Search

Agricultural production plays an important role in the global economy, contributing greatly to the supply of food resources and human well-being. Mapping the areas of agricultural coverage and calculating their respective average annual production values is useful for orienting food security strategies, in a context of climate change and a growing global population. Despite their importance, today no complete and updated maps exist for all types of crops. To provide this critical data lack, we have harmonized statistical datasets at a regional level of detail across Europe (EU-27) to develop a unified dataset consisting of the best available data in the context of agricultural monitoring activities carried out by the CREA. This document illustrates the methodologies adopted to create an harmonized database and an open and easy-to-use cartographic atlas of agricultural area and production, based on accessible, interoperable and reusable data available from Eurostat. The availability of detailed maps of area and crop production at a regional level can help optimize a wide range of agricultural monitoring, ranging from early warning on phytopathological conditions, to assessment of crop conditions, to production forecasts and the assessment of damage caused by extreme weather events, agricultural statistics, agricultural insurance and climate mitigation and adaptation actions. [ABSTRACT FROM AUTHOR]

The Soil and Water Assessment Tool (SWAT) enables the simulation of watershed and river basin quantity and quality of surface and ground water under the influence of land use, management, and climate change. It can be used to monitor and control soil erosion, non-point source pollution and basin management. The recent version (SWAT+) was implemented by a dedicated QGIS plugin (QSWAT) widening the userbase and the potential modelling application worldwide. QSWAT, along with additional software for preparing the input dataset and for performing the calibration/validation phase, further extends the watershed modelling capabilities. Such tools and the growing diffusion of public open geospatial datasets are expected to increase the range of applications especially with the availability climate projections datasets. The latter will enable users to simulate all the watersoil phenomena at watershed level under future conditions to better understand and plan suitable action for preserving the natural resources. [ABSTRACT FROM AUTHOR]

Bioenergy can significantly contribute to facilitating the transition to a self-sufficient low-carbon energy sector in Europe. The establishment of sustainable bioenergy systems needs ex-ante analysis that considers specific contexts and potential trade-offs, including competing uses of natural resources such as land, water and energy. The use of marginal and underutilized lands has been emphasized as a valuable strategy to overcome the food vs fuel paradigm and the direct and indirect land use change that can derive from the cultivation of bioenergy crops. Nevertheless, the fragmentation of these lands can significantly affect the energy efficiency of the systems, due to increased energy needs for inputs and transport, with trade-offs on the carbon footprint of the pathway. This study performs an ex-ante assessment of the sustainability of a short bioenergy pathway through the Land-Water-Energy nexus approach, by the iterative use of a web geographic information systems platform, developed on the methodology of the Global Bioenergy Partnership. The simulations show that the production of bioenergy from oilseed crops is expected to reduce greenhouse gas emissions by 73% compared to the reference emission value for fossil fuels in transport. The platform proofs to be effective and user-friendly for assessing and optimizing the intricate interlinkages among the various nexus domains that coexist within the bioenergy system based on the cultivation of underutilized land. Its use can facilitate the nexus operationalization serving as a timesaving decision-support tool for the development of sustainable bioenergy systems that contribute to the transition towards a low-carbon energy sector in Europe. [Display omitted] • Bioenergy production using undertuilized land can support a low-carbon transition of the energy sector. • A web-GIS platform was proposed to incorporate the Land-Water-Energy nexus of bioenergy. • The GBEP sustainability indicators was implemented for the assessment and monitoring. • Nexus assessment go beyond the compartmentalization of disciplinary silos. [ABSTRACT FROM AUTHOR]

