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We developed a mechanism\u2010based clustering framework that groups stations by covariate\u2013community response fingerprints inferred from a multivariate generalized linear mixed model (GLMM). Station\u2010specific random effects across major taxa were treated as fingerprints and clustered to define mechanism\u2010consistent groups; Geostationary Ocean Color Imager (GOCI) satellite time series were analyzed with dynamic factor analysis (DFA) to provide complementary dynamical context. Applied to spring observations in the Korean marginal seas, GLMM\u2010fingerprint clustering identified four clusters and increased redundancy analysis explanatory power relative to both the pooled data set (adjusted\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.221) and a composition\u2010based clustering baseline. Phytoplankton community composition was most closely related to stratification in the Yellow Sea, mesoscale eddy\/upwelling forcing in the East Sea, and contrasting warm\u2010current versus freshwater influences in the South Sea. The Yellow Sea cluster showed strong coherence with stratification\u2010related controls (adjusted\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.847). Explanatory power remained lower in the East Sea cluster (adjusted\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.272), consistent with mesoscale forcing that is difficult to capture using field covariates alone, whereas DFA\u2010based satellite diagnostics supported eddy\/upwelling\u2010related variability. The South Sea separated into two clusters (adjusted\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090.492 and 0.424), reflecting contrasting warm\u2010current versus freshwater influences. This framework offers an interpretable pathway for mechanism\u2010oriented regionalization in dynamically complex coastal seas.\n                  <\/jats:p>","DOI":"10.1111\/jpy.70226","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T07:52:50Z","timestamp":1788940370000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mechanism\u2010based clustering reveals distinct controls on phytoplankton community composition across Korean marginal seas from integrated in\u00a0situ and satellite observations (\n                    <scp>KORUS<\/scp>\n                    \u2010\n                    <scp>OC<\/scp>\n                    2016)"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3690-7862","authenticated-orcid":false,"given":"Myung Jin","family":"Hyun","sequence":"first","affiliation":[{"name":"Ocean Climate Response and Ecosystem Department Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howon","family":"Lee","sequence":"additional","affiliation":[{"name":"Ocean Climate Response and Ecosystem Department Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Mannino","sequence":"additional","affiliation":[{"name":"Ocean Ecology Laboratory Goddard Space Flight Center, National Aeronautics and Space Administration  Greenbelt Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Crystal","family":"Thomas","sequence":"additional","affiliation":[{"name":"Ocean Ecology Laboratory Goddard Space Flight Center, National Aeronautics and Space Administration  Greenbelt Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young\u2010Je","family":"Park","sequence":"additional","affiliation":[{"name":"TelePIX Co., Ltd.  Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jongkuk","family":"Choi","sequence":"additional","affiliation":[{"name":"Ocean Satellite Center Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong Han","family":"Choi","sequence":"additional","affiliation":[{"name":"Ocean Climate Response and Ecosystem Department Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taekeun","family":"Rho","sequence":"additional","affiliation":[{"name":"Marine Environment Research Department Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joaquim I.","family":"Goes","sequence":"additional","affiliation":[{"name":"Lamont Doherty Earth Observatory  Palisades New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charity Mijin","family":"Lee","sequence":"additional","affiliation":[{"name":"Ocean Law Research Department Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yeonjung","family":"Lee","sequence":"additional","affiliation":[{"name":"Ocean Climate Response and Ecosystem Department Korea Institute of Ocean Science and Technology  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae\u2010Hoon","family":"Noh","sequence":"additional","affiliation":[{"name":"Marine Eco\u2010Technology Institute  Busan Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"issue":"5","key":"e_1_2_9_2_1","first-page":"1259","article-title":"Introduction of GOCI\u2010II atmospheric correction algorithm and its initial validations","volume":"37","author":"Ahn J.\u2010H.","year":"2021","journal-title":"Korean Journal of Remote Sensing"},{"issue":"22","key":"e_1_2_9_3_1","doi-asserted-by":"crossref","DOI":"10.3390\/rs12223791","article-title":"Estimating water reflectance at near\u2010infrared wavelengths for turbid water atmospheric correction: A preliminary study for GOCI\u2010II","volume":"12","author":"Ahn J.\u2010H.","year":"2020","journal-title":"Remote Sensing"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0022\u20103646.1993.00701.x"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v115.i02"},{"issue":"1","key":"e_1_2_9_6_1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1029\/95GB02832","article-title":"Oceanic primary production: 2. 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