Agricultural Areas In Europe Research Articles

Occurrence and distribution of pesticides and transformation products in ambient air in two European agricultural areas

Pesticides present a significant risk for both humans and the environment. However, quantitative data for a broad range of airborne pesticides in agricultural areas are missing. During or after the application, pesticides can reach the atmosphere and partition between the particulate and gaseous phase. As part of the EU project SPRINT, weekly ambient air samples were collected from two agricultural areas in Portugal (vineyard) and the Netherlands (potatoes, onions, and sugarbeet) between April 2021 and June 2022 using high-volume air samplers. The samples were analysed for 329 pesticides, of which 99 were detected. The most frequently detected compounds included the fungicides folpet, fenpropidin and mandipropamid, the insecticide chlorpyrifos-methyl, the herbicide terbuthylazine, and the metabolite prothioconazole-desthio, which were found with detection frequencies between 40 and 57 %. Pesticide concentrations ranged between 0.003 ng/m3 and 10 ng/m3. Remarkably, 97 % of the samples contained at least one pesticide and in 95 % of the samples, pesticide mixtures were present. The calculated particle phase fractions correlated with the octanol-air partitioning coefficient for most of the investigated compounds. Furthermore, calculated daily inhalation rates for individual pesticides and pesticide mixtures were far below the Acceptable Daily Intake (ADI) with a margin of exposure (MOE) of >1000 for the highest calculated daily inhalation rate for a child. However, as this value only includes pesticide intake from food and drinking water and considering that 91 % of the detected pesticides are associated with potential adverse human health effects. These findings highlight the broad range of airborne pesticides in agricultural areas and the need for quantitative data to include the intake of mixtures of highly hazardous pesticides by inhalation in human risk assessment.

Ecotoxicological soil risk assessment under the new soil exposure framework – an impact assessment

For the European risk assessment (RA) for soil organisms exposed to plant protection products (PPPs) endpoints from ecotoxicological laboratory studies are compared with predicted environmental concentrations in soil (PECSOIL) at first tier. A safety margin must be met; otherwise, a higher tier RA is triggered (usually soil organism field studies). A new tiered exposure modeling guidance was published by EFSA to determine PECSOIL. This work investigates its potential impact on future soil RA. PECSOIL values for >50 active substances and metabolites were calculated and compared with the respective endpoints for soil organisms to calculate the RA failure rate. Compared to the current (FOCUS) exposure modeling, PECSOIL values for all EU regulatory zones considerably increased, e.g., resulting in active substance RA failure rates of 67%, 58% and 36% for modeling Tier-1, Tier-2 and Tier-3A, respectively. The main driving factors for elevated PECSOIL were soil bulk density, crop interception and wash-off, next to obligatory modeling and scenario adjustment factors. Spatial PECSOIL scenario selection procedures result in agronomically atypical soil characteristics (e.g., soil bulk density values in Tier-3A scenarios far below typical European agricultural areas). Consequently, exposure modeling and ecotoxicological study characteristics are inconsistent, which hinders scientifically reasonable comparison of both in the RA.

Coexistence of European hares and Alpine mountain hares in the Alps: what drives the occurrence and frequency of their hybrids?

AbstractAs a glacial relict species, mountain hares are adapted to cold and snowy conditions. Conversely, European hares originate from the grasslands of the Middle East and spread from there throughout low‐lying agricultural areas of Europe. Mountain hares and European hares generally occur allopatrically, however, sympatry occurs in some areas. In sympatric areas, introgressive hybridisation poses a threat to the Alpine mountain hare by reducing its genetic integrity. Introgressed individuals can be found in both species but are far more frequent in European hares than in mountain hares. The ecology of hybrids is poorly known in these species. To examine the Alpine mountain hare and European hare populations in the Alps with a particular focus on the occurrence and ecology of their hybrids, we performed molecular genetic analysis of hare faecal samples collected in four study areas in the Alps in South Tyrol for three winters and compared habitat associations of the genotyped samples. We recorded 150 individuals (i.e. 14 hybrids, 25 European hares and 111 Alpine mountain hares). Four introgressed individuals were at levels consistent with F2 hybrids, whereas the others showed an older interspecific gene flow. We found that hybrid faeces tended to be at lower elevations compared to those of Alpine mountain hare but at higher elevations than those of the European hare. The frequency of Alpine mountain hares decreased as the proportion of Alpine grassland increased but was positively correlated with the proportion of dwarf shrub heaths. No effect of vegetation type was found for the frequency of European hares and hybrids. Our results support the widely raised concerns that the European hare, as a generalist, is a strong competitor with the Alpine mountain hare in the Alpine ecosystem in the time of global climate change.

