The spread of agriculture in south-eastern Europe: new data from North Macedonia

North Macedonia is a crucial region for understanding the spread of agriculture into the Mediterranean and Central Europe. To date, however, the area has been subject to relatively limited archaeological research. Here, the authors present use-wear and archaeobotanical analyses on material from two Neolithic sites, Govrelevo and Vrbjanska Čuka, to investigate practices that were previously unstudied in this part of the Balkans, such as sowing, cultivation and harvesting techniques. The results suggest the presence of permanent crop fields located in wetlands, with autumn and spring sowing, and harvesting using curved sickles. The study illuminates early agricultural practices in North Macedonia and adds to our knowledge of the spread of the Neolithic package across Europe.

Participatory Evaluation of Effectiveness of Farmer-Led Adaptation Strategies to Climate Change in Eastern Uttar Pradesh

India has shown high vulnerability towards the impact of climate change due to thedependency of 58 per cent of India’s population on agriculture. The study was carried on180 respondents in three districts selected randomly of eastern Uttar Pradesh to evaluatefarmer-led adaptation strategies to the impact of climate change, activities that arepredominantly led by farmers to make them more adaptable to long-term changes in weatherpatterns. All the respondents had experienced extreme climatic events in the last 5-10 years,making the region climate-prone. Nine farmers’-led adaptation strategies to climate changefollowed in crop farming were documented and quantified by using Climate ChangeAdaptation Index. Adaptation strategies were evaluated using the Quantification ofIndigenous Knowledge method (QuIK) method; by involving the key informants followedby peer farmers. Crop diversification, use of high yielding varieties of crops andpreparations of bunds to control water flow were the most preferred adaptation strategiesto climate change. The irregular rainfall increased the incidence of floods in eastern UttarPradesh; thus, the preparation of bunds to regulate water flow in crop fields was the mostefficient adaptation strategy.

The vascular flora ecological diversity in the mid-field woodlots situated on the agricultural outskirts of Wrocław

The paper presents an analysis of the ecological requirements and sociological-ecological relations of 403 species of vascular plants recorded in 82 mid-field woodlots located among crop fields in the agricultural outskirts of Wrocław. The aim of the research and analyses was to determine what is the species composition of these woodlots and whether they are ecologically more similar to those situated in environment of farmlands or urban wastelands. The authors assumed the latter. It was found that the mid-­ -field woodlots occupied less than 1% of arable land and were located exclusively in close proximity to the city’s administrative borders, and more than half of them were related to the hydrographic network of the area. Their flora, in general assessment, shows a great variety in terms of water requirements and has the features of woodlots described from typically agricultural areas. This applies to the dominance of forest, shrub and meadow species with a constant, usually not exceeding 20%, share of ruderal plants and a small number of weeds in crops. Thus, the assumption that the flora of the studied woodlots will show signs of ruderalization to a large extent has not been confirmed. 72% of species occurred in no more than 10 objects, which shows that the described ecological diversity of the flora studied is based on single or few locations. The most frequent species were nitrophilic and in over 50% they represented a group of shrub communities. The list of the species recorded with estimation of their frequency is provided.

Observations on the foraging behavior of Tricoloured Munia Lonchura malacca (Linnaeus, 1766) and its interaction with pearl millet fields in Villupuram District, Tamil Nadu, India

Study of foraging behaviour of Tricoloured Munia Lonchura malacca and its interaction in pearl millet crop fields was conducted in six villages of Tindivanam taluk, Villupuram district, Tamil Nadu from April to June 2020. A total of six flocks containing 1,640 birds of Tricoloured Munia were enumerated. The number of birds per flock varied from 60 to 800. They never split into small flocks and maintained the same flock size throughout the day. Tricoloured Munias used nine plant species for roosting. Twelve quadrats (0.3 ha) each of 5 m x 5 m size were laid in the pearl millet fields covering six villages. A total of 10,295 spikes were counted in these plots, and of these 3,785 spikes (36.7%) were found damaged by foraging munias. The maximum damage of 99.6% was observed in Thenputhur village. Along with Tricoloured Munia, five other granivorous birds, such as Baya Weaver Ploceus philippinus, Indian Silverbill Euodice malabarica, Common Babbler Turdoides caudata, Rose-ringed Parakeet Psittacula krameri, and White-rumped Munia Lonchura striata were also found foraging without any inter-specific competition. Farmers adopted various traditional bird repellent techniques such as beating utensils, throwing pebbles/soil on the crop, placing scarecrows, tying multi-coloured ribbons, and hanging bottles to chase the birds away.

