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Soils frequently experience environmental stresses that may have transient or persistent impact on important ecosystem services, such as carbon (C) and nitrogen (N) cycling. Microbial communities underpin resistance (the ability to withstand a stress) and resilience (the ability to recover from a stress) of these functions. Whilst functional stability and resilience have been studied extensively, the link to genetic stability is missing. In this study, the resistance and resilience of C mineralization, ammonia oxidation and denitrification, their associated gene abundances (16S rRNA, bacterial amoA, nirK, nirS, nosZ-I and nosZ-II) and bacterial community structures (T-RFLP 16S rRNA) were compared in two managed soils for 28 days after stressing the soils with either a persistent (1 mg Cu soil g−1) or a transient (heat at 40 °C for 16 h) stress. The average resistance of C mineralization to Cu was 60%, which was significantly greater than the resistance of ammonia oxidation (25%) and denitrification (31%) to Cu. Similarly, the average resilience of C mineralization to Cu was 52%, which was significantly greater than the resilience of ammonia oxidation (12%) and denitrification (18%) to Cu. However, this pattern was not significant after heat stress, indicating the critical role of different stressors. Changes in total bacterial community structure rather than abundance of 16S rRNA reflected the responses of C mineralization to Cu and heat. Both Cu and heat significantly decreased functional gene abundance (amoA, nirK, nirS, nosZ-I and nosZ-II), however, a significant recovery of denitrifying gene abundance was observed after 28 days following heat. There were lack of constant relationships between functional and genetic stability, highlighting that soil physiochemical properties, the nature of the stressor, and microbial life history traits combine to confer functional resistance and resilience. Genetic responses on their own are therefore inadequate in predicating changes to soil functions following stresses.

Prod 2016-344 SPE BIOME CT? INRA

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.

The application of agricultural biosolids to land is likely to increase on farms as pressures intensify to manage nutrients and carbon, especially with regard to slurry. Although much work has been carried out in this area, it has tended to focus on specific aspects of the application-use cycle, without a coherent framework and notably the role of soil biology has been little studied in this context, or considered appropriately in the development and application of slurry management systems. In this review article we present a hypothesis that the configuration of the soil microbial community is determined by the history of long-term inputs to which the community has been subjected and that the resultant configuration determines the instantaneous responses of the associated soil to the presence of slurries, and posit a set of critical questions which would effectively test this.

The main threats to soils outlined in the pending Soil Framework Directive (SFD) are: contamination, loss of organic matter, erosion, compaction, sealing, salinization and desertification. The first four threats are pertinent to agricultural systems in Atlantic Europe, but vary in their extent between countries depending on the spatial soil distribution. Loss of soil biodiversity has not been included as a potential threat in the SFD due to lack of information that is currently available both spatially and temporally to facilitate any legislation to protect it. This paper gives emphasis to the four main threats outlined above associated with Agricultural systems in Atlantic Europe. Each soil threat is discussed in relation to the agricultural management calendar for cultivated and grazed grassland soils. The paper discusses current soil protection policies and possible changes to such legislation with the adoption of the SFD by member states.

L'interaction entre l'hétérogénéité structurale et les gradients chimiques, ainsi que leur influence sur le déplacement des nématodes, ont été étudiées. Trois dispositifs expérimentaux ont été utilisés qui comprennent un nématode (#Caenorhabditis elegans$) placé sur une couche homogène de milieu nutritif gélosé dans une boîte de Petri avec ou sans présence d'une source bactérienne de nourriture (#Escherichia coli$) utilisée comme attractif. L'hétérogénéité structurale est réalisée en ajoutant des grains de sable en une seule épaisseur dans chacun des traitements homologues. Toutes les traces ont été relevées à l'aide d'un dispositif de vidéo à séquences temporelles et les données digitalisées avant analyse. Les répartitions des angles de changement de direction et les dimensions fractales des traces sont calculées pour chaque traitement. Il se révèle un effet statistiquement significatif (P inférieur ou égal à 0,01) de tous les traitements sur le déplacement des nématodes. En présence d'un produit attractif, le déplacement du nématode est plus linéaire et dirigé vers la source bactérienne. L'hétérogénéité structurale provoque un déplacement plus linéaire que dans le cas d'un milieu homogène. La dimension fractale des traces du nématode est significativement (P inférieur ou égal à 0,01) plus élevée pour les traitements sans sable ni bactéries que pour les autres traitements. Ces résultats permettent, pour la première fois, de quantifier le degré auquel les nématodes utilisent un comportement de recherche de nourriture au hasard dans un milieu homogène et adoptent un déplacement mieux orienté en présence d'un produit attractif. Finalement, lorsqu'une hétérogénéité est présente, la stratégie de recherche de nourriture devient plutôt une stratégie d'évitement permettant au nématode d'échapper aux "pièges" structuraux, tels les pores en cul-de-sac, et de pouvoir ainsi continuer à réagir à l'attraction. (Résumé d'auteur)

L'influence de l'hétérogénéité sur la diffusion chimique et le déplacement des nématodes est étudiée par le biais d'un modèle théorique. Ce modèle prend en compte trois facteurs influant sur le déplacement des nématodes : la structure du sol, la stratégie de recherche de nourriture et la chémotaxie. Utilisant un modèle continu, nous avons mis au point un système discret permettant de simuler les traces des nématodes dans chacune des quatre situations définies par Anderson et al. (1997). Nous avons montré que l'hétérogénéité structurale provoque aussi bien des taux variables de concentrations du composé attractif dans des aires réduites que la reconnaissance de ce composé. L'hétérogénéité structurale du sol limite également la stratégie de recherche de nourriture du nématode lequel adopte alors une stratégie permettant d'éviter les pièges structuraux. Il est démontré que des augmentations localisées de la densité structurale accroissent significativement la reconnaissance du composé attractif. (Résumé d'auteur)