Fiber-based actuator driven by water or moisture with excellent cyclic stability for energy harvesting and smart controller applications.

China is now the world's biggest emitter of greenhouse gases with 7467 million tons (Mt) carbon dioxide equivalent (CO 2 e) in 2005, with agriculture accounting for 11% of this total. As elsewhere, agricultural emissions mitigation policy in China faces a range of challenges due to the biophysical complexity, the heterogeneity of farming systems, and social-economic barriers. Existing research has contributed to improving our understanding of the technical potential of mitigation measures in this sector (i.e. what works). But for policy purposes it is important to convert these measures into a feasible economic potential, which provides a perspective on whether agricultural emissions reduction measures are low cost relative to mitigation measures and overall potential offered by other sectors of the economy. We develop a bottom-up marginal abatement cost curve (MACC) representing the cost of mitigation measures applicable in addition to business-as-usual agricultural practices. The MACC demonstrates that while the sector can offer a maximum technical mitigation potential of 402 MtCO2e in 2020, of which a reduction of 135 MtCO2e is potentially available at zero or negative cost (i.e. a cost saving), and 176 MtCO2e (approximately 44% of the total) can be abated at a cost below a threshold carbon price of ¥ 100 (approximately €12) per tCO2e. Our findings highlight cost-effectiveness of nitrogen fertilizer and manure best management practices, and animal breeding practices. We outline the assumptions underlying MACC construction and discuss some scientific, socioeconomic and institutional barriers to realizing the indicated levels of mitigation.

The assembly of a fluorescent dicarboxylate ligand with a barium ion resulted in the formation of a 3D metal-organic framework, Ba5(ADDA)5(EtOH)2(H2O)3·5DMF (UPC-17), based on a 1D rod-shaped secondary building unit. The unprecedented solvent-dependent sensitivities of UPC-17 for the detection of Fe(3+)/Al(3+) ions and 4-nitrophenol with high efficiency were observed for the first time. Significantly, UPC-17 exhibits superior "turn-off" detection for the Fe(3+) ion in methanol and acetone emulsions but shows "turn-on" detection in tetrahydrofuran emulsion. Furthermore, the visible color changes in the detection process make them easy to distinguish by the naked eye, which further increases its application potential.

Assessment of agricultural vulnerability to climate change is a prerequisite for developing effective adaptation options and strategies for the future. While assessment approaches vary across sectors and countries, there is a need to devise an effective method to assess agricultural vulnerability and provide information to policy-makers and stakeholders so that they can take appropriate adaptation actions. Agricultural vulnerability is analyzed as a function of exposure, sensitivity and adaptive capacity using a multi-indicator approach. Spatial and temporal assessment is undertaken through constructing maps of agricultural vulnerability in China. The results indicate that using multiple indicators is very practical for assessing agricultural vulnerability and that agricultural vulnerability is already significant in Guizhou, Guangxi and Yunnan provinces in China and will become more serious in the 2040s. It was also found that adaptive capacity was generally underdeveloped in poor regions, such as Guizhou, Yunnan and Gansu. We recommend that policy-makers increase investment in improving irrigation infrastructure and provide more opportunities for the education of farmers and stakeholders together with developing the economy in vulnerable areas.

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