Zvirzdin Daniel L, Roundy Bruce A, Barney Nicholas S, Petersen Steven L, Anderson Val J, Madsen Matthew D
Bureau of Land Management Elko NV USA.
Department of Plant and Wildlife Sciences Brigham Young University Provo UT USA.
Ecol Evol. 2017 May 22;7(13):4630-4639. doi: 10.1002/ece3.3039. eCollection 2017 Jul.
Wildfires can create or intensify water repellency in soil, limiting the soil's capacity to wet and retain water. The objective of this research was to quantify soil water repellency characteristics within burned piñon-juniper woodlands and relate this information to ecological site characteristics. We sampled soil water repellency across forty-one 1,000 m study plots within three major wildfires that burned in piñon-juniper woodlands. Water repellency was found to be extensive-present at 37% of the total points sampled-and strongly related to piñon-juniper canopy cover. Models developed for predicting SWR extent and severity had values of 0.67 and 0.61, respectively; both models included piñon-juniper canopy cover and relative humidity the month before the fire as coefficient terms. These results are important as they suggest that postfire water repellency will increase in the coming years as infilling processes enhance piñon-juniper canopy cover. Furthermore, reductions in relative humidity brought about by a changing climate have the potential to link additively with infilling processes to increase the frequency and intensity of wildfires and produce stronger water repellency over a greater spatial extent. In working through these challenges, land managers can apply the predictive models developed in this study to prioritize fuel control and postfire restoration treatments.
野火会导致土壤产生或增强斥水性,限制土壤的湿润和保水能力。本研究的目的是量化火烧矮松-杜松林土壤的斥水特性,并将这些信息与生态立地特征联系起来。我们在矮松-杜松林发生的三场主要野火中,对41个1000平方米的研究地块的土壤斥水性进行了采样。发现斥水性广泛存在,在采样点总数的37%处存在,且与矮松-杜松林冠层覆盖密切相关。用于预测土壤斥水范围和严重程度的模型的 值分别为0.67和0.61;两个模型均将矮松-杜松林冠层覆盖和火灾前一个月的相对湿度作为系数项。这些结果很重要,因为它们表明,随着林分郁闭过程增强矮松-杜松林冠层覆盖,未来几年火灾后的斥水性将会增加。此外,气候变化导致的相对湿度降低有可能与林分郁闭过程相加作用,增加野火的频率和强度,并在更大空间范围内产生更强的斥水性。在应对这些挑战时,土地管理者可以应用本研究中开发的预测模型,对燃料控制和火灾后恢复处理进行优先排序。