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Much of the soil nutrients are locked in the more stable mineral\u2010associated organic matter (MAOM) pool compared to the more labile particulate organic matter (POM) pool, but how elevated CO\n                    <jats:sub>2<\/jats:sub>\n                    (\n                    <jats:italic>e<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    ) affects these pools is unclear. In this study, we examined how 12\u2009years of\n                    <jats:italic>e<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    affected the POM and MAOM C, nitrogen (N), and phosphorus (P) pools at two different depths (0\u201310 and 10\u201320\u2009cm) in a low P, native\n                    <jats:italic>Eucalyptus<\/jats:italic>\n                    woodland. Across soil depths, we found that 12\u2009years of\n                    <jats:italic>e<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    caused significant decreases in MAOM\u2010total C (16%), MAOM\u2010organic N (15%), and MAOM\u2010organic P (16%) compared to ambient CO\n                    <jats:sub>2<\/jats:sub>\n                    (\n                    <jats:italic>a<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    ), but no effects on C, organic N (N\n                    <jats:sub>org<\/jats:sub>\n                    ), and organic P (P\n                    <jats:sub>org<\/jats:sub>\n                    ) in POM. The MAOM had consistently lower C: P\n                    <jats:sub>org<\/jats:sub>\n                    and C: N\n                    <jats:sub>org<\/jats:sub>\n                    ratios (228 and 12.4, respectively) than POM (655 and 24.1, respectively). Our results cannot be explained by\n                    <jats:italic>e<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    \u2010induced changes in plant inputs but instead suggest that the increased belowground C inputs under\n                    <jats:italic>e<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    , in combination with low soil P availability, triggered a rhizosphere priming effect on the MAOM pool. Since MAOM was richer in P than POM, microbes may have preferentially mined MAOM for P (and N) to meet their P demand, thereby enhancing the decomposition of MAOM more than POM. While uncertainties remain about the fate of P after microbial death in this ecosystem, this study highlights that the nutrient\u2010rich MAOM pool is vulnerable to rhizosphere priming, thereby restricting the potential for greater SOC accumulation under\n                    <jats:italic>e<\/jats:italic>\n                    CO\n                    <jats:sub>2<\/jats:sub>\n                    in soils with low P availability.\n                  <\/jats:p>","DOI":"10.1111\/gcb.70585","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T07:14:05Z","timestamp":1761722045000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Nutrient\u2010Rich Mineral\u2010Associated Organic Matter Limits Carbon Storage Under Elevated Carbon Dioxide in a Low Phosphorus\n                    <i>Eucalyptus<\/i>\n                    Woodland Soil"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5018-7196","authenticated-orcid":false,"given":"Anna","family":"Favaro","sequence":"first","affiliation":[{"name":"School of Life and Environmental Sciences, Faculty of Science The University of Sydney  Camperdown New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yolima","family":"Carrillo","sequence":"additional","affiliation":[{"name":"Hawkesbury Institute for the Environment Western Sydney University  Penrith New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Balwant","family":"Singh","sequence":"additional","affiliation":[{"name":"School of Life and Environmental Sciences, Faculty of Science The University of Sydney  Camperdown New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0788-4713","authenticated-orcid":false,"given":"Charles","family":"Warren","sequence":"additional","affiliation":[{"name":"School of Life and Environmental Sciences, Faculty of Science The University of Sydney  Camperdown New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feike A.","family":"Dijkstra","sequence":"additional","affiliation":[{"name":"School of Life and Environmental Sciences, Faculty of Science The University of Sydney  Camperdown New South Wales Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,10,29]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11104-017-3478-4"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10533-020-00699-y"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.soilbio.2021.108189"},{"key":"e_1_2_10_5_1","unstructured":"Bates D.2014.\u201cFitting Linear Mixed\u2010Effects Models Using lme4.\u201darXiv preprint. 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