The mental map as an instrument to define indicators in complex systems: an application on the environmental knowledge of local horticultural farmers

The reductionist and disciplinary paradigm of the Green Revolution coexists with the emerging paradigm of complexity, which values the holistic and the interdisciplinary. Agroecology promotes the need to understand the multiple biophysical relationships that exist in agroecosystems, and this calls for the development of new methodological tools. Sustainability indicators are an example of this. However, their implementation is not simple, as this requires an instrument to simplify the construction of such indicators. The objective of this work is to use the “mental map” as a guide for the development and application of indicators. The graph follows the conceptual path that facilitates the understanding of the variable and its breakdown into smaller and measurable units of analysis, i.e. the indicators. The created mental map has two stages: the development of indicators and their application. Its utility is presented in a case study that addresses local environmental knowledge (LEK). The results of this work show that complexity can be translated into quantifiable, measurable, and comparable variables, without this representing the loss of its characteristics. In addition, it proves that the created tool facilitates the evaluation and understanding of the functioning of agroecosystems, which contributes to decision-making.

The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities

Nowadays, the market competition becomes increasingly fierce due to diversified customer needs, stringent environmental requirements, and global competitors. One of the most important factors for companies to not only survive but also thrive in today’s competitive market is their logistics performance. This paper aims, through a systematic literature analysis of 115 papers from 2012 to 2020, at presenting quantitative insights and comprehensive overviews of the current and future research landscapes of sustainable logistics in the Industry 4.0 era. The results show that Industry 4.0 technologies provide opportunities for improving the economic efficiency, environmental performance, and social impact of logistics sectors. However, several challenges arise with this technological transformation, i.e., trade-offs among different sustainability indicators, unclear benefits, lifecycle environmental impact, inequity issues, and technology maturity. Thus, to better tackle the current research gaps, future suggestions are given to focus on the balance among different sustainability indicators through the entire lifecycle, human-centric technological transformation, system integration and digital twin, semi-autonomous transportation solutions, smart reverse logistics, and so forth.

Sustainable viticulture: how to evaluate and record it on a wine estate

Sustainable viticulture is being developed to meet the challenges of current societal expectations. Numerous assessment tools have emerged in recent years. The IDEA method (Indicateurs de Durabilité des Exploitations Agricoles or Farm Sustainability Indicators) is one of these assessment tools. Using the 4th version of IDEA (IDEA4), this article assesses the overall performance (level of sustainability) of a wine estate in Bordeaux in partnership with the company Ekylibre.

Developing water, energy, and food sustainability performance indicators for agricultural systems

Water use by the agricultural sector along with inefficient irrigation methods and climate change has led to the depletion and insecurity of water resources and consequent instability of the agricultural system. Defining benchmarks and comparing them is essential for sustainable system management performance. The sustainability performance of an agricultural system depends on various factors related to water, energy, and food. This study selects and ranks sustainability performance indicators (SPIs) of agricultural systems with the analytical hierarchy process (AHP). Expert opinions on agricultural sustainability were obtained from Iran’s Regional Water Organization. The factors and variables affecting the management of water resources in agricultural systems in a basin area are evaluated with 17 SPIs (10 indicators of water resources sustainability, 3 energy sustainability indicators, and 4 food sustainability indicators) that measure the sustainability of agricultural systems. The AHP reduced the number of indicators to a small number of effective indicators. Results of pairwise comparison and the subsequent determination of the weight of each indicator show that the indicators of water consumption, groundwater level stability, vulnerability of water resources, and water stress have the largest weights (i.e., importance) for agricultural system sustainability at the basin scale. These selected indicators can be applied to agricultural water systems (AWSs).

Modelling Digital Circular Economy framework in the Agricultural Sector. An Application in Southern Italy

The transition towards circular economy (CE) in agriculture requires a large amount of data in order to map the consumption of natural resources and negative externalities. This paper aims to identify a digital framework for collecting and sharing data fundamental for stakeholders with the purpose of implementing the best CE model. The methodology used is based on the guidelines of the stakeholder engagement and through a survey, and the authors have mapped the lack of data and built a set by replicable sustainability indicators. The results obtained can be used for the definition of regional policy strategies and interventions for CE model implementation.