ALBERT

Description: Agricultural intensification and soil mismanagement have been recognized among the main causes of soil erosion in Mediterranean climate areas such as the Arbia stream basin (Tuscany, Italy). This study aims at predicting soil loss from agricultural fields as it is essential for providing reliable information for prioritizing soil conservation measures. Thus, measured soil loss from 243 agricultural fields within the Arbia stream basin during the period 2007–2010 were used to calibrate and validate the ArcSWAT 2012 model at hydrological response units (HRU) scale. Analysis of variance with post-hoc Tukey honest significant test was used to assess significant measured soil loss differences between slope steepness classes and land covers. Soil loss estimation was always “very good” for irrigated field crops, olive groves, and vineyards, “good” for unirrigated field crops, and “unsatisfactory” for broad-leaved forest. The model succeeded in the quantitative assessment of erosive processes at HRU scales. Its application to the whole Arbia stream basin estimated that 31% of the total surface is subjected to higher erosion levels. This approach might help facilitate the identification of priority areas that need the implementation of conservation measures.

Description: Proximal optical sensors (POSs) are effective devices for monitoring the development of crops and the nitrogen (N) status of plants. POSs are both useful and necessary in facilitating the reduction of N losses into the environment and in attaining higher nitrogen use efficiency (NUE). To date, no comparison of these instruments has been made on quinoa. A field experiment conducted in Tuscany, Italy, with different POSs, has assessed the development of quinoa with respect to N status. Three sets of POSs were used (SPAD-502, GreenSeeker, and Canopeo App.) to monitor quinoa development and growth under different types of fertilizers (digestate and urea) and levels of N fertilization (100, 50, and 0 kg N ha−1). The present findings showed that in-season predictions of crop biomass at harvest by SPAD-502 and GreenSeeker optical sensors were successful in terms of the coefficient of determination (R2 = 0.68 and 0.82, respectively) and statistical significance (p 〈 0.05), while the Canopeo App. was suitable for monitoring the plant´s canopy expansion and senescence. The relative error (RE%) showed a remarkably high performance between observed and predicted values, 5.80% and 4.12% for GreenSeeker and SPAD-502, respectively. Overall, the POSs were effective devices for monitoring quinoa development during the growing season and for predicting dry biomass at harvest. However, abiotic stresses (e.g., heat-stress conditions at flowering) were shown to reduce POSs’ accuracy when estimating seed yields at harvest, and this problem will likely be overcome by advancing the sowing date.

Description: The Sahel region is considered a hotspot for climate change hazards and vulnerability of weather reliant sectors, including agriculture. Farmers in Burkina Faso have a long history of adapting their farming activities to frequent changes in climate. Using 150 in-person surveys, this study assesses farmers’ perceptions of climate change based on multiple climate variables, and reviews adaptation practices, including soil and water conservation strategies, in the Soudanian, Soudano-Sahelian, and Sahelian agroclimatic zones of Burkina Faso. In general, farmers are aware of changing climatic conditions, including increased temperatures, greater rainfall variability, heavier precipitation events, delayed onset, and premature offset of the rainy season. However, farmers perceive shifts in climate differently depending on their location and agroclimatic zone. As a result, different adaption strategies are implemented by farmers according to the climatic, societal, and economic context. Survey results show that in the Sahel, climate adaptation strategies rely on traditional knowledge and experimental approaches; whereas in the Soudanian zone, where weather conditions are more favorable for agriculture, adaptation practices are market oriented. These regional differences are important for targeting advisory services, planning processes, and decision-making to support the effective provision of weather and climate information services to the last mile.

