Introduction to Species Distribution Model in BCCVL

SDM MSDM STM MM CC ENSEMBLE

Introduction to Species Distribution Models
What is species distribution modelling? Species distribution modelling, alternatively known as environmental niche modelling, (ecological) niche modelling,...
Wed, 9 Feb, 2022 at 5:19 PM
Ecological theory of species distribution models
Species distribution models use both geographical and environmental space to predict a species realised environmental niche. Below we explore what these te...
Thu, 15 Dec, 2022 at 4:48 PM
Data for Species Distribution Models
With the increasing development of information technology, the amount of data in the world has been exploding. On top of that, there has been a large mo...
Thu, 15 Dec, 2022 at 5:09 PM
Designing an SDM
In order to design a species distribution model, think carefully about the three components of the model: the species data, the environmental data, and t...
Thu, 15 Dec, 2022 at 12:49 PM
Absence Data
Selection of absence, pseudo-absence, or background data can have profound impacts on your results. For instance, MaxEnt requires background data, which is...
Thu, 24 Nov, 2022 at 4:02 PM
Interpretation of SDM model outputs
Once you have run an experiment on EcoCommons, the results page shows you a variety of different outputs. Below is an explanation on how to interpret the ou...
Thu, 24 Feb, 2022 at 5:12 PM
Model Evaluation
It is important to understand how to interpret the output of a model. A vital step in modelling is assessing the accuracy of the model prediction, commonly ...
Thu, 24 Feb, 2022 at 6:04 PM
SDMs and Climate Change Projections
Our climate is changing due to anthropogenic influences, and this will affect all ecosystems and the species living in them. Because the survival of a speci...
Tue, 1 Mar, 2022 at 12:44 PM
Ensemble- Interpretation of model results
Why conduct an ensemble analysis?  Instead of using a single-model, or single-emissions-scenario approach to investigating species distributions you can...
Thu, 15 Dec, 2022 at 5:32 PM