Rapid soil attribute evaluation for soil security assessments in data-poor environments in the Pacific region

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dc.citation.volume16
dc.contributor.authorMoloney JP
dc.contributor.authorMa Y
dc.contributor.authorStockmann U
dc.contributor.authorManu VT
dc.contributor.authorMinoneti V
dc.contributor.authorHui ST
dc.contributor.authorHalavatau SM
dc.contributor.authorPatolo S
dc.contributor.authorTukia T
dc.contributor.authorFoliaki S
dc.contributor.authorCarter T
dc.contributor.authorMacdonald BCT
dc.contributor.authorBarringer J
dc.contributor.authorRoudier P
dc.date.accessioned2025-01-08T01:39:01Z
dc.date.available2025-01-08T01:39:01Z
dc.date.issued2024-08-09
dc.description.abstractMany global environments face increasing pressures on soil resources, and effective, scalable methods for assessment of soil condition and capital are essential to respond to tangible soil threats. This situation is common across Pacific Island Countries and Territories (PICTs), where high throughput soil analysis laboratories are limited, and issues such as soil organic carbon decline, acidification and fertility declines are present. Soil spectral inference presents an opportunity in such regions to provide rapid insights into soil capital and condition, though the need for robust calibration libraries remains a limiting factor. This work investigates the utility of a regionally appropriate spectral library, the New Zealand Soil Spectral Library (NZSSL) to support the development of soil spectral inference in data-poor environments, such as PICTs, through a case study on the island of Tongatapu in The Kingdom of Tonga. We contrast the performance of existing partial least squares regression (PLSR) models developed for New Zealand soils on soils from Tongatapu and explore the opportunities for enhancement of predictions formed through memory-based learning (MBL) supplemented with local data. Our work shows the potential for cost-effective and timely soil monitoring through soil spectral inference in PICTs. The work further underscores the importance of regional cooperation and data-sharing for addressing soil security.
dc.description.confidentialfalse
dc.edition.editionSeptember 2024
dc.identifier.citationMoloney JP, Ma Y, Stockmann U, Manu VT, Minoneti V, Hui ST, Halavatau SM, Patolo S, Tukia T, Foliaki S, Carter T, Macdonald BCT, Barringer J, Roudier P. (2024). Rapid soil attribute evaluation for soil security assessments in data-poor environments in the Pacific region. Soil Security. 16.
dc.identifier.doi10.1016/j.soisec.2024.100161
dc.identifier.eissn2667-0062
dc.identifier.elements-typejournal-article
dc.identifier.number100161
dc.identifier.piiS2667006224000352
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72333
dc.languageEnglish
dc.publisherElsevier B.V.
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2667006224000352
dc.relation.isPartOfSoil Security
dc.rights(c) 2024 The Author/s
dc.rightsCC BY-NC 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectThe Kingdom of Tonga
dc.subjectPICTs
dc.subjectVis-NIR spectroscopy
dc.subjectMemory-based learning
dc.subjectSoil Organic Carbon
dc.subjectSoil pH
dc.subjectTotal Nitrogen
dc.titleRapid soil attribute evaluation for soil security assessments in data-poor environments in the Pacific region
dc.typeJournal article
pubs.elements-id492693
pubs.organisational-groupOther
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