Automated Author ProfileTena, Alejandro
Instituto Valenciano de Investigaciones Agrarias0000-0002-5001-4334
Tena, Alejandro
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: 7.0 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset and R codes of "The effects of ants on pest control: a meta-analysis" by Anjos et al. (2023). We searched for papers in Web of Science© and Scopus© databases using all available years up to 31st March 2021. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol for paper search (Moher et al., 2000). We used the following key terms in our search: “ant” AND “biological” AND “control”. To complement our dataset, we searched for more studies in recent reviews (Anjos et al., 2021; Diamé et al., 2018; Drummond and Choate, 2011; Offenberg, 2015; Rosumek et al., 2009; Thurman et al., 2019; Trager et al., 2010; van Mele et al., 2008). We selected studies according to two criteria. Studies must have: (i) investigated ant effects on abundance of pests or natural enemies, or effects of ants on plant damage (i.e., damaged leaves or fruit, lost fruit or lost leaf area) or crop yield (i.e., fruit production and fruit biomass); (ii) experimentally evaluated the influence of ants by contrasting ant presence with ant exclusion (e.g., ants have been excluded using physical or chemical barriers) on agrosystems. Our initial search identified 2,682 studies (1207 in Web of Science© and 1475 in Scopus©) that were potentially appropriate for our review. Of these, 678 were eliminated because they were duplicates and 1953 because they were not about the subject of interest or they were not about studies that compared the ant presence and exclusion protocols (Supporting Information, Fig. S1). Then, after applying our initial inclusion criteria (i, ii), 52 studies from our search remained in our dataset (Supporting Information, Table S1). Overall, these studies provided 857 cases (gathered through effect size estimates) for our analyses
Authors
- Anjos, Diego ;
- Tena, Alejandro ;
- Viana-Junior, Arleu ;
- Carvalho, Raquel ;
- Torezan-Silingardi, Helena Maura ;
- Del-Claro, Kleber ;
- Perfecto, Ivette
Dataset and R codes of "The effects of ants on pest control: a meta-analysis" by Anjos et al. (2023). We searched for papers in Web of Science© and Scopus© databases using all available years up to 31st March 2021. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol for paper search (Moher et al., 2000). We used the following key terms in our search: “ant” AND “biological” AND “control”. To complement our dataset, we searched for more studies in recent reviews (Anjos et al., 2021; Diamé et al., 2018; Drummond and Choate, 2011; Offenberg, 2015; Rosumek et al., 2009; Thurman et al., 2019; Trager et al., 2010; van Mele et al., 2008). We selected studies according to two criteria. Studies must have: (i) investigated ant effects on abundance of pests or natural enemies, or effects of ants on plant damage (i.e., damaged leaves or fruit, lost fruit or lost leaf area) or crop yield (i.e., fruit production and fruit biomass); (ii) experimentally evaluated the influence of ants by contrasting ant presence with ant exclusion (e.g., ants have been excluded using physical or chemical barriers) on agrosystems. Our initial search identified 2,682 studies (1207 in Web of Science© and 1475 in Scopus©) that were potentially appropriate for our review. Of these, 678 were eliminated because they were duplicates and 1953 because they were not about the subject of interest or they were not about studies that compared the ant presence and exclusion protocols (Supporting Information, Fig. S1). Then, after applying our initial inclusion criteria (i, ii), 52 studies from our search remained in our dataset (Supporting Information, Table S1). Overall, these studies provided 857 cases (gathered through effect size estimates) for our analyses
Authors
- Anjos, Diego ;
- Tena, Alejandro ;
- Viana-Junior, Arleu ;
- Carvalho, Raquel ;
- Torezan-Silingardi, Helena Maura ;
- Del-Claro, Kleber ;
- Perfecto, Ivette
Dataset and R codes of "The effects of ants on pest control: a meta-analysis" by Anjos et al. (2023). We searched for papers in Web of Science© and Scopus© databases using all available years up to 31st March 2021. We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol for paper search (Moher et al., 2000). We used the following key terms in our search: “ant” AND “biological” AND “control”. To complement our dataset, we searched for more studies in recent reviews (Anjos et al., 2021; Diamé et al., 2018; Drummond and Choate, 2011; Offenberg, 2015; Rosumek et al., 2009; Thurman et al., 2019; Trager et al., 2010; van Mele et al., 2008). We selected studies according to two criteria. Studies must have: (i) investigated ant effects on abundance of pests or natural enemies, or effects of ants on plant damage (i.e., damaged leaves or fruit, lost fruit or lost leaf area) or crop yield (i.e., fruit production and fruit biomass); (ii) experimentally evaluated the influence of ants by contrasting ant presence with ant exclusion (e.g., ants have been excluded using physical or chemical barriers) on agrosystems. Our initial search identified 2,682 studies (1207 in Web of Science© and 1475 in Scopus©) that were potentially appropriate for our review. Of these, 678 were eliminated because they were duplicates and 1953 because they were not about the subject of interest or they were not about studies that compared the ant presence and exclusion protocols (Supporting Information, Fig. S1). Then, after applying our initial inclusion criteria (i, ii), 52 studies from our search remained in our dataset (Supporting Information, Table S1). Overall, these studies provided 857 cases (gathered through effect size estimates) for our analyses
Authors
- Anjos, Diego ;
- Tena, Alejandro ;
- Viana-Junior, Arleu ;
- Carvalho, Raquel ;
- Torezan-Silingardi, Helena Maura ;
- Del-Claro, Kleber ;
- Perfecto, Ivette
One of the most studied and best-known mutualistic relationships between insects is that between ants and phloem-feeding insects. Ants feed on honeydew excreted by phloem-feeding insects and, in exchange, attack the phloem feeders’ natural enemies, including parasitic wasps. However, parasitic wasps are under selection to exploit information on hazards and avoid them. Here, we tested whether parasitic wasps detect the previous presence of ants attending colonies of phloem feeders. Behavioural assays demonstrate that wasps left colonies previously attended by ants more frequently than control colonies. This behaviour has a cost for the parasitic wasp as females inserted their ovipositor in fewer hosts per colony. In a further bioassay, wasps spent less time on papers impregnated with extracts of the ant cues than on control papers. GC/MS analyses demonstrated that ants left a blend of cuticular hydrocarbons when they attended colonies of phloem feeders. These cuticular hydrocarbons are deposited passively when ants search for food. Overall, these results suggest, for the first time, that parasitic wasps of honeydew producers detect the previous presence of mutualistic ants through contact infochemicals. We anticipate such interactions to be widespread and to have implications in numerous ecosystems, as phloem feeders are usually tended by ants.
Authors
- Tena, Alejandro