TY - JOUR A1 - Manning, Pete A1 - Gossner, Martin M. A1 - Bossdorf, Oliver A1 - Allan, Eric A1 - Zhang, Yuan-Ye A1 - Prati, Daniel A1 - Blüthgen, Nico A1 - Boch, Steffen A1 - Böhm, Stefan A1 - Börschig, Carmen A1 - Hölzel, Norbert A1 - Jung, Kirsten A1 - Klaus, Valentin H. A1 - Klein, Alexandra Maria A1 - Kleinebecker, Till A1 - Krauss, Jochen A1 - Lange, Markus A1 - Müller, Jörg A1 - Pasalic, Esther A1 - Socher, Stephanie A. A1 - Tschapka, Marco A1 - Türke, Manfred A1 - Weiner, Christiane A1 - Werner, Michael A1 - Gockel, Sonja A1 - Hemp, Andreas A1 - Renner, Swen C. A1 - Wells, Konstans A1 - Buscot, Francois A1 - Kalko, Elisabeth K. V. A1 - Linsenmair, Karl Eduard A1 - Weisser, Wolfgang W. A1 - Fischer, Markus T1 - Grassland management intensification weakens the associations among the diversities of multiple plant and animal taxa JF - Ecology : a publication of the Ecological Society of America N2 - Land-use intensification is a key driver of biodiversity change. However, little is known about how it alters relationships between the diversities of different taxonomic groups, which are often correlated due to shared environmental drivers and trophic interactions. Using data from 150 grassland sites, we examined how land-use intensification (increased fertilization, higher livestock densities, and increased mowing frequency) altered correlations between the species richness of 15 plant, invertebrate, and vertebrate taxa. We found that 54% of pairwise correlations between taxonomic groups were significant and positive among all grasslands, while only one was negative. Higher land-use intensity substantially weakened these correlations(35% decrease in rand 43% fewer significant pairwise correlations at high intensity), a pattern which may emerge as a result of biodiversity declines and the breakdown of specialized relationships in these conditions. Nevertheless, some groups (Coleoptera, Heteroptera, Hymenoptera and Orthoptera) were consistently correlated with multidiversity, an aggregate measure of total biodiversity comprised of the standardized diversities of multiple taxa, at both high and lowland-use intensity. The form of intensification was also important; increased fertilization and mowing frequency typically weakened plant-plant and plant-primary consumer correlations, whereas grazing intensification did not. This may reflect decreased habitat heterogeneity under mowing and fertilization and increased habitat heterogeneity under grazing. While these results urge caution in using certain taxonomic groups to monitor impacts of agricultural management on biodiversity, they also suggest that the diversities of some groups are reasonably robust indicators of total biodiversity across a range of conditions. KW - Biodiversity indicators KW - correlation KW - fertilization KW - grassland management KW - grazing KW - land-use change KW - land-use intensity KW - mowing KW - multidiversity KW - multitrophic interactions Y1 - 2015 U6 - https://doi.org/10.1890/14-1307.1 SN - 0012-9658 SN - 1939-9170 VL - 96 IS - 6 SP - 1492 EP - 1501 PB - Wiley CY - Washington ER - TY - JOUR A1 - Bents, Dominik A1 - Rybak, Alexander A1 - Groth, Detlef T1 - Spatial conscript body height correlation of Norwegian districts in the 19th century JF - Anthropologischer Anzeiger : journal of biological and clinical anthropology ; Mitteilungsorgan der Gesellschaft für Anthropologie N2 - Background: We investigated height of Norwegian conscripts in view of the hypothesis of a "community effect on height" using autocorrelation analysis of district heights within a time-span of 20 years at the end of the 19th century and correlations between neighboring districts at this time. Material and methods: After digitalizing available body height data of Norwegian draftees in 1877-1878, 1880 (averaged as 1878), and 1895-1897 (averaged as 1896) we calculated the magnitude of autocorrelation of body height within the same municipality at different time points. Furthermore, we generated three different neighborhood networks, (1) based on Euclidean distances, (2) a minimum spanning tree build on those distances, (3) a network founded on real world road connections. The networks were used to determine the correlation between body height of neighboring districts depending on the number of edges required to connect two municipalities. Results: The autocorrelation value for body heights was around r = 0.5 (for all p < 0.001) in the years 1878 and 1896. The correlation between neighboring districts varied in the Euclidean distance based network between 0.47 and 0.27 approximately for both years in a sorted order, descending from nearest (0-50 km) to farthest (150-200 km, for all p < 0.001). First order neighbors in the minimum spanning tree network correlation was 0.36 in 1878 and 0.42 in 1896 (for all p < 0.001). The values of neighbor correlation in the road connection based network ranged in 1878 from 0.42 (first order neighbors) to 0.17 (forth order neighbors, for all p < 0.01) and in 1896 from 0.46 (first order neighbors) to 