Effects of experimental rewilding on butterflies, bumblebees and grasshoppers

Grassland ecosystems are species-rich habitats that are rapidly declining globally posing serious concerns for biodiversity conservation. This situation is particularly relevant in agricultural areas in Europe. As traditional management practices and livestock grazing regimes ceased, rewilding could be a potential avenue to tackle current biodiversity declines. To test this hypothesis, we set up a 3-year experiment where 12 horses were introduced in three 10-hectare enclosure replicates (four horses per enclosure). Horses were kept without supplementary feeding to mimic ecosystem functions of wild horses. We applied Generalized Linear Mixed Effects Models and a backward stepwise model selection procedure to elucidate factors that modulate insect richness induced by grazing. Our results show that plant species richness, the proportion of flowers and plant height play a significant role for butterfly and bumblebee richness, while the opposite effect was detected for grasshoppers. However, the effect on grasshoppers was counterbalanced by increased grasshopper species richness in habitats adjacent to horse latrines.Implications for insect conservationRewilding with horses may offset current biodiversity declines by maintaining important functional links between plants and pollinators in grassland ecosystems. Horse grazing can however have different effects on diverse functional groups of insects. Application of integrative landscape scale approaches may be needed to elucidate the effects of rewilding for certain functional groups such as grasshoppers. With current biodiversity declines, up-scaling rewilding research and practice might be crucial to mitigate the pervasive effects on insects as their services and functions are critical for our existence.

Reconstruction of historical forest cover on a 1° grid in central and southeast Europe from AD 1800 to 2000

The natural vegetation has been substantially changed over the last millenium, especially from forest to agricultural areas in Europe. To study the effects of deforestation on carbon and climate system, it is essential to construct spatially precise maps in forest cover. The current representative historical forest data sets are either derivatives of agricultural datasets or are produced based on the deforestation-population relationship. Almost no attempts have been made to use the inherently linked relationship between deforestation and cropland expansion that has run through Europe for millennia. This study created an approach based on the relationship between cultivation intensity and forest fraction to reconstruct forest cover changes in central and southeast Europe from AD 1800 to 2000 by the following steps: (1) To develop the spatial relationship curve (spatial resolution is 1°) between the “cultivation intensity (0–100%)” and the “forest fraction (0–100%)” derived from modern land cover datasets; (2) To generate the national-scale cropland data based on historical records from AD 1800 to 2000, and to allocate them to a 1° pixel; (3) To reconstruct the forest cover using the aforementioned relationship curve and the historical gridded cropland database. The results show that: (1) The forest fraction in central and southeast Europe decreased from 38.4% in AD 1800 to 27.0% in AD 1900, and then increased to 32.5% in AD 2000. (2) In AD 1800, large areas of forests can be primarily found in Luxembourg, Netherlands and Belgium, the south of France, the south of Germany, the Alps region, Poland, and the majority of the Balkans. (3) Throughout the 19th century, the entire region was generally subjected to deforestation, with large areas of forest coverage only being preserved in the Alps and the western and southern Balkans after 100 years of exploration. (4) The forest coverage in most of the study regions increased again at the end of the 20th century.

Shattercane (Sorghum bicolor (L.) Moench Subsp. Drummondii) and Weedy Sunflower (Helianthus annuus L.)—Crop Wild Relatives (CWRs) as Weeds in Agriculture

Shattercane (Sorghum bicolor (L.) Moench subsp. drummondii) and weedy sunflower (Helianthus annuus L.) are two examples of crop wild relatives (CWRs) that have become troublesome weeds in agriculture. Shattercane is a race belonging to a different subspecies than domesticated sorghum (Sorghum bicolor (L.) Moench subsp. bicolor). Weedy sunflower populations are natural hybrids between wild and domesticated sunflower (Helianthus annuus L.). Both species have key weedy characteristics, such as early seed shattering and seed dormancy, which play an important role in their success as agricultural weeds. They are widely reported as important agricultural weeds in the United States and have invaded various agricultural areas in Europe. Shattercane is very competitive to sorghum, maize (Zea mays L.), and soybean (Glycine max (L.) Merr.). Weedy sunflower causes severe yield losses in sunflower, maize, soybean, pulse crops, and industrial crops. Herbicide resistance was confirmed in populations of both species. The simultaneous presence of crops and their wild relatives in the field leads to crop–wild gene flow. Hybrids are fertile and competitive. Hybridization between herbicide-tolerant crops and wild populations creates herbicide-resistant hybrid populations. Crop rotation, false seedbed, cover crops, and competitive crop genotypes can suppress shattercane and weedy sunflower. Preventative measures are essential to avoid their spread on new agricultural lands. The development of effective weed management strategies is also essential to prevent hybridization between sorghum, sunflower, and their wild relatives and to mitigate its consequences.

