Geosciences, College of Science and Engineering and Centre for Tropical Environmental and Sustainability Science (TESS), James Cook University, Townsville, Queensland, Australia.
StatsHelp Service, Graduate Research School, James Cook University, Townsville, Queensland, Australia.
PLoS One. 2019 Jan 25;14(1):e0211325. doi: 10.1371/journal.pone.0211325. eCollection 2019.
Water is one of the main agent of erosion in many environmental settings, but erosion rates derived from beryllium-10 (10Be) suggests that a relationship between precipitation and erosion rate is statistically non-significant on a global scale. This might be because of the strong influence of other variables on erosion rate. In this global 10Be compilation, we examine if mean annual precipitation has a statistically significant secondary control on erosion rate. Our secondary variable assessment suggests a significant secondary influence of precipitation on erosion rate. This is the first time that the influence of precipitation on 10Be-derived erosion rate is recognized on global scale. In fact, in areas where slope is <200m/km (~11°), precipitation influences erosion rate as much as mean basin slope, which has been recognized as the most important variable in previous 10Be compilations. In areas where elevation is <1000m and slope is <11°, the correlation between precipitation and erosion rate improves considerably. These results also suggest that erosion rate responds to change in mean annual precipitation nonlinearly and in three regimes: 1) it increases with an increase in precipitation until ~1000 mm/yr; 2) erosion rate stabilizes at ~1000 mm/yr and decreases slightly with increased precipitation until ~2200 mm/yr; and 3) it increases again with further increases in precipitation. This complex relationship between erosion rate and mean annual precipitation is best explained by the interrelationship between mean annual precipitation and vegetation. Increased vegetation, particularly the presence of trees, is widely recognized to lower erosion rate. Our results suggest that tree cover of 40% or more reduces erosion rate enough to outweigh the direct erosive effects of increased rainfall. Thus, precipitation emerges as a stronger secondary control on erosion rate in hyper-arid areas, as well as in hyper-wet areas. In contrast, the regime between ~1000 and ~2200 mm/yr is dominated by opposing relationships where higher rainfall acts to increase erosion rate, but more water also increases vegetation/tree cover, which slows erosion. These results suggest that when interpreting the sedimentological record, high sediment fluxes are expected to occur when forests transition to grasslands/savannahs; however, aridification of grasslands or savannahs into deserts will result in lower sediment fluxes. This study also implies that anthropogenic deforestation, particularly in regions with high rainfall, can greatly increase erosion.
水是许多环境中侵蚀的主要因素之一,但铍-10(10Be)的侵蚀速率表明,降水与侵蚀速率之间的关系在全球范围内没有统计学意义。这可能是因为其他变量对侵蚀速率有很强的影响。在这项全球 10Be 汇编中,我们研究了年平均降水量是否对侵蚀速率有统计学上的次要控制作用。我们的次要变量评估表明,降水对侵蚀速率有显著的次要影响。这是首次在全球范围内认识到降水对 10Be 衍生侵蚀速率的影响。事实上,在坡度<200m/km(11°)的地区,降水对侵蚀速率的影响与平均流域坡度一样大,而平均流域坡度一直被认为是以前 10Be 汇编中最重要的变量。在海拔<1000m 且坡度<11°的地区,降水与侵蚀速率之间的相关性有了显著提高。这些结果还表明,侵蚀速率对年平均降水量的变化呈非线性响应,并分为三个阶段:1)随着降水量的增加,侵蚀速率增加,直到1000mm/yr;2)侵蚀速率在1000mm/yr 左右稳定,随着降水量的增加略有下降,直到2200mm/yr;3)随着降水量的进一步增加,侵蚀速率再次增加。侵蚀速率与年平均降水量之间的这种复杂关系,最好通过年平均降水量与植被之间的相互关系来解释。植被增加,特别是树木的存在,被广泛认为会降低侵蚀速率。我们的结果表明,植被覆盖率达到 40%或以上,可以减少侵蚀速率,足以抵消降雨量增加的直接侵蚀效应。因此,降水在极干旱地区以及极湿润地区成为侵蚀速率的更强的次要控制因素。相比之下,在1000 到2200mm/yr 的区间内,占主导地位的是相反的关系,即更高的降雨量会增加侵蚀速率,但更多的水也会增加植被/树木覆盖率,从而减缓侵蚀。这些结果表明,在解释沉积记录时,当森林过渡到草原/热带稀树草原时,预计会出现高沉积物通量;然而,草原或热带稀树草原的干旱化会导致较低的沉积物通量。本研究还表明,特别是在降雨量较高的地区,人为砍伐森林会大大增加侵蚀。