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Large Rainfall Pulses Control Litter Decomposition in a Tropical Dry Forest: Evidence from an 8-Year Study

机译:大雨量脉冲控制热带干旱森林中的凋落物分解:来自8年研究的证据

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We investigated the influence of rainfall attributes on litter decomposition over an 8-year period in a well-preserved tropical dry forest ecosystem in western Mexico. We examined the relationship between the size and number of rainfall events and rainy-season litter decomposition rates and determined if this relationship varied along a landscape gradient. A mass balance approach was used to estimate decomposition rate in four permanent 2,400 m(2) plots located in two small watersheds. Watershed I included three plots in different landscape positions (upper, middle, and lower) in the elevation gradient, whereas Watershed IV included one plot in the middle position. Surface litter C mass was lower in the rainy than in the dry season in all plots in response to seasonal fluctuations in rainfall. The frequency of small (<= 5 mm) and medium (5.1-9.9 mm) size rainfall events largely did not correlate with litter decomposition, but the frequency of large events (>= 10 mm) had a positive correlation with decomposition rates ( < 0.05), except in plot IV ( < 0.1). Decomposition rates were similar among plots at the different landscape positions within Watershed I ( > 0.05). The relevance of large rainfall events (>= 10 mm) in rainy-season litter decomposition suggests that changes in the precipitation regime which alter the frequency of these rainfall pulses or increase their variability would affect the vulnerability of the litter C and nutrient pools to extreme events.
机译:我们调查了在墨西哥西部一个保存完好的热带干旱森林生态系统中,降雨属性在8年内对凋落物分解的影响。我们研究了降雨事件的大小和数量与雨季凋落物分解率之间的关系,并确定了这种关系是否沿景观梯度变化。质量平衡方法用于估算位于两个小流域的四个永久性2,400 m(2)地块中的分解率。分水岭I在海拔梯度中的不同景观位置(上部,中部和下部)包括三个地块,而分水岭IV在中间位置包括一个地块。由于降雨的季节性波动,在所有地块中,雨季地表凋落物C的质量均低于干旱季节。小(<= 5毫米)和中等(5.1-9.9毫米)降雨事件的频率与凋落物分解没有很大关系,但是大事件(> = 10毫米)的频率与分解率呈正相关(< 0.05),但曲线IV(<0.1)除外。流域I中不同景观位置的样地间的分解率相似(> 0.05)。雨季凋落物分解中大降雨事件(> = 10毫米)的相关性表明,降雨方式的变化会改变这些降雨脉冲的频率或增加其波动性,这将影响凋落物C和养分库的极端脆弱性事件。

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