Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea
Examples of state changes in three aquatic ecosystems (the Neuse River estuary, NC, USA, the Kromme River estuary (St. Francis Bay, South Africa), the St. Marks National Wildlife Refuge, FL, USA) over time have been quantitatively assessed using ecological network analysis (ENA). A suite of ENA indi...
Published in: | Estuarine, Coastal and Shelf Science |
---|---|
Main Author: | |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
2011
|
Subjects: | |
Online Access: | http://hdl.handle.net/10019.1/16696 http://www.scopus.com/inward/record.url?eid=2-s2.0-79960070027&partnerID=40&md5=2671ee113bbffa36ea033764c2e453f6 https://doi.org/10.1016/j.ecss.2011.06.006 |
id |
ftunstellenbosch:oai:scholar.sun.ac.za:10019.1/16696 |
---|---|
record_format |
openpolar |
spelling |
ftunstellenbosch:oai:scholar.sun.ac.za:10019.1/16696 2023-11-12T04:16:18+01:00 Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea Baird, D. 2011-10-13 http://hdl.handle.net/10019.1/16696 http://www.scopus.com/inward/record.url?eid=2-s2.0-79960070027&partnerID=40&md5=2671ee113bbffa36ea033764c2e453f6 https://doi.org/10.1016/j.ecss.2011.06.006 unknown Estuarine, Coastal and Shelf Science http://www.scopus.com/inward/record.url?eid=2-s2.0-79960070027&partnerID=40&md5=2671ee113bbffa36ea033764c2e453f6 2727714 doi:10.1016/j.ecss.2011.06.006 http://hdl.handle.net/10019.1/16696 declining prey ecosystem state changes energy flow models German Wadden Sea invasive species simulation modelling Sylt -Romo Bight Article in Press 2011 ftunstellenbosch https://doi.org/10.1016/j.ecss.2011.06.006 2023-10-22T07:36:29Z Examples of state changes in three aquatic ecosystems (the Neuse River estuary, NC, USA, the Kromme River estuary (St. Francis Bay, South Africa), the St. Marks National Wildlife Refuge, FL, USA) over time have been quantitatively assessed using ecological network analysis (ENA). A suite of ENA indices were compared among the multiple states of these ecosystems to illustrate the usefulness of ENA for describing differences among system states. Quantitative network models were constructed for the Sylt-Rømø Bight ecosystem and for the mussel bed subsystem of the Bight, depicting standing stocks of the living and non-living components and flow of carbon [a surrogate for energy] between them. These models consist of 59 compartments, and were assessed by means of ENA protocols. The impact of invasive species, such as the Pacific oyster, Crassostrea gigas, on existing mussel beds [of Mytilus edulis], and on predators [mainly birds] dependent on mussels for energy were assessed using AUTOMOD, a routine that predict the impact of species on each other within the ecosystem model. Predictive modelling clearly shows variability in bird biomass due to change in abundance of their important prey species at lower trophic levels. The simulations illustrated that the numbers of eider duck and oystercatcher in the Bight could be reduced to 50% of their current abundance within about 10 years at a 20%-40% reduction in prey biomass. Ecosystem properties calculated using ENA for the initial and alternate state of the Bight and the mussel beds after a simulated reduction of 40% in prey biomass show a decline in virtually all metrics (Total System Throughput, Development Capacity, Ascendency, Redundancy), system trophic efficiency, cycling, and system ratios (e.g. Average Mutual Information, Flow Diversity, Food Web Connectance). © 2011 Elsevier Ltd. All rights reserved. Article in Press Article in Journal/Newspaper Crassostrea gigas Pacific oyster Stellenbosch University: SUNScholar Research Repository Francis Bay ENVELOPE(-100.146,-100.146,58.893,58.893) Pacific Estuarine, Coastal and Shelf Science 108 144 154 |
institution |
Open Polar |
collection |
Stellenbosch University: SUNScholar Research Repository |
op_collection_id |
ftunstellenbosch |
language |
unknown |
topic |
declining prey ecosystem state changes energy flow models German Wadden Sea invasive species simulation modelling Sylt -Romo Bight |
spellingShingle |
declining prey ecosystem state changes energy flow models German Wadden Sea invasive species simulation modelling Sylt -Romo Bight Baird, D. Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea |
topic_facet |
declining prey ecosystem state changes energy flow models German Wadden Sea invasive species simulation modelling Sylt -Romo Bight |
description |
Examples of state changes in three aquatic ecosystems (the Neuse River estuary, NC, USA, the Kromme River estuary (St. Francis Bay, South Africa), the St. Marks National Wildlife Refuge, FL, USA) over time have been quantitatively assessed using ecological network analysis (ENA). A suite of ENA indices were compared among the multiple states of these ecosystems to illustrate the usefulness of ENA for describing differences among system states. Quantitative network models were constructed for the Sylt-Rømø Bight ecosystem and for the mussel bed subsystem of the Bight, depicting standing stocks of the living and non-living components and flow of carbon [a surrogate for energy] between them. These models consist of 59 compartments, and were assessed by means of ENA protocols. The impact of invasive species, such as the Pacific oyster, Crassostrea gigas, on existing mussel beds [of Mytilus edulis], and on predators [mainly birds] dependent on mussels for energy were assessed using AUTOMOD, a routine that predict the impact of species on each other within the ecosystem model. Predictive modelling clearly shows variability in bird biomass due to change in abundance of their important prey species at lower trophic levels. The simulations illustrated that the numbers of eider duck and oystercatcher in the Bight could be reduced to 50% of their current abundance within about 10 years at a 20%-40% reduction in prey biomass. Ecosystem properties calculated using ENA for the initial and alternate state of the Bight and the mussel beds after a simulated reduction of 40% in prey biomass show a decline in virtually all metrics (Total System Throughput, Development Capacity, Ascendency, Redundancy), system trophic efficiency, cycling, and system ratios (e.g. Average Mutual Information, Flow Diversity, Food Web Connectance). © 2011 Elsevier Ltd. All rights reserved. Article in Press |
format |
Article in Journal/Newspaper |
author |
Baird, D. |
author_facet |
Baird, D. |
author_sort |
Baird, D. |
title |
Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea |
title_short |
Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea |
title_full |
Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea |
title_fullStr |
Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea |
title_full_unstemmed |
Assessment of observed and perceived changes in ecosystems over time, with special reference to the Sylt-Romo Bight, German Wadden Sea |
title_sort |
assessment of observed and perceived changes in ecosystems over time, with special reference to the sylt-romo bight, german wadden sea |
publishDate |
2011 |
url |
http://hdl.handle.net/10019.1/16696 http://www.scopus.com/inward/record.url?eid=2-s2.0-79960070027&partnerID=40&md5=2671ee113bbffa36ea033764c2e453f6 https://doi.org/10.1016/j.ecss.2011.06.006 |
long_lat |
ENVELOPE(-100.146,-100.146,58.893,58.893) |
geographic |
Francis Bay Pacific |
geographic_facet |
Francis Bay Pacific |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_relation |
Estuarine, Coastal and Shelf Science http://www.scopus.com/inward/record.url?eid=2-s2.0-79960070027&partnerID=40&md5=2671ee113bbffa36ea033764c2e453f6 2727714 doi:10.1016/j.ecss.2011.06.006 http://hdl.handle.net/10019.1/16696 |
op_doi |
https://doi.org/10.1016/j.ecss.2011.06.006 |
container_title |
Estuarine, Coastal and Shelf Science |
container_volume |
108 |
container_start_page |
144 |
op_container_end_page |
154 |
_version_ |
1782333435148238848 |