DYNAMIC BEHAVIOR OF DOUGLAS-FIR TUSSOCK MOTH POPULATIONS IN THE PACIFIC-NORTHWEST

Authors
Citation
Rr. Mason, DYNAMIC BEHAVIOR OF DOUGLAS-FIR TUSSOCK MOTH POPULATIONS IN THE PACIFIC-NORTHWEST, Forest science, 42(2), 1996, pp. 182-191
Citations number
48
Categorie Soggetti
Forestry
Journal title
ISSN journal
0015749X
Volume
42
Issue
2
Year of publication
1996
Pages
182 - 191
Database
ISI
SICI code
0015-749X(1996)42:2<182:DBODTM>2.0.ZU;2-W
Abstract
Larval densities of the Douglas-fir tussock moth (Orgyia pseudotsugata [McDunnough] [Lepidoptera:Lymantriidae]) were monitored annually to c onstruct population time series in five different forest ecosystems. T he time series were generated in parts of five national forests in thr ee geographical provinces: the northern Blue Mountains of northeastern Oregon, the southern Cascade Range of south-central Oregon, and the n orthern Cascade Range of north-central Washington. The five series ran ged in length from 12 to 23 yr and represented the broad numerical beh avior of tussock moth populations in those provinces. Time series with the most variable fluctuations were recorded in the Blue Mountains, a region with a long history of regular tussock moth outbreaks. The lea st variable series was in the southern Cascades, an area with no previ ously documented outbreaks. Characteristics of series in the Blue Moun tains and the northern Cascades were significantly correlated with one another, but not with those of the series in the southern Cascades. T he density-dependent structure of each time series was examined by aut ocorrelation and partial autocorrelation functions, which indicated th at fluctuations were quasi-periodic, even at low densities, and that t he most significant autoregressive process was a second-order feedback . Each time series was fit with a linear second-order autoregressive m odel and a discrete nonlinear logistic model with a single time delay. The models, based on density-dependent processes associated with prec eding insect generations, accounted for an average of 44.6% of the var iation in the time series. The remaining 55.4% of variation was due to unknown density-independent factors related to different years in the series. The models showed that the principal dynamics of tussock moth populations are generated by direct and delayed density-dependent pro cesses. In outbreak-prone ecosystems, like those in the Blue Mountains and the northern Cascades, the primary regulation of insect numbers i s by delayed feedback processes that result in populations sometimes h aving extreme fluctuations in density. Conversely, in nonoutbreak ecos ystems, as in the southern Cascades, feedback is more balanced between both direct and delayed processes that stabilize populations at lower densities. External factors, like weather, also may influence the num erical behavior of populations to some extent, but their specific cont ribution to tussock moth dynamics is largely unknown.