{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T16:47:45Z","timestamp":1782751665981,"version":"3.54.5"},"reference-count":140,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T00:00:00Z","timestamp":1781568000000},"content-version":"vor","delay-in-days":15,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Global Change Biology"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    With global warming, precipitation variability is increasing, affecting water availability and consequently ecosystem functioning and carbon uptake. Semi\u2010arid ecosystems are very sensitive to changes in water availability since both gross primary productivity (GPP) and ecosystem respiration (R\n                    <jats:sub>eco<\/jats:sub>\n                    ) are strongly linked to it, contributing most to the interannual variability and trend of the global land carbon sink. However, their carbon\u2010dioxide (CO\n                    <jats:sub>2<\/jats:sub>\n                    ) flux dynamics and specifically R\n                    <jats:sub>eco<\/jats:sub>\n                    are not well understood and poorly represented in models. Here we compiled a long\u2010term global dataset of eight eddy\u2010covariance sites located in semi\u2010arid savannas to analyze the effects of precipitation variability on their net ecosystem exchange (NEE, with NEE\u2009=\u2009R\n                    <jats:sub>eco<\/jats:sub>\n                    \u2014GPP). We assessed the effects of precipitation variability, represented by precipitation amount, frequency, intensity, and dry spell length, on both annual and seasonal CO\n                    <jats:sub>2<\/jats:sub>\n                    fluxes. We used linear mixed effect models to identify relationships between the precipitation metrics, environmental factors, and CO\n                    <jats:sub>2<\/jats:sub>\n                    fluxes. We further employed structural equation models to identify direct and indirect effects of precipitation variability on ecosystem CO\n                    <jats:sub>2<\/jats:sub>\n                    fluxes in different phenological seasons. The results indicate that precipitation amount and intensity mostly lead to increasing GPP and R\n                    <jats:sub>eco<\/jats:sub>\n                    on the annual scale, with different net effects on NEE depending on the sites. On the seasonal scale, both precipitation frequency and intensity explained more NEE variations than precipitation amount only, while the contribution of dry spell length was negligible. The three precipitation metrics together lead to highest model improvement. Across seasons, soil water content was the main mediator of precipitation impacts on CO\n                    <jats:sub>2<\/jats:sub>\n                    fluxes, with air temperatures co\u2010dominating in the drydown season. Overall, this study shows that precipitation intensity, frequency, and their seasonal timing are crucial for explaining ecosystem CO\n                    <jats:sub>2<\/jats:sub>\n                    flux dynamics of semi\u2010arid savannas. This can help improve predictions of the effects of increasing precipitation variability on the global carbon cycle.\n                  <\/jats:p>","DOI":"10.1111\/gcb.70954","type":"journal-article","created":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T09:02:12Z","timestamp":1781600532000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Impacts of Precipitation Variability on Carbon Flux Dynamics of Global Semi\u2010Arid Savannas"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7178-7266","authenticated-orcid":false,"given":"Laura","family":"Nadolski","sequence":"first","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"},{"name":"Faculty of Chemistry and Earth Science Friedrich\u2010Schiller University  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2742-319X","authenticated-orcid":false,"given":"Marieke","family":"Wesselkamp","sequence":"additional","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0726-7141","authenticated-orcid":false,"given":"Tarek","family":"El\u2010Madany","sequence":"additional","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2802-9177","authenticated-orcid":false,"given":"Markus","family":"Lange","sequence":"additional","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4663-2420","authenticated-orcid":false,"given":"Jacob","family":"Nelson","sequence":"additional","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9095-8807","authenticated-orcid":false,"given":"Arnaud","family":"Carrara","sequence":"additional","affiliation":[{"name":"Fundacion Centro de Estudios Ambientales del Mediterr\u00e1neo (CEAM)  Valencia Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1544-9794","authenticated-orcid":false,"given":"Aleksander","family":"Wieckowski","sequence":"additional","affiliation":[{"name":"Department of Physical Geography and Ecosystem Science Lund University  Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anke","family":"Hildebrandt","sequence":"additional","affiliation":[{"name":"Faculty of Chemistry and Earth Science Friedrich\u2010Schiller University  Jena Germany"},{"name":"Department Computational Hydrosystems Helmholtz Centre for Environmental Research (UFZ)  Leipzig Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5736-1112","authenticated-orcid":false,"given":"Markus","family":"Reichstein","sequence":"additional","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2615-2040","authenticated-orcid":false,"given":"Sung\u2010Ching","family":"Lee","sequence":"additional","affiliation":[{"name":"Biogeochemical Integration Max\u2010Planck Institute for Biogeochemistry  Jena Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,16]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/ecs2.1892"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11104\u2010020\u201004811\u2010x"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/1750\u20100680\u20103\u20107"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1071\/BT07151"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/gcb.12649"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/gcb.14807"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v067.i01"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2006.11.006"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aay5958"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2020.06.005"},{"key":"e_1_2_11_12_1","volume-title":"FLUXNET2015 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