Determining predator identity from attack marks left in model caterpillars: guidelines for best practice

By Petah A. Low, K. Sam, C. Mcarthur, M. C. Posa, D. Hochuli. 2014

202 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/af02293e58c40596df181e725ca9e2e398a1a6ca

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. D. Thiéry
2. A. Rusch
3. B. Castagneyrol
4. L. Barbaro
5. Evalyne W. Muiruri
6. Bastien Gravellier

In Ecology, Evolution, Behavior and Systematics

1. D. Thiéry
2. A. Rusch
3. B. Castagneyrol
4. L. Barbaro

In Nature and Landscape Conservation

1. D. Thiéry
2. A. Rusch
3. B. Castagneyrol
4. L. Barbaro
5. Evalyne W. Muiruri
6. Bastien Gravellier

Citations in the corpus

• Avian pest control in vineyards is driven by interactions between bird functional diversity and landscape heterogeneity (2017, methodology): “Artificial caterpillars were exposed to predation during 10 days (between 10th and 20th of June), and the typical marks led by birds were used to assess predator identity (Low et al. 2014).”