Abstract The cultivation of marginal lands for bioenergy production has recently become a topic of research interest for the agronomic and agricultural economy scientific communities. The growing availability of arable land in the Mediterranean regions, as a consequence of the decline of cereal cropping systems and grain legume, provides ample opportunities for performing successful feedstock production on unmanaged areas. This paper seeks to capture and analyze ongoing and emerging questions concerning bioenergy production on marginal lands in the Mediterranean area in a framework of sustainability indicators. A qualitative methodology was adopted to evaluate the effectiveness of eight critical issues that bio-energy developers, scholars and policymakers should consider in terms of agronomic, techno-economic and methodological practices for growing bioenergy feedstock. The issues investigated on selected case studies are: Greenhouse gas emissions; soil quality; land restoration and phytoremediation capacity; water use and efficiency; biodiversity; land use/cover changes; farmers' willingness and acceptance of new agro-system, and profitability of value chain. Starting from an in-depth analysis of the definition of marginal land from the perspective of ecosystem service cascade, we synthesize how these challenges are nowadays addressed and which are the key bottlenecks, trends and potential directions for guiding future research into bioenergy production in the Mediterranean regions. The findings of this study suggest that dedicated energy crops can be grown on marginal lands with substantial positive effects in terms of sustainability aspects, although more efforts should be carried out through agronomic research especially on water use efficiency and biodiversity conservation, as well as by national and EU institutions and policies for promoting economic opportunities and integration with surrounding agro-ecosystems and farmers' involvement. Developing a site-specific landscape design with the use of Life Cycle Assessment and certification schemes with sustainability indicators is of primary importance for the effective bioenergy production on marginal lands. Graphical abstract fx1 Highlights • Key issues concerning bioenergy production in the Mediterranean area were analyzed. • The concept of marginal land was analyzed. • The use of tailored GBEP sustainability indicators was fostered. • Eight critical issues were reviewed discussing key results and future challenges. • Possible technical and policies improvement solutions are proposed. [ABSTRACT FROM AUTHOR]

In the context of environmental sustainability there has been an increasing interest in bioenergy production from renewable resources, and is expected that European biofuel production from energy crops will increase as a consequence of the achievement of policy targets. The aim of this paper is to assess the agronomic feasibility of biomass crop cultivation to provide profitable renewable feedstocks in a marginal and heavy-metal polluted area located in the Sulcis district, Sardinia (Italy). Results from literature review and unpublished data from field trials carried out in Sardinia were analysed to establish the main agronomic traits of crops (e.g., yield potential and input requirements). A Geographical Information System (GIS)-based procedure with remotely sensed data is also used to evaluate the land suitability and the actual land use/cover, considering a future scenario of expansion of energy crops on these marginal areas avoiding potential conflicts with food production. The results of the review suggests that giant reed, native perennial grasses and milk thistle are the most suitable energy crops for this area. The land suitability analysis shows that about 5700 ha and 1000 ha could be available for feedstock cultivation in the study area and in the most polluted area, respectively. The results obtained from land suitability process and agronomic evaluation will serve as a base to support technical and economical feasibility studies, as well as for the evaluation of environmental sustainability of the cultivation in the study area. [ABSTRACT FROM AUTHOR]

Google Earth (GE) has recently become the focus of increasing interest and popularity among available online virtual globes used in scientific research projects, due to the free and easily accessed satellite imagery provided with global coverage. Nevertheless, the uses of this service raises several research questions on the quality and uncertainty of spatial data (e.g. positional accuracy, precision, consistency), with implications for potential uses like data collection and validation. This paper aims to analyze the horizontal accuracy of very high resolution (VHR) GE images in the city of Rome (Italy) for the years 2007, 2011, and 2013. The evaluation was conducted by using both Global Positioning System ground truth data and cadastral photogrammetric vertex as independent check points. The validation process includes the comparison of histograms, graph plots, tests of normality, azimuthal direction errors, and the calculation of standard statistical parameters. The results show that GE VHR imageries of Rome have an overall positional accuracy close to 1 m, sufficient for deriving ground truth samples, measurements, and large-scale planimetric maps. [ABSTRACT FROM AUTHOR]

