Adaptation to Quantitative Regulation of Agricultural Water Resources: Mosaic Cropping Pattern and Rotational Irrigation in China

Quantitative regulation of agricultural water resources (QRW) is an effective means of reducing water demand and sustaining water development. Few studies, however, have investigated the mechanism underlying a region’s adaptation to QRW. In this study, we first establish an adaptive mechanism framework which incorporates rotational irrigation and cropping patterns a means of solving the problems of inefficiency, inequality and costly coordination that result from adaptation to QRW. Next, in order to examine the applicability of the theoretical framework, we refer to the case study of Xuwen County, Guangdong Province, China, where QRW was implemented by the Central Government in 2011. We find that a mosaic cropping pattern can enable rotational irrigation on a regional scale, which can cost-effectively mitigate the problems of inefficiency and inequitable allocation caused by QRW. We find that a diverse cropping pattern can provide a form of spatial rotational irrigation that requires less water than the temporal rotational irrigation required for a heterogeneous cropping pattern. Our findings have implications for irrigated agriculture and water resource conservation; they reveal that it is possible to decouple agricultural water supplies from crop growth through the implementation of QRW

Social capital, institutional change, and adaptive governance of the 50-year-old Wang hilltop pond irrigation system in Guangdong, China

This study investigated a community-managed irrigation system, the Wang hilltop pond irrigation system (WHPIS) in Guangdong, China. Via a field survey and case study, this paper describes the WHPIS’s two-stage process of evolutionary governance since the 1960s. First, it explains how the WHPIS achieved 50 years of successful self-governance and robust operation. Then, based on the requirements for adaptive governance outlined by Dietz et al. (2003), it addresses how the WHPIS, when faced with a climate-anomaly, has achieved robustness through institutional change. It finds that with strong social capital based on lineage events, the community, working in partnership with the local government, collectively revised investment, maintenance, and water distribution rules, and developed a new patroller rule. These new rules were effectively enforced by the community through social capital, which enabled the WHPIS to adapt to the climate anomaly. Last, this study concludes that a long-term self-governing irrigation system disturbed by abrupt change can be restored to a robust state via institutional measures enabling adaptive governance. Strong social capital enables a community to absorb the external power from the local government and internalize it, enforce incremental rule changes, and efficiently achieve a robust irrigation system subject to adaptive governance

Draft genome sequence of the mulberry tree Morus notabilis

Human utilization of the mulberry–silkworm interaction started at least 5,000 years ago and greatly influenced world history through the Silk Road. Complementing the silkworm genome sequence, here we describe the genome of a mulberry species Morus notabilis. In the 330-Mb genome assembly, we identify 128 Mb of repetitive sequences and 29,338 genes, 60.8% of which are supported by transcriptome sequencing. Mulberry gene sequences appear to evolve ~3 times faster than other Rosales, perhaps facilitating the species’ spread worldwide. The mulberry tree is among a few eudicots but several Rosales that have not preserved genome duplications in more than 100 million years; however, a neopolyploid series found in the mulberry tree and several others suggest that new duplications may confer benefits. Five predicted mulberry miRNAs are found in the haemolymph and silk glands of the silkworm, suggesting interactions at molecular levels in the plant–herbivore relationship. The identification and analyses of mulberry genes involved in diversifying selection, resistance and protease inhibitor expressed in the laticifers will accelerate the improvement of mulberry plants

Application of adsorption potential theory in prediction of CO and CH adsorption on carbon molecular sieves

The adsorption of CO 2 and CH 4 on carbon molecular sieves was studied based on the adsorption potential theory, which is widely used in gas adsorption on microporous adsorbents. The methods to obtain the adsorption density in the adsorbed phase, including Ozawa’s method and the empirical method, and the methods to calculate the virtual saturation vapor pressure, including Dubinin’s method and Amankwah’s method, were discussed. A functional exponential form proposed in this study could describe the adsorption characteristic curve better than the cubic polynomial and logarithmic function used in the previous literature. A new model, which expresses the correlation of adsorbed amount, temperature, and pressure, was proposed and verified experimentally. The model provides a reliable way to predict the adsorption isotherms of CO 2 and CH 4 on carbon molecular sieves at different temperatures according to the data measured at a certain temperature and to select a proper kind of carbon molecular sieve in CO 2 /CH 4 separation

Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

Abstract Computational super-resolution methods, including conventional analytical algorithms and deep learning models, have substantially improved optical microscopy. Among them, supervised deep neural networks have demonstrated outstanding performance, however, demanding abundant high-quality training data, which are laborious and even impractical to acquire due to the high dynamics of living cells. Here, we develop zero-shot deconvolution networks (ZS-DeconvNet) that instantly enhance the resolution of microscope images by more than 1.5-fold over the diffraction limit with 10-fold lower fluorescence than ordinary super-resolution imaging conditions, in an unsupervised manner without the need for either ground truths or additional data acquisition. We demonstrate the versatile applicability of ZS-DeconvNet on multiple imaging modalities, including total internal reflection fluorescence microscopy, three-dimensional wide-field microscopy, confocal microscopy, two-photon microscopy, lattice light-sheet microscopy, and multimodal structured illumination microscopy, which enables multi-color, long-term, super-resolution 2D/3D imaging of subcellular bioprocesses from mitotic single cells to multicellular embryos of mouse and C. elegans