterniflora, and the number of elk and artificial ditches are the external factors affecting the growth of S. alterniflora (Yan et al, 2021). Therefore, fully considering the natural and human factors affecting the expansion of S. alterniflora is important for examining the expansion of S. alterniflora.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model

Yan

Xie

et al. 2022

Front. Mar. Sci.

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“…Therefore, remote sensing technology has significant advantages in extracting information of S. alterniflora in complex environments [5]. Hyperspectral images are among the important sources of data for the classification of wetland plant communities because they can describe the characteristic differences between coastal wetland communities [6,7]. However, the spectral similarity between S. alterniflora and other wetland vegetation makes it difficult to accurately extract and map dynamic information on the spatial distribution of S. alterniflora by relying only on spectral images.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Mapping Changes in the Invasion of Spartina Alterniflora in the Yellow River Delta

Qiu

Mao

Feng

et al. 2022

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

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The propagation of the invasive Spartina alterniflora (S. alterniflora) has seriously affected the health of coastal wetland ecosystems in China and thus requires an urgent response. In this research, we construct a feature vector set containing phenological and other time-series features based on the Google Earth Engine (GEE) platform by combining dense time-series images from the Sentinel-1 and Sentinel-2 satellites. We obtained the dataset of the annual distribution of S. alterniflora in the Yellow River Delta (YRD) from 2016 to 2021 by developing an object-oriented random forest classification model. The results show that S. alterniflora has different phenological features from other wetland plants that played an important role in its classification based on the images. A combination of multiple phenological and temporal features improved the classification accuracy of S. alterniflora (multi-year average OA: 95.38%; UA: 95.01%; PA: 95.17%). Our results suggest that from 2016 to 2021, the growth rate of the area occupied by S. alterniflora was 2.17 km 2 per year, and a new patch of the S. alterniflora appeared in the south of the study area in 2018. The work here provides scientific data to support the monitoring and control of the invasive S. alterniflora at a large scale.

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The responses of soil bacterial and archaeal communities to coastal embankments in three typical salt marshes of Eastern China

et al. 2022

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Integrating UAV data for assessing the ecological response of Spartina alterniflora towards inundation and salinity gradients in coastal wetland

Cited by 20 publications

References 32 publications

Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model

Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model

High-Resolution Mapping Changes in the Invasion of Spartina Alterniflora in the Yellow River Delta

The responses of soil bacterial and archaeal communities to coastal embankments in three typical salt marshes of Eastern China

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