Design and results from a national soil carbon stock benchmarking and monitoring system for agricultural land in New Zealand Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.geoderma.2025.117354
Despite the importance of soil organic carbon (SOC) stocks and stock changes, few countries are monitoring changes through time with direct soil measurements. National-scale changes of SOC stocks in New Zealand’s mineral soils, reported to meet international requirements, are currently predicted based on transitions of land use using a statistical model calibrated with historic data. However, historical data were often originally collected for purposes other than SOC monitoring and are not fully spatially representative and the current model is also based on the assumption that SOC stocks do not change through time, if land use does not change. Here, we outline the design and report benchmark results from New Zealand’s National Soil Carbon benchmarking and Monitoring programme (NSCM), where 504 sites were established to determine a robust baseline of SOC stocks for agricultural land in New Zealand, with spatially representative sampling across five broad land use classes. Mean slope-corrected SOC stocks for the 0–30 cm layer for all agricultural land on mineral soils in New Zealand were 101.3 Mg.ha−1, and 138.2 Mg.ha−1 for the 0–60 cm layer. SOC stocks in the 0–30 cm layer were highest under dairy pasture (110.7 Mg.ha−1) followed by hill country drystock pasture (104.3 Mg.ha−1), flat-rolling drystock pasture (98.7 Mg.ha−1), perennial horticulture (84.8 Mg.ha−1) and lowest under cropland (80.1 Mg.ha−1). Differences between land uses could not be attributed to land use alone, as the location of different land uses is often related to soil type and climate. Results provide spatially representative data that will feed into national soil carbon inventory reporting and is a crucial baseline against which to compare future sampling to determine if SOC stocks are changing in New Zealand’s agricultural land.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.geoderma.2025.117354
- OA Status
- gold
- Cited By
- 1
- References
- 41
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410701953Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.geoderma.2025.117354Digital Object Identifier
- Title
-
Design and results from a national soil carbon stock benchmarking and monitoring system for agricultural land in New ZealandWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-24Full publication date if available
- Authors
-
Paul L. Mudge, Georgie L. Glover-Clark, Stephen McNeill, Zach Dewhurst, Veronica Penny, Jonno Rau, E.J. McKay, C. Hedley, André Eger, Scott Fraser, N. W. Foster, Pierre Roudier, Sam McNally, Marcel Korth, Nina Koele, Sandra Dooley, Lena E. Reifschneider, Lauren O’Brien, Anthony H. Ward, Thomas Caspari, Mike Bingham, J. Gordon Arbuckle, Hamish G. Maule, Katie McCollum, Gerard Grealish, Balin B. Robertson, Maya Greet, A.R. Milnes, Louis A. SchipperList of authors in order
- Landing page
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https://doi.org/10.1016/j.geoderma.2025.117354Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.geoderma.2025.117354Direct OA link when available
- Concepts
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Benchmarking, Agriculture, Carbon stock, Stock (firearms), Agricultural land, Environmental science, Environmental resource management, Forestry, Agricultural economics, Geography, Business, Archaeology, Geology, Oceanography, Economics, Climate change, MarketingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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