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

    Spiekermann, Raphael I. / Smith, Hugh G. / McColl, Sam / Burkitt, Lucy / Fuller, Ian C.

    Ecological engineering. 2022 July, v. 180

    2022  

    Abstract: 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 ... ...

    Abstract 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 non-targeted 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.
    Keywords cost effectiveness ; freshwater ; landslides ; models ; morphometry ; overland flow ; pastoralism ; pastures ; regression analysis ; sediment yield ; sediments ; storms ; turbidity ; New Zealand
    Language English
    Dates of publication 2022-07
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1127407-4
    ISSN 0925-8574
    ISSN 0925-8574
    DOI 10.1016/j.ecoleng.2022.106676
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Quantifying effectiveness of trees for landslide erosion control

    Spiekermann, Raphael I. / Smith, Hugh G. / McColl, Sam / Burkitt, Lucy / Fuller, Ian C.

    Geomorphology. 2022 Jan. 01, v. 396

    2022  

    Abstract: We developed a landslide susceptibility model using binary logistic regression for silvopastoral landscapes, which for the first time includes spatial distribution models for individual trees of different vegetation types. Models were trained and tested ... ...

    Abstract We developed a landslide susceptibility model using binary logistic regression for silvopastoral landscapes, which for the first time includes spatial distribution models for individual trees of different vegetation types. Models were trained and tested using a landslide inventory consisting of 43,000 landslide scars mapped across an 843 km² area. Model performance was very good, with a median AUROC of 0.95 in the final model used for predictions, which equates to an accuracy of 88.7% using a cut-off of 0.5. We investigate the effect of highly skewed continuous tree variables on the maximum likelihood estimator by testing different sampling strategies aimed at reducing positive skewness. With an adequate sample size, we found that highly skewed continuous predictor variables do not result in an inflation of effect size.Using two farms in the study area, we illustrate application of the landslide susceptibility model for quantifying the reduction in shallow landslide erosion due to trees. Landslide erosion was reduced by 16.6% at Site 1 and 42.9% at Site 2 due to all existing vegetation. The effectiveness of individual trees on reducing landslide erosion was shown to be less a function of species than that of targeting highly susceptible areas with adequate plant densities. We found 80% of landslides are triggered in 12.1% and 7.3% of the area of Sites 1 (1700-ha) and 2 (462-ha), respectively, suggesting there is great potential for smarter targeting of erosion mitigation. The high-resolution spatial information provided by the landslide susceptibility maps can be used by decision makers in land management to support the development and targeting of erosion mitigation measures.
    Keywords erosion control ; geomorphology ; inflation ; inventories ; land management ; landslides ; model validation ; models ; regression analysis ; sample size ; spatial data ; trees
    Language English
    Dates of publication 2022-0101
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 58028-4
    ISSN 0169-555X
    ISSN 0169-555X
    DOI 10.1016/j.geomorph.2021.107993
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Quantifying the influence of individual trees on slope stability at landscape scale.

    Spiekermann, Raphael I / McColl, Sam / Fuller, Ian / Dymond, John / Burkitt, Lucy / Smith, Hugh G

    Journal of environmental management

    2021  Volume 286, Page(s) 112194

    Abstract: Silvopastoralism in New Zealand's highly erodible hill country is an important form of erosion and sediment control. Yet, there has been little quantitative work to establish the effectiveness of space-planted trees in reducing shallow landslide erosion. ...

    Abstract Silvopastoralism in New Zealand's highly erodible hill country is an important form of erosion and sediment control. Yet, there has been little quantitative work to establish the effectiveness of space-planted trees in reducing shallow landslide erosion. We propose a method to provide high-resolution spatially explicit individual tree influence models at landscape scale for the dominant species in pastoral hill country. The combined hydrological and mechanical influence of trees on slopes is inferred through the spatial relationship between trees and landslide erosion. First, we delineate individual tree crowns and classify these into four dominant species classes found in New Zealand's pastoral hill country. This is the first species classification of individual trees at landscape scale in New Zealand using freely accessible data, achieving an overall accuracy of 92.6%. Second, we develop tree influence models for each species class by means of inductive inference. The inferred empirical tree influence models largely agree with the shape and distribution of existing physical root reinforcement models. Of exotic species that were planted for erosion and sediment control, poplars (Populus spp.) and willows (Salix spp.) make up 51% (109,000 trees) in pastoral hill country at a mean density of 3.2 trees/ha. In line with previous studies, poplars and willows have the greatest contribution to slope stability with an average maximum effective distance of 20 m. Yet, native kānuka (Kunzea spp.) is the most abundant woody vegetation species in pastoral hill country within the study area, with an average of 24.1 stems per ha (sph), providing an important soil conservation function. A large proportion (56% or 212.5 km
    MeSH term(s) Hydrology ; Landslides ; New Zealand ; Soil ; Trees
    Chemical Substances Soil
    Language English
    Publishing date 2021-02-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2021.112194
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Trade-offs between environmental and economic factors in conversion from exotic pine production to natural regeneration on erosion prone land.

    Lambie, Suzanne M / Awatere, Shaun / Daigneault, Adam / Kirschbaum, Miko U F / Marden, Michael / Soliman, Tarek / Spiekermann, Raphael I / Walsh, Patrick J

    New Zealand journal of forestry science

    2022  Volume 51, Page(s) 1–15

    Abstract: Background: Some of New Zealand's exotic pine (: Methods: We evaluated scenarios of post-harvest natural regeneration, compared to remaining in pine production, using erosion susceptibility determined from historical occurrence of landslides, gullies ...

    Abstract Background: Some of New Zealand's exotic pine (
    Methods: We evaluated scenarios of post-harvest natural regeneration, compared to remaining in pine production, using erosion susceptibility determined from historical occurrence of landslides, gullies and earthflows, biophysical growth modelling of mānuka-kānuka (
    Results: In our study area, the Gisborne Region (North Island of New Zealand), ~27% of the land has moderate-very high susceptibility to landslides, 14-22% a high probability of contributing material to waterways, and 19% moderate-very high gully erosion susceptibility. Pines grow 10 times faster than naturally regenerating mānuka-kānuka shrubland, but mānuka-kānuka is used for honey not wood production. Natural regeneration resulted in losses of $150-250 ha
    Conclusions: A mosaic of land uses within a property may sufficiently offset income losses with other benefits, whereby highly erosion-prone land is shifted from rotational pine forest production to permanent native forest cover with honey production where possible. At the regional scale in Gisborne, the conversion of the most highly susceptible land under production forestry (315-556 ha) to natural regeneration has the potential for wider benefits for soil conservation reducing erosion by 1-2.5 t yr
    Language English
    Publishing date 2022-09-03
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 186087-2
    ISSN 0048-0134
    ISSN 0048-0134
    DOI 10.33494/nzjfs512021x163x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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