LI Ziqing, WANG Jinman, SHI Wenting, et al. Spatial Distribution Characteristics of the Throughfall for Typical Tree Species in Dump Site[J]. 2022, 36(6): 271-279.
DOI:
LI Ziqing, WANG Jinman, SHI Wenting, et al. Spatial Distribution Characteristics of the Throughfall for Typical Tree Species in Dump Site[J]. 2022, 36(6): 271-279. DOI: 10.13870/j.cnki.stbcxb.2022.06.033.
Spatial Distribution Characteristics of the Throughfall for Typical Tree Species in Dump Site
Throughfall is the main component of rainfall redistribution
which affects vegetation growth and soil moisture distribution. Taking the typical tree species in the southern dump of Pingshuo mining area as the research object
the spatial distribution characteristics of throughfall of Pinus tabulaeformis
Robinia pseudoacacia
Euonymus maackii
Caragana microphylla and Elaeagnus multiflora were compared and analyzed by using geostatistical methods and time stability plots. The average throughfall percent from large to small was: Elaeagnus multiflora
Caragana microphylla
Pinus tabulaeformis
Euonymus maackii
Robinia pseudoacacia. The coefficient of variability of throughfall percent from large to small was Euonymus maackii
Elaeagnus multiflora
Caragana microphylla
Pinus tabulaeformis
Robinia pseudoacacia. The throughfall percent of Pinus tabulaeformis
Robinia pseudoacacia
Euonymus maackii
Caragana microphylla and Elaeagnus multiflora increased with the increase of rainfall
and finally reached a steady state
and the coefficient of variability of throughfall percent decreased rapidly with the increase of rainfall
and finally reached a steady state
and the logarithmic function was the best fitting effect. The still of throughfall percent decreased exponentially with the increase of rainfall
and the nugget coefficient increased with the increase of rainfall
indicating that with the increase of rainfall
the throughfall percent tended to be uniform in space
and the spatial heterogeneity caused by random factors gradually increased. Moreover
the throughfall percent of the five tree species was higher than 100% in the middle and outer parts of the plant canopy. The temporal stability of the distribution pattern of throughfall shrubs was higher than that of trees. The canopy near the base and the outer edge of the canopy showed extreme persistence of throughfall. The base near the vegetation was mostly in an extremely dry state
and the outer edge of the canopy was mostly in an extremely wet state. Considering the throughfall percent and its spatial variability
Robinia pseudoacacia was the best choice of vegetation type for reconstruction in soil erosion areas. The throughfall appeared continuously wet at the edge of the vegetation canopy
and some shrubs could be planted to intercept part of the throughfall. These research results could enhance the understanding of the ecological and hydrological process of the mining dump
and provide a theoretical basis for the selection of vegetation for the reconstruction of the mining dump.
Johnson M S, Lehmann J. Double-funneling of trees: Stemflow and root-induced preferential flow[J].Ecoscience,2006,13(3):324-333.
Návar J, González J M, Gonzalez H. Gross precipitation and throughfall chemistry in legume species planted in Northeastern México[J].Plant and Soil,2009,318(1/2):15-26.
Schume H, Jost G, Katzensteiner K. Spatio-temporal analysis of the soil water content in a mixed Norway spruce (
Picea abies
(L.) Karst.)-European beech (
Fagus sylvatica
L.) stand[J].Geofisica Internacional,2003,112(3):273-287.
Rosier C L, Van Stan J T, Moore L D, et al. Forest canopy structural controls over throughfall affect soil microbial community structure in an epiphyte laden maritime oak stand[J].Ecohydrology,2015,8(8):1459-1470.
Zhu X, He Z B, Du J, et al. Spatial heterogeneity of throughfall and its contributions to the variability in near-surface soil water-content in semiarid mountains of China[J].Forest Ecology and Management,2021,488:1-12.
Sheng H C, Cai T J. Spatial variability of throughfall in a Larch (
Larix gmelinii
) forest in Great Kingan Mountain, Northeastern China[J].Forests,2021,12(4):e393.
Zhang W J, Zhu X A, Chen C F, et al. Large broad-leaved canopy of banana (
Musa nana
Lour.) induces dramatically high spatial-temporal variability of throughfall[J].Hydrology Research,2021,52(6):1223-1238.
Rodrigues A F, Terra M C N S, Mantovani V A, et al. Throughfall spatial variability in a neotropical forest: Have we correctly accounted for time stability?[J].Journal of Hydrology,2022,608:e127632.
Fathizadeh O, Sadeghi S M M, Pazhouhan I, et al. Spatial variability and optimal number of rain gauges for sampling throughfall under single oak trees during the leafless period[J].Forests,2021,12(5):e585.
Zhang H X, Wu H W, Li J, et al. Spatial-temporal variability of throughfall in a subtropical deciduous forest from the hilly regions of eastern China[J].Journal of Mountain Science,2019,16(8):1788-1801.
Zimmermann A, Germer S, Neill C, et al. Spatio-temporal patterns of throughfall and solute deposition in an open tropical rain forest[J].Journal of Hydrology,2008,360(1):87-102.
Zimmermann A, Zimmermann B, Elsenbeer H. Rainfall redistribution in a tropical forest: Spatial and temporal patterns[J /OL].Water Resources Research,2009,45(11). https://doi.org/10.1029/2008WR007470.
Zhang Y F, Wang X P, Hu R, et al. Throughfall and its spatial variability beneath xerophytic shrub canopies within water-limited arid desert ecosystems[J].Journal of Hydrology,2016,539(2):406-416.