Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models

By Alexander D.T. Vierod, J. Guinotte, Andrew J. Davies. 2014

106 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/314ea164077334a0b84d634712aa3e04771adeec

How researchers see this paper

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

In Ecological Modeling

1. M. Gogina
2. L. Buhl‐Mortensen
3. Á. Borja
4. J. Populus
5. J. Craeymeersch
6. Alexander Darr
7. Hermann Neumann
8. M. Valle

In Ecology

1. M. Gogina
2. L. Buhl‐Mortensen
3. Á. Borja
4. Hermann Neumann
5. H. Reiss
6. Gert Van Hoey
7. Steven Degraer
8. M. Zettler

In Global and Planetary Change

1. L. Buhl‐Mortensen
2. Á. Borja
3. Gert Van Hoey
4. Steven Degraer
5. I. Muxika
6. J. Bald

Citations in the corpus

• Benthos distribution modelling and its relevance for marine ecosystem management (2015, background): “Responses such as abundance or biomass reveal more information than occurrence predictions only (see above), but they have higher requirements on data quality that are less frequently met in the marine realm (Vierod et al., 2014).”