Contribution of agronomy to land management issues - A Comparison of five interdisciplinary PhD theses

An introductory literature review highlights the growing attention within the processes taking place at farming region and landscape scale beside the classical spatial scales at cultivated/experimental plot level. This recent evolution in agronomy finds its origin in newly emerging land management issues. Meanwhile, geography and other disciplines are stressing the need for a greater integration of multifunctional agricultural activities into the decision-making processes at the various levels of land management, such as provinces, municipalities or watersheds. This requires also that studies on farmland management include explicitly the different environmental and social contexts influencing farming activities. In this paper we aim to analyse how recent agronomic oriented research are facing and supporting various land management issues. We have compared five interdisciplinary PhD theses examining their definitions and methods of analysis for: the farming system, the local land management issues at stake, the spatial scale selected for the study, the stakeholders' involvement and the interaction with other disciplines. Common issues which emerged from this comparison are delivery of agro-environmental services, sustainable land management and landscape conservation. Multiple spatial levels were considered, which included at least one administrative unit of policy decision/implementation. Consequently, the explicit (re)definition of some agronomic concepts and methods was needed. Regarding the interdisciplinary framework, the theses have stressed the interactions among agronomy, geography and ecology. All theses aimed at delivering tools for decision-making support, mainly in the form of cartography. Nevertheless the participation of local stakeholders was generally included as a final step; herewith the settings of stakeholders' involvement were various. In conclusion, we discuss how the produced knowledge has enhanced the land management issues in local planning tools. On these bases, we stress finally the issues at stake to strengthen the roles and contributions of agronomic oriented education and research to agricultural land management and development. (Résumé d'auteur

Indicators of Agricultural intensity and intensification: a review of the literature

Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis on: i) farming systems studied; ii) related ecosystem services; iii) indicators of intensity; and iv) temporal and spatial scales of analysis. Through this two-step analysis we were able to highlight three main research gaps in the AI research indicators. Firstly, the farming systems analysed for assessing AI are often quite simplified or monoculture- oriented, and they do not take the diversity and complex organisation of farming systems into account. Secondly, these studies mainly focus on northern countries or developing countries, whereas there is a gap of knowledge in Mediterranean areas, which are the areas with a high complexity of farming systems and diversity in ecosystem services. Finally, AI is mostly assessed through nitrogen inputs and economic yield, which are used the most both at very local and global levels. Intermediate regional or local levels, which are relevant for policy implementation and local planning, are often neglected

An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries

[EN] The dataset presented in this paper is based on data gathered from several countries within the West Mediterranean area at the highest detailed scale regarding official statistics, with the aim of investigating land and food systems dynamics in the Mediterranean. Characterizing land and food systems dynamics is critical to reveal insights regarding interactions between current dynamics of agricultural practices, species diversity and local food systems. These interactions were analyzed, at multiple spatial scales, on a large part of the Mediterranean basin within the DIVERCROP Project (https://divercropblog.wordpress.com/). An harmonized dataset with the desired characteristics was not readily available from official sources and, therefore, it was necessary to build an ad hoc database that could: (1) cover the Mediterranean areas of seven countries, namely Algeria (DZ), France (FR), Italy (IT), Malta (MT), Portugal (PT), Spain (ES) and Tunisia (TN); (2) contain data referred to the most disaggregated level of administrative units for which data is available in each country; (3) contain data referred to at least two time points, including the latest available data, in each country; (4) contain data on number of farm holdings, on the physical areas covered by the main annual and permanent crops and on livestock (number of heads); (5) contain a primary key that allows joining the census and surveys database to a geographical dataset of administrative units covering the entire area; (6) have an associated complete geographical dataset of administrative units, to allow spatial data analyses.DIVERCROP is funded through the ARIMNet2 2016 Call by the following funding agencies: ANR, IRESA (Tunisia), INIA (Spain), FCT (Portugal), ATRSNV (Algeria), MiPAAF (Italy) and MCST. ARIMNet2 (ERA-NET) has received funding from the European Union s Seventh Framework Programme for research, technological development and demonstration under grant agreement n 618127. Special thanks to all of the local partners of the DIVERCROP project for collaborating on data collection, discussing the method and validating the results.Villani, R.; Sabbatini, T.; Moreno-Pérez, OM.; Guiomar, N.; Debolini, M. (2019). An open dataset about georeferenced harmonized national agricultural censuses and surveys of seven mediterranean countries. Data in Brief. 27:1-8. https://doi.org/10.1016/j.dib.2019.104774S182

