Data and code from: Thresholding species distribution models: Simple approaches for land-use planning in multifunctional landscapes

Species distribution models (SDMs) are often used to understand changes to species’ distributions and their habitats under different land-use scenarios, enabling decision-makers to prioritize areas for management efforts and balance environmental conservation with socio-economic demands on the landscape. However, application of SDMs in land-use planning and Environmental Impact Assessments (EIAs) remains limited due to challenges in interpreting and communicating continuous predictions resulting from these SDMs. Although different binarization methods have been used to overcome such challenges, the choice of threshold can profoundly alter the resulting binary habitat map, and most methods lack simplicity and require access to underlying species occurrence and environmental data used to develop the SDMs. Hence, there is a demand for testing simple alternative binarization methods to enable in-house application of SDMs by practitioners and to facilitate interpretation and communication. U..., , , # Data and code from: Thresholding species distribution models: Simple approaches for land-use planning in multifunctional landscapes

[https://doi.org/10.5061/dryad.3j9kd51wk](https://doi.org/10.5061/dryad.3j9kd51wk)

## Description of the data and file structure

### Files and variables

#### File: Supplement_S1.pdf

**Description:** 

Details on ABMI bird species distribution models.

#### File: Supplement_S2.pdf

**Description:** 

Threshold values and percent of habitat suitability selected from the seven binarization thresholding methods to transform estimate of relative abundance into area of suitable habitat for all 103 bird species.

#### File: Supplement_S3.csv

**Description:** 

Data file (Supplement_S2.csv) containing the individual species responses (AUC scores) under habitat loss scenarios.

##### Variables

* ser: a unique identifier (serial number) of models
* Disturbance: Ranging from 0-100 % and present the percent of urban-industry per cell.
* Model: All 103 birds. M...,