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...
Guardado en:
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8b5a9a92aa824101860eb808bf84f2f0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:8b5a9a92aa824101860eb808bf84f2f0 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:8b5a9a92aa824101860eb808bf84f2f02021-12-02T16:43:51ZLinkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise2332-887810.1080/20964129.2020.1780159https://doaj.org/article/8b5a9a92aa824101860eb808bf84f2f02020-12-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2020.1780159https://doaj.org/toc/2332-8878Flow 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.Luzhen ChenHongyu FengXiaoxuan GuYing DongPeng ChengXudong GuoQiulian LinTing TangYihui ZhangXudong ZhuShengchang YangTaylor & Francis Grouparticlemangrovessalinityelevationsea-level riseclimatic changebiological invasionEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 6, Iss 1 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
mangroves salinity elevation sea-level rise climatic change biological invasion Ecology QH540-549.5 |
spellingShingle |
mangroves salinity elevation sea-level rise climatic change biological invasion Ecology QH540-549.5 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 |
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. |
format |
article |
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 |
title |
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_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_sort |
linkages of flow regime and micro-topography: prediction for non-native mangrove invasion under sea-level rise |
publisher |
Taylor & Francis Group |
publishDate |
2020 |
url |
https://doaj.org/article/8b5a9a92aa824101860eb808bf84f2f0 |
work_keys_str_mv |
AT luzhenchen linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT hongyufeng linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT xiaoxuangu linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT yingdong linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT pengcheng linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT xudongguo linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT qiulianlin linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT tingtang linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT yihuizhang linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT xudongzhu linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise AT shengchangyang linkagesofflowregimeandmicrotopographypredictionfornonnativemangroveinvasionundersealevelrise |
_version_ |
1718383527327694848 |