scholarly journals Disentangling effects of multiple stressors on matter flow in a lake food web

2021 ◽  
Author(s):  
Shuran Cindy Wang ◽  
Xueqin Liu ◽  
Yong Liu ◽  
Hongzhu Wang
Keyword(s):  
Food Web ◽  
Multiple Stressors ◽  
Matter Flow

scholarly journals Aquatic food web research in mesocosms: a literature survey

2020 ◽  
Author(s):  
Csenge Póda ◽  
Ferenc Jordán
Keyword(s):  
Food Web ◽  
Multiple Stressors ◽  
Experimental Testing ◽  
Literature Survey ◽  
Trophic Levels ◽  
Combined Effects ◽  
Theoretical Concepts ◽  
Aquatic Food ◽  
Emerging Topics ◽  
Web Research

Food web research feeds ecology with elementary theoretical concepts that need controlled experimental testing. Mesocosm facilities offer multiple ways to execute experimental food web research in a rigorous way. We performed a literature survey to overview food web research implementing the mesocosm approach. Our goal was to summarise quantitatively how the mesocosm approach has formerly been used and question how to best utilise mesocosms for the emerging topics in food web research in the future. We suggest increasing the number of replicates, extending the duration of the experiments, involving higher trophic levels and addressing the combined effects of multiple stressors.

scholarly journals The Plankton Lifeform Extraction Tool: A digital tool to increase the discoverability and usability of plankton time-series data

2021 ◽  
Author(s):  
Clare Ostle ◽  
Kevin Paxman ◽  
Carolyn A. Graves ◽  
Mathew Arnold ◽  
Felipe Artigas ◽  
...  
Keyword(s):  
Time Series ◽  
Food Web ◽  
Large Scale ◽  
Time Series Data ◽  
Multiple Stressors ◽  
Marine Species ◽  
Series Data ◽  
Biological Traits ◽  
Digital Tool ◽  
North East

Abstract. Plankton form the base of the marine food web and are sensitive indicators of environmental change. Plankton time-seriesare therefore an essential part of monitoring progress towards global biodiversity goals, such as the Convention onBiological Diversity Aichi Targets, and for informing ecosystem-based policy, such as the EU Marine Strategy FrameworkDirective. Multiple plankton monitoring programmes exist in Europe, but differences in sampling and analysis methodsprevent the integration of their data, constraining their utility over large spatio-temporal scales. The Plankton LifeformExtraction Tool brings together disparate European plankton datasets into a central database from which it extractsabundance time-series of plankton functional groups, called ‘lifeforms’, according to shared biological traits. This tool hasbeen designed to make complex plankton datasets accessible and meaningful for policy, public interest, and scientificdiscovery. It allows examination of large-scale shifts in lifeform abundance or distribution (for example, holoplankton beingpartially replaced by meroplankton), providing clues to how the marine environment is changing. The lifeform methodenables datasets with different plankton sampling and taxonomic analysis methodologies to be used together to provideinsights into the response to multiple stressors and robust policy evidence for decision making. Lifeform time-seriesgenerated with the Plankton Lifeform Extraction Tool currently inform plankton and food web indicators for the UK’sMarine Strategy, the EU’s Marine Strategy Framework Directive, and for the Convention for the Protection of the MarineEnvironment of the North- East Atlantic (OSPAR) biodiversity assessments. The Plankton Lifeform Extraction Toolcurrently integrates 155,000 samples, containing over 44 million plankton records, from 9 different plankton datasets withinUK and European Seas, collected between 1924 and 2017. Additional datasets can be added, and time-series updated. ThePlankton Lifeform Extraction Tool is hosted by The Archive for Marine Species and Habitats Data (DASSH) athttps://www.dassh.ac.uk/lifeforms/. The lifeform outputs are linked to specific, doi-ed, versions of the Plankton LifeformTraits Master List and each underlying dataset.

