Introduction

This example species report has been produced using the cure4insect R package which a decision support tool that provides an interface to enable custom reporting for intactness and sector effects based on estimates and predictions created by the Alberta Biodiversity Monitoring Institute (ABMI).

Relative abundance by land cover types

Habitat associations in northern Alberta

Models were used to show how species’ relative abundance differed among vegetation and human footprint types in the Boreal and Foothills regions of Alberta. Predicted species abundance in each habitat type is shown with bars. Vertical lines indicate 90% confidence intervals. Dots within the forested habitat types show predicted species abundance in cutblocks of various ages.

Habitat associations in southern Alberta

Models were used to show how species, relative abundance differed among soil and human footprint types in the grassland and parkland regions of Alberta. Due to natural disturbances and vegetation succession, varying amounts of aspen and other trees may be present on each soil type; the presence/absence of trees greatly affects the presence and abundance of many biota. As such, information is presented twice for southern Alberta: once for sites with trees present, and once for sites without trees present. Predicted species abundance in each soil/human footprint type is shown with bars. Vertical lines indicate 90% confidence intervals.

Linear footprint relationships

For linear footprint in northern Alberta. The pairs of points show the change in relative abundance expected between the average habitat with no linear footprint (left point) and average habitat when 10% linear footprint is present (right point).

Predicted relative abundance throughout Alberta

Relative abundance and prediction uncertainty

Habitat association models, plus models describing how species varied spatially and with climate gradients were used to predict species abundance in 1 km\(^2\) spatial units under reference conditions. Predictions of relative abundance of the species in each 1 km\(^2\) unit were made based on the vegetation and human footprint present in the 1 km\(^2\) unit in (current condition) and after all human footprint in the 1 km\(^2\) unit had been ‘backfilled’ based on native vegetation in the surrounding area (reference condition). Pixels depicted in red are predicted to have the highest abundance for the species, grading through light tan to dark blue where the species is predicted to be less abundant or absent.

To highlight the degree of uncertainty in the models, we estimated the prediction standard error and coefficient of variation for each 10 km x 10 km units based on bootstrap predictions of current abundance. 10 km x 10 km units depicted in red have the highest standard error, while 10 km x 10 km units in dark green have the lowest.