0.12 (forth order neighbors, for all p < 0.05). Conclusion: This initial study of Norwegian conscript height data from the 19th century showed significant medium sized effects for the within district autocorrelation between 1878 and 1896 as well as medium neighborhood correlation, slightly lower in comparison to a recent study regarding Swiss conscripts. Digitalizing more data from other years in this and later time spans as well as using older road and ship connections instead of the actual road data might stabilize and improve those findings. KW - body height KW - correlation KW - Norway KW - conscripts KW - community effect on height Y1 - 2017 U6 - https://doi.org/10.1127/anthranz/2017/0700 SN - 0003-5548 SN - 2363-7099 VL - 74 IS - 1 SP - 65 EP - 69 PB - Schweizerbart CY - Stuttgart ER - TY - JOUR A1 - Lebedeva, Lidia A1 - Groth, Detlef A1 - Hermanussen, Michael A1 - Scheffler, Christiane A1 - Godina, Elena T1 - The network effects on conscripts' height in the central provinces of Russian empire in the middle of XIX century BT - at the beginning of XX century JF - Journal of biological and clinical anthropology : Anthropologischer Anzeiger ; Mitteilungsorgan der Gesellschaft für Anthropologie N2 - Background: We investigated average body height in the central provinces of the Russian empire in the middle of XIX century in view of the concept of "community effects on height". We analyzed body height correlations between neighboring districts at this time. We added information about secular changes in body height during the 19th century of this territory. Material and methods: The study used height data of conscripts, which were born in the years 1853-1863, and age 21 at the time of measurement. The territory of seven provinces was considered as a network with 105 nodes, each node representing one district with information on average male body height. In order to define neighboring districts three different approaches were used: based on the "common borders" method, based on Euclidean distances (from 60 to 120 km), based on real road connections. Results: Small but significant correlation coefficients were observed between 1st order districts in the network based on Euclidean distance of 100 km (r = 0.256, p-value = 0.006) and based on "the common borders" approach (r = 0.25, p-value = 0.02). Wherein no significant correlations were observed in the network based on road connections and between second order neighbors regardless of the method. Conclusion: Height correlation coefficients between 1st order neighboring districts observed in the Russian districts were very similar to values observed in the Polish study (r = 0.24). The considered Russian territory and the territory of Poland have a lot in common. They consist of both plains without mountains. In contradistinction to Poland the transport infrastructure in Russia was weakly developed in the middle of XIX century. In addition, the mobility of people was limited by serfdom. In this context the absent of significant correlation of second order neighbors can be explained by low population density and lack of migration and communication between the districts. KW - body height KW - correlation KW - conscripts KW - community effect on height KW - Russian empire Y1 - 2019 U6 - https://doi.org/10.1127/anthranz/2019/0984 SN - 0003-5548 VL - 76 IS - 5 SP - 371 EP - 377 PB - Schweizerbart CY - Stuttgart ER - TY - JOUR A1 - Hake, Tim A1 - Bodenberger, Bernhard A1 - Groth, Detlef T1 - In Python available: St. Nicolas House Algorithm (SNHA) with bootstrap support for improved performance in dense networks JF - Human biology and public health N2 - The St. Nicolas House Algorithm (SNHA) finds association chains of direct dependent variables in a data set. The dependency is based on the correlation coefficient, which is visualized as an undirected graph. The network prediction is improved by a bootstrap routine. It enables the computation of the empirical p-value, which is used to evaluate the significance of the predicted edges. Synthetic data generated with the Monte Carlo method were used to firstly compare the Python package with the original R package, and secondly to evaluate the predicted network using the sensitivity, specificity, balanced classification rate and the Matthew's correlation coefficient (MCC). The Python implementation yields the same results as the R package. Hence, the algorithm was correctly ported into Python. The SNHA scores high specificity values for all tested graphs. For graphs with high edge densities, the other evaluation metrics decrease due to lower sensitivity, which could be partially improved by using bootstrap,while for graphs with low edge densities the algorithm achieves high evaluation scores. The empirical p-values indicated that the predicted edges indeed are significant. KW - Python KW - correlation KW - network reconstruction KW - bootstrap KW - St. Nicolas House Algorithm Y1 - 2023 U6 - https://doi.org/10.52905/hbph2023.1.63 SN - 2748-9957 VL - 1 PB - Universitätsverlag Potsdam CY - Potsdam ER -