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Changes in seasonal precipitation distribution but not annual amount affect litter decomposition in a secondary tropical forest

垃圾箱 旱季 雨季 环境科学 降水 热带 植物凋落物 生长季节 水分 农学 生态学 生态系统 动物科学 生物 化学 地理 气象学 有机化学
作者
Shiqin Yu,Qifeng Mo,Yingwen Li,Yongxing Li,Binglin Zou,Xianpei Hong,Zhian Li,Faming Wang
出处
期刊:Ecology and Evolution [Wiley]
卷期号:9 (19): 11344-11352 被引量:17
标识
DOI:10.1002/ece3.5635
摘要

In the tropics of South China, climate change induced more rainfall events in the wet season in the last decades. Moreover, there will be more frequently spring drought in the future. However, knowledge on how litter decomposition rate would respond to these seasonal precipitation changes is still limited. In the present study, we conducted a precipitation manipulation experiment in a tropical forest. First, we applied a 60% rainfall exclusion in April and May to defer the onset of wet season and added the same amount of water in October and November to mimic a deferred wet season (DW); second, we increased as much as 25% mean annual precipitation into plots in July and August to simulate a wetter wet season (WW). Five single-species litters, with their carbon to nitrogen ratio ranged from 27 to 49, and a mixed litter were used to explore how the precipitation change treatments would affect litter decomposition rate. The interaction between precipitation changes and litter species was not significant. The DW treatment marginally accelerated litter decomposition across six litter types. Detailed analysis showed that DW increased litter decomposition rate in the periods of January to March and October to December, when soil moisture was increased by the water addition in the dry season. In contrast, WW did not significantly affect litter decomposition rate, which was consistent with the unchanged soil moisture pattern. In conclusion, the study indicated that regardless of litter types or litter quality, the projected deferred wet season would increase litter decomposition rate, whereas the wetter wet season would not affect litter decomposition rate in the tropical forests. This study improves our knowledge of how tropical forest carbon cycling in response to precipitation change.
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