Automated Author ProfileWoodward, Guy
Woodward, Guy
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 26.7 (sum of 28 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- Kordas, Rebecca ;
- Pawar, Samraat ;
- Kontopoulos, Dimitrios-Georgios ;
- Woodward, Guy ;
- O'Gorman, Eoin
- Global warming is one of the greatest threats to the persistence of populations: increased metabolic demands should strengthen pairwise species interactions, which could destabilise food webs at the higher organisational levels. Quantifying the temperature dependence of consumer-resource interactions is thus essential for predicting ecological responses to warming. 2. We explored feeding interactions between different predator-prey pairs in temperature-controlled chambers and in a system of naturally-heated streams. We found consistent temperature dependence of attack rates across experimental settings, though the magnitude and activation energy of attack rate was specific to each predator, which varied in mobility and foraging mode. 3. We used these parameters along with metabolic rate measurements to estimate energetic efficiency and population abundance with warming. Energetic efficiency accurately estimated field abundance of a mobile predator that struggled to meet its metabolic demands, but was a poor predictor for a sedentary predator that operated well below its energetic limits. Temperature effects on population abundance may thus be strongly dependent on whether organisms are regulated by their own energy intake or interspecific interactions. 4. Given the widespread use of functional response parameters in ecological modelling, reconciling outcomes from laboratory and field studies increases the confidence and precision with which we can predict warming impacts on natural systems.
Authors
- Archer, Louise C. ;
- Sohlström, Esra H. ;
- Gallo, Bruno ;
- Jochum, Malte ;
- Woodward, Guy ;
- Kordas, Rebecca L. ;
- Rall, Björn C. ;
- O'Gorman, Eoin J.
No description available
Authors
- Archer, Louise C. ;
- Sohlström, Esra H. ;
- Gallo, Bruno ;
- Jochum, Malte ;
- Woodward, Guy ;
- Kordas, Rebecca L. ;
- Rall, Björn C. ;
- O'Gorman, Eoin J.
No description available
Authors
- Archer, Louise ;
- Sohlström, Esra H. ;
- Gallo, Bruno ;
- Jochum, Malte ;
- Woodward, Guy ;
- Kordas, Rebecca L. ;
- Rall, Björn C. ;
- O'Gorman, Eoin J.
No description available
Authors
- Andujar, Carmelo ;
- Arribas, Paula ;
- Gray, Clare ;
- Bruce, Katherine ;
- Woodward, Guy ;
- Yu, Douglas ;
- Vogler, Alfried
No description available
Authors
- Andujar, Carmelo ;
- Arribas, Paula ;
- Gray, Clare ;
- Bruce, Katherine ;
- Woodward, Guy ;
- Yu, Douglas ;
- Vogler, Alfried
The food-web graph index data contains the number of nodes (species) and the number of edges (trophic relations between species) for each maize entry. Values in degree represents the number of trophic links toward the species in food web (number of other species feeding with this species). Values out degree represents the number of trophic links from the species (number of other species eaten by the species). K indexes or keystone index are quantitative rank of species by their topological importance. As the K index increase the species importance are higher in the functioning of the food-web.
Sample 1_Pitfall Traps_2007-2008 contains arthropods data collected with pitfall traps in different maize development stages. (eight leaves stage (V8), twelve leaves stage (V12), vegetative stage, tasseling (VT) and reproductive stage, milk (R3)).
Sample 2_Yellow Traps_2007-2008 contains arthropods data collected with yellow traps in different maize development stages. (eight leaves stage (V8), twelve leaves stage (V12), vegetative stage, tasseling (VT) and reproductive stage, milk (R3)).
Sample 3_Plant Assessment_2007-2008 contains arthropods data assessed from plants in different maize development stages. (eight leaves stage (V8), twelve leaves stage (V12), vegetative stage, tasseling (VT) and reproductive stage, milk (R3)).
Sample 4_Weed coverage_2007-2008 contains weed assessment in different maize development stages. (eight leaves stage (V8), twelve leaves stage (V12), vegetative stage, tasseling (VT) and reproductive stage, milk (R3)).
Authors
- Pálinkás, Zoltán ;
- Zalai, Mihály ;
- Szénási, Ágnes ;
- Dorner, Zita ;
- Kiss, József ;
- North, Samuel ;
- Woodward, Guy ;
- Balog, Adalbert
Statistics of the power functions.
Authors
- Dangles, Olivier ;
- Carpio, Carlos ;
- Woodward, Guy
Nonmetric multidimensional scaling analysis of beetle assemblages among the 10 different samples micro-habitats.
Authors
- Dangles, Olivier ;
- Carpio, Carlos ;
- Woodward, Guy
Nonmetric multidimensional scaling analysis of beetle assemblages among the 10 different samples micro-habitats.
Authors
- Dangles, Olivier ;
- Carpio, Carlos ;
- Woodward, Guy