scholarly journals The Plankton Lifeform Extraction Tool: a digital tool to increase the discoverability and usability of plankton time-series data

2021 ◽  
Vol 13 (12) ◽  
pp. 5617-5642
Author(s):  
Clare Ostle ◽  
Kevin Paxman ◽  
Carolyn A. Graves ◽  
Mathew Arnold ◽  
Luis Felipe Artigas ◽  
...  
Keyword(s):  
Time Series ◽  
Food Web ◽  
Marine Environment ◽  
Biological Diversity ◽  
Multiple Stressors ◽  
Scientific Discovery ◽  
Series Data ◽  
Biological Traits ◽  
Marine Strategy Framework Directive ◽  
North East

Abstract. Plankton form the base of the marine food web and are sensitive indicators of environmental change. Plankton time series are therefore an essential part of monitoring progress towards global biodiversity goals, such as the Convention on Biological Diversity Aichi Targets, and for informing ecosystem-based policy, such as the EU Marine Strategy Framework Directive. Multiple plankton monitoring programmes exist in Europe, but differences in sampling and analysis methods prevent the integration of their data, constraining their utility over large spatio-temporal scales. The Plankton Lifeform Extraction Tool brings together disparate European plankton datasets into a central database from which it extracts abundance time series of plankton functional groups, called “lifeforms”, according to shared biological traits. This tool has been designed to make complex plankton datasets accessible and meaningful for policy, public interest, and scientific discovery. It allows examination of large-scale shifts in lifeform abundance or distribution (for example, holoplankton being partially replaced by meroplankton), providing clues to how the marine environment is changing. The lifeform method enables datasets with different plankton sampling and taxonomic analysis methodologies to be used together to provide insights into the response to multiple stressors and robust policy evidence for decision making. Lifeform time series generated with the Plankton Lifeform Extraction Tool currently inform plankton and food web indicators for the UK's Marine Strategy, the EU's Marine Strategy Framework Directive, and for the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR) biodiversity assessments. The Plankton Lifeform Extraction Tool currently integrates 155 000 samples, containing over 44 million plankton records, from nine different plankton datasets within UK and European seas, collected between 1924 and 2017. Additional datasets can be added, and time series can be updated. The Plankton Lifeform Extraction Tool is hosted by The Archive for Marine Species and Habitats Data (DASSH) at https://www.dassh.ac.uk/lifeforms/ (last access: 22 November 2021, Ostle et al., 2021). The lifeform outputs are linked to specific, DOI-ed, versions of the Plankton Lifeform Traits Master List and each underlying dataset.

scholarly journals EwE-F 1.0: an implementation of Ecopath with Ecosim in Fortran 95/2003 for coupling and integration with other models

2015 ◽  
Vol 8 (8) ◽  
pp. 2687-2699 ◽  
Author(s):  
E. Akoglu ◽  
S. Libralato ◽  
B. Salihoglu ◽  
T. Oguz ◽  
C. Solidoro
Keyword(s):  
Food Web ◽  
Multiple Stressors ◽  
Marine Ecosystem ◽  
Ecosystem Approach ◽  
Integrated Modelling ◽  
Biogeochemical Model ◽  
Ecopath With Ecosim ◽  
Northern Adriatic Sea ◽  
Seamless Integration ◽  
Northern Adriatic

