Elizabeth Kearsley, Hans Verbeeck, Piet Stoffelen, Steven B Janssens, Emmanuel Kasongo Yakusu, Margaret Kosmala, Tom De Mil, Marijn Bauters, Elasi Ramanzani Kitima, José Mbifo Ndiapo, Adelard Lonema Chuda, Andrew D Richardson, Lisa Wingate, Bhély Angoboy Ilondea, Hans Beeckman, Jan van den Bulcke, Pascal Boeckx, Koen Hufkens
{"title":"Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest.","authors":"Elizabeth Kearsley, Hans Verbeeck, Piet Stoffelen, Steven B Janssens, Emmanuel Kasongo Yakusu, Margaret Kosmala, Tom De Mil, Marijn Bauters, Elasi Ramanzani Kitima, José Mbifo Ndiapo, Adelard Lonema Chuda, Andrew D Richardson, Lisa Wingate, Bhély Angoboy Ilondea, Hans Beeckman, Jan van den Bulcke, Pascal Boeckx, Koen Hufkens","doi":"10.1002/pei3.10136","DOIUrl":null,"url":null,"abstract":"<p><p>Tropical forest phenology directly affects regional carbon cycles, but the relation between species-specific and whole-canopy phenology remains largely uncharacterized. We present a unique analysis of historical tropical tree phenology collected in the central Congo Basin, before large-scale impacts of human-induced climate change. Ground-based long-term (1937-1956) phenological observations of 140 tropical tree species are recovered, species-specific phenological patterns analyzed and related to historical meteorological records, and scaled to characterize stand-level canopy dynamics. High phenological variability within and across species and in climate-phenology relationships is observed. The onset of leaf phenophases in deciduous species was triggered by drought and light availability for a subset of species and showed a species-specific decoupling in time along a bi-modal seasonality. The majority of the species remain evergreen, although central African forests experience relatively low rainfall. Annually a maximum of 1.5% of the canopy is in leaf senescence or leaf turnover, with overall phenological variability dominated by a few deciduous species, while substantial variability is attributed to asynchronous events of large and/or abundant trees. Our results underscore the importance of accounting for constituent signals in canopy-wide scaling and the interpretation of remotely sensed phenology signals.</p>","PeriodicalId":74457,"journal":{"name":"Plant-environment interactions (Hoboken, N.J.)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10926959/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant-environment interactions (Hoboken, N.J.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/pei3.10136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Tropical forest phenology directly affects regional carbon cycles, but the relation between species-specific and whole-canopy phenology remains largely uncharacterized. We present a unique analysis of historical tropical tree phenology collected in the central Congo Basin, before large-scale impacts of human-induced climate change. Ground-based long-term (1937-1956) phenological observations of 140 tropical tree species are recovered, species-specific phenological patterns analyzed and related to historical meteorological records, and scaled to characterize stand-level canopy dynamics. High phenological variability within and across species and in climate-phenology relationships is observed. The onset of leaf phenophases in deciduous species was triggered by drought and light availability for a subset of species and showed a species-specific decoupling in time along a bi-modal seasonality. The majority of the species remain evergreen, although central African forests experience relatively low rainfall. Annually a maximum of 1.5% of the canopy is in leaf senescence or leaf turnover, with overall phenological variability dominated by a few deciduous species, while substantial variability is attributed to asynchronous events of large and/or abundant trees. Our results underscore the importance of accounting for constituent signals in canopy-wide scaling and the interpretation of remotely sensed phenology signals.