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.

Model complexity affects transient population dynamics following a dispersal event: A case study with pea aphids

Stage-structured population models predict transient population dynamics if the population deviates from the stable stage distribution. Ecologists’ interest in transient dynamics is growing because populations regularly deviate from the stable stage distribution, which can lead to transient dynamics that differ significantly from the stable stage dynamics. Because the structure of a population matrix (i.e., the number of life-history stages) can influence the predicted scale of the deviation, we explored the effect of matrix size on predicted transient dynamics and the resulting amplification of population size. First, we experimentally measured the transition rates between the different life-history stages and the adult fecundity and survival of the aphid, Acythosiphon pisum. Second, we used these data to parameterize models with different numbers of stages. Third, we compared model predictions with empirically measured transient population growth following the introduction of a single adult aphid. We find that the models with the largest number of life-history stages predicted the largest transient population growth rates, but in all models there was a considerable discrepancy between predicted and empirically measured transient peaks and a dramatic underestimation of final population sizes. For instance, the mean population size after 20 days was 2394 aphids compared to the highest predicted population size of 531 aphids; the predicted asymptotic growth rate (λmax) was consistent with the experiments. Possible explanations for this discrepancy are discussed. Includes 4 supplemental files.