Projecting species' range expansion dynamics: sources of systematic biases when scaling up patterns and processes

Authored by Justin MJ Travis, Guy Pe'er, Yiannis Matsinos, Greta Bocedi, Risto K Heikkinen

Date Published: 2012

DOI: 10.1111/j.2041-210x.2012.00235.x

Sponsors: European Union

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

1. Dynamic simulation models are a promising tool for assessing how species respond to habitat fragmentation and climate change. However, sensitivity of their outputs to impacts of spatial resolution is insufficiently known. 2. Using an individual-based dynamic model for species range expansion, we demonstrate an inherent risk of substantial biases resulting from choices relating to the resolution at which key patterns and processes are modelled. 3. Increasing cell size leads to overestimating dispersal distances, the extent of the range shift and population size. Overestimation accelerates with cell size for species with short dispersal capacity and is particularly severe in highly fragmented landscapes. 4. The overestimation results from three main interacting sources: homogenisation of spatial information, alteration of dispersal kernels and stabilisation/aggregation of population dynamics. 5. We urge for caution in selecting the spatial resolution used in dynamic simulations and other predictive models and highlight the urgent need to develop upscaling methods that maintain important patterns and processes at fine scales.

Tags

Landscape scales Climate-change Population-dynamics Space Spatial spread Habitat models Ecological processes Distribution models Dispersal kernels