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Soil erosion by water has been identified as one of the major threats that affect European agricultural soils. Olive groves and vineyards are often situated on steep hill slopes in areas where the annual rainfall is low but subject to high intensity rainstorms. Measured data showed that in the Mediterranean region the highest runoff rates are related to tree crops and vineyard land use. Some of the highest rates of soil erosion in the Mediterranean region have been found in olive groves and vineyards on sloping land, where soil is tilled to maintain a bare soil surface to save water for the crops (Cerdan et al., 2010). Analysis with simulation models is a way to evaluate the impact of changes in soil management on soil erosion risk under contrasting situations, and the Revised Universal Soil Loss Equation (RUSLE) remains as the most widely used. Despite its relative simplicity, a proper calibration for a given situation can be challenging, especially in situations outside of those widely covered in the USA. To overcome this problem some authors have proposed simplified procedures, such as the summary model proposed by Gómez et al. (2003) for use of RUSLE in olives, the determination of USLE C factors from cumulative field measurement soil erosion in vineyards (e.g. Novara et al., 2011) or calibration of the parameters required to determine the USLE C factor (Auerswald and Schwab, 1999).

Il suolo è, in generale, lo strato più superficiale della crosta terrestre, costituito da componenti minerali, organici, acqua, aria e organismi viventi. Rappresenta l'interfaccia tra terra, aria e acqua e ospita gran parte della biosfera. Il suolo si forma in tempi molto lunghi, per cui è ritenuta sostanzialmente una risorsa non rinnovabile. Tale risorsa naturale fornisce cibo, biomassa e materie prime; funge da piattaforma per lo svolgimento delle attività umane; è un elemento del paesaggio e del patrimonio culturale e svolge un ruolo fondamentale come habitat e pool genico. Nel suolo vengono stoccate, filtrate e trasformate molte sostanze, tra le quali l'acqua, i nutrienti e il carbonio: in effetti, con le 1 500 gigatonnellate di carbonio che immagazzina, è il principale deposito del pianeta. Per l'importanza che rivestono sotto il profilo socioeconomico e ambientale, tutte queste funzioni devono pertanto essere tutelate. Data l'importanza del suolo e la necessità di evitarne l'ulteriore degrado, il sesto programma d'azione per l'ambiente (1600/2002/CE del Parlamento europeo e del Consiglio) ha previsto che venisse formulata una strategia tematica per la protezione del suolo. Nell'ambito della "Strategia tematica per la protezione del suolo" (COM(2006)231), la Commissione delle Comunità Europee ha individuato le otto maggiori "minacce" relative al degrado dei suoli: l'erosione, la diminuzione di materia organica, la contaminazione locale o diffusa, l'impermeabilizzazione (sealing), la compattazione, il calo della biodiversità, la salinizzazione, le alluvioni e gli smottamenti. Combinati, tutti questi rischi possono alla fine determinare condizioni climatiche aride o subaride che possono portare alla desertificazione.

Runoff and soil losses caused by natural rainfall events were monitored over a 12-year period in an experimental vineyard located in Alto Monferrato, a vine-growing area of Piedmont (NW Italy). The measurements were carried out on three plots, each of which was managed with a different inter-row soil management practice: conventional tillage (CT), reduced tillage (RT) and controlled grass cover (GC), respectively. The annual average runoff coefficients were 17.4 % in CT and 15.3 % in RT, while in the GC plot it was limited to 10.3 %. The highest soil losses were observed for the tilled plots, with average yearly erosion rates of 10.4 and 24.8 Mg ha-1year-1 in the CT and RT plots. Only 2.3 Mg ha-1year-1 were recorded for GC treatment. The protective role of grass cover will be more and more relevant, taking in account climate changes that predict increase in rainfall intensity and erosivity. The evaluation of the effect of different conservation measures on the runoff and soil erosion, in relation with future climate scenarios, would be a useful to support soil management decisions in vineyards.

