In‐situ tin casting combined with three‐dimensional scanner to quantify anecic earthworm burrows

Abstract

Earthworms (Lumbricus terrestris) play a critical role in soil ecosystems. Analyzing the spatial structure of earthworm burrows is important to understand their effect on water flow and solute transport. The aim of this study was to quantitatively characterize structural characteristics (cross-sectional area [A], circularity [C], diameter [D], actual length [L t ], tortuosity [τ]) of anecic earthworm burrows that were open and connected at the soil surface at two sites of different tillage treatments (no-till at Lu Yuan [LY] and rotary tillage at Shang Zhuang [SZ]) by combining a new insitu tin casting method with three-dimensional (3D) laser scanning technology. The cross-sections of anecic earthworm burrows were almost circular, and the C values were significantly negatively correlated with D and A. Statistically, there were no significant differences in the τ values (1.143 ± 0.082 vs. 1.133 ± 0.108) of anecic earthworm burrows at LY and SZ, but D (6.456 ± 1.585 mm) and A (36.929 ± 21.656 mm 2 ) of anecic earthworm burrows at LY were significantly larger than D (3.449 ± 0.531 mm) and A (9.786 ± 2.885 mm 2 ) at SZ. Our study showed that burrow structures at two different sites differed from each other. Soil tillage methods, soil texture, and soil organic matter content at the two sites could have affected earthworm species composition, variation of earthworm size and the morphology of burrows. The method used in this research enabled us to adequately assess the spatial structure of anecic earthworm burrows in the field with a limited budget.

Numerical Study of the Influence of Horizontal Spatial Distribution of Macropores on Water Infiltration

“…The values of characteristic parameters (such as macroporosity and length, etc.) in this study are based on the shape parameters measured at Lvyuan Experimental Station [21,47]. Abundant random simulations are conducted here to ensure the spatial distribution of modeled macropores is close to the spatial distribution of inartificial macropores, and to reduce the influence of accidental factors on obtaining the general conclusions and rules of the projects we study [48,49].…”