Data and code from: The neglected pollinators: Settling moths are keystone floral visitors essential to network connectivity and tropical forest recovery

The underrepresentation of nocturnal taxa in ecological research constitutes the “nocturnal problem”. A significant example is settling (i.e., non-sphingid) moths, coined as \"needles in a haystack,\" given the uncertainty of their role as pollinators. Using high-throughput pollen metabarcoding, we compiled interactions from 24400 individuals from 504 species of tropical diurnal and nocturnal pollinators. We investigated the role of different functional groups in a comprehensive pollen transfer network, employing tiger moths (Erebidae: Arctiinae) as a model to disentangle the effect of settling moths on network connectivity along a recovery chronosequence. Tiger moths were central generalists, amassing more interactions with plants than any other pollinator group, and were the main connecting agents between network modules. Moreover, they served as network hubs alongside pioneer plant genera, which were their primary resources. Tiger moth dominance was maintained throughout four decades o..., , # Data and code from: The neglected pollinators: Settling moths are keystone floral visitors essential to network connectivity and tropical forest recovery

Dataset DOI: [10.5061/dryad.sxksn03gp](https://doi.org/10.5061/dryad.sxksn03gp)

## Description of the data and file structure

The provided code and data sheets are linked to the manuscript \"The neglected pollinators: settling moths are keystone floral visitors essential for network connectivity and tropical forest recovery\". Submitted to: Proceedings of the Royal Society B. The dataset includes data on the abundance of pollinators (tiger moths, hawkmoths, diurnal bees, nocturnal bees, and bats) sampled at a regeneration gradient in the lowland Chocó forests of Ecuador. Additionally, data on their interaction networks with plants, assessed via metabarcoding, are included. Data were collected in 2022 and 2023 in 62 plots. 

### Files and variables

#### File: analyses.R

**Description:** R script to perform all the analysis. Please ...,