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

A spatial dataset about short-term land system dynamics (2005–2015) in the Mediterranean basin

Mediterranean land systems are undergoing significant changes in terms of agricultural land use and practices. The location and nature of agricultural areas in the Mediterranean basin are changing following a set of tensions and opportunities taking place both locally and in the entire basin. This dataset presents the main short-term land system dynamics (2005–2015) and their location on the whole Mediterranean basin. The dataset is based on existing land use map and available data about agricultural surface distribution, and it is obtained through a classification process of the land systems on the two analyzed data (2005 and 2015) and a subsequent change detection between the two obtained maps. It covers all the Mediterranean bioclimatic area in pixels of 2 km spatial resolution, harmonizing information from the northern and southern side of the basin. We identified different types of changes, and the most relevant in terms of surfaces are: (1) from mixed agriculture to specialized fruit groves; (2) from agricultural areas to urban and/or periurban areas; (3) from agroforestry to arable systems, and (4) from predominantly bare soils to agricultural areas. This data can be used for further analysis to assess underlying trajectories, and the impact of the observed dynamics on biodiversity and the provision of ecosystem services, as well as on the organization of the food system

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

: 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

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

The role of different types of actors in the future of sustainable agriculture in a Dutch Peri-urban area

Peri-urban areas support a broad range of multifunctional demands for public goods. In northwest Europe, peri-urban areas tend to overlap with intensive agricultural land, resulting in conflicts between agricultural use and the public good demands of residents. Sustainable intensification (SI) of agriculture might help reconcile agricultural and well-being goals, but it is unclear how the mix of actors in a peri-urban setting can trigger or restrain SI. In a Dutch case study, we explored how SI of agriculture can contribute to making peri-urban areas more sustainable, and which actors are key enabling factors for implementing SI. We used interviews, surveys, workshops, and empirical analysis to obtain insight into the stakeholder's vision of a sustainable future for the case study area, the farming system and actor network. We integrated these insights in a Bayesian Belief Network, where we linked the actor network to implementation of three SI measures (farm-level efficiency measures, small landscape elements, and direct sales), and used sensitivity analysis to model effects of support for implementation by different groups of actors. The case study has a dense stakeholder network, where, dependent on the SI measure, farmers are triggered by all actors to implement SI, or have a stronger role in uptake themselves. The sensitivity analysis suggested that the future preferred by the stakeholders requires broad support of all actors involved, with local actors without a formal role being essential for uptake. Overall, trade-offs among public goods are almost inevitable when taking up SI measures.Industrial Ecolog

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