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Xie B, Du J, Zheng X, Chen B. Marine food webs, ecosystem models and stable isotopes. REFERENCE MODULE IN EARTH SYSTEMS AND ENVIRONMENTAL SCIENCES 2023. [DOI: 10.1016/b978-0-323-90798-9.00027-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
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Wu HY, Fu SF, Hu WJ, Chen FG, Cai XQ, Chen QH, Wu YB. Response of different benthic biotic indices to eutrophication and sediment heavy metal pollution, in fujian coastal water, East China sea. CHEMOSPHERE 2022; 307:135653. [PMID: 35835246 DOI: 10.1016/j.chemosphere.2022.135653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/16/2022] [Accepted: 07/05/2022] [Indexed: 06/15/2023]
Abstract
The types and intensity of anthropogenic pressure in the same sea area may differ spatially and may change as time passes, but response of benthic biotic indices to different pressure is different, which makes it unreasonable to use the same benthic biotic indices in a large sea area. We provided a new way of thinking as to selecting benthic biotic indices according to pressure type. The study took six bays under eutrophication and sediment heavy metal pollution to different levels in Fujian coastal water, East China sea, as examples, analysed the response of five benthic biotic indices, namely AZTI marine biotic index (AMBI), multivariate AMBI (M-AMBI), Shannon-Wiener diversity index (H'), benthic opportunistic polychaetes amphipods (BOPA) and benthic polychaetes amphipods (BPA), to eutrophication factors and sediment heavy metal pollution factors firstly. The result indicated that AMBI well responded to dissolved inorganic nitrogen (DIN) and dissolved inorganic phosphorus (DIP); M-AMBI responded soundly in the range of DIN >0.131 mg L-1 and DIP >0.022 mg L-1 and responded universally to heavy metals; H' responded to only Hg and Cd; BOPA has response to eutrophication condition of DIN >0.242 mg L-1; BPA had response to DIN, Cu and As. Then, suitable indices were selected based on the four pressure scenarios in the study area. AMBI was selected in no pressure scenario; M-AMBI was chosen under only eutrophication pressure and under dual pressure; H' was preferred in only heavy metal pressure scenario (mainly Hg pollution). At last, the density plot of the distribution of the selected indices in the evaluation grades under different pressure scenarios proved the proposal of selecting benthic biotic indices according to pressure types feasible. This study can offer some new insights into rapidly choosing indices to evaluate the coastal benthic ecological quality status.
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Affiliation(s)
- Hai-Yan Wu
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China; Key Laboratory of Marine Ecological Conservation and Restoration, Ministry of Natural Resources, Xiamen, 361005, China; Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration, Xiamen, 361005, China
| | - Shi-Feng Fu
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China.
| | - Wen-Jia Hu
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China; Key Laboratory of Marine Ecological Conservation and Restoration, Ministry of Natural Resources, Xiamen, 361005, China; Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration, Xiamen, 361005, China
| | - Feng-Gui Chen
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China; Key Laboratory of Marine Ecological Conservation and Restoration, Ministry of Natural Resources, Xiamen, 361005, China; Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration, Xiamen, 361005, China
| | - Xiao-Qiong Cai
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China
| | - Qing-Hui Chen
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China
| | - Yi-Biao Wu
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, 361005, China
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Spatiotemporal Evolution of Wetland Eco-Hydrological Connectivity in the Poyang Lake Area Based on Long Time-Series Remote Sensing Images. REMOTE SENSING 2021. [DOI: 10.3390/rs13234812] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Hydrological connectivity is important for maintaining the stability and function of wetland ecosystems. Small-scale hydrological connectivity restricts large-scale hydrological cycle processes. However, long-term evolutionary studies and quantitative evaluation of the hydrological connectivity of wetlands in the Poyang Lake area have not been sufficiently conducted. In this study, we collected 21 Landsat remote sensing images and extracted land use data from 1989 to 2020, introducing a morphological spatial pattern analysis model to assess the wetland hydrological connectivity. A comprehensive method for evaluating the hydrological connectivity of wetlands was established and applied to the Poyang Lake area. The results showed that, over the course of 31 years, the wetland landscape in the Poyang Lake area changed dramatically, and the wetland area has generally