Ecological network analysis for selection of indicator species for insecticide risk assessment

2016 ◽  
Author(s):  
Kelton Douglas Welch
Keyword(s):  
Risk Assessment ◽  
Network Analysis ◽  
Indicator Species ◽  
Ecological Network ◽  
Ecological Network Analysis ◽  
Selection Of

A risk assessment and prioritisation approach to the selection of indicator species for the assessment of multi-species, multi-gear, multi-sector fishery resources

Marine Policy ◽  
2018 ◽  
Vol 88 ◽  
pp. 11-22 ◽  
Author(s):  
Stephen J. Newman ◽  
Joshua I. Brown ◽  
David V. Fairclough ◽  
Brent S. Wise ◽  
Lynda M. Bellchambers ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Indicator Species ◽  
Fishery Resources ◽  
Selection Of

scholarly journals mangal - making ecological network analysis simple

2014 ◽  
Author(s):  
Timothée E Poisot ◽  
Benjamin Baiser ◽  
Jennifer A Dunne ◽  
Sonia Kéfi ◽  
Francois Massol ◽  
...  
Keyword(s):  
Network Analysis ◽  
R Package ◽  
Ecological Networks ◽  
Ecological Interactions ◽  
Ecological Network ◽  
Ecological Data ◽  
Meta Data ◽  
Ecological Network Analysis ◽  
Analysis Process ◽  
Access Data

The study of ecological networks is severely limited by (i) the difficulty to access data, (ii) the lack of a standardized way to link meta-data with interactions, and (iii) the disparity of formats in which ecological networks themselves are represented. To overcome these limitations, we conceived a data specification for ecological networks. We implemented a database respecting this standard, and released a R package ( `rmangal`) allowing users to programmatically access, curate, and deposit data on ecological interactions. In this article, we show how these tools, in conjunctions with other frameworks for the programmatic manipulation of open ecological data, streamlines the analysis process, and improves eplicability and reproducibility of ecological networks studies.

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