Weakest-link control of invasive species: Impacts of memory, bounded rationality and network structure in repeated cooperative games

TL;DR

This paper models cooperative pest control among land managers using network-based repeated games, revealing how trust, payments, and network structure influence cooperation stability and effectiveness.

Contribution

It introduces a weakest-link coordination game model incorporating trust and network effects to analyze invasive species management strategies.

Findings

Higher trust reduces necessary biosecurity payments.

Uncertainty in decision-making can enhance cooperation at low payments.

Increased network connectivity raises the critical payment needed for cooperation.

Abstract

The nature of dispersal of many invasive pests and pathogens in agricultural and forestry makes it necessary to consider how the actions of one manager affect neighbouring properties. In addition to the direct effects of a potential spread of a pest and the resulting economic loss, there are also indirect consequences that affect whole regions and that require coordinated actions to manage and/or to eradicate it (like movement restrictions). In this paper we address the emergence and stability of cooperation among agents who respond to a threat of an invasive pest or disease. The model, based on the weakest-link paradigm, uses repeated multi-participant coordination games where players' pay-offs depend on management decisions to prevent the invasion on their own land as well as of their neighbours on a network. We show that for the basic cooperation game agents select the risk-dominant strategy of a Stag hunt game over the pay-off dominant strategy of implementing control measures. However, cooperation can be achieved by the social planner offering a biosecurity payment. The critical level of this payment depends on the details of the decision-making process, with higher trust (based on a reputation of other agents reflecting their past performance) allowing a significant reduction in necessary payments and slowing down decay in cooperation when the payment is low. We also find that allowing for uncertainty in decision-making process can enhance cooperation for low levels of payments. Finally, we show the importance of industry structure to the emergence of cooperation, with increase in the average coordination number of network nodes leading to increase in the critical biosecurity payment.