Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model
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 co...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-07-01
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| Series: | Frontiers in Marine Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2022.964172/full |
| _version_ | 1818529539292135424 |
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| author | Dandan Yan Jingtai Li Siying Xie Yao Liu Yufeng Sheng Zhaoqing Luan |
| author_facet | Dandan Yan Jingtai Li Siying Xie Yao Liu Yufeng Sheng Zhaoqing Luan |
| author_sort | Dandan Yan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T17:08:10Z |
| format | Article |
| id | doaj.art-7455c916e3aa4c1fbd68229a8c55595b |
| institution | Directory Open Access Journal |
| issn | 2296-7745 |
| language | English |
| last_indexed | 2024-12-11T17:08:10Z |
| publishDate | 2022-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Marine Science |
| spelling | doaj.art-7455c916e3aa4c1fbd68229a8c55595b2022-12-22T00:57:37ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452022-07-01910.3389/fmars.2022.964172964172Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov modelDandan YanJingtai LiSiying XieYao LiuYufeng ShengZhaoqing LuanThe 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.https://www.frontiersin.org/articles/10.3389/fmars.2022.964172/fullSpartina alterniflorasuitability mapsMCE-CA-Markovforecast spatial and temporalDafeng Milu National Nature Reserve |
| spellingShingle | Dandan Yan Jingtai Li Siying Xie Yao Liu Yufeng Sheng Zhaoqing Luan Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model Frontiers in Marine Science Spartina alterniflora suitability maps MCE-CA-Markov forecast spatial and temporal Dafeng Milu National Nature Reserve |
| title | Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model |
| title_full | Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model |
| title_fullStr | Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model |
| title_full_unstemmed | Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model |
| title_short | Examining the expansion of Spartina alterniflora in coastal wetlands using an MCE-CA-Markov model |
| title_sort | examining the expansion of spartina alterniflora in coastal wetlands using an mce ca markov model |
| topic | Spartina alterniflora suitability maps MCE-CA-Markov forecast spatial and temporal Dafeng Milu National Nature Reserve |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2022.964172/full |
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