Is Fairtrade in commercial farms justifiable?: its impact on commercial and small-scale producers in South Africa

Fairtrade initially was limited to improving the lives of small-scale and peasant farmers, but later on it embraced commercial farmers, which attracted criticism. While there are a number of justifications for the Fairtrade organization's decision, there are authors who feel that meaningful “fair trade” cannot be achieved with the inclusion of commercial farms. This paper investigates the impact of Fairtrade on commercial farms and small-scale farmer cooperatives in South Africa. Fairtrade on South African commercial farms embraces a number of policy concerns related to land reform, BEE and sustainable development. The results of the study show that when commercial farms are included in the Fairtrade model, communities in which these farmers live benefit from developmental projects. In addition, in some instances, farm workers gain shares in the commercial farms, and benefit from the farm owners’ knowledge and capital

Solar energetic particle time series analysis with Python

Solar Energetic Particles (SEPs) are charged particles accelerated within the solar atmosphere or the interplanetary space by explosive phenomena such as solar flares or Coronal Mass Ejections (CMEs). Once injected into the interplanetary space, they can propagate towards Earth, causing space weather related phenomena. For their analysis, interplanetary in situ measurements of charged particles are key. The recently expanded spacecraft fleet in the heliosphere not only provides much-needed additional vantage points, but also increases the variety of missions and instruments for which data loading and processing tools are needed. This manuscript introduces a series of Python functions that will enable the scientific community to download, load, and visualize charged particle measurements of the current space missions that are especially relevant to particle research as time series or dynamic spectra. In addition, further analytical functionality is provided that allows the determination of SEP onset times as well as their inferred injection times. The full workflow, which is intended to be run within Jupyter Notebooks and can also be approachable for Python laymen, will be presented with scientific examples. All functions are written in Python, with the source code publicly available at GitHub under a permissive license. Where appropriate, available Python libraries are used, and their application is described.</p

Yield and Economic Performance of Organic and Conventional Cotton-Based Farming Systems – Results from a Field Trial in India

The debate on the relative benefits of conventional and organic farming systems has in recent time gained significant interest. So far, global agricultural development has focused on increased productivity rather than on a holistic natural resource management for food security. Thus, developing more sustainable farming practices on a large scale is of utmost importance. However, information concerning the performance of farming systems under organic and conventional management in tropical and subtropical regions is scarce. This study presents agronomic and economic data from the conversion phase (2007–2010) of a farming systems comparison trial on a Vertisol soil in Madhya Pradesh, central India. A cotton-soybean-wheat crop rotation under biodynamic, organic and conventional (with and without Bt cotton) management was investigated. We observed a significant yield gap between organic and conventional farming systems in the 1st crop cycle (cycle 1: 2007–2008) for cotton (229%) and wheat (227%), whereas in the 2nd crop cycle (cycle 2: 2009–2010) cotton and wheat yields were similar in all farming systems due to lower yields in the conventional systems. In contrast, organic soybean (a nitrogen fixing leguminous plant) yields were marginally lower than conventional yields (21% in cycle 1, 211% in cycle 2). Averaged across all crops, conventional farming systems achieved significantly higher gross margins in cycle 1 (+29%), whereas in cycle 2 gross margins in organic farming systems were significantly higher (+25%) due to lower variable production costs but similar yields. Soybean gross margin was significantly higher in the organic system (+11%) across the four harvest years compared to the conventional systems. Our results suggest that organic soybean production is a viable option for smallholder farmers under the prevailing semi-arid conditions in India. Future research needs to elucidate the long-term productivity and profitability, particularly of cotton and wheat, and the ecological impact of the different farming systems

Open-Source Analysis Platform for Solar Energetic Particles provided by SERPENTINE

The recently expanded heliospheric spacecraft fleet gives unique opportunities to investigate solar eruptive processes like coronal mass ejections (CMEs) and solar energetic particles (SEPs) from multiple viewpoints. But combining all these distinct observations from various instruments onboard different spacecraft is a bothersome task. To achieve maximal impact for exploitation of this data by the wider scientific community, the EU Horizon 2020 project SERPENTINE aims at providing a versatile set of tools. They are provided as open-source Python Jupyter Notebooks and are aimed at non well-versed programming scientists. Next to extensive examples on how to use the multi-spacecraft spatial configuration and solar magnetic connection plotter Solar-MACH, an analysis platform for studying the energetic particle component of the in-situ observations of SEP events has been developed. This analysis platform consists of plotting tools (e.g., energetic particle time series or dynamic spectra) as well as analysis software that allow to automatically derive SEP onsets or estimate the path length and injection time of these particles using a time-shift analysis approach. In this poster, we will give an overview on the already available set of tools and instructions on how to use them, which is also possible completely in the cloud on SERPENTINE’s own JupyterHub server