Description: A preliminary study was conducted to analyze the sustainability of barley production through: (i) investigating sensor-based nitrogen (N) application on barley performance, compared with conventional N management (CT); (ii) assessing the potential of the Normalized Difference Vegetation Index (NDVI) at different growth stages for within-season predictions of crop parameters; and (iii) evaluating sensor-based fertilization benefits in the form of greenhouse gasses mitigation. Barley was grown under CT, sensor-based management (RF) and with no N fertilization (Control). NDVI measurements and RF fertilization were performed using a GreenSeeker™ 505 hand-held optical sensor. Gas emissions were measured using a static chamber method with a portable gas analyzer. Results showed that barley yield was not statistically different under RF and CF, while they both differed significantly from Control. Highly significant positive correlations were observed between NDVI and production parameters at harvesting from the middle of stem elongation to the medium milk stage across treatments. Our findings suggest that RF is able to decrease CO2 emission in comparison with CF. The relationship between N fertilization and CH4 emission showed high variability. These preliminary results provide an indication of the benefits achieved using a simple proximal sensing methodology to support N fertilization.

Description: It is essential to investigate to which extent and how specifically soil–plant–microbe interactions can be conditioned by different agricultural practices. Legumes such as Vicia faba is one of the essential functional group in intercropping and crop rotations due to its higher N fixing capacity. Hence, it is important to study the living microbial community of this legume. Further, it is also expected that fluctuations in soil microbial diversity and composition could be complemented by plant phenological stages and different fertilizer amendments. Thus, we investigated bacterial community composition in soil treated with phosphate-based inorganic and organic fertilizers, in the presence of Vicia faba plants at flowering and fruiting time using NGS 16S rRNA gene amplicon sequencing. Further, the evaluation of plant biomass parameters under different fertilizer treatments was also carried out. The presence of the Vicia faba plant increased the abundance of N fixing bacterial such as Bardyrhizobium, Microvirga (Rhizobiales), Arthrobacter, and Psuedoarthrobacter (Actinomycetales) in soil. Fluctuation in composition and diversity of bacterial community was further supplemented by plant phenological stages. These alterations could be due to changes that occurred in the plant nutrient requirement and varied root exudation patterns at a specific phenological stage. Further, fertilizer treatments also have a profound effect on the diversity and structure of the bacterial community. Organic fertilizers, especially vegetable tanned leather waste (VTLW), have a stronger effect on the composition and diversity of bacterial community compared to inorganic fertilizer (PT—triple superphosphate). Alpha-diversity was significantly decreased by both organic and inorganic amendments, especially a species evenness because each fertilizer tends to stimulate the growth of distinctive microbes that dominated the community of amended soil. Proteobacteria, Actinobacteria, and Cyanobacteria were the most abundant phyla, and Chelatococcus, Cyanobacteria, Sphingomonas, and Microvirga were a most abundant genus that contributed most in co-occurrence pattern, which suggests that these generalists are adapted to a variety of environments. These indicate that plant presence was a key, dominating factor, followed by fertilizers and time, in affecting soil bacterial diversity and composition. Plant recruits system (fertilization and time) -specific taxa due to differences in available nutrients and energy sources among different treatments during different growth stages. Further, fertilizer treatments did not have a stronger effect on plant production as compared to the effect on microbial community, which highlights that organic fertilizers did not tend to increase plant production. Thus, organic and inorganic amendments with matched macronutrients could have a similar impact on crop yields.

Description: Outdoor workers are particularly exposed to climate conditions, and in particular, the increase of environmental temperature directly affects their health and productivity. For these reasons, in recent years, heat-health warning systems have been developed for workers generally using heat stress indicators obtained by the combination of meteorological parameters to describe the thermal stress induced by the outdoor environment on the human body. There are several studies on the verification of the parameters predicted by meteorological models, but very few relating to the validation of heat stress indicators. This study aims to verify the performance of two limited area models, with different spatial resolution, potentially applicable in the occupational heat health warning system developed within the WORKLIMATE project for the Italian territory. A comparison between the Wet Bulb Globe Temperature predicted by the models and that obtained by data from 28 weather stations was carried out over about three summer seasons in different daily time slots, using the most common skill of performance. The two meteorological models were overall comparable for much of the Italian explored territory, while major limits have emerged in areas with complex topography. This study demonstrated the applicability of limited area models in occupational heat health warning systems.