4.6 Article

Transferability of regional permafrost disturbance susceptibility modelling using generalized linear and generalized additive models

Journal

GEOMORPHOLOGY
Volume 264, Issue -, Pages 95-108

Publisher

ELSEVIER
DOI: 10.1016/j.geomorph.2016.04.011

Keywords

Permafrost disturbance; Susceptibility maps; Transferability; Generalized additive and generalized linear model

Funding

  1. ArcticNet NCE
  2. NSERC Strategic [STPGP380977 - 09]
  3. NSERC Discovery Frontiers ADAPT
  4. Garfield Weston Foundation
  5. Northern Scientific Training Program (NSTP)

Ask authors/readers for more resources

To effectively assess and mitigate risk of permafrost disturbance, disturbance-prone areas can be predicted through the application of susceptibility models. In this study we developed regional susceptibility models for permafrost disturbances using a field disturbance inventory to test the transferability of the model to a broader region in the Canadian High Arctic. Resulting maps of susceptibility were then used to explore the effect of terrain variables on the occurrence of disturbances within this region. To account for a large range of landscape characteristics, the model was calibrated using two locations: Sabine Peninsula, Melville Island, NU, and Fosheim Peninsula, Ellesmere Island, NU. Spatial patterns of disturbance were predicted with a generalized linear model (GLM) and generalized additive model (GAM), each calibrated using disturbed and randomized undisturbed locations from both locations and GIS-derived terrain predictor variables including slope, potential incoming solar radiation, wetness index, topographic position index, elevation, and distance to water. Each model was validated for the Sabine and Fosheim Peninsulas using independent data sets while the transferability of the model to an independent site was assessed at Cape Bounty, Melville Island, NU. The regional GLM and GAM validated well for both calibration sites (Sabine and Fosheim) with the area under the receiver operating curves (AUROC) > 0.79. Both models were applied directly to Cape Bounty without calibration and validated equally with AUROC's of 0.76; however, each model predicted disturbed and undisturbed samples differently. Additionally, the sensitivity of the transferred model was assessed using data sets with different sample sizes. Results indicated that models based on larger sample sizes transferred more consistently and captured the variability within the terrain attributes in the respective study areas. Terrain attributes associated with the initiation of disturbances were similar regardless of the location. Disturbances commonly occurred on slopes between 4 and 15 degrees, below Holocene marine limit, and in areas with low potential incoming solar radiation. (C) 2016 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available