TY - JOUR A1 - Sorkau, Elisabeth A1 - Boch, Steffen A1 - Boeddinghaus, Runa S. A1 - Bonkowski, Michael A1 - Fischer, Markus A1 - Kandeler, Ellen A1 - Klaus, Valentin H. A1 - Kleinebecker, Till A1 - Marhan, Sven A1 - Müller, Jörg A1 - Prati, Daniel A1 - Schoening, Ingo A1 - Schrumpf, Marion A1 - Weinert, Jan A1 - Oelmann, Yvonne T1 - The role of soil chemical properties, land use and plant diversity for microbial phosphorus in forest and grassland soils JF - Journal of plant nutrition and soil science = Zeitschrift für Pflanzenernährung und Bodenkunde N2 - Management intensity modifies soil properties, e.g., organic carbon (C-org) concentrations and soil pH with potential feedbacks on plant diversity. These changes might influence microbial P concentrations (P-mic) in soil representing an important component of the Pcycle. Our objectives were to elucidate whether abiotic and biotic variables controlling P-mic concentrations in soil are the same for forests and grasslands, and to assess the effect of region and management on P-mic concentrations in forest and grassland soils as mediated by the controlling variables. In three regions of Germany, Schwabische Alb, Hanich-Dun, and Schorfheide-Chorin, we studied forest and grassland plots (each n=150) differing in plant diversity and land-use intensity. In contrast to controls of microbial biomass carbon (C-mic), P-mic was strongly influenced by soil pH, which in turn affected phosphorus (P) availability and thus microbial Puptake in forest and grassland soils. Furthermore, P-mic concentrations in forest and grassland soils increased with increasing plant diversity. Using structural equation models, we could show that soil C-org is the profound driver of plant diversity effects on P-mic in grasslands. For both forest and grassland, we found regional differences in P-mic attributable to differing environmental conditions (pH, soil moisture). Forest management and tree species showed no effect on P-mic due to a lack of effects on controlling variables (e.g., C-org). We also did not find management effects in grassland soils which might be caused by either compensation of differently directed effects across sites or by legacy effects of former fertilization constraining the relevance of actual practices. We conclude that variables controlling P-mic or C-mic in soil differ in part and that regional differences in controlling variables are more important for P-mic in soil than those induced by management. KW - age class forest KW - land-use intensity KW - meadow KW - microbes KW - pasture KW - unmanaged forest Y1 - 2018 U6 - https://doi.org/10.1002/jpln.201700082 SN - 1436-8730 SN - 1522-2624 VL - 181 IS - 2 SP - 185 EP - 197 PB - Wiley-VCH CY - Weinheim ER - TY - JOUR A1 - Näther, Astrid A1 - Fösel, Bärbel U. A1 - Nägele, Verena A1 - Wüst, Pia K. A1 - Weinert, Jan A1 - Bonkowski, Michael A1 - Alt, Fabian A1 - Oelmann, Yvonne A1 - Polle, Andrea A1 - Lohaus, Gertrud A1 - Gockel, Sonja A1 - Hemp, Andreas A1 - Kalko, Elisabeth K. V. A1 - Linsenmair, Karl Eduard A1 - Pfeiffer, Simone A1 - Renner, Swen A1 - Schöning, Ingo A1 - Weisser, Wolfgang W. A1 - Wells, Konstans A1 - Fischer, Markus A1 - Overmann, Jörg A1 - Friedrich, Michael W. T1 - Environmental factors affect acidobacterial communities below the subgroup level in Grassland and Forest Soils JF - Applied and environmental microbiology N2 - In soil, Acidobacteria constitute on average 20% of all bacteria, are highly diverse, and are physiologically active in situ. However, their individual functions and interactions with higher taxa in soil are still unknown. Here, potential effects of land use, soil properties, plant diversity, and soil nanofauna on acidobacterial community composition were studied by cultivation-independent methods in grassland and forest soils from three different regions in Germany. The analysis of 16S rRNA gene clone libraries representing all studied soils revealed that grassland soils were dominated by subgroup Gp6 and forest soils by subgroup Gp1 Acidobacteria. The analysis of a large number of sites (n = 57) by 16S rRNA gene fingerprinting methods (terminal restriction fragment length polymorphism [T-RFLP] and denaturing gradient gel electrophoresis [DGGE]) showed that Acidobacteria diversities differed between grassland and forest soils but also among the three different regions. Edaphic properties, such as pH, organic carbon, total nitrogen, C/N ratio, phosphorus, nitrate, ammonium, soil moisture, soil temperature, and soil respiration, had an impact on community composition as assessed by fingerprinting. However, interrelations with environmental parameters among subgroup terminal restriction fragments (T-RFs) differed significantly, e.g., different Gp1 T-RFs correlated positively or negatively with nitrogen content. Novel significant correlations of Acidobacteria subpopulations (i.e., individual populations within subgroups) with soil nanofauna and vascular plant diversity were revealed only by analysis of clone sequences. Thus, for detecting novel interrelations of environmental parameters with Acidobacteria, individual populations within subgroups have to be considered. Y1 - 2012 U6 - https://doi.org/10.1128/AEM.01325-12 