Modelling changes in species’ abundance in response to projected climate change

By A. Renwick, D. Massimino, Stuart E. Newson, D. Chamberlain, J. Pearce‐Higgins, A. Johnston. 2012

103 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/4c149cfc22ccf3482db519f1f7fa45c57cce615d

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. Christopher M Thomas
2. James E. M. Watson
3. S. G. Willis
4. Brian Huntley
5. J. Pearce‐Higgins
6. R. A. Garcia
7. R. Gregory
8. H. Resit Akçakaya

In Ecology

1. J. Pearce‐Higgins
2. R. A. Garcia
3. R. Gregory
4. H. Resit Akçakaya
5. A. Hoffmann
6. C. Howard
7. James E. M. Watson
8. Tara G. Martin

In Nature and Landscape Conservation

1. Christopher M Thomas
2. James E. M. Watson
3. S. G. Willis
4. Brian Huntley
5. J. Pearce‐Higgins
6. R. A. Garcia
7. R. Gregory
8. H. Resit Akçakaya

Citations in the corpus

• Improving species distribution models: the value of data on abundance (2014, background): “To our knowledge, only two papers have attempted to use these abundance data to model species’ abundance at a large scale (Renwick et al. 2011; Johnston et al. 2013), yet here, we show that relatively slight increases in the information content of a training data set (the change from binary presence”
• Climate change vulnerability assessment of species (2018, background): “When modeling species abundance, the inclusion of such habitat variables is particularly important (Renwick et al., 2012).”