shown a decreasing and then increasing trend, among which the core wetland plays a dominant role in the hydrological connectivity of the Poyang Lake area. In addition, the hydrological connectivity decreases as the core wetland area decreases. From 1989 to 2005, the landscape in the Poyang Lake area focused mainly on the transition from wetland to non-wetland. From 2005 to 2020, the conversion of wetland landscape types shows a clear reversal compared to the previous period, showing a predominant shift from non-wetland to wetland landscapes. The eco-hydrological connectivity of the wetlands in the Poyang Lake area from 1989 to 2020 first decreased, and then increased after 2005. In the early stage of the study (1989−2005), we found that the connectivity of 0.3444 in 2005 was the lowest value in the study period. A resolution of 30 m and an edge effect width of 60 m were optimal for studying the hydrological connectivity of wetlands in the Poyang Lake area. The main drivers of the changes in hydrological connectivity were precipitation and the construction of large-scale water conservation projects, as well as changes in land use. This study provides a good basis for assessing hydrological connectivity in a meaningful way, and is expected to provide new insights for maintaining and restoring biodiversity and related ecosystem services in the Poyang Lake area.
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Yan J, Sui J, Xu Y, Li X, Wang H, Zhang B. Assessment of the benthic ecological status in adjacent areas of the Yangtze River Estuary, China, using AMBI, M-AMBI and BOPA biotic indices. MARINE POLLUTION BULLETIN 2020; 153:111020. [PMID: 32275566 DOI: 10.1016/j.marpolbul.2020.111020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 02/20/2020] [Accepted: 02/21/2020] [Indexed: 06/11/2023]
Abstract
The main environmental variables of bottom seawater and macrobenthic invertebrates were investigated from February 2015 to January 2016 to evaluate the benthic ecological status in adjacent areas of the Yangtze River Estuary, China. Diverse ecological assessment results were given by the AZTI Marine Biotic Index (AMBI), multivariate-AMBI (M-AMBI) and benthic opportunistic polychaetes amphipods (BOPA) index, showing that the M-AMBI was the most suitable in the study area. A clear spatial distribution pattern related to the distance from the estuary and the coasts was found both for the benthic ecological status and the eutrophication-related bottom seawater environmental variables, indicating that the study area was under eutrophication pressure. Two major disturbed regions (one was east of the Yangtze River Estuary, and the other was east of Zhejiang Province) were discovered, which was probably mainly caused by the Changjiang Diluted Water (CDW). No significant seasonal changes were found in the ecological status.
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Affiliation(s)
- Jia Yan
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Jixing Sui
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China
| | - Yong Xu
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Xinzheng Li
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266000, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, 7 Nanhai Road, Qingdao 266071, China.
| | - Hongfa Wang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Baolin Zhang
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
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Chen Y, Yan S, Tran CC. Comprehensive evaluation method for user interface design in nuclear power plant based on mental workload. NUCLEAR ENGINEERING AND TECHNOLOGY 2019. [DOI: 10.1016/j.net.2018.10.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Chan AKY, Xu WZ, Liu XS, Cheung SG, Shin PKS. Sediment characteristics and benthic ecological status in contrasting marine environments of subtropical Hong Kong. MARINE POLLUTION BULLETIN 2016; 103:360-370. [PMID: 26749224 DOI: 10.1016/j.marpolbul.2015.12.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 12/12/2015] [Accepted: 12/22/2015] [Indexed: 06/05/2023]
Abstract
Sediment characteristics and benthic communities on a finer sampling scale in four contrasting environments in subtropical Hong Kong were analyzed in summer and winter 2012. In two harbour habitats which suffered from historic sewage pollution or hypoxic events, organic carbon, nutrient and trace metal content in the sediment were significantly higher than that in an offshore area and a marine reserve. The relatively low organic and nutrient content in the offshore habitat could be resulted from enhanced resuspension of such materials from the seabed owing to intense water mixing and disturbance caused by bottom trawling. The biotic indices AMBI and M-AMBI were shown to be useful in assessing the benthic ecological status of these habitats. Such indices can also be more sensitive than sediment physico-chemical parameters in differentiating the response of macrofauna to seasonal changes in the benthic environment.