Hedgerow object detection in very high-resolution satellite images using convolutional neural networks

Hedgerows are one of the few remaining natural landscape features within European agricultural areas. To facilitate hedgerow monitoring, cost-effective and accurate mapping of hedgerows across large spatial scales is required. Current methods used for automatic hedgerow detection are overly complicated and generalize poorly to larger areas. We examine the application of transfer learning using two neural networks (Mask R-CNN and DeepLab v3+) for hedgerow mapping in south-eastern Germany using IKONOS imagery. We demonstrate the potential of such networks for hedgerow monitoring by investigating performances across varying input image bands, seasonal imagery, and image augmentation strategies. Both networks successfully detected hedgerows across a large spatial scale (562 km2), with DeepLab v3+ (75% F1-score) outperforming Mask R-CNN. Differences between band combinations were minimal, implying hedgerow detection could be achieved using RGB sensors. Results suggested that using all available training images across seasons is preferred and should have the same model generalizing effects as data augmentation. Experiments with varying data augmentations found augmentations effecting object geometries to greatly increase performance for both networks while results using augmentations modifying pixel spectral values showed concerning effects. Overall, our study finds that transfer learning in neural networks offers a simplified approach that outperforms previously established methods.

Assessment of the economic and environmental sustainability of Variable Rate Technology (VRT) application in different wheat intensive European agricultural areas. A Water energy food nexus approach

In this paper we assess the sustainability of Variable Rate Technology (VRT) application for different wheat intensive agricultural areas in Europe. Within the H2020 FATIMA project we developed an analytical framework to assess the environmental and economic sustainability of nutrient management in two Case Studies in Greek and Czech Republic, implemented with different fertilization strategies in the winter wheat production, compared with the conventional one.We look at the economic and environmental dimension expressed throughout a set of specific performance indicators implemented under the Water Energy Food (WEF) nexus framework. Considering that fertilization strategies significatively affect environmental impact as well as economic performance at farm level, we investigated how Precision Agriculture (PA) tools, and particularly VRT, most suitable for increasing efficiency in fertilization distribution, can improve and maximize efficiency of inputs and profitability of individual fields by targeting application where needed and at optimum rates.The study shows how, despite a general reduction of production cost and increase in gross margin, farm sizes and the level of efficiency of the “as usual scenario” influence the economic impact of the VRT. Looking instead at the environmental perspective of the analysis, the results provide evidence of a decrease of nitrogen (N) due to lower amount of fertilizers, as well as a better distribution according to the potential productivity of the field, causing reduced impact of groundwater quality (nitrate loss by leaching). On the other side, some constraints arise from the high cost and the investments needed to adopt VRT at farm level, one of the main challenges to be solved through adequate policy instruments.

Evaluation of soil erosion risk and identification of soil cover and management factor (C) for RUSLE in European vineyards with different soil management

Vineyards show some of the largest erosion rates reported in agricultural areas in Europe. Reported rates vary considerably under the same land use, since erosion processes are highly affected by climate, soil, topography and by the adopted soil management practices. Literature also shows differences in the effect of same conservation practices on reducing soil erosion from conventional, bare soil based, management. The Revised Universal Soil Loss Equation (RUSLE) is commonly adopted to estimate rates of water erosion on cropland under different forms of land use and management, but it requires proper value of soil cover and management (C) factors in order to obtain a reliable evaluation of local soil erosion rates. In this study the ORUSCAL (Orchard RUSle CALibration) is used to identify the best calibration strategy against long-term experimental data. Afterwards, ORUSCAL is used in order to apply the RUSLE technology from farm based information across different European wine-growing regions. The results suggest that the best strategy for calibration should incorporate the soil moisture sub-factor (Sm) to provide better soil loss predictions. The C factor, whose average values ranged from 0.012 to 0.597, presented a large spatial variability due to coupling with local climate and specific local management. The comparison across the five wine-growing regions indicates that for the soil protection management, permanent cover crop is the best measure for accomplishing sustainable erosion rates across the studied areas. Alternate and temporary cover crops, that are used in areas of limited water resources to prevent competition with vines, failed to achieve sustainable erosion rates, that still need to be addressed. This raises the need for a careful use of C values developed under different environmental conditions.

