From an evolutionary perspective, it is speculated that termites have evolved to construct tunnels in a manner that optimizes search and transport efficiency. While numerous studies have focused on search efficiency, there has been limited research on transport efficiency due to the challenges associated with direct field observations. To address this challenge, we developed an individual-based model to simulate the transport process. Using the model, we examine the effects of several key variables on transport efficiency, Based on our results, we discuss potential strategies that termites might employ to optimize transport efficiency. In addition, we briefly discuss ways to improve the realism of the model.

Subterranean termiteslive in the soil and wood that is in contact with soil. They have to discover food by constructing underground tunnel networks. Once the food is discovered and connected to the galleries, one important aspect of the foraging behavior is the food transfer by individual termites moving within the existing tunnels that lead to multiple existing food sources. In order to reveal how much the tunnel network is reliable to the food transfer efficiency, we used a lattice model suggested by Lee et al. (2006), which is capable of simulating the tunnel networks of Coptotermes formosanus and Riparius flavipes. After constructing the simulated tunnel networks, we randomly distributed food particles on the tunnel networks and then computed path entropy for the networksby selecting and evaluating the shortest paths from encountered food particles to the nest. The path entropy measured the degree of reliability of the networks for the food transfer entropy. Simulation results showed that path entropy between the simulated networks of C. formosanus and R. flavipes was significantly different due to the combinational effects of the network components such as the number of primary tunnels and the branching probability. We discussed the meaning of the results in relation to termite foraging efficiency.

Subterranean termites excavate tunnels for searching and transporting food below the ground, which in turn causes complicated tunnel networks. In the present study, we explored the connectedness of the networks by using spectral graph theory. In the theory, tunnel network pattern can be constitutively expressed by the Laplacian matrix, and among the set of all eigenvalues of the matrix, the second eigenvalue directly reflects the degree of the connectedness. We constructed the simulated tunnel networks for Coptotermes formosanus and Riparius flavipes by the use of a lattice model suggested by Lee et al., (2006) and computed their connectedness. The results showed that the values of the connectedness between the two species were statistically-significantly different. We briefly discussed the results in relation to foraging efficiency.

Subterranean termites construct underground tunnels, tens to hundreds of meters in length, in order to search for and transport resources. Diverse soil conditions surrounding the tunnels, such as soil pores and differing moisture concentrations, may cause different sized- and shaped-irregularities in the tunnels. To understand how individual termites respond to the irregularities, the present study monitored the movement of termites, Coptotermes formosanus Shiraki, in artificially excavated tunnels with rectangular irregularities of varying sizes in twodimensional sand substrates. Termites tunneled at some of the irregularities and not at the others. The tunneling or non-tunneling behavior resulted from four different responses. The non-tunneling response may result from a behavioral adaptation that allows termites to avoid wasting energy that may be used in foraging.