The agricultural management techniques and mechanization adopted in sloping areas under temperate and sub-continental climate can affect the physical and hydrological characteristics of the soil with an increase of the soil erosion rates. Vineyards have been reported among the land uses most prone to erosion. Agricultural operations can be conducted to enhance the soil conservation, it is therefore important to know the site-specific characteristics and conditions of adopted practices. A long-term monitoring to evaluate the influence of management systems in hilly vineyard on erosion and runoff and soil properties has been carried out in the north-western Italy since 2000 properties has been carried out in the north-western Italy since 2000. Three different inter-rows tillage systems were compared: conventional tillage (CT), reduced tillage (RT) and controlled grass cover (GC). To record the rainfall amount and duration, an agrometeorological station was located near experimental plots. The three plots are hydraulically isolated, thus runoff and sediment have been collected at the bottom by a drain, connected with a tipping bucket device to measure the discharge of runoff. The system was implemented with electromagnetic counters that allow the automatic accounting with data capture by a control unit, powered by a photovoltaic panel and transmitted to a data collection center for remote viewing via web page. A portion of the runoff-sediment mixture was usually sampled and analyzed for soil and nutrients losses. In order to analyze with more detail the erosion process by means of predictive models, a micro-plot system was placed in the experimental site in 2012. Splash cups have been installed in each plot since 2011 to evaluate how the soil management affects the in-field splash erosion process. Rapid measurement of soil moisture content and temperature were performed starting from August 2011 to allow continuous monitoring of parameters that can provide an evaluation of space-time hydrological processes, determining the surface runoff response to a given precipitation events. Electromagnetic sensors were installed in the topsoil and measures were recorded in one-hour intervals by a data collection device. Some physical and hydrological properties were considered to provide information on the degree of soil compaction and its influence on soil status. The parameters analyzed are bulk density by core method and soil compaction by static and dynamic recording penetrometers. Since autumn 2011 the reduced tillage management was replaced with conventional tillage with a grass strip in the bottom of each inter-row (CTS). At the same time the grass cover of the GC plot was renewed after execution of tillage operation. Recurring measurements of the soil water content up to a depth of 60 cm and hydraulic conductivity tests with the Simplified Falling Head Technique (SFH) have been started in 2012, to observe the spatial and temporal variability of hydraulic behavior in the experimental plots.

In mountain regions worldwide, rainfall-induced landslides and associated debris flows erode slopes, scour channels, and contribute to the formation of alluvial fans that may harm humans and destroy buildings. Rainfall-induced slope failures are frequent and widespread in Italy, where individual rainfall events can result in single or multiple slope failures in small areas or in very large regions. Most of the harmful failures were rainfall-induced, and several were shallow slides or debris flows. In the 60-year period 1950-2009, casualties due to landslides were at least 6,349, an average of 16 harmful events per annum. The large number of harmful events indicates the considerable risk posed by rainfall-induced shallow landslides and debris flows to the population of Italy (Guzzetti et al. 2005a; Salvati et al. 2010). In this work, we exploit information on rainfall events that have resulted in shallow failures and debris flows to define regional thresholds for the possible occurrence of rainfall-induced shallow landslides and debris flows in three regions in northern, central, and southern Italy. Following a review of methods for establishing the dependence of landslide occurrence on rainfallmeasurements,we illustrate three catalogues of rainfall events that have resulted in slope failures in the Abruzzo, Calabria and Lombardy regions. Next, we present the method used for the definition of objective rainfall thresholds, and we apply the method to the available catalogues to determine new intensity-duration (ID) thresholds for possible occurrence of shallow landslides and debris flows in the three regions.We conclude by comparing the new thresholds to similar empirical thresholds proposed for possible landslide initiation in Italy.

In sloping vineyard soil is subjected to a series of degradation processes, among which compaction caused by tillage operation and vehicular traffic, that can influence soil physical and hydrological properties with effects on crop production and quality of environment (Lagacherie et al., 2006). Considering the significance of these impacts, soil compaction has been recognized as one of the threats related to land degradation identified by the European Soil Framework Directive (2006). The aim of the study was to assess the influence of soil management on compaction in hillside vineyard surface, in a long period of monitoring. The experimental trial has been conducted since 2004 and data of penetration resistance (PR) and bulk density (DB) have been collected from three plots of a Barbera vines with rows along the slope. Soil PR was measured by means of a recording penetrometer (Walczak et al., 1973) and BD by core method (Blake and Hartge, 1986). Changes in soil structure due to compaction by tractor traffic and different inter-row tillage (conventional tillage vs. reduced tillage vs. grass cover), analyzing spring and autumn sampling, are reflected in cone index (CI) of penetrometer and BD trend. Cone index was significantly higher with grass cover and reduced tillage than conventional tillage, with the opposite trend for BD where the grass cover appeared to have suffered to a lesser extent the effects of compaction due to vehicle traffic. In general CI was higher in the tractor tracks than in the middle, and showed lower values during the spring following the recovery of soil compaction occurred after winter precipitation.