Sustainability And Agriculture

Water resources are being threatened by farming initiatives in developing countries as well as in more advanced countries. It entails the disruption of aged soils for cultivation of palm oil emitting CO 2 gases into the atmosphere. It also results from the use of fertilizers in agricultural areas in Europe and the United States. Unless significant intervention by non-government and government entities persuade for-profit enterprises to engage in significantly more sustainable agricultural practices, the availability of clean water resources will reach catastrophically low levels. Suggestions for reaching more sustainable outcomes are provided.

Home Range and Habitat Selection of Long-Eared Owls (Asio Otus) in Mediterranean Agricultural Landscapes (Crete, Greece)

The Long-eared Owl (Asio otus) in Crete (Greece) is a common agricultural species affected by the recent changes in agro-forestry systems. Concrete studies of habitat selection are needed in order to improve our knowledge of its foraging behaviour in managed rural landscapes. In the present study, we analysed the home range size and habitat selection of 11 Long-eared Owls inside olive groves in the plain of central Crete using radio tracking data and remote sensing images. Six nominal scale and 11 landscape scale predictors were used for habitat selection analysis, using a maximum entropy approach. Home range size ranged between 337 and 969 ha while a 52% of home range overlap was observed suggesting that Long-eared Owls do not defend hunting territories. At the nominal scale, distance to potential roosts (trees) was the most important contributor to model performance, followed by vegetation heterogeneity. Furthermore, local heterogeneity of greenness was a better predictor than simply greenness at the presence location. At the landscape scale the amount of habitat openness significantly improved model performance. Incorporating landscape heterogeneity improved habitat selection prediction compared to using only discrete land cover classification. Results of our study pinpoint that although Long-eared Owls exhibit a wide range of habitat tolerance, they prefer mixed habitat conditions avoiding particularly open areas or dense olive plantations. The research has implications in the face of new reforms of European Common Agricultural policy which emphasised the importance of landscape structure in preserving biodiversity in agricultural areas of Europe.

Dry‐stone wall terrace monitoring and modelling

AbstractDry‐stone wall agricultural terraces are widespread all over the world and represent an effective retaining structure for farming purposes. However, dry‐stone walls can be subjected to degradation and damages, with complex and expensive maintenance. Such high costs are the most relevant drivers of land abandonment in many agricultural areas of Europe and of other continents, resulting in a progressive loss of cultivable surface, cultural heritages, and landscape traditional elements. Therefore, a more effective and efficient management of these systems is needed. As a contribution, in the present paper, an innovative modelling approach system is proposed. The presented model is able to describe hydrological processes on a terraced slope and to analyze the destabilizing pressures acting on the retaining dry‐stone walls in the most critical portion of each terrace. The model structure is based on the results of multidisciplinary field monitoring campaigns on water circulation in terraced landscapes carried out on a terraced vineyard (Lamole, Tuscany, Italy). A monitoring station was set up on a recently reconstructed dry‐stone wall, to measure the parameters influencing the pressures acting on the retaining structure. The results show a good capability of the model to predict the distribution and intensity of stresses on the instrumented dry‐stone wall over time and space. Such stresses were related to the earth pressure and to hydrostatic pressures (water accumulation), without the occurrence of soil saturation. Detecting the most failure‐prone portions of a terraced system, this approach can support landowners and land planners in managing these complex and fragile environments.

A pan-European model of landscape potential to support natural pest control services

Pest control by natural enemies (natural pest control) is an important regulating ecosystem service with significant implications for the sustainability of agro-ecosystems. The presence of semi-natural habitats and landscape heterogeneity are key determinants of the delivery of this service. However, to date, synthetic and consistent indicators at large scales are lacking. We developed a pan-European, spatially-explicit model to map and assess the landscape potential to sustain natural pest control. The model considers landscape composition in terms of semi-natural habitats types, abundance, spatial configuration and distance from the focal field. It combines recent high-resolution geospatial layers with empirical results from extensive field surveys measuring the specific contribution of different semi-natural habitats to support insects flying enemies providing natural pest control. The resulting maps facilitate a comparison of the relative biological control potential of different areas and show that currently a large proportion of high-productive agricultural areas in Europe has low potential. The obtained indicator can inform the formulation of policies and planning strategies aimed at increasing biodiversity and ecosystem services and can be used to assess trade-offs between different services. Potential fields of application include the Common Agricultural Policy and the EU Biodiversity Strategy, in particular the implementation of Green Infrastructure.