Simple and Two-Level Hierarchical Bayesian Approaches for Parameter Estimation with One- and Two-Layer Evapotranspiration Models of Crop Fields

The two-layer Shuttleworth–Wallace (SW) evapotranspiration (ET) model has been widely used for predicting ET with good results. Since the SW model has a large number of specific parameters, these parameters have been estimated using a simple non-hierarchical Bayesian (SB) approach. To further improve the performance of the SW model, we aimed to assess parameter estimation using a two-level hierarchical Bayesian (HB) approach that takes into account the variation in observed conditions through the comparison with a traditional one-layer Penman–Monteith (PM) model. The difference between the SB and HB approaches were evaluated using a field-based ET dataset collected from five agricultural fields over three seasons in Myanmar. For a calibration period with large variation in environmental factors, the models with parameters calibrated by the HB approach showed better fitting to observed ET than that with parameters estimated using the SB approach, indicating the potential importance of accounting for seasonal fluctuations and variation in crop growth stages. The validation of parameter estimation showed that the ET estimation of the SW model with calibrated parameters was superior to that of the PM model, and the SW model provided acceptable estimations of ET, with little difference between the SB and HB approaches.

Quantifying the influence of management strategies on surface radiation budgets and energy patterns in tea fields

The surface energy balance from canopy to landscape scales in crop fields plays an essential role in surface-atmosphere interactions, and it is strongly influenced by the management strategies and field practices of farmers. To characterize how different agricultural practices of farmers affect the microenvironment in perennial crop fields, long-term observation of the radiation budget and energy components under different field practices was undertaken in two neighboring tea fields with different management strategies (a conventional operation and an organic-certified field managed by different farmers) in northern Taiwan. The results showed that the difference in the radiation budget in these two tea fields was minor (only 1% for net radiation), but the differences in the energy components were more significant (sensible heat was 10% lower and latent heat was 25% higher in the organic-certified field than in the conventional field) due to highly distinct practices in these two fields. This finding implies that the organic-certified application could lower the partitioning of sensible heat flux and increase the latent heat flux, thereby reducing the temperature variation and decreasing the vapor pressure deficit. The organic-certified field reduced the surface heating in terms of the long-term energy patterns. This study’s findings also indicate that field practices in conventional field can increase the sensible heat flux (51.5% at noon time) on short-term time scales, compared with only 9.6% in organic-certified field. Furthermore, this study offers a comprehensive understanding of tea field practices, a scientific basis for in-field water conservation, and a quantitative analysis for modeling from micro to regional scales.

Improvement of the Soil Moisture Retrieval Procedure Based on the Integration of UAV Photogrammetry and Satellite Remote Sensing Information

In countries characterized by arid and semi-arid climates, a precise determination of soil moisture conditions on the field scale is critically important, especially in the first crop growth stages, to schedule irrigation and to avoid wasting water. The objective of this study was to apply the operative methodology that allowed surface soil moisture (SSM) content in a semi-arid environment to be estimated. SSM retrieval was carried out by combining two scattering models (IEM and WCM), supplied by backscattering coefficients at the VV polarization obtained from the C-band Synthetic Aperture Radar (SAR), a vegetation descriptor NDVI obtained from the optical sensor, among other essential parameters. The inversion of these models was performed by Neural Networks (NN). The combined models were calibrated by the Sentinel 1 and Sentinel 2 data collected on bare soil, and in cereal, pea and onion crop fields. To retrieve SSM, these scattering models need accurate measurements of the roughness surface parameters, standard deviation of the surface height (hrms) and correlation length (L). This work used a photogrammetric acquisition system carried on Unmanned Aerial Vehicles (UAV) to reconstruct digital surface models (DSM), which allowed these soil roughness parameters to be acquired in a large portion of the studied fields. The obtained results showed that the applied improved methodology effectively estimated SSM on bare and cultivated soils in the principal early growth stages. The bare soil experimentation yielded an R2 = 0.74 between the estimated and observed SSMs. For the cereal field, the relation between the estimated and measured SSMs yielded R2 = 0.71. In the experimental pea fields, the relation between the estimated and measured SSMs revealed R2 = 0.72 and 0.78, respectively, for peas 1 and peas 2. For the onion experimentation, the highest R2 equaled 0.5 in the principal growth stage (leaf development), but the crop R2 drastically decreased to 0.08 in the completed growth phase. The acquired results showed that the applied improved methodology proves to be an effective tool for estimating the SSM on bare and cultivated soils in the principal early growth stages.