4.6 Article

Development of a morphometric connectivity model to mitigate sediment derived from storm-driven shallow landslides

Journal

ECOLOGICAL ENGINEERING
Volume 180, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecoleng.2022.106676

Keywords

Sediment connectivity; Shallow landslides; erosion mitigation; Silvopastoralism; Cost-effectiveness

Funding

  1. New Zealand Ministry of Business, Innovation and Employment research program [C09X1804]
  2. Strategic Science Investment Fund (SSIF)
  3. New Zealand Ministry of Business, Innovation & Employment (MBIE) [C09X1804] Funding Source: New Zealand Ministry of Business, Innovation & Employment (MBIE)

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In silvopastoral environments, landslide erosion can cause the loss of productive soils and pasture, as well as the degradation of freshwater and marine ecosystems. This study explores the determinants of sediment connectivity and develops a morphometric connectivity model to predict the likelihood of sediment delivery to streams after a landslide event. Results show that targeted mitigation measures are more cost-effective than non-targeted approaches, and tree planting on a small portion of the land can significantly reduce sediment delivery.
In silvopastoral environments, landslide erosion results in loss of productive soils and pasture. Sediment delivered to streams from landslides contributes to the degradation of freshwater and marine receiving environments by smothering benthic habitats and increasing turbidity, light attenuation, and sediment-bound contaminants. Biological mitigation is an important strategy in pastoral environments to combat landslide erosion and improve the health of downstream aquatic ecosystems. Using lasso logistic regression, we investigate determinants of sediment connectivity for a landslide-triggering storm event in 1977 in the Wairarapa, New Zealand. Furthermore, we develop the first morphometric connectivity model to predict the likelihood of sediment delivery to streams following landslide initiation. We explore a range of connectivity scenarios by defining a set of sinks and simulating varying rates of sediment generation during flood events of increasing magnitude. The likelihood of sediment delivery is greatly enhanced where landslide deposits coalesce. Besides scar size variables, overland flow distance and vertical distance to sink were the most important morphometric predictors of connectivity. When scar size variables were removed from the connectivity model, median AUROC was reduced from 0.88 to 0.75. By coupling landslide susceptibility and connectivity predictions in a modular form, we quantify the cost effectiveness of targeted versus non-targeted approaches to shallow landslide mitigation. Sediment delivery ratios range from 0.21 to 0.29, equating to an event sediment yield of 3548 t km-2 to 9033 t km 2. Targeted mitigation of landslide-derived sediment is approximately an order of magnitude more cost-effective than a nontargeted approach. Compared with a pasture-only baseline, a 34% reduction in sediment delivery can be achieved by increasing slope stability through spaced tree planting on 6.5% of the pastoral land. The maximum reduction achievable through comprehensive coverage of widely spaced planting is 56%. The landslide connectivity model provides an objective method to support management decisions relating to mitigation of landslide erosion and sediment delivery to streams.

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