Using Bayesian networks to examine consistent trends in fish farm benthic impact studies

By H. Giles. 2008

84 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/9be5fb11f8f08c8e09ad1c492bb14e6db6a878e9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. E. Johnston
2. L. Airoldi

In Oceanography

1. M. Mayer‐Pinto
2. L. Naylor
3. E. Johnston
4. Melanie J. Bishop
5. L. Airoldi
6. R. Morris
7. Lynette H. L. Loke
8. S. Connell

Citations in the corpus

• Identifying the consequences of ocean sprawl for sedimentary habitats (2017, background): “…estuarine, coastal, and marine systems to protect shorelines from erosion (Dugan et al., 2011; Nordstrom, 2014), and to support marine aquaculture (Giles, 2008; McKindsey et al., 2011; Simenstad and Fresh, 1995), renewable energy generation (Bailey et al., 2014; Gill, 2005; Langhamer, 2010;…”
• Assessing the suitability of a range of benthic indices in the evaluation of environmental impact of fin and shellfish aquaculture located in sites across Europe (2009, unknown): “However, very few studies have included a quantitative assessment of the relationships of impact parameters with site and farm characteristics, i.e. an assessment of benthic impacts from site and farm parameters (Giles, 2008).”