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Data from: Inordinate spinescence: taxonomic revision and microtomography of the Pheidole cervicornis species group (Hymenoptera, Formicidae)
- 负责人：
- DOI：
- doi:10.5061/dryad.1j41m
- 摘要：
- The ant genus Pheidole—for all of its hyperdiversity and global ubiquity—is remarkably conservative with regard to morph
Data from: Revision and microtomography of the Pheidole knowlesi group, an endemic ant radiation in Fiji (Hymenoptera, Formicidae, Myrmicinae
- 负责人：
- Fischer, Georg
- DOI：
- doi:10.5061/dryad.7d3v4
- 摘要：
- radiation in Fiji has occurred in the hyperdiverse genus Pheidole. Most of the 17 native Fijian Pheidole belong to one of two species groups that descended
Data from: Selective logging intensity in an East African rain forest predicts reductions in ant diversity
- 负责人：
- DOI：
- doi:10.5061/dryad.8hq75j7
- 摘要：
- As natural forest ecosystems increasingly face pressure from deforestation, it is ever more important to understand the impacts of habitat fragmentation and degradation on biodiversity. Most studies of anthropogenic change in the tropics come from Southeast Asia and South America, and impacts of habitat modification are often taxon-specific. Here we empirically assessed the impact of habitat fragmentation and recent (within 25 years) and historic (>25 years ago) selective logging on the diversity of ants in the Kakamega rain forest in western Kenya, and asked whether these forms of degradation interact as multiple stressors. We found that the severity of recent selective logging was negatively related to overall species richness and abundance as well as the richness and abundance of forest specialists, but found no detrimental effect of past selective logging or habitat fragmentation on ant diversity, although habitat fragment size was correlated with estimated species richness. There was also no effect of any form of habitat degradation on the richness or abundance of open habitat specialists, even though these species often exploit niches created in disturbed environments. Ultimately, this study reveals the detrimental impact of even moderate forms of habitat degradation on insect biodiversity in the understudied African rain forests.
Data from: Evolution of the latitudinal gradient in the hyperdiverse ant genus Pheidole
- 负责人：
- DOI：
- doi:10.5061/dryad.859nv4m
- 摘要：
- data on a hyperdiverse (>1100 species) ant radiation, Pheidole, and test predictions of three general explanations for the latitudinal gradient: variation
Data from: Functional richness shows spatial scale dependency in Pheidole ant assemblages from Neotropical savannas
- 负责人：
- 关键词：
- Pheidole
- DOI：
- doi:10.5061/dryad.31201jg
- 摘要：
- d a comprehensive dataset on species assemblages of a dominant ant genus, Pheidole, in the Cerrado (savanna) biodiversity hotspot to ask how functional richness
Data from: Effect of mutualist partner identity on plant demography
- 负责人：
- DOI：
- doi:10.5061/dryad.5kc45
- 摘要：
- s parameterized with three years of census data to compare the demographic effects of two ant species - Crematogaster laevis and Pheidole minutula - on populations
Data from: A tale of scale: plot but not neighbourhood tree diversity increases leaf litter ant diversity
- 负责人：
- DOI：
- doi:10.5061/dryad.v5s547r
- 摘要：
- tree diversity at the larger plot (i.e. community) or the smaller neighbourhood scale relates to the abundance, species richness, functional, and ph
Data from: Lifespan behavioral and neural resilience in a social insect
- 负责人：
- DOI：
- doi:10.5061/dryad.m280g
- 摘要：
- brain functions. Using the ant Pheidole dentata as a model, we found that 120-day-old minor workers, having completed 86% of their laboratory lifespan, sh
Data from: Tree diversity increases robustness of multi-trophic interactions
- 负责人：
- DOI：
- doi:10.5061/dryad.847km00
- 摘要：
- Multi-trophic interactions maintain critical ecosystem functions. Biodiversity is declining globally, while responses of troph
Data from: CORIGAN: Assessing multiple species and interactions within images
- 负责人：
- DOI：
- doi:10.5061/dryad.t03b7b8
- 摘要：
- the physical interactions between various animals. On our example dataset, the model reaches 86.6% precision and 88.9% recall at the species level or even at the caste level
