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Wang H, Zhang W, Hou X, Tong J, Yu F, Yan Y, Wang L, Zhao B, Yan W, Li Y. Alternative states in microbial communities during artificial aeration: Proof of incubation experiment and development of recurrent neural network models. Water Res 2023; 247:120828. [PMID: 37948904 DOI: 10.1016/j.watres.2023.120828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 10/20/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023]
Abstract
Artificial aeration, a widely used method of restoring the aquatic ecological environment by enhancing the re-oxygenation capacity, typically relies upon empirical models to predict ecological dynamics and determine the operating scheme of the aeration equipment. Restoration through artificial aeration is involved in oxic-anoxic transitions, whether these transitions occurred in the form of a regime shift, making the development of predictive models challenging. Here, we confirmed the existence of alternative states in microbial communities during artificial aeration through aeration incubation experiment for the first time and considered its existence in neural network modeling in order to improve model performance. By aeration incubation experiment, it was confirmed that the alternative states exist in microbial communities during artificial aeration by two independent approaches, potential analysis and "enterotyping" approach. Comparing neural network models with and without considering the existence of alternative states, it was found that considering the existence of alternative states in modeling could improve the performance of neural network model. Our study provides a reference for the prediction of systems containing time series data where the current state will have an impact on later states. The developed model could be used for optimizing the operating scheme of the artificial aeration.
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Affiliation(s)
- Haolan Wang
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China
| | - Wenlong Zhang
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China.
| | - Xing Hou
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China; Institute of Water Science and Technology, Hohai University, Nanjing, 210098, PR China
| | - Jiaxin Tong
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China
| | - Feng Yu
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China
| | - Yuting Yan
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China
| | - Longfei Wang
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China
| | - Bo Zhao
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China
| | - Wenming Yan
- The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, 210098, PR China
| | - Yi Li
- Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China.
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Coro G, Bove P, Kesner-Reyes K. Global-scale parameters for ecological models. Sci Data 2023; 10:7. [PMID: 36599846 DOI: 10.1038/s41597-022-01904-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 12/14/2022] [Indexed: 01/05/2023] Open
Abstract
This paper presents a collection of environmental, geophysical, and other marine-related data for marine ecological models and ecological-niche models. It consists of 2132 raster data for 58 distinct parameters at regional and global scales in the ESRI-GRID ASCII format. Most data originally belonged to open data owned by the authors of this article but residing on heterogeneous repositories with different formats and resolutions. Other data were specifically created for the present publication. The collection includes 565 data with global scale range; 154 at 0.5° resolution and 411 at 0.1° resolution; 196 data with annual temporal aggregation over ~10 key years between 1950 and 2100; 369 data with monthly aggregation at 0.1° resolution from January 2017 to ~May 2021 continuously. Data were also cut out on 8 European marine regions. The collection also includes forecasts for different future scenarios such as the Representative Concentration Pathways 2.6 (63 data), 4.5 (162 data), and 8.5 (162 data), and the A2 scenario of the Intergovernmental Panel on Climate Change (180 data).
