Increased forest cover and limits on clear-felling could substantially reduce landslide occurrence in Tasman, New Zealand.

Abstract

Background: Landslides can cause substantial environmental, social and economic impacts. Under future climate scenarios the frequency of landslide-triggering events is likely to increase. Land managers, therefore, urgently require reliable high-resolution landslide susceptibility models to inform effective landslide risk assessment and management. Methods: In this study, gridded rainfall, topography, lithology and land cover surfaces were used to develop a high-resolution (10 m x 10 m) spatial model of landslides that occurred in Tasman, New Zealand during a period when ex-tropical Cyclone Gita brought heavy rain to the region. We separately modelled landslides in the same dataset as a function of the erosion susceptibility classification (ESC) data layer used to determine the level of control applied to forestry activities under the National Environmental Standards for Plantation Forestry (NES-PF). Models were fit using boosted regression trees. Results: Our preferred model had excellent predictive power (AUROC = 0.93) and included the parameters: aspect, elevation, mid-slope position, land cover, rainfall, slope, and a descriptive seven-class topographical index. Land cover, elevation, rainfall, slope and aspect were the strongest predictors of landslides with the land cover classes ‘seral native vegetation’ and clear-felled plantation forest’ predicting higher probabilities of landslides and tall native forest and closed canopy plantation forest predicting lower probabilities of landslides. The ESC was a poor predictor of landslides in the study area (AUROC = 0.65). Conclusions: Our study shows that accurate, high-resolution landslide probability surfaces can be developed from landslide distribution, land cover, topographical and rainfall data. We also show that landslide occurrence in the Tasman region could be substantially reduced by increasing the extent of permanent forest cover and by limiting clear-fell harvest of plantation forests on landslide-prone slopes. The ESC framework that underpins the NES-PF was a poor predictor of landslides and, therefore, an unreliable basis for regulating forestry activities in the Tasman, New Zealand.

Tree root research in New Zealand: a retrospective ‘review’ with emphasis on soil reinforcement for soil conservation and wind firmness

“…This is a pressing need as changing climate is affecting the nature of many biophysical hazards (landslides, floods, wildfires, strong winds, pathogens and pests). The role of vegetation in helping manage these hazards (or contributing to them) is thus crucial for understanding how we humans interact with our physical environment (e.g., Griffiths et al 2020;Dudfield et al 2021…”

History of slope instability in the Oldina plantation, Tasmania

“…Elsewhere heavy rain following natural fires has produced similar effects (e.g., Cannon et al 2001;Shakesby & Doerr 2006;Nyman et al 2011;Langhans et al 2017;Rengers et al 2020). Partial decomposition of roots (particularly fine roots) of the harvested pines (Watson et al 1999;Ammann et al 2009;Riley et al 2013;Griffiths et al 2020) was probably a factor contributing to instability at Oldina. As has been shown in this study, landslides classified as shallow earthflows, rotational landslides, and translational landslides can generate and transport large volumes of material considerable distances from source: the 29 landslides documented at Oldina displaced a total mass of between 48400 and 72300 t of soil and rock, the bulk of which was stored on-site at the confluence of streams or behind log jams.…”