The sustainable management of water resources plays a key role in Mediterranean viticulture, characterized by scarcity and competition of available water. This study focuses on estimating the evapotranspiration and crop coefficients of table grapes vineyards trained on overhead "tendone" systems in the Apulia region (Italy). Maximum vineyard transpiration was estimated by adopting the "direct" methodology for ETp proposed by the Food and Agriculture Organization in Irrigation and Drainage Paper No. 56, with crop parameters estimated from Landsat 8 and RapidEye satellite data in combination with ground-based meteorological data. The modeling results of two growing seasons (2013 and 2014) indicated that canopy growth, seasonal and 10-day sums evapotranspiration values were strictly related to thermal requirements and rainfall events. The estimated values of mean seasonal daily evapotranspiration ranged between 4.2 and 4.1 mm·d-1, while midseason estimated values of crop coefficients ranged from 0.88 to 0.93 in 2013, and 1.02 to 1.04 in 2014, respectively. The experimental evapotranspiration values calculated represent the maximum value in absence of stress, so the resulting crop coefficients should be used with some caution. It is concluded that the retrieval of crop parameters and evapotranspiration derived from remotely-sensed data could be helpful for downscaling to the field the local weather conditions and agronomic practices and thus may be the basis for supporting grape growers and irrigation managers. [ABSTRACT FROM AUTHOR]

Predicting the availability and quality of freshwater resources is a pressing concern in the Mediterranean area, where a number of agricultural systems depend solely on precipitation. This study aims at predicting streamflow and nonpoint pollutant loads in a temporary river system in the Mediterranean basin (Sulcis area, Sardinia, Italy). Monthly discharge, suspended sediment, nitrate nitrogen, total nitrogen, mineral phosphorus, and dissolved oxygen in-stream monitoring data from gauge stations were used to calibrate and validate the Soil and Water Assessment Tool model for the period 1979–2009. A Sequential Uncertainty Fitting procedure was used to auto-calibrate parameter uncertainties and model evaluation. Monthly simulation during the validation period showed a positive model performance for streamflow with Nash–Sutcliffe efficiency and percent bias values of 0.7% and 18.7%, respectively. The simulation results at a watershed level indicate that the sediment load was 1.13 t ha−1 year−1, while for total nitrogen and total phosphorus, the simulated values were 4.8 and 1.18 kg ha−1 year−1, respectively. These results were consistent with the values of soil and nutrient losses observed in the Mediterranean area, although hot-spot areas with high nutrient loadings were identified. The calibrated model could be used to assess long-term impacts on water quality associated with the simulated land use scenarios. [ABSTRACT FROM AUTHOR]

Current and future scenarios for global agricultural systems under a changing climate require innovative approaches, novel datasets, and methods for improving environmental resource management and better data-driven decision-making. MODIS data were complemented with Copernicus FCover, VIIRS satellite, and climatic data to consider vegetation cover, phenological phases, and seasonality of precipitation. EO data and GIScience will certainly be pivotal in ensuring the implementation of European Union (EU) and global policies such as the Sustainable Development Goals (SDGs) or the EU's Green Deal. [Extracted from the article]

The paper proposes a methodology to assess water consumption in urban agriculture. Green and blue water footprints were calculated for five selected community gardens (CGs) in Rome (Italy) based on weather, crops, and yields. Then, the water requirement for all the CGs of the city, identified by means of a geodatabase, was estimated. For a cultivated area of 4.06 ha, an overall water requirement of 22,036 m3 (13,596 m3 green and 8,440 m3 blue) resulted from the assessment. Considering also the efficiency of the irrigation system, blue water consumption would reach 20,000 m3 in the worst scenario (furrow irrigation). [ABSTRACT FROM AUTHOR]

