{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T13:39:42Z","timestamp":1793281182258,"version":"4.5.0"},"reference-count":51,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T00:00:00Z","timestamp":1791763200000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["200021_184603"],"award-info":[{"award-number":["200021_184603"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","doi-asserted-by":"publisher","award":["200021_219384"],"award-info":[{"award-number":["200021_219384"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["esajournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ecology"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Joint species distribution models are essential for understanding how ecological covariates shape species communities. However, most existing approaches are limited by rigid parametric distributions for count data and the inability to model how interspecific associations change with those covariates. We introduce joint count transformation models, a novel framework designed to overcome these limitations. Our approach combines distribution\u2010free marginal count transformation models for multiple species with a covariate\u2010dependent latent Gaussian copula to model interspecific correlations, interpretable as Spearman's rank correlation on the observed count scale. All model parameters are estimated efficiently via joint maximum likelihood estimation, implemented in the R package\n                    <jats:italic>tram<\/jats:italic>\n                    . We apply this framework to model the joint abundance of three fish\u2010eating bird species, using seasonality as the primary covariate. Our model successfully captured the complex, species\u2010specific seasonal abundance patterns, including periods of high zero counts and seasonal shifts in variance. Furthermore, the model revealed strong, seasonally varying correlations between the species. These findings are consistent with an empirical approach and similar to those from the computationally expensive parametric Bayesian Hierarchical Modeling of Species Communities (HMSC) framework. Consistency, accuracy, and feasibility of our approach are demonstrated in a simulation study for up to 10 species.\n                  <\/jats:p>","DOI":"10.1002\/ecy.70522","type":"journal-article","created":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T13:36:42Z","timestamp":1791812202000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Joint count transformation models with covariate\u2010dependent correlations"],"prefix":"10.1002","volume":"107","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5147-8370","authenticated-orcid":false,"given":"Lukas","family":"Graz","sequence":"first","affiliation":[{"name":"Epidemiology, Biostatistics and Prevention Institute University of Zurich  Z\u00fcrich Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5352-5802","authenticated-orcid":false,"given":"Luisa","family":"Barbanti","sequence":"additional","affiliation":[{"name":"Epidemiology, Biostatistics and Prevention Institute University of Zurich  Z\u00fcrich Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roland","family":"Brandl","sequence":"additional","affiliation":[{"name":"Department of Biology University of Marburg  Marburg Hessen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8301-0471","authenticated-orcid":false,"given":"Torsten","family":"Hothorn","sequence":"additional","affiliation":[{"name":"Epidemiology, Biostatistics and Prevention Institute University of Zurich  Z\u00fcrich Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,12]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/ece3.4948"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v105.i01"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1461-0248.2006.00925.x"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11081-022-09765-w"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1964.tb00553.x"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/fwb.13511"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/ecy.70175"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1890\/0012-9658(2002)083[1105:MRTANT]2.0.CO;2"},{"key":"e_1_2_9_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2656.2008.01390.x"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1006\/jmva.2001.2017"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.1992.10477010"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610918.2018.1508705"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-024-10454-0"},{"key":"e_1_2_9_15_1","doi-asserted-by":"crossref","unstructured":"Hothorn T.2026a.\u201cMultivariate Normal Log\u2010Likelihoods in the mvtnorm Package.\u201dR Package Vignette Version 1.4\u20101.https:\/\/doi.org\/10.32614\/CRAN.package.mvtnorm.","DOI":"10.32614\/CRAN.package.mvtnorm"},{"key":"e_1_2_9_16_1","doi-asserted-by":"crossref","unstructured":"Hothorn T.2026b.\u201cOn Nonparanormal Likelihoods.\u201darXiv:2408.17346.https:\/\/doi.org\/10.48550\/arXiv.2408.17346.","DOI":"10.24072\/pcjournal.814"},{"key":"e_1_2_9_17_1","doi-asserted-by":"crossref","unstructured":"Hothorn T.2026c.\u201cmlt: Most Likely Transformations.\u201dR Package Version 1.8\u20100.https:\/\/doi.org\/10.32614\/CRAN.package.mlt.","DOI":"10.32614\/CRAN.package.mlt"},{"key":"e_1_2_9_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/sjos.12291"},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1890\/10-0602.1"},{"key":"e_1_2_9_20_1","doi-asserted-by":"crossref","unstructured":"Hothorn T. S.Siegfried andL.Kook.2026.\u201ctram: Transformation Models.\u201dR Package Version 1.4\u20103.https:\/\/doi.org\/10.32614\/CRAN.package.tram.","DOI":"10.32614\/CRAN.package.tram"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.14184"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13496"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1890\/10-1264.1"},{"key":"e_1_2_9_24_1","first-page":"132","article-title":"Keine Hinweise auf Konkurrenz zwischen Kormoran Phalacrocorax carbo, Haubentaucher Podiceps cristatus und G\u00e4nses\u00e4ger Mergus merganser","volume":"56","author":"Kinshofer G.","year":"2018","journal-title":"Ornithologischer Anzeiger"},{"key":"e_1_2_9_25_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2699.2011.02663.x"},{"key":"e_1_2_9_26_1","doi-asserted-by":"publisher","DOI":"10.1111\/sjos.12501"},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1214\/088342304000000305"},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v112.i01"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.12623"},{"key":"e_1_2_9_30_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0216129"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/ecm.1370"},{"key":"e_1_2_9_32_1","doi-asserted-by":"publisher","DOI":"10.1017\/9781108591720"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1890\/10-0173.1"},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1890\/10-1251.1"},{"key":"e_1_2_9_35_1","doi-asserted-by":"publisher","DOI":"10.1111\/ele.12757"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-2354.2006.00387.x"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.95.20.11739"},{"key":"e_1_2_9_38_1","doi-asserted-by":"crossref","unstructured":"Plummer M. N.Best K.Cowles K.Vines D.Sarkar D.Bates R.Almond andA.Magnusson.2024.\u201ccoda: Output Analysis and Diagnostics for MCMC.\u201dR Package Version 0.19\u20104.1.https:\/\/doi.org\/10.32614\/CRAN.package.coda.","DOI":"10.32614\/CRAN.package.coda"},{"key":"e_1_2_9_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tree.2021.01.002"},{"key":"e_1_2_9_40_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.12180"},{"key":"e_1_2_9_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2017.12.002"},{"key":"e_1_2_9_42_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asm073"},{"key":"e_1_2_9_43_1","volume-title":"R: A Language and Environment for Statistical Computing","author":"R Core Team","year":"2026"},{"key":"e_1_2_9_44_1","doi-asserted-by":"crossref","unstructured":"Siegfried S. 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