Mediterranean land system dynamics and their underlying drivers: Stakeholder perception from multiple case studies

• Land system dynamics from seven Mediterranean case studies are discussed. • Despite the diversity of contexts captured, transversal patterns were found. • Data shows disconnection between expected and desired futures. • Territorial actors can identify opportunities and actions towards desired futures. • Embedding actors within dynamics enables to frame local actions as drivers of change

: Recueil de fiches pédagogiques du réseau MAPS

DoctoralLe réseau thématique MAPS «Modélisation multi-Agent appliquée aux Phénomènes Spatialisés » propose depuis 2009 des évènements scientifiques ayant pour but de diffuser les pratiques de modélisations multi-agents au sein des Sciences de l’Homme et de la Société (SHS). Ce collectif pluridisciplinaire de chercheurs, d’enseignants-chercheurs et de doctorants est labellisé en tant que ≪ réseau thématique » par le Réseau National des Systèmes Complexes (GIS RNSC) et bénéficie du soutien du CNRS au titre de la Formation Permanente. Depuis 2009, plusieurs modèles ont été développés au cours d'événements MAPS. Ces modèles ont fait l'objet de fiches pédagogiques détaillées destinées aux communautés éducatives et universitaires et en particulier aux enseignants qui souhaiteraient faire découvrir la modélisation à leurs étudiants, mais aussi à ceux qui envisagent d’approfondir certains aspects avec un public plus averti. Elles sont également destinées à tous les curieux qui souhaiteraient découvrir ce que la modélisation apporte aux SHS, du point de vue heuristique et du point de vue opérationnel. Enfin, elles sont aussi des supports pour toutes les personnes qui souhaiteraient diffuser les réflexions scientifiques sur la modélisation et la simulation qui ont présidé à la rédaction de ces fiches

Conceptualising fields of action for sustainable intensification A systematic literature review and application to regional case studies

[EN] After two decades of research on sustainable intensification (SI), namely securing food production on less environmental cost, heterogeneous understandings and perspectives prevail in a broad and partly fragmented scientific literature. Structuring and consolidating contributions to provide practice-oriented guidelines are lacking. The objectives of this study are to (1) comprehensively explore the academic SI literature, (2) propose an implementation-oriented conceptual framework, and (3) demonstrate its applicability for region-specific problem settings. In a systematic literature review of 349 papers covering the international literature of 20 years of SI research, we identified SI practices and analysed temporal, spatial and disciplinary trends and foci. Based on key SI practices, a conceptual framework was developed differentiating four fields of action from farm to regional and landscape scale and from land use to structural optimisation. Its applicability to derive region specific SI solutions was successfully tested through stakeholder processes in four European case studies. Disciplinary boundaries and the separation of the temporal and spatial strands in the literature prevent a holistic address of SI. This leads to the dominance of research describing SI practices in isolation, mainly on the farm scale. Coordinated actions on the regional scale and the coupling of multiple practices are comparatively un-derrepresented. Results from the case studies demonstrate that implementation is extremely context-sensitive and thus crucially depends on the situational knowledge of farmers and stakeholders. Although, there is no 'one size fits all' solution, practitioners in all regions identified the need for integrated solutions and common action to implement suitable SI strategies at the regional landscape level and in local ecosystems.This research was financially supported by the European Commission under grant agreement 652615 and conducted in the context of the ERA-Net FACCE SURPLUS project VITAL, with the national funders NWO (Netherlands), BMBF (Germany), INIA (Spain), ANR (France).Weltin, M.; Zasada, I.; Piorr, A.; Debolini, M.; Geniaux, G.; Moreno-Pérez, OM.; Scherer, L.... (2018). Conceptualising fields of action for sustainable intensification A systematic literature review and application to regional case studies. Agriculture Ecosystems & Environment. 257:68-80. https://doi.org/10.1016/j.agee.2018.01.023S688025