SN - 0099-2240 VL - 78 IS - 20 SP - 7398 EP - 7406 PB - American Society for Microbiology CY - Washington ER - TY - JOUR A1 - Mulder, Christian A1 - Boit, Alice A1 - Bonkowski, Michael A1 - De Ruiter, Peter C. A1 - Mancinelli, Giorgio A1 - Van der Heijden, Marcel G. A. A1 - Van Wijnen, Harm J. A1 - Vonk, J. Arie A1 - Rutgers, Michiel ED - Woodward, G T1 - A belowground perspective on dutch agroecosystems how soil organisms interact to support ecosystem services JF - Advances in ecological research JF - Advances in Ecological Research N2 - 1. New patterns and trends in land use are becoming increasingly evident in Europe's heavily modified landscape and else whereas sustainable agriculture and nature restoration are developed as viable long-term alternatives to intensively farmed arable land. The success of these changes depends on how soil biodiversity and processes respond to changes in management. To improve our understanding of the community structure and ecosystem functioning of the soil biota, we analyzed abiotic variables across 200 sites, and biological variables across 170 sites in The Netherlands, one of the most intensively farmed countries. The data were derived from the Dutch Soil Quality Network (DSQN), a long-term monitoring framework designed to obtain ecological insight into soil types (STs) and ecosystem types (ETs). 2. At the outset we describe STs and biota, and we estimate the contribution of various groups to the provision of ecosystem services. We focused on interactive effects of soil properties on community patterns and ecosystem functioning using food web models. Ecologists analyze soil food webs by means of mechanistic and statistical modelling, linking network structure to energy flow and elemental dynamics commonly based on allometric scaling. 3. We also explored how predatory and metabolic processes are constrained by body size, diet and metabolic type, and how these constraints govern the interactions within and between trophic groups. In particular, we focused on how elemental fluxes determine the strengths of ecological interactions, and the resulting ecosystem services, in terms of sustenance of soil fertility. 4. We discuss data mining, food web visualizations, and an appropriate categorical way to capture subtle interrelationships within the DSQN dataset. Sampled metazoans were used to provide an overview of below-ground processes and influences of land use. Unlike most studies to date we used data from the entire size spectrum, across 15 orders of magnitude, using body size as a continuous trait crucial for understanding ecological services. 5. Multimodality in the frequency distributions of body size represents a performance filter that acts as a buffer to environmental change. Large differences in the body-size distributions across ETs and STs were evident. Most observed trends support the hypothesis that the direct influence of ecological stoichiometry on the soil biota as an independent predictor (e.g. in the form of nutrient to carbon ratios), and consequently on the allometric scaling, is more dominant than either ET or ST. This provides opportunities to develop a mechanistic and physiologically oriented model for the distribution of species' body sizes, where responses of invertebrates can be predicted. 6. Our results highlight the different roles that organisms play in a number of key ecosystem services. Such a trait-based research has unique strengths in its rigorous formulation of fundamental scaling rules, as well as in its verifiability by empirical data. Nonetheless, it still has weaknesses that remain to be addressed, like the consequences of intraspecific size variation, the high degree of omnivory, and a possibly inaccurate assignment to trophic groups. 7. Studying the extent to which nutrient levels influence multitrophic interactions and how different land-use regimes affect soil biodiversity is clearly a fruitful area for future research to develop predictive models for soil ecosystem services under different management regimes. No similar efforts have been attempted previously for soil food webs, and our dataset has the potential to test and further verify its usefulness at an unprecedented space scale. Y1 - 2011 SN - 978-0-12-374794-5 U6 - https://doi.org/10.1016/B978-0-12-374794-5.00005-5 SN - 0065-2504 VL - 44 IS - 2 SP - 277 EP - 357 PB - Elsevier CY - San Diego ER - TY - JOUR A1 - Scherber, Christoph A1 - Eisenhauer, Nico A1 - Weisser, Wolfgang W. A1 - Schmid, Bernhard A1 - Voigt, Winfried A1 - Fischer, Markus A1 - Schukze, Ernst-Detlef A1 - Roscher, Christiane A1 - Weigelt, Alexandra A1 - Allan, Eric A1 - Beßler, Holger A1 - Bonkowski, Michael A1 - Buchmann, Nina A1 - Buscot, François A1 - Clement, Lars W. A1 - Ebeling, Anne A1 - Engels, Christof A1 - Halle, Stefan A1 - Kertscher, Ilona A1 - Klein, Alexandra Maria A1 - Koller, Robert A1 - König, Stephan A1 - Kowalski, Esther A1 - Kummer, Volker A1 - Kuu, Annely A1 - Lange, Markus A1 - Lauterbach, Dirk T1 - Bottom-up effects of plant diversity on multitrophic interactions in a biodiversity experiment Y1 - 2010 UR - http://www.nature.com/nature/journal/v468/n7323/full/nature09492.html SN - 0028-0836 ER -