Runoff and soil losses caused by natural rainfall events were monitored through a 10-years period of observation in three vineyard experimental plots, located in Alto Monferrato, a vine-growing area of Piedmont, NW Italy. The plots are characterized by slope of about 15% and clay soil . Different soil managing practices were adopted in inter-rows of each plot, i.e. controlled grass cover (GC), conventional tillage (CT) and reduced tillage (RT). The rainfall characteristics, runoff discharge, concentration in the water of soil and nutrients were measured. More than 150 rainfall events produced runoff, 63 resulted to be erosive and 55 events recorded losses of nutrients. The data set was elaborated to investigate relationships among runoff, soil and nutrient losses, with rainfall amount, intensity and kinetic energy. The amounts of water, soil and nutrients that run away from the vineyard resulted to be differently related to the season, rainfall characteristics, soil surface conditions. Each year, few rainfall events were responsible of most of the annual soil erosion. The collected data showed that the soil management practices have strongly affected runoff and soil losses. Particularly, considering the soil losses and the vine production, the reduced tillage has proved to be the worst practice for managing the inter-rows. Conversely, the grass cover has a relevant role in reducing water (up to 36%) and soil losses (up to 88%) , mainly during summer events characterized by high rainfall intensities. The protective effect of grass cover was also noted in the reduction of nitrogen losses, about 60%.

The IMAMOTER-CNR monitored a 10-years period of soil erosion in vineyards of the Piedmont Experimental Vine and Wine Centre, in the Alto Monferrato area (NW Italy). To support and continue the monitoring period, this study applies a spatially-distributed soil erosion model in three vineyard areas characterized by different inter-rows practices, i.e. controlled grass cover (GC), conventional tillage (CT) and reduced tillage (RT). For that purpose, we implemented the Modified MMF model as module for the FOSS GIS SAGA. In order to improve model performance, our implementation of this model includes i) the use of a channel network layer, by which the sediment and runoff are concentrated, ii) the use of a multiple flow direction algorithm for sediment and runoff routing, and iii) a time-span parameter which indicates the number of simulation days. In total, 63 runoff and sediment measurements of single or accumulative rainfall events were used during model evaluation. After preprocessing the input data, the model was calibrated separately for spring, summer and autumn season based on the channel network density which in fact follows the tractor paths. Evaluation of model performance was carried out by using the effectiveness coefficient introduced by Nearing. The results show that the differences between measured and predicted soil erosion are in an acceptable range and imply that the Modified MMF model is not only effective as a monitoring tool but can also be used for simulating different conservation scenarios in order to reduce the soil erosion problem in vineyards.

Soil conservation is particularly important in hilly agricultural areas, where management techniques and mechanization can affect the physical and hydrological characteristics of the soil, resulting in an high risk of erosion (Tropeano, 1983). Soil moisture content and temperature are key-factors in determining the surface runoff response to a given precipitation events (Fitzjohn et al., 1998; Ramos & Martínez-Casasnovas, 2007), and rapid measurements by means of sensor-readings allow a more detailed evaluation of space-time hydrological processes. The experimental site is located in the "Alto Monferrato" vine-growing region of Piedmont (N-W Italy), at 290 m asl. The climate is temperate, with a mean annual temperature of 13°C and an average annual precipitation of 850 mm, mainly concentrated in spring and autumn. The hillside vineyard is composed of three 1221 m2 plots accommodated along the slope, with different inter-row soil cultivation techniques: conventional tillage (P1), reduced tillage (P2) and controlled grass cover (P3). The rainfall and runoff amounts were recorded during the period August 2011-November 2011. To allow continuous monitoring of soil moisture and temperature parameters, electromagnetic sensors were installed at 9 cm depth in two locations on each plot, both in the central part of the inter-row and in the lateral portion of the wheels, where the traffic of agricultural machinery is repeated on fixed routes. The total rainfall data recorded during the study period in the experimental area was 434 mm, of which one major event in early November produced 350 mm. In October, all three plots were tilled, with sub-soiler at 25 cm depth (P1) and sub-soiler followed by roto-tiller at 15 cm depth (P2). Controlled grass plot (P3) was tilled as in P2 to renew the cover. During the summer rainfall event, soil water content in the P3 was higher than the other two plots, with lower values in P1, that reflects the protective role played by cover crop in storing water and reducing runoff. On plots, values were higher in the upper position than downslope. After the tilling operations, the event of greater magnitude happened: soil moisture follows similar trends in all plots, for the short period between tilling and precipitations. Soil water content was highest at the beginning of the rainfall event in the P1, where evident rills developed along the tracks of the sub-soiler's tools. These soil conditions may have allowed less water infiltration during the following rainfalls, thus favouring runoff, that resulted greater than in the other two plots. The different soil management techniques do not affect significantly the soil temperature.

