We aggregated data on butterfly-host plant associations from existing sources in order to address the following questions: (1) is there a general correlation between host diversity and butterfly species richness?, (2) has the evolution of host plant use followed consistent patterns across butterfly lineages?, (3) what is the common ancestral host plant for all butterfly lineages? The compilation included 44,148 records from 5,152 butterfly species (28.6% of worldwide species of Papilionoidea) and 1,193 genera (66.3%). The overwhelming majority of butterflies use angiosperms as host plants. Fabales is used by most species (1,007 spp.) from all seven butterfly families and most subfamilies, Poales is the second most frequently used order, but is mostly restricted to two species-rich subfamilies: Hesperiinae (56.5% of all Hesperiidae), and Satyrinae (42.6% of all Nymphalidae). We found a significant and strong correlation between host plant diversity and butterfly species richness. A global test for congruence (Parafit test) was sensitive to uncertainty in the butterfly cladogram, and suggests a mixed system with congruent associations between Papilionidae and magnoliids, Hesperiidae and monocots, and the remaining subfamilies with the eudicots (fabids and malvids), but also numerous random associations. The congruent associations are also recovered as the most probable ancestral states in each node using maximum likelihood methods. The shift from basal groups to eudicots appears to be more likely than the other way around, with the only exception being a Satyrine-clade within the Nymphalidae that feed on monocots. Our analysis contributes to the visualization of the complex pattern of interactions at superfamily level and provides a context to discuss the timing of changes in host plant utilization that might have promoted diversification in some butterfly lineages.

Unsustainable harvest is one of the most important threats to biodiversity, and birds are highly impacted, but avian markets remain poorly understood. When species value and corruption/criminality are high, the “parallel trafficking” hypothesis predicts that illegal animal items will move through networks used for other illicit products. Alternatively, when particular demands, logistical skills or access limits trade, “specialized trafficking” hypotheses predict that few, expert actors will control markets. Here, we use social network analysis of trade in an Endangered songbird, the Red Siskin Spinus cucullatus, originating in Venezuela, to examine the generality of the parallel trafficking hypothesis in a setting where corruption/criminality and species value are high. In spite of these circumstances, of 2575 Red Siskin (RS) records compiled from 2010 to 2017, we found just six reports consistent with parallel trafficking. Instead, we discovered an independent network of 15 actor types, and a trade structure consistent with specialized trafficking. Just two intermediary types (national vendors to intermediaries and to consumers) and one consumer type (national breeders) had the highest exposure to the flow of birds, and the most trade connectivity. Use of wild‐caught over captive‐bred birds was high (67% of records), as was use of natural‐phenotype birds over hybrid or mutant‐phenotype birds (65% of records). Geographically, Spain and Venezuela had the highest exposure to the flow of birds, but Brazil and Colombia had the most direct connections with other countries. The unexpected lack of evidence for parallel trafficking suggests that combined flows of illicit products are not inevitable, even in adverse settings. In a context where law enforcement may not be feasible, our results suggest that it may be possible to reduce unsustainable harvest using breeder connectivity in informational campaigns to stimulate peer‐to‐peer interactions and accelerate behavior change.