The occurrence of water shortages ascribed to projected climate change, especially in the Mediterranean region, fosters the interest in remote sensing (RS) applications to optimize water use in agriculture. Remote sensing evapotranspiration and water demand estimation over large cultivated areas were used to manage irrigation to minimize losses during the crop growing cycle. The research aimed to explore the potential of the MultiSpectral Instrument (MSI) sensor on board Sentinel-2A to estimate crop parameters, mainly surface albedo (α) and Leaf Area Index (LAI) that influence the dynamics of potential evapotranspiration (ET p ) and Irrigation Water Requirements (IWR) of processing tomato crop ( Solanum lycopersicum L.). Maximum tomato ET p was calculated according to the FAO Penman-Monteith equation (FAO-56 PM) using appropriate values of canopy parameters derived by processing Sentinel-2A data in combination with daily weather information. For comparison, we used the actual crop evapotranspiration (ET a ) derived from the soil water balance (SWB) module in the Environmental Policy Integrated Climate (EPIC) model and calibrated with in-situ Root Zone Soil Moisture (RZSM). The experiment was set up in a privately-owned farm located in the Tarquinia irrigation district (Central Italy) during two growing seasons, within the framework of the EU Project FATIMA (FArming Tools for external nutrient Inputs and water Management). The results showed that canopy growth, maximum evapotranspiration (ET p ) and IWR were accurately inferred from satellite observations following seasonal rainfall and air temperature patterns. The net estimated IWR from satellite observations for the two-growing seasons was about 272 and 338 mm in 2016 and 2017, respectively. Such estimated requirement was lower compared with the actual amount supplied by the farmer with sprinkler and drip micro-irrigation system in both growing seasons resulting in 364 (276 mm drip micro-irrigation, and 88 mm sprinkler) and 662 (574 mm drip micro-irrigation, and 88 mm sprinkler) mm, respectively. Our findings indicated the suitability of Sentinel-2A to predict tomato water demand at field level, providing useful information for optimizing the irrigation over extended farmland. [ABSTRACT FROM AUTHOR]

Eco-hydrological models, such as SWAT (Soil Water Assessment Tool), are used to simulate complex hydrological processes and LU management in relation to water quality and quantity on a wide range of ecosystems. SWAT, developed by United States Department of Agriculture, is one of the most widely used watershed-scale modelling to assess changes in landscape management practices on water, sediment, and chemical yield. However, the availability of LU maps with good spatial and thematic resolution is one of the limiting factors in watershed modelling. Updated and detailed LU maps are required to grasp the variability and complexity of modelled landscapes. In fact, detailed LU maps with crop types can improve the model's capabilities in simulating evapotranspiration, surface runoff, soil infiltration, nutrient loss, and biomass production. This work reports the achievements in developing an integrated LU map for modelling watershed processes in the Mediterranean context within the Cervaro river basin (900 sq. km ca.), South Italy (Puglia region), with a dominant agricultural LU (Figure 1). Water is a critical natural resource in a Mediterranean country like Italy, vulnerable to risks stemming from climate change such as a related risk of decrease in water availability and crop yields. We applied a methodology for geospatial data integration from the Italian Paying Agency (AGEA) responsible for managing the farmers' subsidies with the Integrated Administration and Control System (IACS) in the framework of the Common Agricultural Policy (CAP). IACS geodata, such as the Land Parcel Identification System (LPIS) and the GeoSpatial Aid Application (GSAA), are the relevant resource on LU parcels managed by Italian farms. This typology of data is one of the best maintained datasets in EU with regular updates and quality controls. Recently, IACS data reusability is becoming a reality thanks to effort of the EU Commission to opening the data within the more general action in "shaping Europe's digital future" by fostering the re-use of government-held data (Directive (EU) 2019/1024). LPIS contains homogeneous land use/cover areas digitized from ortho-imagery with high spatial resolution, resulting in a wall-to-wall map including Italian agricultural and non-agricultural areas with a full update every three years. GSAAcontains digitized on-screen parcels for which an aid is requested yearly by Italian farmers and modified/updated by the paying agency after controls to ensure accuracy. Thematic details on agriculture within GSAA is dramatically higher than the LPIS thanks to the availability of crops classes detailed with a 5-level nomenclature. Within the LPIS an additional geographical layer is also available reporting the cadastral parcels with updated LU information deriving from in-situ field checks and other administrative sources. The conflation method for integrating the three vector layers (two LPIS and GSAA) followed different steps: conversion to a common projection system, topology and geometry checks, aggregation of small polygons and nomenclatures matching (from IACS to SWAT classes) through semantic analysis. Geometric and attributes processing allowed to reduce dimensionality of the "hybrid layer": from 300k to 50k ca. polygons and from 33k LU combinations to 57 SWAT LU classes (Table 1). The "hybrid layer" (Figure 2) enables accurate modelling with SWAT to understand the relationship between LU management and water quality as an important opportunity in the context of both the reformed CAP and the Farm to Fork strategy aiming to reduce the environmental and climate footprint of the EU food system by preserving and restoring the land and freshwater resources. The spatial details coming from very high-resolution imagery and thematic details enhanced by administrative controls and farmers declarations provides much higher performances compared to classical LU maps. The EU-wide data availability, the yearly updates of information and the detailed attributes (e.g., crops typology, greening and organic practices, crop rotation, conservation tillage, etc.) can shift upward the accuracy of the eco-hydrological modelling. [ABSTRACT FROM AUTHOR]

