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Dataset of habitat quality does not predict animal population abundance on frequently disturbed landscapes

Citation

Kunegel-Lion, Mélodie; Neilson, Eric W.; Mansuy, Nicolas; Goodsman, Devin W. (2022), Dataset of habitat quality does not predict animal population abundance on frequently disturbed landscapes, Dryad, Dataset, https://doi.org/10.5061/dryad.prr4xgxm0

Abstract

The data presented here are related to the research article entitled “Habitat quality does not predict animal population abundance on frequently disturbed landscapes”. Using an individual-based model, we simulated movement of theoretical individuals in a dynamically disturbed landscape and quantified the error of predicting population spatial relative abundance using an habitat model. This dataset provides the Earth Mover's Distance (EMD) as prediction error measure obtained in simulations with varying individual step length and disturbance frequency.

Methods

This dataset is the results of spatially-explicit simulations. It provides the difference (as calculated using the Earth mover's distance) between the animal relative abundance obtained after simulated movement and the one estimated using a habitat model depending on 1) the cumulative number of cells affected by a disturbance over time and space and 2) the average and standard deviation of the realized animal step length over time, number of individuals, and number of simulations.

Simulations and data processing are described in Kunegel-Lion et al., 2022, Ecological Modelling (https://doi.org/10.1016/j.dib.2020.105293)

Funding

Natural Resources Canada