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Affiliation(s)
- Alice K Y Chan
- Department of Biology and Chemistry, City University of Hong Kong, Hong Kong
| | - Wen-Zhe Xu
- College of Marine Science and Engineering, Tianjin University of Science and Technology, China
| | - Xiao-Shou Liu
- College of Marine Life Sciences, Ocean University of China, China
| | - Siu Gin Cheung
- Department of Biology and Chemistry, City University of Hong Kong, Hong Kong; State Key Laboratory in Marine Pollution, City University of Hong Kong, Hong Kong
| | - Paul K S Shin
- Department of Biology and Chemistry, City University of Hong Kong, Hong Kong; State Key Laboratory in Marine Pollution, City University of Hong Kong, Hong Kong.
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Alizadeh MJ, Kavianpour MR. Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean. MARINE POLLUTION BULLETIN 2015; 98:171-178. [PMID: 26140748 DOI: 10.1016/j.marpolbul.2015.06.052] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Revised: 06/26/2015] [Accepted: 06/28/2015] [Indexed: 06/04/2023]
Abstract
The main objective of this study is to apply artificial neural network (ANN) and wavelet-neural network (WNN) models for predicting a variety of ocean water quality parameters. In this regard, several water quality parameters in Hilo Bay, Pacific Ocean, are taken under consideration. Different combinations of water quality parameters are applied as input variables to predict daily values of salinity, temperature and DO as well as hourly values of DO. The results demonstrate that the WNN models are superior to the ANN models. Also, the hourly models developed for DO prediction outperform the daily models of DO. For the daily models, the most accurate model has R equal to 0.96, while for the hourly model it reaches up to 0.98. Overall, the results show the ability of the model to monitor the ocean parameters, in condition with missing data, or when regular measurement and monitoring are impossible.
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Spatial and temporal water quality characteristics of Poyang Lake Migratory Bird Sanctuary in China. ACTA ACUST UNITED AC 2015. [DOI: 10.1007/s11631-014-0017-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Feng L, Zhu X, Sun X. Assessing coastal reclamation suitability based on a fuzzy-AHP comprehensive evaluation framework: A case study of Lianyungang, China. MARINE POLLUTION BULLETIN 2014; 89:102-111. [PMID: 25455377 DOI: 10.1016/j.marpolbul.2014.10.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2014] [Revised: 10/12/2014] [Accepted: 10/16/2014] [Indexed: 06/04/2023]
Abstract
Coastal reclamation suitability evaluation (CRSE) is a difficult, complex and protracted process requiring the evaluation of many different criteria. In this paper, an integrated framework employing a fuzzy comprehensive evaluation method and analytic hierarchy process (AHP) was applied to the suitability evaluation for coastal reclamation for future sustainable development in the coastal area of Lianyungang, China. The evaluation results classified 6.63%, 22.99%, 31.59% and 38.79% of the coastline as suitable, weakly suitable, unsuitable and forbidden, respectively. The evaluation results were verified by the marine pollution data and highly consistent with the water quality status. The fuzzy-AHP comprehensive evaluation method (FACEM) was found to be suitable for the CRSE. This CRSE can also be applied to other coastal areas in China and thereby be used for the better management of coastal reclamation and coastline protection projects.
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Affiliation(s)
- Lan Feng
- State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
| | - Xiaodong Zhu
- State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
| | - Xiang Sun
- State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
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