Life cycle assessment of a highly diverse vegetable multi-cropping system in Fengqiu County, China

Agricultural biodiversity usually leads to greater sustainability in production practices. To understand the environmental implications of the development of village-level multi-cropping in rural China, we compared the environmental impact of a highly diverse vegetable multi-cropping system to a conventional wheat/maize rotation system based on the method of life cycle assessment (LCA). Using household level cultivation data, this study examined the gate-to-gate environmental impacts of on-site cultivation practices relating to the production of 10,000 nutrient equivalent units. Results show that vegetable multi-cropping resulted in decreased average land requirement, and diesel, water and electricity usage by 69.8%, 62.2%, 71.7%, and 63.4%, respectively, while average nitrogen (Total N), phosphorus (P2O5), and potassium (K2O) usage in vegetable multi-cropping systems decreased by 16.3%, 42.1%, and 75.8%, respectively. Additional corresponding effects led to a decrease in the total global warming, eutrophication, and acidification potentials from external inputs by 21.6%, 16.7%, and 16.2% of the entire system, respectively. Moreover, the midpoint human toxicity potential from pesticide usage of the vegetable multi-cropping system was lower than that of the conventional system. However, the midpoint eco-toxicity potential from pesticide usage was higher due to certain highly toxic substances, and both human and eco-toxicity potentials from heavy metals were all higher by a few orders of magnitudes. Thus, to mitigate these detrimental consequences, some related measures are proposed for sustainable practices in the future implementation of multi-cropping systems

Developing pathways to improve smallholder agricultural productivity through ecological intensification technologies in semi-arid Limpopo, South Africa

Agriculture faces an enormous global challenge of feeding nine billion people by 2050. This means a comprehensive intensification of agriculture is required. Ecological intensification is gaining momentum as a clearly defined vision for increasing agriculture productivity and sustainability. How ecological intensification could be tailored to benefit smallholder farming systems in sub Saharan Africa (SSA) remains the major question. In this study, we develop pathways relying on ecological intensification technologies and suiting different farm types of smallholder agriculture. This study relies on multiyear engagements with agricultural experts and smallholder farmers in Ha Lambani, South Africa and leads to the identification of farmer groupings. We analyse 40 in-depth semi structured interviews with farmers which leads to the identification of farming patterns and constraints. We present how farming systems analysis of challenges and constraints helps to identify and link specific ecosystem services with suitable ecological intensification options. We conclude that the expert-based classification of farmers offered a more contextualized representation of farming system heterogeneity, where tailored ecological intensification technologies could play a major role in improving agricultural productivity. Beyond this community, it emphasizes the need to consider farmers type heterogeneity as a strong decision parameter for targeting ecological intensification

Measurement of the cosmic ray spectrum above 4×10184{\times}10^{18} eV using inclined events detected with the Pierre Auger Observatory

A measurement of the cosmic-ray spectrum for energies exceeding $4{\times}10^{18}$ eV is presented, which is based on the analysis of showers with zenith angles greater than $60^{\circ}$ detected with the Pierre Auger Observatory between 1 January 2004 and 31 December 2013. The measured spectrum confirms a flux suppression at the highest energies. Above $5.3{\times}10^{18}$ eV, the "ankle", the flux can be described by a power law $E^{-\gamma}$ with index $\gamma=2.70 \pm 0.02 \,\text{(stat)} \pm 0.1\,\text{(sys)}$ followed by a smooth suppression region. For the energy ($E_\text{s}$) at which the spectral flux has fallen to one-half of its extrapolated value in the absence of suppression, we find $E_\text{s}=(5.12\pm0.25\,\text{(stat)}^{+1.0}_{-1.2}\,\text{(sys)}){\times}10^{19}$ eV.Comment: Replaced with published version. Added journal reference and DO