Does drought always cause economic losses in agriculture? An empirical investigation on the distributive effects of drought events in some areas of Southern Europe

Studies on the impacts of drought usually make the implicit assumption that there will always be a negative effect on the environment, the economy and society. However, other approaches, based for example on the framework provided by the consumer surplus theory, try to focus on the distributive effects of drought. In this paper, in the wake of such approaches, we address the question of the distributive effects of drought on agriculture, exploring and studying in depth the characteristics, the signs and the magnitude of the socio-economic impacts of droughts on specific significant agricultural areas in Europe. According to our estimations, essentially based on the analysis of trends and changes in production and prices, we found that drought events can create not only “losers”, but also “winners”. Some social groups (for example, some categories of farmers) can even “win”, while others “lose” (for example, final consumers). These findings apparently introduce questions of social justice in the evaluation of the impacts of climate change.

Quantifying the non-breeding provenance of staging Ruffs, Philomachus pugnax, using stable isotope analysis of different tissues

International conservation efforts for migratory populations are most effectively based on quantification of the geographical linkages between wintering, staging, and breeding areas, patterns that may not remain constant in times of global change. We used stable isotope (δ 13C, δ 15N, and δ 2H) measurements of different tissues representing distinct periods of dietary integration to quantify the non-breeding provenance of a threatened staging population of Ruffs Philomachus pugnax. In 199 staging Ruffs captured in 2012 during northward migration in the Netherlands, we compared the multi-isotope patterns of feathers grown at wintering grounds, with the δ 13C and δ 15N profiles of blood cells and plasma representative of staging areas. Few birds had the 13C-depleted and 15N-enriched feathers suggestive of wintering quarters in European agricultural areas. Most Ruffs had higher feather δ 13C values, suggesting that they wintered in sub-Saharan Africa. Feather δ 2H values were not informative due to the overlap of values from European and African moulting sites. Blood cell δ 13C and δ 15N values indicated that sub-Saharan Ruffs fuelled on low trophic-level foods in habitats dominated by C3 terrestrial or freshwater aquatic primary production, e.g. the rice fields in Africa or the Mediterranean. Stable isotope ratios in plasma suggested that Ruffs made stopovers in southern European agricultural areas. Stable isotopes thus enabled assessments of wintering origin in large numbers of birds. We further propose that conservation measures to protect Ruffs must include the adequate management of sub-Saharan wetlands, based on a better understanding of the role of human-made rice fields for fuelling birds.

Carbon dynamics on agricultural land reverting to woody land in Ontario, Canada

The 2015 Paris Agreement reinforces the importance of the land sector and its contribution to greenhouse gas (GHG) reductions. Thus, there is growing interest in improving estimates of the GHG balance in response to land-use changes (LUCs) involving agriculture and forestry, for national-scale reporting, and for carbon (C) offsets. Large agricultural areas in Europe, Russia and North America are reverting to forest, either naturally or through planting, after abandonment of agricultural land, and this trend may have a substantial impact on carbon budgets. We report results of a pilot project in the Mixedwood Plains ecozone of eastern Canada to analyze the change in the C budget on a landscape over 15 years on abandoned cropland where woody vegetation is regenerating. Thirty-six plots (2 km × 2 km) with paired aerial photographs taken circa 1994 and circa 2008 at a scale of 1:10,000 or larger were randomly selected from the 20 km × 20 km National Forest Inventory (NFI) grid. A spatially-explicit version of the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) was used to estimate impacts of LUC on C stocks and fluxes. Polygons identifying areas of LUC within each photo plot were delineated, classified, and evaluated to provide input data for the model. The rate of C accumulation in our study area was found to be relatively constant over the entire simulation period, at 1.07 Mg C/ha/yr. Abandoned agricultural land reverting to woody lands could play an important role in regional and national C sequestration in Canada, but more research is required to quantify the areal extent of this LUC.

