Distribution of cranberry blue butterflies (Agriades optilete) and their responses to forest disturbance from in situ oil sands and wildfires

Federico Riva, John Acorn, SE Nielsen

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Cranberry blues (Agriades optilete) are butterflies of conservation interest worldwide. Less than 20 populations are known in Alberta, Canada, mostly inhabiting boreal forests that are increasingly fragmented by oil sands developments and subject to wildfires. We modeled the abundance of cranberry blues in the boreal forests of Alberta'sWood Buffalo Region as a function of forest characteristics, presence of disturbances associated with in situ oil sands exploration, and wildfire disturbance, while accounting for butterfly detectability as a function of sampling conditions. We counted 188 cranberry blues during 1280 samples, discovering 14 unknown populations using a species distribution model based on forest wetness and canopy height. Probability of detection peaked around 5th July, and at higher temperatures and in the absence of wind, with cranberry blues preferring wetter treed peatland forests with low canopy heights. Seismic lines were positively related to the abundance of cranberry blues (400% increase), while exploratory well pads and wildfires were negatively related (60% and 90% loss, respectively). Overall, cranberry blue populations are small and locally sensitive to both natural and anthropogenic disturbances. Despite a narrow habitat specificity, cranberry blues seem more widely distributed than previously thought in northern Alberta (57% of the study area deemed suitable).
Original languageEnglish
Article number112
Pages (from-to)1-18
Number of pages18
JournalDiversity
Volume10
Issue number4
Early online date17 Oct 2018
DOIs
Publication statusPublished - Dec 2018

Bibliographical note

This article belongs to the Special Issue: Butterfly Conservation

Funding

We thank Shawn Eckert, Fionnuala Carrol and Marcel Schneider for assisting in field, and Peter Blenis for support with ggplot2 and analysis. The project was supported by Xerces Society via the Joan Mosenthal DeWind Award (RES0036460), COSIA (CRDPJ 498955), Alberta Innovates-Energy and Environmental Solutions (ABIEES 2070), Alberta Agriculture and Forestry (15GRFFM12), NSERC-CRD and the LRIGS NSERC-CREATE programme (CRD 498955-16, CREATE 397892), and Alberta Conservation Association via the ACA Grants in Biodiversity (RES0034641).

FundersFunder number
Natural Sciences and Engineering Research Council of Canada

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