Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise
Flow regime is a key driver of invasive aquatic organisms, and the invasiveness of mangrove species may be simultaneously attributed to plant traits and flowing hydrological conditions at the estuary scale. We focused on hydrological and topographic conditions for a non-native mangrove species, Sonn...
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Format: | Article |
Language: | English |
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American Association for the Advancement of Science (AAAS)
2020-12-01
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Series: | Ecosystem Health and Sustainability |
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Online Access: | http://dx.doi.org/10.1080/20964129.2020.1780159 |
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author | Luzhen Chen Hongyu Feng Xiaoxuan Gu Ying Dong Peng Cheng Xudong Guo Qiulian Lin Ting Tang Yihui Zhang Xudong Zhu Shengchang Yang |
author_facet | Luzhen Chen Hongyu Feng Xiaoxuan Gu Ying Dong Peng Cheng Xudong Guo Qiulian Lin Ting Tang Yihui Zhang Xudong Zhu Shengchang Yang |
author_sort | Luzhen Chen |
collection | DOAJ |
description | Flow regime is a key driver of invasive aquatic organisms, and the invasiveness of mangrove species may be simultaneously attributed to plant traits and flowing hydrological conditions at the estuary scale. We focused on hydrological and topographic conditions for a non-native mangrove species, Sonneratia apetala, in Zhangjiang Estuary of Fujian, China. A hydrological model and a micro-topographic model were used to predict its dispersal and early establishment, and field surveys and simulated experiments were integrated to estimate its future dispersal patterns. The mesohaline mudflat with a salinity of 8 ~ 10 PSU at the mangrove seaward edge was the most likely colonization area for S. apetala under current conditions. The south-western region of the estuary with native mangroves was the most likely area for its colonization according to the unstructured-grid finite-volume community ocean model (FVCOM) in September, when the largest tidal currents within a year and the maximum fruit maturity period occur. Approximately 42% of the mudflats throughout the whole estuary may be available for seedling establishment under the future sea-level rise RCP 4.5 scenarios compared with 44% for current establishment; however, the RCP 8.5 scenarios would significantly decrease seedling establishment by 2100 due to serious tidal inundation according to the micro-topographical model. |
first_indexed | 2024-03-12T10:55:40Z |
format | Article |
id | doaj.art-8b5a9a92aa824101860eb808bf84f2f0 |
institution | Directory Open Access Journal |
issn | 2332-8878 |
language | English |
last_indexed | 2024-03-12T10:55:40Z |
publishDate | 2020-12-01 |
publisher | American Association for the Advancement of Science (AAAS) |
record_format | Article |
series | Ecosystem Health and Sustainability |
spelling | doaj.art-8b5a9a92aa824101860eb808bf84f2f02023-09-02T06:27:23ZengAmerican Association for the Advancement of Science (AAAS)Ecosystem Health and Sustainability2332-88782020-12-016110.1080/20964129.2020.17801591780159Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level riseLuzhen Chen0Hongyu Feng1Xiaoxuan Gu2Ying Dong3Peng Cheng4Xudong Guo5Qiulian Lin6Ting Tang7Yihui Zhang8Xudong Zhu9Shengchang Yang10Xiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityXiamen UniversityFlow regime is a key driver of invasive aquatic organisms, and the invasiveness of mangrove species may be simultaneously attributed to plant traits and flowing hydrological conditions at the estuary scale. We focused on hydrological and topographic conditions for a non-native mangrove species, Sonneratia apetala, in Zhangjiang Estuary of Fujian, China. A hydrological model and a micro-topographic model were used to predict its dispersal and early establishment, and field surveys and simulated experiments were integrated to estimate its future dispersal patterns. The mesohaline mudflat with a salinity of 8 ~ 10 PSU at the mangrove seaward edge was the most likely colonization area for S. apetala under current conditions. The south-western region of the estuary with native mangroves was the most likely area for its colonization according to the unstructured-grid finite-volume community ocean model (FVCOM) in September, when the largest tidal currents within a year and the maximum fruit maturity period occur. Approximately 42% of the mudflats throughout the whole estuary may be available for seedling establishment under the future sea-level rise RCP 4.5 scenarios compared with 44% for current establishment; however, the RCP 8.5 scenarios would significantly decrease seedling establishment by 2100 due to serious tidal inundation according to the micro-topographical model.http://dx.doi.org/10.1080/20964129.2020.1780159mangrovessalinityelevationsea-level riseclimatic changebiological invasion |
spellingShingle | Luzhen Chen Hongyu Feng Xiaoxuan Gu Ying Dong Peng Cheng Xudong Guo Qiulian Lin Ting Tang Yihui Zhang Xudong Zhu Shengchang Yang Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise Ecosystem Health and Sustainability mangroves salinity elevation sea-level rise climatic change biological invasion |
title | Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise |
title_full | Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise |
title_fullStr | Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise |
title_full_unstemmed | Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise |
title_short | Linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise |
title_sort | linkages of flow regime and micro topography prediction for non native mangrove invasion under sea level rise |
topic | mangroves salinity elevation sea-level rise climatic change biological invasion |
url | http://dx.doi.org/10.1080/20964129.2020.1780159 |
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