How effective is greening policy in reducing GHG emissions from agriculture? Evidence from Italy

Agriculture contributes significantly to greenhouse gas (GHG) emissions, accounting for more than 10% of total CO2 emissions in the EU-28 area. The Common Agricultural Policy (CAP) plays an important role in promoting environmentally and climate friendly practices and needs to respond to the new environmental challenges by better integrating its objectives with other EU policies.In this respect, the recent CAP reform 2014–2020 made a further step, making a large part of direct payments conditional on new agricultural practices beneficial for the climate and the environment, i.e. “greening”.In this study we estimate the potential environmental benefits from greening in terms of GHG emissions in four regions of Northern Italy, one of the major European agricultural areas in terms of emissions. The emissions were quantified and broken down into the three main GHGs (carbon dioxide, methane and nitrous oxide) per production process. This information was subsequently used in a Positive Mathematical Programming (PMP) farm-based model on more than 3,000 farms, to estimate the effects of greening on regional land use and its contribution in reducing the total emissions.The new agri-environmental constraints produce a modest abatement of total emissions of greenhouse gases (−1.5%) in the analyzed area. The model estimates a reduction in CO2 emissions of about 2%. Emissions from nitrous oxide show a decrease of 2.1% and the reduction in the methane is about 0.4% compared to the observed scenario. The process of “lightening” that affected the greening during the CAP negotiation has inevitably resulted in missing an opportunity to introduce a significant positive change of behaviour into agriculture, in line with the expectations and needs of society for EU agriculture as a provider of public goods.

Lessor’s Status in Land Consolidation in Europe – Reports From Cyprus, Finland, France, Germany, the Netherlands, Latvia and Estonia

Abstract The purpose of this research was to investigate a landowner’s status as a lessor in land consolidation on agricultural areas in Europe. The research was based on surveys designed for land consolidation experts from Cyprus, Finland, France, Germany, the Netherlands, Latvia, Estonia and statistical data of the areas. The lease of agricultural land is common in Europe. However, there are differences related to how common the lease is and what the rental value of land is. The variation is based on factors such as differences in the markets, historical development of the agricultural lands and current legislation. The lessors have rights as landowners in land consolidation, but in case the land is used by third parties, lessor’s status is more limited compared to other landowners’. Similarly the costs of land consolidation typically are paid by landowners, not by users. The lessors are commonly indifferent and suspicious about the land consolidation. They are occasionally suspicious, especially before or at the beginning of the process, but later on they seem to be less suspicious. The lessors’ experience of land consolidation is based commonly on a fear of additional costs for their investment.

Ecological restoration of rich fens in Europe and North America: from trial and error to an evidence‐based approach

Fens represent a large array of ecosystem services, including the highest biodiversity found among wetlands, hydrological services, water purification and carbon sequestration. Land-use change and drainage has severely damaged or annihilated these services in many parts of North America and Europe; restoration plans are urgently needed at the landscape level. We review the major constraints on the restoration of rich fens and fen water bodies in agricultural areas in Europe and disturbed landscapes in North America: (i) habitat quality problems: drought, eutrophication, acidification, and toxicity, and (ii) recolonization problems: species pools, ecosystem fragmentation and connectivity, genetic variability, and invasive species; and here provide possible solutions. We discuss both positive and negative consequences of restoration measures, and their causes. The restoration of wetland ecosystem functioning and services has, for a long time, been based on a trial-and-error approach. By presenting research and practice on the restoration of rich fen ecosystems within agricultural areas, we demonstrate the importance of biogeochemical and ecological knowledge at different spatial scales for the management and restoration of biodiversity, water quality, carbon sequestration and other ecosystem services, especially in a changing climate. We define target processes that enable scientists, nature managers, water managers and policy makers to choose between different measures and to predict restoration prospects for different types of deteriorated fens and their starting conditions.

Land selection for irrigation in Al-Andalus, Spain (8th century a.d.)

The Andalusi hydraulic systems of the Iberian Peninsula, constructed by Arabs and Berbers between a.d. 711 and the feudal conquest of Al-Andalus (11–15th centuries a.d.), are today among the most productive agricultural areas in Europe. Their current extension is the result of several enlargements made to the original Andalusi design, irrigating lands initially rejected by the first builders. Understanding the reasons that led Arabs and Berbers to select or reject lands for irrigation is essential for documenting the formation processes of these agricultural areas. Here the topic is approached using the hydraulic system of Ricote (Murcia, Spain) as a case study. Through hydraulic archaeology, excavations, and GIS, it is shown that deep, flat, well-insolated (i.e., exposed to sunlight), slightly saline, colluvial soils were preferred for irrigation while slopes, shady areas, floodplains, and highly saline soils were rejected. Optimizing the water supply for irrigation was not a top priority. The results highlight the need to consider topographical features when studying how past agrarian societies introduced irrigated agriculture to new environments.