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Abstract: Molecular techniques offer an alternative to time-consuming traditional methods of faunal identification based on morphology. The first stage in developing a molecular technique is to have a robust method to extract DNA. Here methods are assessed using nematodes as a model faunal group. A traditional DNA extraction, with proteinase K digestion followed by phenol chloroform extraction; sodium hydroxide extraction; and physical disruption, followed by utilisation of one of four proprietary PCR purification kits were tested for nematode DNA extraction. Nematode communities were isolated from a range of habitats (arable agriculture, sand dune, coniferous forest, permanent pasture and moorland). Template DNA concentration was measured and PCR-amplification performed to test the suitability of the extracts for downstream molecular applications. DNA extraction with phenol chloroform purification consistently yielded high-quality template DNA as did the DNA extraction followed by the Purelink PCR purification kit. T-RFLP based on a single enzyme digest was sufficient to discriminate between nematode communities extracted from all five habitats. In addition, T-RFLP demonstrated that there was little difference in perceived nematode community composition following amplification of DNA extract purified through either the Qiaquick or Purelink kits. Physical disruption of tissue followed by purification through a kit provides a rapid, reliable and relatively inexpensive method of DNA extraction, yielding high-quality template. We suggest that kit suitability should be tested for each habitat under investigation as there may be a limited bias between kits for the community DNA extracted. Application of high-throughput molecular techniques to soil microfauna increases their potential to be used as indicators in routine monitoring of soil health. [Copyright &y& Elsevier]

Summary: The interactions of genetically modified (GM) crops with soil species and ecosystems is complex, requiring both specific and broad spectrum assessments. In the ECOGEN project we undertook experiments at three scales of increasing complexity, using Bt maize expressing the Cry1Ab protein from Bacillus thuringiensis as an example. Test species were selected for laboratory-scale experiments to represent taxonomic groups that we could also monitor at glasshouse and field scales (e.g., nematodes, protozoa, micro-arthropods, earthworms, and snails). In the laboratory, single species were exposed to purified Cry1Ab protein or to Bt maize leaf powder incorporated into simplified diets under controlled conditions. In the glasshouse, multiple test species and soil microbial communities taken from ECOGEN''s field sites were exposed to Bt maize plants growing under glasshouse or mesocosm conditions. In the field, evaluations were conducted on our selected indicator groups over multiple sites and growing seasons. Field evaluation included assessment of effects due to the local environment, crop type, seasonal variation and conventional crop management practice (tillage and pesticide use), which cannot be assessed in the glasshouse. No direct effects of Cry1Ab protein or Bt leaf residues were detected on our laboratory test organisms, but some significant effects were detected in the glasshouse. Total nematode and protozoan numbers increased in field soil under Bt maize relative to conventional maize, whilst microbial community structure and activity were unaffected. Field results for the abundance of nematodes and protozoa showed some negative effects of Bt maize, thus contradicting the glasshouse results. However, these negative results were specific to particular field sites and sampling times and therefore were transient. Taking the overall variation found in maize ecosystems at different sites into account, any negative effects of Bt maize at field scale were judged to be indirect and no greater than the impacts of crop type, tillage and pesticide use. Although the ECOGEN results were not predictive between the three experimental scales, we propose that they have value when used with feedback loops between the scales. This holistic approach can used to address questions raised by results from any level of experimentation and also for putting GM crop risk:benefit into context with current agricultural practices in regionally differing agro-ecosystems. [Copyright &y& Elsevier]

The need for sustainable intensification of agricultural production has ushered in a growing awareness of soil health and a requirement to identify with some certainty how changes to land management will affect soil. From an agricultural perspective, the active management of soil health needs to balance the production of a healthy and profitable crop with environmental protection and improvement. However, the extreme spatial and temporal heterogeneity of soils, and the complexity of biological, physical and chemical interactions therein, makes predicting management effects on soil health challenging. Although the general principles underlying effects on soil health are well understood, they still need interpretation in a local context and the inclusion of site‐specific details. Approaches from landscape ecology provide a potential framework to integrate consideration of the structural (pools, patterns), dynamic and functional (processes, flows) aspects of the soil system. These approaches allow the crucial transition from a "descriptive and general" understanding toward a "detailed and site‐specific" prediction to be made. Using this conceptual framework, we have taken knowledge of the effects of fixed site factors (soil type and climatic zone), cropping systems and farm management practices on a range of soil physical, chemical and biological parameters for UK lowland agricultural systems, and have developed a predictive framework that shows semi‐quantitatively the effects of typical management choices on soil health and crop yield. [ABSTRACT FROM AUTHOR]

