Economic Analysis of Summer Fallow Management to Reduce Take-All Disease and N Leaching in a Wheat Crop Rotation

This paper addresses the question of summer cover-crop adoption by farmers in presence of a risk of yield loss due to take-all disease and climate variability. To analyze the public incentives needed to encourage farmers to adopt summer cover crops as a means of reducing N leaching, we combine outputs from an economic, an epidemiological and an agronomic model. The economic model is a simple model of choice under risk. The farmer is assumed to choose among a range of summer fallow managements and input uses on the basis of the expected utility criterion (HARA assumption) in presence of both climate and take-all risks. The epidemiological model proposed by Ennaïfar et al. (Eur J Plant Pathol 118:127–143, 2007) is used to determine the impact of take all on yields and N uptake. The crop-soil model (STICS) is used to compute yield developments and N leaching under various management options and climatic conditions. The input parameters are chosen to match the conditions prevailing in Grignon, located in the main wheat-growing area in France. Eight management systems are examined: four summer fallow managements: ‘wheat volunteers’ (WV), ‘bare soil’ (BS), ‘early mustard’, ‘late mustard’, and two input intensities. We show that the optimal systems are BS (WV) when the take-all risk is (not) taken into account by agents. We then compute the minimum payment to each system such that it emerges in the optimum. We thus derive the required amounts of transfer needed to trigger catch-crop adoption. The results of the Monte Carlo sensitivity analysis show that the ranking of management systems is robust over a wide range of input parameters.     

Development of Insoluble PVA Electrospun Nanofibers Incorporating R-Limonene or β-Cyclodextrin/R-Limonene Inclusion Complexes

Journal of Polymers and the Environment - Electrospinning of water-soluble polymers is considered a green process for encapsulating active compounds in polymeric nanofibers, but generally the...     

Recycling extruded polystyrene by dissolution with suitable solvents

The amount of extruded polystyrene (XPS) waste has increased in recent years due to the increase of its use in the thermal insulation of buildings, transport vehicles, and refrigerators, among others. Dissolution with suitable solvents to achieve a volume reduction of more than 100 times without degradation of polymer chains is one of the cheapest and most efficient methods of recycling XPS. Several environmentally friendly solvents have been tested as dissolution agents for XPS volume reduction; the action of these solvents does not produce any degradation of polymer chains. The solubility of the polymer in such solvents at different temperatures was investigated. The solvent can be easily recycled by distillation, obtaining a high-quality recycled polymer. Chemical Feedstock Recycling & Other Innovative Recycling Techniques 6     

Cardanol Polymerization Under Acid Conditions By Addition And Condensation Reactions

Cashew nut shell liquid (CNSL) is a byproduct of the cashew nut industry and consists predominantly of phenolic compounds that have an side chain with different degrees of unsaturation. Cardanol, one of these components, is biodegradable and widely available. Studies have revealed several polymerization reactions involving cardanol. However, the mechanisms and detailed structures of polymerization reactions have not been explored, although the final product shows different applications. In this work, we evaluated the mechanism and the products structure of the reaction of cardanol with: (i) boron trifluoride diethyl etherate (BF₃O(CH₂CH₃)₂), and (ii) formaldehyde. The characterizations were performed by FTIR, ¹H NMR, SEC and TGA. The results show that the reaction of cardanol with aldehyde produces the expected like-comb structure with a long hydrocarbon pendent chain. Nevertheless, the reaction of cardanol with BF₃O(CH₂CH₃)₂ can exhibits a more complex structure since it was identified aromatic ring linkages, besides the expected polymerization through C=C.     

Primary and secondary organic winter aerosols in Mediterranean cities under different mixing layer conditions (Barcelona and Granada)

Environmental Science and Pollution Research - PM10 was collected during an EMEP winter campaign of 2017–2018 in two urban background sites in Barcelona (BCN) and Granada (GRA), two...     

Daily patterns of energy storage in food-caching birds under variable daily predation risk: a dynamic state variable model

Accumulating and maintaining sufficient energy reserves is critical for winter survival of birds. Because high fat levels are assumed to be associated with higher risk of predation, birds have been hypothesized to regulate their body mass as a trade-off between risk of starvation and risk of predation. Theoretical models of energy management in birds typically assume that predation risk is constant throughout the day. However, this important assumption has little empirical support, and there is some evidence suggesting that it might not always be correct and that predation risk may vary during the day. Because predation risk is a critical component of the predation-starvation trade-off, any change in its value through the day might have a profound effect on birds' optimal daily tactics of energy accumulation. We used a dynamic optimization model to investigate how changes in predation risk might affect birds' energy management decisions. Daily patterns of fat accumulation and feeding activity were predicted to change with predation risk in a manner consistent with previous models (lower mass gain and less feeding when predation risk is high). Our more counterintuitive results concern daily patterns of food caching and cache retrieval. When predation risk was assumed to peak at midday, birds were predicted to cache primarily in the afternoon and not in the morning even though predation risk was identical in the morning and afternoon. With other temporal patterns of predation risk, caching intensity was highest when predation risk was lowest. Surprisingly, the daily pattern of cache retrieval was predicted to be unaffected by daily patterns of predation risk: birds were always predicted to retrieve their caches primarily during the late afternoon with a small peak in the morning. Highest mortality was predicted with predation risk decreasing from morning to evening whereas lowest mortality was predicted with predation risk increasing from morning to evening. Our model helps explain large variations in observed daily patterns of energy management in birds and provides testable predictions that could help us understand the daily dynamics of predation risk and how birds should respond to it.