Abstract. Societal and scientific challenges foster the implementation of the ecosystem approach to marine ecosystem analysis and management, which is a comprehensive means of integrating the direct and indirect effects of multiple stressors on the different components of ecosystems, from physical to chemical and biological and from viruses to fishes and marine mammals. Ecopath with Ecosim (EwE) is a widely used software package, which offers capability for a dynamic description of the multiple interactions occurring within a food web, and, potentially, a crucial component of an integrated platform supporting the ecosystem approach. However, being written for the Microsoft .NET framework, seamless integration of this code with Fortran-based physical and/or biogeochemical oceanographic models is technically not straightforward. In this work we release a re-coding of EwE in Fortran (EwE-F). We believe that the availability of a Fortran version of EwE is an important step towards setting up coupled/integrated modelling schemes utilising this widely adopted software because it (i) increases portability of the EwE models and (ii) provides additional flexibility towards integrating EwE with Fortran-based modelling schemes. Furthermore, EwE-F might help modellers using the Fortran programming language to get close to the EwE approach. In the present work, first fundamentals of EwE-F are introduced, followed by validation of EwE-F against standard EwE utilising sample models. Afterwards, an end-to-end (E2E) ecological representation of the Gulf of Trieste (northern Adriatic Sea) ecosystem is presented as an example of online two-way coupling between an EwE-F food web model and a biogeochemical model. Finally, the possibilities that having EwE-F opens up are discussed.

scholarly journals EwE-F 1.0: an implementation of Ecopath with Ecosim in Fortran 95/2003 for coupling

2015 ◽  
Vol 8 (2) ◽  
pp. 1511-1537 ◽  
Author(s):  
E. Akoglu ◽  
S. Libralato ◽  
B. Salihoglu ◽  
T. Oguz ◽  
C. Solidoro
Keyword(s):  
Food Web ◽  
Multiple Stressors ◽  
Marine Ecosystem ◽  
Ecosystem Approach ◽  
Biogeochemical Model ◽  
Ecopath With Ecosim ◽  
Northern Adriatic Sea ◽  
Seamless Integration ◽  
Northern Adriatic ◽  
Biogeochemical Models

Abstract. Societal and scientific challenges foster the implementation of the ecosystem approach to marine ecosystem analysis and management, which is a comprehensive means of integrating the direct and indirect effects of multiple stressors on the different components of ecosystems, from physical to chemical and biological and from viruses to fishes and marine mammals. Ecopath with Ecosim (EwE) is a widely used software package, which offers great capability for a dynamic description of the multiple interactions occurring within a food web, and potentially, a crucial component of an integrated platform supporting the ecosystem approach. However, being written for the Microsoft .NET framework, seamless integration of this code with Fortran-based physical oceanographic and/or biogeochemical models is technically not straightforward. In this work we release a re-coding of EwE in Fortran (EwE-F). We believe that the availability of a Fortran version of EwE is an important step towards setting-up integrated end-to-end (E2E) modelling schemes utilising this widely adopted software because it (i) increases portability of the EwE models, (ii) provides greater flexibility towards integrating EwE with Fortran-based modelling schemes. Furthermore, EwE-F might help modellers using Fortran programming language to get close to the EwE approach. In the present work, first the fundamentals of EwE-F are introduced, followed by validation of EwE-F against standard EwE utilising sample models. Afterwards, an E2E ecological representation of the Trieste Gulf (Northern Adriatic Sea) ecosystem is presented as an example of online two-way coupling between an EwE-F food web model and a biogeochemical model. Finally, the possibilities that having EwE-F opens up for are discussed.

Organic matter flow in the food web at a temperate heath under multifactorial climate change

2011 ◽  
Vol 25 (11) ◽  
pp. 1485-1496 ◽  
Author(s):  
Louise C. Andresen ◽  
Heidi S. Konestabo ◽  
Kristine Maraldo ◽  
Martin Holmstrup ◽  
Per Ambus ◽  
...  
Keyword(s):  
Climate Change ◽  
Organic Matter ◽  
Food Web ◽  
Matter Flow

Interplay between resistance and resilience governs the stability of a freshwater microbial food web under multiple stressors

2019 ◽  
Vol 691 ◽  
pp. 908-918 ◽  
Author(s):  
Marco J. Cabrerizo ◽  
Juan Manuel Medina-Sánchez ◽  
Manuel Villar-Argaiz ◽  
Presentación Carrillo
Keyword(s):  
Food Web ◽  
Multiple Stressors ◽  
Microbial Food Web ◽  
The Stability
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