Potts Kevin B, Watts David P, Langergraber Kevin E, Mitani John C
The College of Liberal Arts and Sciences, Arizona State University, 1100 McAllister Ave., Tempe, Arizona 85287, USA.
Department of Anthropology, Yale University, 10 Sachem Street, New Haven, Connecticut 06511, USA.
Biotropica. 2020 May;52(3):521-532. doi: 10.1111/btp.12764. Epub 2020 Feb 17.
Fruit production in tropical forests varies considerably in space and time, with important implications for frugivorous consumers. Characterizing temporal variation in forest productivity is thus critical for understanding adaptations of tropical forest frugivores, yet long-term phenology data from the tropics, in particular from African forests, are still scarce. Similarly, as the abiotic factors driving phenology in the tropics are predicted to change with a warming climate, studies documenting the relationship between climatic variables and fruit production are increasingly important. Here we present data from 19 years of monitoring the phenology of 20 tree species at Ngogo in Kibale National Park, Uganda. Our aims were to characterize short- and long-term trends in productivity and to understand the abiotic factors driving temporal variability in fruit production. Short-term (month-to-month) variability in fruiting was relatively low at Ngogo, and overall fruit production increased significantly through the first half of the study. Among the abiotic variables we expected to influence phenology patterns (including rainfall, solar irradiance, and average temperature), only average temperature was a significant predictor of monthly fruit production. We discuss these findings as they relate to the resource base of the frugivorous vertebrate community inhabiting Ngogo.
热带森林中的水果产量在空间和时间上差异很大,这对食果动物有着重要影响。因此,了解森林生产力的时间变化对于理解热带森林食果动物的适应性至关重要,然而来自热带地区,尤其是非洲森林的长期物候数据仍然稀缺。同样,由于预计随着气候变暖,驱动热带地区物候变化的非生物因素也会发生改变,记录气候变量与水果产量之间关系的研究变得越来越重要。在此,我们展示了在乌干达基巴莱国家公园恩戈戈对20种树木物候进行19年监测的数据。我们的目标是描述生产力的短期和长期趋势,并了解驱动水果产量时间变化的非生物因素。恩戈戈的结果表明,结果实的短期(逐月)变化相对较小,并且在研究的上半年,水果总产量显著增加。在我们预期会影响物候模式的非生物变量(包括降雨量、太阳辐射和平均温度)中,只有平均温度是每月水果产量的显著预测因子。我们将这些发现与居住在恩戈戈的食果脊椎动物群落的资源基础联系起来进行讨论。