Abstract
A mixture of cyclohexyl methyl ethers was prepared from Kraft lignin pyrolysis oil for use as a biomass-derived aliphatic solvent.
Highlights
The ever-growing world population and the rapidly approaching planetary boundaries have led to widespread discussion and consensus on the urgent need for the field of agriculture to gear toward sustainability-oriented initiatives (Giovannucci et al, 2012; Herrero and Thornton, 2013; food and agriculture organization (FAO), 2017; Pretty et al, 2018)
In a context of using water resources as pivot to achieve agricultural sustainability, the common denominator we identified above, this metaknowledge is known as Hydroinformatics (Abbott, 1999)
In line with the new architecture of the Decision Support System for Agrotechnology Transfer (DSSAT) cropping system model presented in Jones et al (2003), the framework imposes a modular structure in which components separate along scientific discipline lines; it is structured to allow easy replacement or addition of components or sub-components, and enable greater cooperation in interdisciplinary research and in the application of knowledge to solve problems at all levels
Summary
The ever-growing world population and the rapidly approaching planetary boundaries have led to widespread discussion and consensus on the urgent need for the field of agriculture to gear toward sustainability-oriented initiatives (Giovannucci et al, 2012; Herrero and Thornton, 2013; FAO, 2017; Pretty et al, 2018). Several efficiency-based techniques and approaches aligned with the knowledge management function and the sociotechnical dimension of hydroinformatics have been proposed and applied to address the problem of agricultural water resources sustainability These include: the IWRM concept (GWP, 2000; Furlong et al, 2015); the conjunctive use of surface water and groundwater resources (Singh, 2014); novel irrigation management systems (Sandler et al, 2004; Evans and Sadler, 2008; Gumiere et al, 2014; Pelletier et al, 2015; Vanderleest et al, 2016; Caron et al, 2017; Bjornlund and Bjornlund, 2019); and minimization of food waste and losses (Kummu et al, 2012; Pretty et al, 2018; Bjornlund and Bjornlund, 2019; among others). Thereby, hydroinformatics represents a prospective enabler of stakeholders engagement to achieve sustainable agriculture It is exactly this persuasive knowledge-management purpose that Abbott (1999) had anticipated, and must be fulfilled by hydroinformatics in order to realize its full sociotechnical potential, in sustainable agriculture (DiSalvo et al, 2010; El Bilali and Allahyari, 2018). The objective of this section is not to demonstrate the applicability of the framework, but only to propose a blueprint on how to develop it; section 4 discusses opportunities and challenges associated with the implementation of agricultural hydroinformatics; and section 5, before summarizing and concluding, discusses the development of new research areas to achieve the full potential of this emerging framework
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