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Weinert M, Kröncke I, Meyer J, Mathis M, Pohlmann T, Reiss H. Benthic ecosystem functioning under climate change: modelling the bioturbation potential for benthic key species in the southern North Sea. PeerJ 2022; 10:e14105. [PMID: 36317120 PMCID: PMC9617549 DOI: 10.7717/peerj.14105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 09/01/2022] [Indexed: 01/21/2023] Open
Abstract
Climate change affects the marine environment on many levels with profound consequences for numerous biological, chemical, and physical processes. Benthic bioturbation is one of the most relevant and significant processes for benthic-pelagic coupling and biogeochemical fluxes in marine sediments, such as the uptake, transport, and remineralisation of organic carbon. However, only little is known about how climate change affects the distribution and intensity of benthic bioturbation of a shallow temperate shelf sea system such as the southern North Sea. In this study, we modelled and projected changes in bioturbation potential (BPp) under a continuous global warming scenario for seven southern North Sea key bioturbators: Abra alba, Amphiura filiformis, Callianassa subterranea, Echinocardium cordatum, Goniada maculata, Nephtys hombergii, and Nucula nitidosa. Spatial changes in species bioturbation intensity are simulated for the years 2050 and 2099 based on one species distribution model per species driven by bottom temperature and salinity changes using the IPCC SRES scenario A1B. Local mean bottom temperature was projected to increase between 0.15 and 5.4 °C, while mean bottom salinity was projected to moderately decrease by 1.7. Our results show that the considered benthic species are strongly influenced by the temperature increase. Although the total BP remained rather constant in the southern North Sea, the BPp for four out of seven species was projected to increase, mainly due to a simultaneous northward range expansion, while the BPp in the core area of the southern North Sea declined for the same species. Bioturbation of the most important species, Amphiura filiformis and Echinocardium cordatum, showed no substantial change in the spatial distribution, but over time. The BPp of E. cordatum remained almost constant until 2099, while the BPp of A. filiformis decreased by 41%. The northward expansion of some species and the decline of most species in the south led to a change of relative contribution to bioturbation in the southern North Sea. These results indicate that some of the selected key bioturbators in the southern North Sea might partly compensate the decrease in bioturbation by others. But especially in the depositional areas where bioturbation plays a specifically important role for ecosystem functioning, bioturbation potential declined until 2099, which might affect the biochemical cycling in sediments of some areas of the southern North Sea.
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Affiliation(s)
- Michael Weinert
- Department for Marine Research, Senckenberg am Meer, Wilhelmshaven, Germany,Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
| | - Ingrid Kröncke
- Department for Marine Research, Senckenberg am Meer, Wilhelmshaven, Germany,Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University, Oldenburg, Germany
| | - Julia Meyer
- Department for Marine Research, Senckenberg am Meer, Wilhelmshaven, Germany,Institute for Chemistry and Biology of the Marine Environment (ICBM), Carl von Ossietzky University, Oldenburg, Germany
| | - Moritz Mathis
- Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
| | - Thomas Pohlmann
- Institute of Oceanography, University of Hamburg, Hamburg, Germany
| | - Henning Reiss
- Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway
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Hewitt JE, Bulmer RH, Stephenson F, Thrush SF. Sampling frequency, duration and the Southern Oscillation influence the ability of long-term studies to detect sudden change. Glob Chang Biol 2021; 27:2213-2224. [PMID: 33599051 DOI: 10.1111/gcb.15558] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Accepted: 02/04/2021] [Indexed: 06/12/2023]
Abstract
Ecologists have long acknowledged the importance of context dependency related to position along spatial gradients. It is also acknowledged that broad-scale climate patterns can directly and indirectly alter population dynamics. What is not often addressed is whether climate patterns such as the Southern Oscillation interact with population-level temporal patterns and affect the ability of time-series data, such as long-term state of the environment monitoring programmes, to detect change. Monitoring design criteria generally focus on number of data points, sampling frequency and duration, often derived from previous information on species seasonal and multi-year temporal patterns. Our study questioned whether the timing of any changes relative to Southern Oscillation, interacting with species populations dynamics, would also be important. We imposed a series of simulated reductions on macrofaunal abundance data collected regularly over 29 years from two sites, using species selected for observed differences in temporal dynamics. We hypothesized that (1) high within-year sampling frequency would increase detection ability for species with repeatable seasonality cycles and (2) timing of the reduction in abundance relative to the Southern Oscillation was only likely to affect detection ability for long-lived species with multi-year cyclic patterns in abundance. However, regardless of species population dynamics, we found both within-year sampling frequency and the timing of the imposed reduction relative to the Southern Oscillation Index affected detection ability. The latter result, while apparently demonstrating a confounding influence on monitoring, offers the opportunity to improve our ability to detect and interpret analyses of monitoring data, and thus our ability to make recommendations to managers.
