历史树木物候数据揭示了刚果盆地热带雨林的季节性节律。

Q3 Agricultural and Biological Sciences
Plant-environment interactions (Hoboken, N.J.) Pub Date : 2024-03-11 eCollection Date: 2024-04-01 DOI:10.1002/pei3.10136
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
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引用次数: 0

摘要

热带森林物候直接影响区域碳循环,但物种特异性物候与整个树冠物候之间的关系在很大程度上仍未得到描述。在人类引起的气候变化造成大规模影响之前,我们对在刚果盆地中部收集到的热带树木历史物候进行了独特的分析。我们恢复了对 140 个热带树种的长期(1937-1956 年)地面物候观测数据,分析了特定树种的物候模式,并将其与历史气象记录联系起来,按比例描述了立地层面的树冠动态特征。在物种内部和物种之间以及气候与物候学关系中观察到了高度的物候变异性。对于一部分物种来说,落叶物种的叶片物候期是由干旱和光照触发的,并在时间上沿着双模季节性表现出物种特异性解耦。尽管非洲中部森林的降雨量相对较低,但大多数物种仍保持常绿。每年最多有 1.5% 的树冠处于叶片衰老或叶片更替期,总体物候变化由少数落叶物种主导,而大量变化则归因于大树和/或丰产树的非同步事件。我们的研究结果表明,在对整个树冠进行缩放和对遥感物候信号进行解释时,必须考虑到组成信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Historical tree phenology data reveal the seasonal rhythms of the Congo Basin rainforest.

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.

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来源期刊
CiteScore
2.70
自引率
0.00%
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审稿时长
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