Fungal ecology is often studied using short fragments of Deoxyribonucleic acid (DNA). These DNA fragments can approximate fungal species using different computational methods but the best choice is not clear. We analysed large, simulated fungal communities to overcome the limitations of experimental work and compare different analysis workflows. Our results identify the analysis choices which give the closest match to reality. This should help guide study design in fungal ecology.