Abstract：
This study explores the food transport efficiency of termite using an individual-based model. Termites are believed to have evolved tunneling patterns that optimize food search and transport efficiency. However, few studies have investigated transport efficiency due to the difficulty of field observations. The model is characterized by four control variables: the number of simulated termites participating in transport (k1), the distribution of high curvature sections of the termite tunnel (k2), a quantity related to the density of the tunnel sections (k3), and the duration of traffic jams (k4). As k3 increases, the total length of the high curvature section decreases. Our simulation results show that the E(k1, k2) maps for k3 and k4 contain two modes: Mode A shows that E decreases with increasing k1 due to an increase in traffic jams, while Mode B shows E increasing with increasing k1 due to a decrease in the density of curved sections and an increase in jamming resolution time. The partial rank correlation coefficient analysis reveals that k1 and k2 have a negative effect on E, while k3 and k4 have a positive effect, with k1 having the greatest influence on E, followed by k3, k4, and k2. The ecological implications of the simulation results are briefly described, and the limitations of the model are discussed.
摘要：
本研究使用基于个体的模型探讨了白蚁的食物运输效率。白蚁被认为已经进化出隧道模式，可以优化食物搜索和运输效率。然而,由于野外观测的困难，很少有研究调查运输效率。该模型的特征在于四个控制变量：参与运输的模拟白蚁数量（k1），白蚁隧道高曲率段的分布(k2)，与隧道段密度相关的数量(k3)，和交通堵塞的持续时间(k4)。随着k3的增加，高曲率段的总长度减小。我们的模拟结果表明，k3和k4的E（k1，k2）图包含两种模式：模式A表明，由于交通拥堵的增加，E随着k1的增加而减少，而模式B显示E随着k1的增加而增加，这是由于弯曲部分的密度降低和干扰分辨时间增加。偏秩相关系数分析表明，k1和k2对E有负面影响，而k3和k4有积极的作用，k1对E的影响最大，其次是k3、k4和k2。简要描述了模拟结果的生态含义，并讨论了模型的局限性。
