A European Culture War in the Twentieth Century? Antic-Catholicism and Anti-Bolshevism between Moscow, Berlin, and the Vatican 1922 to 1933

The term “culture war” has become a generic expression for secular-catholic conflicts across nineteenth-century Europe. Yet, if measured by acts of violence, anticlericalism peaked in the years between 1927 and 1939, when thousands of Catholic priests and believers were imprisoned or executed and hundreds of churches razed in Mexico, Spain and Russia. This essay argues that not only in these three countries, but indeed across Europe a culture war raged in the interwar period. It takes, as a case study, the interaction of communist and Catholic actors located in the Vatican, the Soviet Union, and Germany in the period between the beginning of the Pontificate of Pius XI in 1922 and Hitler’s appointment as chancellor of Germany in 1933. Using correspondence and reports from the Vatican archives, this essay shows how Papal officials and communist leaders each sought to mobilize the German populace to achieve their own diplomatic ends. German Catholics and communists gladly responded to the call to arms that sounded from Rome and Moscow in 1930, but they did so also to further their own domestic goals. The case study shows how national contexts inflected the transnational dynamics of radical anti-Catholicism in interwar Europe. In the end, agitation against “godlessness” did not lead to the return of a “Christian State” desired by many conservative Christians. Instead, the culture war further destabilized the republic and added a religious dimension to a landscape well suited to National Socialist efforts to reach a Christian population otherwise mistrustful of its völkisch and anticlerical elements.

New age estimates and climatostratigraphic correlations for the Borrobol and Penifiler Tephras: evidence from Abernethy Forest, Scotland

The emerging tephrostratigraphy of NW Europe spanning the last termination (ca. 15–9 ka) provides the potential for synchronizing marine, ice-core and terrestrial records, but is currently compromised by stratigraphic complications, geochemical ambiguity and imprecise age estimates for some layers. Here we present new tephrostratigraphic, radiocarbon and chironomid-based
palaeotemperature data from Abernethy Forest, Scotland, that refine the ages and stratigraphic positions of the Borrobol and Penifiler tephras. The Borrobol Tephra (14.14–13.95 cal ka BP) was deposited in a relatively warm period equated with Greenland Interstadial sub-stage GI-1e. The younger Penifiler Tephra (14.09–13.65 cal ka BP) is closely associated with a cold oscillation equated with GI-
1d. We also present evidence for a previously undescribed tephra layer that has a major-element chemical signature identical to the Vedde Ash. It is associated with the warming trend at the end of the Younger Dryas, and dates between 11.79 and 11.20 cal ka BP.

Predicting forest attributes In southeast Alaska using artificial neural networks

Artificial neural network (ANN) methods are used to predict forest characteristics. The data source is the Southeast Alaska (SEAK) Grid Inventory, a ground survey compiled by the USDA Forest Service at several thousand sites. The main objective of this article is to predict characteristics at unsurveyed locations between grid sites. A secondary objective is to evaluate the relative performance of different ANNs. Data from the grid sites are used to train six ANNs: multilayer perceptron, fuzzy ARTMAP, probabilistic, generalized regression, radial basis function, and learning vector quantization. A classification and regression tree method is used for comparison. Topographic variables are used to construct models: latitude and longitude coordinates, elevation, slope, and aspect. The models classify three forest characteristics: crown closure, species land cover, and tree size/structure. Models are constructed using n-fold cross-validation. Predictive accuracy is calculated using a method that accounts for the influence of misclassification as well as measuring correct classifications. The probabilistic and generalized regression networks are found to be the most accurate. The predictions of the ANN models are compared with a classification of the Tongass national forest in southeast Alaska based on the interpretation of satellite imagery and are found to be of similar accuracy.

Enchytraeid worms retard polycyclic aromatic hydrocarbon degradation in a coniferous forest soil

In this study the fate of naphthalene, fluorene and pyrene were investigated in the presence and absence of enchytraeid worms. Microcosms were used, which enabled the full fate of ¹⁴C-labelled PAHs to be followed. Between 60 and 70% of naphthalene was either mineralised or volatilised, whereas over 90% of the fluorene and pyrene was retained within the soil. Mineralisation and volatilisation of naphthalene was lower in the presence of enchytraeid worms. The hypothesis that microbial mineralisation of naphthalene was limited by enchytraeids because they reduce nutrient availability, and hence limit microbial carbon turnover in these nutrient poor soils, was tested. Ammonia concentrations increased and phosphorus concentrations decreased in all microcosms over the 56 d experimental period. The soil nutrient chemistry was only altered slightly by enchytraeid worms, and did not appear to be the cause of retardation of naphthalene mineralisation. The results suggest that microbial availability and volatilisation of naphthalene is altered as it passes through enchytraeid worms due to organic material encapsulation. © 2004 Elsevier Ltd. All rights reserved.