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        <datestamp>2026-10-01T16:23:04Z</datestamp>
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          <dc:title>The spatial and temporal biogeochemistry of agronomic grasslands</dc:title>
          <dc:creator>Wanqi Jia (24170001)</dc:creator>
          <dc:subject>PUREID: 645465057</dc:subject>
          <dc:subject>managed grasslands</dc:subject>
          <dc:subject>biogeochemistry</dc:subject>
          <dc:subject>biogeochemical cycling</dc:subject>
          <dc:subject>soil analysis</dc:subject>
          <dc:subject>herbage analysis</dc:subject>
          <dc:subject>animal slurry analysis</dc:subject>
          <dc:subject>X-ray fluorescence</dc:subject>
          <dc:subject>ICP-MS</dc:subject>
          <dc:subject>long-term fertilisation</dc:subject>
          <dc:subject>soil essential elements</dc:subject>
          <dc:subject>soil toxic elements</dc:subject>
          <dc:subject>agronomic sustainability</dc:subject>
          <dc:subject>total elemental concentration</dc:subject>
          <dc:subject>PCA analysis</dc:subject>
          <dc:subject>GLM analysis</dc:subject>
          <dc:description>Managed grasslands represent complex biogeochemical systems where human-caused interventions through mineral and organic fertilisation interact with natural processes to shape element cycling across spatial and temporal scales. Long-term application of animal slurry and mineral fertilisers introduce both nutrients and pollutants into grassland soils, creating heterogeneous spatial patterns and temporal trends in soil biogeochemistry. This PhD thesis investigates the spatio-temporal dynamics of essential and toxic elements in the soil stores of &lt;br&gt;managed grasslands, focusing on how these elemental concentrations evolve over time due to long-term fertilisation management. This research draws upon metadata from a multi-decadal agricultural experiment in Hillsborough, Co. Down, N. Ireland. This long-term field trial is established on permanent grassland plots receiving different doses of animal slurry or mineral fertiliser since 1970, alongside control plots with no amendments. Periodic soil and herbage sampling over five decades enable the analysis of archived samples, facilitating a robust &lt;br&gt;analysis of both temporal trends and spatial variability in agronomic grasslands. Multi-elemental concentrations are determined using ICP-MS combined with XRF for soil, herbage, and animal slurries. To observe the association between multi-elements and field trial parameters - depth, cut, block - the PCA analysis is performed. To assess the effect of different experimental treatment factors over the time-scales - animal slurry versus mineral fertilisers versus control - the advanced mixed-effects model GLM is applied. These statistical methods &lt;br&gt;account for spatial association and temporal trends, ensuring a holistic assessment of fertiliser input influences on elemental biogeochemistry of grassland soils. The results, between 1972 and 2018, reveal animal slurry application markedly depleted soil Al, As, Fe, K, Pb, Si, and Ti concentrations in the topsoil layer (0-15 cm), mineral fertilisers application generally followed the same trend for these elements in this layer. Animal slurry results in a pronouncedly &lt;br&gt;enhanced level of Cu and Zn concentrations over 46 years of application, not enhancing the other elements. Particularly for the dissipation of As, this loss being greater for animal slurry as compared to mineral fertilisers. Over 46 years of fertilisation management, As exhibits vertical migration within the soil depth profile. The key contribution of this thesis is advancing the understanding of how long-term fertilisation practices influence grassland element’s biogeochemical cycling through the integration of chemical analysis and ecological modelling.&lt;br&gt;&lt;br&gt;&lt;i&gt;Thesis embargoed until 31st Dec 2026.&lt;/i&gt;</dc:description>
          <dc:date>2026-10-01T16:23:04Z</dc:date>
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          <dc:identifier>10.17034/32641479.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/thesis/The_spatial_and_temporal_biogeochemistry_of_agronomic_grasslands/32641479</dc:relation>
          <dc:rights>All Rights Reserved</dc:rights>
          <dc:rights>Open Access after 2026-12-31</dc:rights>
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