Contributions of demography and dispersal parameters to the spatial spread of a stage-structured insect invasion

Stage-structured models that integrate demography and dispersal can be used to identify points in the life cycle with large effects on rates of population spatial spread, information that is vital in the development of containment strategies for invasive species. Current challenges in the application of these tools include: (1) accounting for large uncertainty in model parameters, which may violate assumptions of ‘‘local’’ perturbation metrics such as sensitivities and elasticities, and (2) forecasting not only asymptotic rates of spatial spread, as is usually done, but also transient spatial dynamics in the early stages of invasion. We developed an invasion model for the Diaprepes root weevil (DRW; Diaprepes abbreviatus [Coleoptera: Curculionidae]), a generalist herbivore that has invaded citrus-growing regions of the United States. We synthesized data on DRW demography and dispersal and generated predictions for asymptotic and transient peak invasion speeds, accounting for parameter uncertainty. We quantified the contributions of each parameter toward invasion speed using a ‘‘global’’ perturbation analysis, and we contrasted parameter contributions during the transient and asymptotic phases. We found that the asymptotic invasion speed was 0.02–0.028 km/week, although the transient peak invasion speed (0.03– 0.045 km/week) was significantly greater. Both asymptotic and transient invasions speeds were most responsive to weevil dispersal distances. However, demographic parameters that had large effects on asymptotic speed (e.g., survival of early-instar larvae) had little effect on transient speed. Comparison of the global analysis with lower-level elasticities indicated that local perturbation analysis would have generated unreliable predictions for the responsiveness of invasion speed to underlying parameters. Observed range expansion in southern Florida (1992–2006) was significantly lower than the invasion speed predicted by the model. Possible causes of this mismatch include overestimation of dispersal distances, demographic rates, and spatiotemporal variation in parameter values. This study demonstrates that, when parameter uncertainty is large, as is often the case, global perturbation analyses are needed to identify which points in the life cycle should be targets of management. Our results also suggest that effective strategies for reducing spread during the asymptotic phase may have little effect during the transient phase. Includes Appendix.

RB34-71 Effects of Inflation and Deflation Upon Nebraska Agriculture, 1914 to 1932

Nebraska farmers prospered during the period which followed the depression of the nineties and preceded the beginning of the World War. To be sure the prosperity was not uniformly distributed either by years or by areas. The corn crop was unusually short in a large portion of the state in 1901 and an almost total failure in many of the southern counties in 1913. Chinch bugs did considerable injury in 1901 and the Hessian fly in 1905 and 1914. There was noticeable damage from insects in some areas in other years. No part of the state, however, suffered from long-continued drouth or repeated ravages of insect pests. The depression of 1907 affected credit and prices very severly for a few months, but recovery was rapid and within less than a year business was again moving forward. This 1934 research bulletin covers the problems of inflation and deflation; changes in the prices of various commodities during inflation and deflation; prices and purchasing power of Nebraska farm products, 1914 to 1932; adjustments during inflation and deflation; the effect of wages on Nebraska agriculture; taxes; Nebraska farm income; changes in types of farming in Nebraska, 1914 to 1932; the banking situation; Nebraska farm land prices; and the effects of inflation and deflation upon Nebraska businesses.