Off-label long acting injectable antipsychotics in real-world clinical practice: a cross-sectional analysis of prescriptive patterns from the STAR Network DEPOT study

Introduction Information on the off-label use of Long-Acting Injectable (LAI) antipsychotics in the real world is lacking. In this study, we aimed to identify the sociodemographic and clinical features of patients treated with on- vs off-label LAIs and predictors of off-label First- or Second-Generation Antipsychotic (FGA vs. SGA) LAI choice in everyday clinical practice. Method In a naturalistic national cohort of 449 patients who initiated LAI treatment in the STAR Network Depot Study, two groups were identified based on off- or on-label prescriptions. A multivariate logistic regression analysis was used to test several clinically relevant variables and identify those associated with the choice of FGA vs SGA prescription in the off-label group. Results SGA LAIs were more commonly prescribed in everyday practice, without significant differences in their on- and off-label use. Approximately 1 in 4 patients received an off-label prescription. In the off-label group, the most frequent diagnoses were bipolar disorder (67.5%) or any personality disorder (23.7%). FGA vs SGA LAI choice was significantly associated with BPRS thought disorder (OR = 1.22, CI95% 1.04 to 1.43, p = 0.015) and hostility/suspiciousness (OR = 0.83, CI95% 0.71 to 0.97, p = 0.017) dimensions. The likelihood of receiving an SGA LAI grew steadily with the increase of the BPRS thought disturbance score. Conversely, a preference towards prescribing an FGA was observed with higher scores at the BPRS hostility/suspiciousness subscale. Conclusion Our study is the first to identify predictors of FGA vs SGA choice in patients treated with off-label LAI antipsychotics. Demographic characteristics, i.e. age, sex, and substance/alcohol use co-morbidities did not appear to influence the choice towards FGAs or SGAs. Despite a lack of evidence, clinicians tend to favour FGA over SGA LAIs in bipolar or personality disorder patients with relevant hostility. Further research is needed to evaluate treatment adherence and clinical effectiveness of these prescriptive patterns

The Role of Attitudes Toward Medication and Treatment Adherence in the Clinical Response to LAIs: Findings From the STAR Network Depot Study

Background: Long-acting injectable (LAI) antipsychotics are efficacious in managing psychotic symptoms in people affected by severe mental disorders, such as schizophrenia and bipolar disorder. The present study aimed to investigate whether attitude toward treatment and treatment adherence represent predictors of symptoms changes over time. Methods: The STAR Network \u201cDepot Study\u201d was a naturalistic, multicenter, observational, prospective study that enrolled people initiating a LAI without restrictions on diagnosis, clinical severity or setting. Participants from 32 Italian centers were assessed at three time points: baseline, 6-month, and 12-month follow-up. Psychopathological symptoms, attitude toward medication and treatment adherence were measured using the Brief Psychiatric Rating Scale (BPRS), the Drug Attitude Inventory (DAI-10) and the Kemp's 7-point scale, respectively. Linear mixed-effects models were used to evaluate whether attitude toward medication and treatment adherence independently predicted symptoms changes over time. Analyses were conducted on the overall sample and then stratified according to the baseline severity (BPRS < 41 or BPRS 65 41). Results: We included 461 participants of which 276 were males. The majority of participants had received a primary diagnosis of a schizophrenia spectrum disorder (71.80%) and initiated a treatment with a second-generation LAI (69.63%). BPRS, DAI-10, and Kemp's scale scores improved over time. Six linear regressions\u2014conducted considering the outcome and predictors at baseline, 6-month, and 12-month follow-up independently\u2014showed that both DAI-10 and Kemp's scale negatively associated with BPRS scores at the three considered time points. Linear mixed-effects models conducted on the overall sample did not show any significant association between attitude toward medication or treatment adherence and changes in psychiatric symptoms over time. However, after stratification according to baseline severity, we found that both DAI-10 and Kemp's scale negatively predicted changes in BPRS scores at 12-month follow-up regardless of baseline severity. The association at 6-month follow-up was confirmed only in the group with moderate or severe symptoms at baseline. Conclusion: Our findings corroborate the importance of improving the quality of relationship between clinicians and patients. Shared decision making and thorough discussions about benefits and side effects may improve the outcome in patients with severe mental disorders