Slope instability and streamflow processes in the mountainous part of the Sangone river basin have been investigated in conjunction with their influence on relief remodelling. Through historical records, the most critical sites during extreme rainfalls have been evidenced, concerned natural parameters and their effects (impact on man-made structures) reiterated over space and time. The key issue of the work is the simulation of a volume of detrital materials, which might be set in motion by a debris flow. Two modelling approaches have been tested and obtained results have been evaluated using Debris© (GEOSOFT s.a.s.) software. Simulation of debris flow in a small sub-catchment (Tauneri stream) was carried out and the thickness of sediment "package" that could be removed was calculated in order to assess the debris flow hazard. The Turconi & Tropeano formula (2000) was applied to all the partitions of the Sangone basin in order to predict the whole sediment volume which might be delivered to the main stream during an extreme event and the result being 117 m3/hectare.

Floods are a very common natural process in Italy. In the 20-year period from 1980 to 2000 the State set aside 7,400 million euro for flood damage, or roughly one million euro per day. With this study we developed a flood damage estimation model which land administration bodies and insurance companies could find useful in the management of flood-related damage data. The model simulates event scenarios and evaluates expected economic losses. Potential economic loss assessment implies knowledge of the event, exposed asset values and the degree of damage. Following a widely shared simplifying assumption, flood water level was taken as the only factor indicating event magnitude. The model incorporates the following steps: a) event description: definition of flood parameters (flooded area and water level), utilizing real-time measurements or data from event simulation with a hydraulic model; b) asset damage and identification of the affected population; c) evaluation of the degree of damage as a function of event magnitude; d) attribution of an economic value to different exposed assets; e) quantification of economic loss by multiplying economic losses and damage severity. The method could be used either as a forecasting tool to define event scenarios or for “real-time” damage assessment after a catastrophe. The approach is suitable primarily to large-area damage assessment but could also be appropriate for land use planning, civil protection, and risk mitigation.

To gain a better understanding of the global application of soil erosion prediction models, we comprehensivelyreviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the re-gions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv)how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To per-form this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. Theresulting database, named‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’, includes 3030 indi-vidual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluatedand transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insightsinto the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to sup-port the upcoming country-based United Nations global soil-erosion assessment in addition to helping to informsoil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is anopen-source database available to the entire user-community to develop research, rectify errors, andmakefutureexpansions

Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about citation characteristics and publication type. Here, we investigated the impact of the number of authors, the publication type and the selected journal on the number of citations. Generalized boosted regression tree (BRT) modelling was used to evaluate the most relevant variables related to soil erosion modelling. Additionally, bibliometric networks were analysed and visualized. This study revealed that the selection of the soil erosion model has the largest impact on the number of publication citations, followed by the modelling scale and the publication's CiteScore. Some of the other GASEMT database attributes such as model calibration and validation have negligible influence on the number of citations according to the BRT model. Although it is true that studies that conduct calibration, on average, received around 30% more citations, than studies where calibration was not performed. Moreover, the bibliographic coupling and citation networks show a clear continental pattern, although the co-authorship network does not show the same characteristics. Therefore, soil erosion modellers should conduct even more comprehensive review of past studies and focus not just on the research conducted in the same country or continent. Moreover, when evaluating soil erosion models, an additional focus should be given to field measurements, model calibration, performance assessment and uncertainty of modelling results. The results of this study indicate that these GASEMT database attributes had smaller impact on the number of citations, according to the BRT model, than anticipated, which could suggest that these attributes should be given additional attention by the soil erosion modelling community. This study provides a kind of bibliographic benchmark for soil erosion modelling research papers as modellers can estimate the influence of their paper.