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Affiliation(s)
- Judi E Hewitt
- Marine Ecology Group, National Institute of Water and Atmosphere, Hamilton, New Zealand
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Richard H Bulmer
- Marine Ecology Group, National Institute of Water and Atmosphere, Hamilton, New Zealand
| | - Fabrice Stephenson
- Marine Ecology Group, National Institute of Water and Atmosphere, Hamilton, New Zealand
| | - Simon F Thrush
- Institute of Marine Studies, University of Auckland, Auckland, New Zealand
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Rishworth GM, Adams JB, Bird MS, Carrasco NK, Dänhardt A, Dannheim J, Lemley DA, Pistorius PA, Scheiffarth G, Hillebrand H. Cross-continental analysis of coastal biodiversity change. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190452. [PMID: 33131440 PMCID: PMC7662198 DOI: 10.1098/rstb.2019.0452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2020] [Indexed: 01/16/2023] Open
Abstract
Whereas the anthropogenic impact on marine biodiversity is undebated, the quantification and prediction of this change are not trivial. Simple traditional measures of biodiversity (e.g. richness, diversity indices) do not capture the magnitude and direction of changes in species or functional composition. In this paper, we apply recently developed methods for measuring biodiversity turnover to time-series data of four broad taxonomic groups from two coastal regions: the southern North Sea (Germany) and the South African coast. Both areas share geomorphological features and ecosystem types, allowing for a critical assessment of the most informative metrics of biodiversity change across organism groups. We found little evidence for directional trends in univariate metrics of diversity for either the effective number of taxa or the amount of richness change. However, turnover in composition was high (on average nearly 30% of identities when addressing presence or absence of species) and even higher when taking the relative dominance of species into account. This turnover accumulated over time at similar rates across regions and organism groups. We conclude that biodiversity metrics responsive to turnover provide a more accurate reflection of community change relative to conventional metrics (absolute richness or relative abundance) and are spatially broadly applicable. This article is part of the theme issue 'Integrative research perspectives on marine conservation'.
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Affiliation(s)
- Gavin M. Rishworth
- Institute for Coastal and Marine Research, Department of Botany, Nelson Mandela University, Port Elizabeth 6031, South Africa
- Department of Zoology, Nelson Mandela University, Port Elizabeth 6031, South Africa
| | - Janine B. Adams
- Institute for Coastal and Marine Research, Department of Botany, Nelson Mandela University, Port Elizabeth 6031, South Africa
| | - Matthew S. Bird
- Department of Zoology, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa
| | - Nicola K. Carrasco
- School of Life Sciences, University of KwaZulu-Natal, Durban 4000, South Africa
| | - Andreas Dänhardt
- Lower Saxon Wadden Sea National Park Authority, Virchowstr. 1 26382 Wilhelmshaven, Germany
| | - Jennifer Dannheim
- Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12 D-27570 Bremerhaven, Germany
- Helmholtz-Institute for Functional Marine Biodiversity at the University of Oldenburg [HIFMB], Ammerländer Heerstrasse 231 26129 Oldenbburg, Germany
| | - Daniel A. Lemley
- Institute for Coastal and Marine Research, Department of Botany, Nelson Mandela University, Port Elizabeth 6031, South Africa
| | - Pierre A. Pistorius
- Department of Zoology, Nelson Mandela University, Port Elizabeth 6031, South Africa
| | - Gregor Scheiffarth
- Institute for Chemistry and Biology of Marine Environments [ICBM], Carl-von-Ossietzky University Oldenburg, Schleusenstrasse 1 D-26382 Wilhelmshaven, Germany
| | - Helmut Hillebrand
- Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12 D-27570 Bremerhaven, Germany
- Helmholtz-Institute for Functional Marine Biodiversity at the University of Oldenburg [HIFMB], Ammerländer Heerstrasse 231 26129 Oldenbburg, Germany
- Institute for Chemistry and Biology of Marine Environments [ICBM], Carl-von-Ossietzky University Oldenburg, Schleusenstrasse 1 D-26382 Wilhelmshaven, Germany
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Francisco AS, Netto SA. El Niño–Southern Oscillations and Pacific Decadal Oscillation as Drivers of the Decadal Dynamics of Benthic Macrofauna in Two Subtropical Estuaries (Southern Brazil). Ecosystems 2020; 23:1380-94. [DOI: 10.1007/s10021-019-00475-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A. Editorial. NC 2019. [DOI: 10.3897/natureconservation.34.35517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The present Special Issue entitled “Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains” is the first published collection of studies performed at LTER-Italy sites which address the diversity and dynamics of ecosystems in different domains in responses to natural and anthropogenic forcing.
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