Uncertainty analysis of species distribution models

Incorporating uncertainty in predictive species distribution modelling.

Motivated by the need to solve ecological problems (climate change, habitat fragmentation and biological invasions), there has been increasing interest in species distribution models (SDMs). Predictions from these models inform conservation policy, invasive species management and disease-control measures. However, predictions are subject to uncertainty, the degree and source of which is often u...

Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models.

Concern over rapid global changes and the potential for interactions among multiple threats are prompting scientists to combine multiple modelling approaches to understand impacts on biodiversity. A relatively recent development is the combination of species distribution models, land-use change predictions, and dynamic population models to predict the relative and combined impacts of climate ch...

Seductive Simulations? Uncertainty Distribution Around Climate Models

This paper discusses the distribution of certainty around General Circulation Models (GCMs) – computer models used to project possible global climatic changes due to human emissions of greenhouse gases. It examines the trope of distance underpinning Donald MacKenzie’s concept of ‘certainty trough’, and calls for a more multi-dimensional and dynamic conceptualization of how uncertainty is distri...

Fitting of Species Frequency Distribution Models in Woody Societies in Rangelands of Gouradarah, Gechigiran Ahar

     One of the important goals of natural resource management is to conserve plant diversity in the ecosystem so that sites are more productive and more ecologically stable at the various situations. Different diversity indices have been presented to study the species status of natural ecosystems. One of these indicators is the use of empirical distribution models that each of these models ind...

Estimating consensus and associated uncertainty between inherently different species distribution models