16 Pags.- 12 Figs.- 8 Tabls., Soil erosion can present a major threat to agriculture due to loss of soil, nutrients, and organic carbon. Therefore, soil erosion modelling is one of the steps used to plan suitable soil protection measures and detect erosion hotspots. A bibliometric analysis of this topic can reveal research patterns and soil erosion modelling characteristics that can help identify steps needed to enhance the research conducted in this field. Therefore, a detailed bibliometric analysis, including investigation of collaboration networks and citation patterns, should be conducted. The updated version of the Global Applications of Soil Erosion Modelling Tracker (GASEMT) database contains information about citation characteristics and publication type. Here, we investigated the impact of the number of authors, the publication type and the selected journal on the number of citations. Generalized boosted regression tree (BRT) modelling was used to evaluate the most relevant variables related to soil erosion modelling. Additionally, bibliometric networks were analysed and visualized. This study revealed that the selection of the soil erosion model has the largest impact on the number of publication citations, followed by the modelling scale and the publication's CiteScore. Some of the other GASEMT database attributes such as model calibration and validation have negligible influence on the number of citations according to the BRT model. Although it is true that studies that conduct calibration, on average, received around 30% more citations, than studies where calibration was not performed. Moreover, the bibliographic coupling and citation networks show a clear continental pattern, although the co-authorship network does not show the same characteristics. Therefore, soil erosion modellers should conduct even more comprehensive review of past studies and focus not just on the research conducted in the same country or continent. Moreover, when evaluating soil erosion models, an additional focus should be given to field measurements, model calibration, performance assessment and uncertainty of modelling results. The results of this study indicate that these GASEMT database attributes had smaller impact on the number of citations, according to the BRT model, than anticipated, which could suggest that these attributes should be given additional attention by the soil erosion modelling community. This study provides a kind of bibliographic benchmark for soil erosion modelling research papers as modellers can estimate the influence of their paper., Nejc Bezak and Matjaž Mikoš would like to acknowledge the support of the Slovenian Research Agency through grant P2-0180. Diana Vieira is funded by national funds (OE), through FCT – Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen - DL57/2016 (CDL-CTTRI-97-ARH/2018 - REF.191-97-ARH/2018), and acknowledges CESAM financial support of through (UIDP/50017/2020+UIDB/50017/2020). Jae E. Yang and Pasquale Borrelli are funded by the EcoSSSoil Project, Korea Environmental Industry & Technology Institute (KEITI), Korea (Grant No. 2019002820004). Walter Chen is funded by the Ministry of Science and Technology (Taiwan) Research Project (Grant Number MOST 109-2121-M-027-001).

40 Pags.- 10 Figs.- 2 Tabls.- Suppl. Informat. The definitive version is available at: https://www.sciencedirect.com/science/journal/00489697, To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling published between 1994 and 2017. We aimed to identify (i) the processes and models most frequently addressed in the literature, (ii) the regions within which models are primarily applied, (iii) the regions which remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we combined the collective knowledge of 67 soil-erosion scientists from 25 countries. The resulting database, named ‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’, includes 3030 individual modelling records from 126 countries, encompassing all continents (except Antarctica). Out of the 8471 articles identified as potentially relevant, we reviewed 1697 appropriate articles and systematically evaluated and transferred 42 relevant attributes into the database. This GASEMT database provides comprehensive insights into the state-of-the-art of soil- erosion models and model applications worldwide. This database intends to support the upcoming country-based United Nations global soil-erosion assessment in addition to helping to inform soil erosion research priorities by building a foundation for future targeted, in-depth analyses. GASEMT is an open-source database available to the entire user-community to develop research, rectify errors, and make future expansions., Jae E. Yang and Pasquale Borrelli are funded by the EcoSSSoil Project, Korea Environmental Industry & Technology Institute (KEITI), Korea (Grant No. 2019002820004). Diana Vieira is funded by national funds (OE), through FCT – Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen - DL57/2016 (CDL-CTTRI-97-ARH/2018 - REF.191-97-ARH/2018), and acknowledges CESAM financial support of through (UIDP/50017/2020+UIDB/50017/2020). Walter Chen is funded by the Ministry of Science and Technology (Taiwan) Research Project (Grant Number MOST 109-2121-M-027-001). Nejc Bezak and Matjaž Mikoš would like to acknowledge the support of the Slovenian Research Agency through grant P2-0180.

Producción Científica, Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale based on the large dataset and number of soil erosion experimental stations., Ministerio de Economía y Competitividad - FEDER (CGL2014 52135-C3-3-R; ESP2017-89463-C3-3-R; CGL2014-59946-R; CGL2015-65569-R; CGL2015-64284- C2-2-R; CGL2015-64284-C2-1-R; CGL2016-78075-P; GL2008-02879/BTE; LEDDRA 243857; RECARE-FP7; CGL2017-83866-C3-1-R y PCIN-2017- 061/AEI), Ministerio de Economía y Competitividad (FJCI-2017-33652), Organización para la Cooperación y el Desarrollo Económicos (TAD/CRP JA00088807), Junta de Castilla y León - FEDER (CLU-2018-04)