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Journal of Mountain Science

, Volume 11, Issue 1, pp 119–130 | Cite as

Analyzing forest effects on runoff and sediment production using leaf area index

  • Xiao-Xia Wu
  • Zhu-Jun GuEmail author
  • Hao Luo
  • Xue-Zheng Shi
  • Dong-Sheng Yu
Article

Abstract

Quantifying the effects of forests on water and soil conservation helps further understanding of ecological functions and improving vegetation reconstruction in water-eroded areas. Studies on the effects of vegetation on water and soil conservation have generally focused on vegetation types or vegetation horizontal distribution densities. However, only a few studies have used indicators that consider the vegetation vertical distribution. This study used the leaf area index (LAI) to investigate the relationship between forests and water and soil conservation in experimental plots. From 2007 to 2010, rainfall characteristics, LAI, and water and soil loss in 144 natural erosive rainfall events were measured from five pure tree plots (Pinus massoniana). These tree plots were located in Hetian Town, Changting County, Fujian Province, which is a typical water-eroded area in Southern China. Quadratic polynomial regression models for LAI and water/soil conservation effects (RE/SE) were established for each plot. The RE and SE corresponded to the ratios of the runoff depth (RD) and the soil loss (SL) of each pure tree plot to those of the control plot under each rainfall event. The transformation LAIs of the LAI-RE and LAI-SE curves, as well as the rainfall characteristics for the different water/soil conservation effects, were computed. The increasing LAI resulted in descending, descending-ascending, ascending-descending, and ascending trends in the LAI-RE and LAI-SE curves. The rainfall frequencies corresponding to each trend of LAI-RE and LAI-SE were different, and the rainfall distributions were not uniform per year. The effects of soil conservation in the plots were superior to those of water conservation. Most of the RE and SE values presented a positive effect on water and soil conservation. The main factor that caused different effects was rainfall intensity. During heavy rains (e.g., rainfall erosivity R = 145 MJ·mm/ha·h and maximum 30 min intensity I30 = 13 mm/h), the main effects were positive, whereas light rains (e.g., R = 70 MJ·mm/ha·h and I30 = 8 mm/h) generally led to negative effects. When the rainfall erosivity was lower than that of the positive or the negative effects to a threshold and the tree LAI reached a transformation value, the relationships between LAI and RE or SE notably transformed. Results showed that the plot-transformation LAIs for water and soil conservation during rainfall events were both approximately 1.0 in our study. These results could be used to come up with a more efficient way to alleviate water and soil loss in water-eroded areas.

Keywords

Water loss Soil erosion Pinus massoniana Soil conservation Transformation LAI 

Abbreviations

LAI

leaf area index

TRL

transformation LAI

RD

runoff depth

SL

soil loss

RE

water conservation effect, that is, the ratio of the runoff depth of each pure tree plot to that of the control plot

SE

soil conservation effect, that is, the ratio of the soil loss of each pure tree plot to that of the control plot

DS

descend, that is, the effect wherein with the increase in LAI, plot water/soil loss predominantly descended

DA

descend-ascend, that is, the effect wherein with the increase in LAI, plot water/soil loss initially descended then ascended

AD

ascend-descend, that is, the effect wherein with the increase in LAI, plot water/soil loss initially ascended then descended

AS

ascend, that is, the effect wherein with the increase in LAI, plot water/soil loss predominantly ascended

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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Xiao-Xia Wu
    • 1
  • Zhu-Jun Gu
    • 1
    Email author
  • Hao Luo
    • 2
  • Xue-Zheng Shi
    • 3
  • Dong-Sheng Yu
    • 3
  1. 1.School of Bio-Chemical and Environmental EngineeringNanjing Xiaozhuang UniversityNanjingChina
  2. 2.Institute of Hydro-geophysical ProspectingChongqing Research Institute of China Coal Technology & Engineering Group CorporationChongqingChina
  3. 3.State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil ScienceChinese Academy of SciencesNanjingChina

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