Biogas production and use can represent a win-win strategy providing multiple opportunities to mitigate the emission of greenhouse gases responsible for climate change, while offering a range of important social, environmental and economic benefits. Nevertheless, as for other bioenergy pathways, biogas sustainability needs to be carefully assessed and continuously monitored in light of the specific geographic and temporal context in which it performs. This paper aims to provide a comprehensive review on the sustainability assessment of domestic production and use of biogas in Italy, with a focus on the environmental dimension of the sustainability. Furthermore, it elaborates the results of the review to perform an ex-novo sustainability assessment of biogas pathway at national level, through the methodology developed by the Global Bioenergy Partnership. The biogas value chain in Italy can play a positive role to foster the transition towards an ecological and circular economy. This paper highlights both weaknesses and strengths of the biogas value chain in Italy and points out existing differences, in relation to the sustainability of the value chain, between various geographical areas of the country. The outcomes of this study could inform, both at national and international scale, the drawing of tailor-made policies and measures to reduce biogas-related potential risks of environmental impacts, as well as to support the replication and scaling up of successful management practices. Furthermore, they could serve as a baseline for the future monitoring of the sector. Ultimately, the paper reports the key difficulties encountered in the implementation of the GBEP methodology and the solutions adopted to overcome them. [Display omitted] • Three-quarters (75.4%) of the Italian biogas production takes place in the Po river valley, one-third comes from Lombardy. • Maize silage and livestock manure are the most common feedstocks in Italian biogas plants. • Roughly 80 k tons of nitrogen contained in livestock manure were treated by biogas plant in Italy in 2016. • The main source of GHG emissions along the biogas pathway in Italy lies in the cultivation of dedicated bioenergy crops. • Water shortage hampers the development of the biogas sector in southern Italy, restricting the cultivation of energy crops. [ABSTRACT FROM AUTHOR]

Bioenergy represents the highest share of renewable energies consumed in the European Union and is still expected to grow. This could be possible by exploring bioenergy production on Marginal, Underutilised, and Contaminated lands (MUC) that are not used for agricultural purposes and therefore, present no competition with food/feed production. In this paper, the viability and sustainability of bioenergy value chains on these lands is investigated and measures for market uptake were developed. Using three case study areas in Italy, Ukraine, and Germany, a screening of MUC lands was conducted, then an agronomic assessment was performed to determine the most promising crops. Then, techno-economic assessments followed by sustainability assessments were performed on selected value chains. This concept was then automated and expanded through the development of a webGIS tool. The tool is an online platform that allows users to locate MUC lands in Europe, to define a value chain through the selection of bioenergy crops and pathways, and to conduct sustainability assessments measuring a set of environmental, social, and economic sustainability indicators. The findings showed positive results in terms of profitability and greenhouse gas emissions for bioethanol production from willow in Ukraine, heat and power production from miscanthus, and biogas and chemicals production from grass in Germany. The webGIS tool is considered an important decision-making tool for stakeholders, which gives first insights on the viability and sustainability of bioenergy value chains. [ABSTRACT FROM AUTHOR]