The ecological interactions that occur in and with soil are of consequence in many ecosystems on the planet. These interactions provide numerous essential ecosystem services, and the sustainable management of soils has attracted increasing scientific and public attention. Although soil ecology emerged as an independent field of research many decades ago, and we have gained important insights into the functioning of soils, there still are fundamental aspects that need to be better understood to ensure that the ecosystem services that soils provide are not lost and that soils can be used in a sustainable way. In this perspectives paper, we highlight some of the major knowledge gaps that should be prioritized in soil ecological research. These research priorities were compiled based on an online survey of 32 editors of Pedobiologia – Journal of Soil Ecology. These editors work at universities and research centers in Europe, North America, Asia, and Australia. The questions were categorized into four themes: (1) soil biodiversity and biogeography, (2) interactions and the functioning of ecosystems, (3) global change and soil management, and (4) new directions. The respondents identified priorities that may be achievable in the near future, as well as several that are currently achievable but remain open. While some of the identified barriers to progress were technological in nature, many respondents cited a need for substantial leadership and goodwill among members of the soil ecology research community, including the need for multi-institutional partnerships, and had substantial concerns regarding the loss of taxonomic expertise. [ABSTRACT FROM AUTHOR]

Abstract: The commercial cultivation of genetically modified (GM) crops in the European Union (EU) necessitates, according to EU legislation, the setting up of a General Surveillance (GS) system that should be able to detect unanticipated effects of GM crops on the environment. Although the applicant is responsible for setting up GS as well as for reporting the results, EU Member States may implement additional supporting surveillance programmes. Devising a GS system to detect unanticipated effects is not straightforward and requires clearly defined protection goals, suitable indicators that are linked to measurable parameters and an objective system for assessing the data. This paper describes a number of recommendations for the development of a General Surveillance system of the soil ecosystem specifically focussed on the situation in the Netherlands. The overarching protection goal of General Surveillance is ‘soil quality’, which is translated into more practical terms of ecosystem services that are relevant for soil quality, and that can be used to select measurable parameters and thus make a link with actual measurements. Ultimately, if and when effects on ecosystem services are detected, decision makers will have to decide whether these effects are acceptable or not. As a support for these decision-making processes, this paper discusses the modalities for the development of a stakeholder participation model. The model involves three groups of persons: the land users, the soil scientists and the decision makers. For reasons of cost effectiveness, a GS system of the soil ecosystem will have to make use of existing networks. The Dutch Soil Quality Network (DSQN) offers an existing infrastructure for soil sampling for GS. Finally, the GS system may be extended to contain data from the Dutch Ecological Monitoring Network, earth observation systems as well as other data resources such as farmers questionnaires or reports form organisations involved in nature conservation. Ideally these data are compiled by a Central Reporting Office (CRO) and maintained in a Geographic Information System (GIS) based database. [Copyright &y& Elsevier]

One of the greatest challenges in soil ecology is to disentangle the plant-mediated bottom-up factors regulating soil biodiversity and community composition. The soil food web, fundamentally driving nearly all ecosystem functions, is controlled by the quantity and quality of root-mediated resources. Here, a trait-based approach was adopted to explore the divergence of soil nematode functional guilds and their connections to root traits belonging to distinct plant resource-use strategies. Root traits and rhizosphere nematode functional guilds were measured on four plant species in an ex-arable field. Results showed that plant species exhibiting acquisitive strategies promoted nematode abundance in contrast to species with conservative strategies. Further, the results also supported that plant resource-use strategies could regulate nematode life strategies in a bottom-up manner. However, lower proportions of opportunist nematodes in rhizosphere were found in acquisitive plants rather than conservative plants, mainly attributed to the stronger top-down regulation as a dominant control within the former than the later ones. Structure equation modeling revealed that root length density could primarily modulate nematode abundance and functional guilds mainly through changes in nitrogen availability of rhizosphere, as indicated by mineral N and enzymatic stoichiometry. Overall, our findings extend the conceptual framework based on a trait-centred view spanning plants to the soil food web, and this knowledge is critical to understand the mechanisms of ecosystem process. • Acquisitive plants promoted nematode abundance and K-strategist nematodes. • Conservative plants supported mainly r-strategist nematodes. • Root length density was the key root trait for regulating soil nematodes. [ABSTRACT FROM AUTHOR]