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Modelling soil loss from surface erosion at high-resolution to better understand sources and drivers across land uses and catchments; a national-scale assessment of Aotearoa, New Zealand

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journal contribution
posted on 2023-05-03, 19:28 authored by Mitchell Donovan
Soil erosion is a significant challenge for agricultural regions, with cascading impacts to waterways, land productivity, soil carbon, and ecological health. We provide the first national-scale soil erosion model that incorporates the impacts of grazing on ground cover (Cgr) and soil erodibility (Ktr) into the RUSLE framework. Surface erosion rates for winter-forage paddocks (11 t ha−1 y−1) were substantially higher than pastoral grasslands (0.83 t ha−1 y−1), woody grasslands (0.098 t ha−1 y−1), forests (0.103 t ha−1 y−1) and natural soil production rates (≤1–2 t ha−1 y−1). Validation with empirical measurements from sediment traps, sediment cores, and chemical fingerprinting demonstrated strong linear regressions (r2 = 0.86). Terrain impacted soil erosion directly through slope steepness and flow convergence and indirectly through strong orographic effects on rainfall erosivity (r2 = 0.39–0.83). Annual surface erosion across Aotearoa New Zealand could reach 16.5-29.2 Mt y−1, representing ∼$20M annually and up to 24–31% of sediment yield for two catchments.

Funding

New Zealand Ministry for Business, Innovation and Employment’s Our Land and Water National Science Challenge (Toitū te Whenua, Toiora te Wai), contract C10X1901 [Phase 2] / C10X1507 [Phase 1]

History

Rights statement

© 2021 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license

Publication date

2021-10-28

Project number

  • Non revenue

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Environmental Modelling & Software

ISSN

1364-8152

Volume/issue number

47

Page numbers

105228

Citation

Donovan, M. (2021). Modelling soil loss from surface erosion at high-resolution to better understand sources and drivers across land uses and catchments; a national-scale assessment of Aotearoa, New Zealand. Environmental Modelling & Software, 147, 105228. https://doi.org/10.1016/j.envsoft.2021.105228

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