Trophic structure of macroinvertebrates in alpine non-glacial streams

2017 ◽  
Author(s):  
Nina Di Cugno ◽  
Christopher T. Robinson
Keyword(s):  
Trophic Structure ◽  
Glacial Streams

scholarly journals Trophic structure of reef fishes and relationship of corallivore fishes with hard coral in Kepulauan Seribu, Jakarta

2019 ◽  
Vol 278 ◽  
pp. 012059
Author(s):  
B Prabowo ◽  
K Fahlevy ◽  
N F D Putra ◽  
M Rizqydiani ◽  
B M K Rahman ◽  
...  
Keyword(s):  
Trophic Structure ◽  
Reef Fishes ◽  
Hard Coral ◽  
Relationship Of

scholarly journals Trophic structure of an African savanna river and organic matter inputs by large terrestrial herbivores: A stable isotope approach

2018 ◽  
Vol 63 (11) ◽  
pp. 1365-1380 ◽  
Author(s):  
Frank O. Masese ◽  
Kátya G. Abrantes ◽  
Gretchen M. Gettel ◽  
Kenneth Irvine ◽  
Steven Bouillon ◽  
...  
Keyword(s):  
Organic Matter ◽  
Stable Isotope ◽  
Trophic Structure ◽  
African Savanna

Trophic structure in open waters of the marginal ice zone in the Scotia-Weddell confluence region during spring (1983)

Polar Biology ◽  
1993 ◽  
Vol 13 (6) ◽  
pp. 389-397 ◽  
Author(s):  
Thomas L. Hopkins ◽  
David G. Ainley ◽  
José J. Torres ◽  
Thomas M. Lancraft
Keyword(s):  
Trophic Structure ◽  
Marginal Ice Zone ◽  
Confluence Region

scholarly journals Upstream trophic structure modulates downstream community dynamics via resource subsidies

2017 ◽  
Vol 7 (15) ◽  
pp. 5724-5731 ◽  
Author(s):  
Eric Harvey ◽  
Isabelle Gounand ◽  
Chelsea J. Little ◽  
Emanuel A. Fronhofer ◽  
Florian Altermatt
Keyword(s):  
Trophic Structure ◽  
Community Dynamics ◽  
Resource Subsidies

scholarly journals A comparison of community and trophic structure in five marine ecosystems based on energy budgets and system metrics

2009 ◽  
Vol 81 (1-4) ◽  
pp. 47-62 ◽  
Author(s):  
Sarah Gaichas ◽  
Georg Skaret ◽  
Jannike Falk-Petersen ◽  
Jason S. Link ◽  
William Overholtz ◽  
...  
Keyword(s):  
Trophic Structure ◽  
Marine Ecosystems ◽  
Energy Budgets

Use of a Trophic Structure Test Bed to Validate a New Systems-of-Systems Resilience Metric

2020 ◽  
Author(s):  
Bryan C. Watson ◽  
Sanaya Kriplani ◽  
Marc J. Weissburg ◽  
Bert Bras
Keyword(s):  
Network Structure ◽  
Trophic Structure ◽  
Design Tool ◽  
Natural Ecosystem ◽  
Test Bed ◽  
Systems Of Systems ◽  
Network Characteristics ◽  
Biologically Inspired Design ◽  
Future Work ◽  
Structure Test

Abstract Systems of Systems (SoS) combine complex systems such as financial, transportation, energy, and healthcare systems to provide greater functionality. A failure in a constituent system, however, can render the entire SoS ineffective by causing cascading faults. One method to prevent constituent faults from compromising SoS performance is to increase the SoS’s “resilience,” a measure of the SoS’s ability to cope with these faults and efficiently recover. Attempts to engineer improved resilience require a metric to measure resilience across different SoS architectures (network arrangements). In a previous work, the System of System Resilience Metric (SoSRM) was presented as a possible solution, but this new metric requires additional testing. This work examines the key question: “How can natural ecosystem characteristics be used to validate the SoSRM metric?” We hypothesize that the analysis of a test bed of generic ecosystems will produce SoSRM values that will positively correlate with a triangular trophic structure (wide base), validating SoSRM as a useful design metric. First principles for test bed creation are presented including biodiversity, trophic structure, and the role of detritus. SoSRM is measured for 31 case studies in a trophic structure test bed. Ecosystem network structure is quantified with graph theory. SoSRM correlates as expected with ecosystem network structure (r2 = .5016, n = 31), thus providing a validation of SoSRM as a design tool. As a final check, tests are conducted to ensure SoSRM is independent of trivial network characteristics (i.e. the number of nodes or links). By validating SoSRM, we provide a foundation for future work that focuses on increasing SoS resilience with biologically inspired design heuristics.

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