Development of Enumerative and Binomial Sequential Sampling Plans for Monitoring Lymantria dispar (L.) (Lepidoptera Erebidae) in Mediterranean Oak Forests

• Published in: Agronomy (Basel) Vol. 12; no. 7; p. 1501
• Main Authors: Mannu, Roberto, Olivieri, Maurizio, Cocco, Arturo, Lentini, Andrea
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-07-2022
• Subjects: Agglomeration; Analysis of covariance; Control programs; Cork; Datasets; Decision making; Eggs; forest defoliator; Forests; Green’s method; Lymantria dispar; Methods; Monitoring; Oak; pest monitoring; Population density; Quercus suber; Sample size; Sampling; Sampling methods; Sequential sampling; spongy moth; Taylor’s power law; Trees; Yield point; Italy
• ISSN: 2073-4395; 2073-4395
• DOI: 10.3390/agronomy12071501

Lymantria dispar is the main threat to Mediterranean forests. Sampling methods used for monitoring the pest population density are generally very time-consuming for practical purposes, such as the delimitation of infested areas for control programs. Enumerative and binomial sequential sampling plans were developed using data collected in cork oak forests in Sardinia (Italy). The Taylor’s power law (TPL) was used to evaluate the degree of aggregation of L. dispar egg masses among trees and to develop enumerative sampling plans at precision levels of 0.10 and 0.25 using the Green’s method. Furthermore, binomial plans were computed by Wald’s sequential probability ratio test. Lymantria dispar egg masses on trees were significantly aggregated and the degree of aggregation was similar in all population development phases. Overall, only 31 cork oak trees are to be monitored at the economic damage threshold of 2.5 egg masses/tree with a precision level of 0.25. Binomial sequential sampling plans also required lower sampling sizes (26.9–31.4 trees) than conventional sampling plans. Enumerative and binomial sampling plans could represent suitable methods for sampling L. dispar egg masses in Mediterranean forests, with the practical advantage of lower cost and time consumption than standard sampling plans.