Integrating data from different taxonomic resolutions to better estimate community alpha diversity

Integrated distribution models (IDMs), in which datasets with different properties are analysed together, are becoming widely used to model species distributions and abundance in space and time. To date, the IDM literature has focused on technical and statistical issues, such as the precision of parameter estimates and mitigation of biases arising from unstructured data sources. However, IDMs have an unrealised potential to estimate ecological properties that could not be properly derived from the source datasets if analysed separately. We present a model that estimates community alpha diversity metrics by integrating one species-level dataset of presence-absence records with a co-located dataset of group-level counts (i.e. lacking information about species identity). We illustrate the ability of community IDMs to capture the true alpha diversity through simulation studies and apply the model to data from the UK Pollinator Monitoring Scheme, to describe spatial variation in the diversit..., , , # Integrating data from different taxonomic resolutions to better estimate community alpha diversity

This repository hosts the dataset used for the paper \"Integrating data from different taxonomic resolutions to better estimate community alpha diversity\". The scripts for the analysis can be accessed with
()](). This data is a subset of the UK Pollinator Monitoring Scheme (PoMS). Check section 2.1 of the main paper for details of the PoMS survey.

## Dataset

### FIT\_counts\_with\_effort.csv

This file contains data on the Flower-Insect Transects (FIT) survey. The data contains information on the site identification (site ID), observation date (date), counts for each insect group (counts) and the number of surveys which is a measure of the effort (n_surveys).

### pantraps.csv

This file contains data on the pantrap survey. The data is collected from five pan traps. The file contains information on the site identification (site ID), observation date (date), the taxonomic group of the s...