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Abstract Detail

Conservation Biology

Hamilton, Laurie [1].

Rare Plant Distribution Modelling: Exploring Environmental Predictor Datasets - A Case Study in Southeast Alberta.

Rare plant distribution modelling is becoming more commonly used in to inform conservation management. Challenges in modelling are associated with uncertainties in biases that exist or are introduced in source datasets, knowledge of rare species ecology, knowledge of modelling techniques, and data handling methods. These biases persist in model output and the effects of these on model performance must be understood when applying them to various conservation management scenarios.

Through a case study in southeast Alberta, the distribution of Moquin’s sea-blite (Suaeda moquinii (Torrey) Greene), a rare grassland sub-shrub, was modelled with a focus on exploring environmental predictor datasets. Results showed that biases were reduced in the modelling study design through data handling methods, validating predictions with field observations, and comparing different predictor data treatments. However, biases persisted and the implications of these on different conservation management scenarios were identified.

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1 - Zanshin Environmental Networks Inc., CBA-ABC, Canada

rare plant
Suaeda moquinii
species distribution modelling
predictor datasets
southeast Alberta

Presentation Type: Oral Paper:Papers for Topics
Session: 66
Location: Salon 19/20/The Shaw Conference Centre
Date: Wednesday, July 29th, 2015
Time: 2:45 PM
Number: 66006
Abstract ID:1354
Candidate for Awards:Cinq Mars Award

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