Search

Accurately identifying the patterns of evolution in farmland plays an important role in optimizing farmland management. The aim of this study is to classify the evolution patterns of farmland in China and explore related mechanisms, providing a reference for constructing a systematic farmland management plan. Using land cover data from five periods in China, nine types of farmland evolution process are described and identified based on landscape process models. We analyzed these processes’ spatiotemporal dynamics and, by examining regional variations, achieved a zoned mapping of China’s farmland evolution. In this study, we combined natural and socioeconomic factors to analyze the mechanisms driving the evolution of farmland landscapes in China. The results indicated that from 1980 to 2020, areas of both lost and restored farmland showed a trend of first increasing and then decreasing, while the total area of farmland fluctuated. The remaining farmland types consisted mainly of core and edge. Their distribution was similar to that of the major agricultural regions in China. Expansion was the main means of farmland restoration. Farmland fragmentation was widespread, and, over time, it became increasingly severe. Shrinkage and subdivision dominated the farmland fragmentation. Altitude and slope had the greatest impact on the evolution patterns of farmland. Increasing urban industrialization and an increase in population density led to an increase in the demand for food production, which placed greater demands on the farmlands in the region. The farmland evolution pattern is a result of the interactions among multiple factors.

The ecological quality of large-scale farms is a critical determinant of crop growth. In this paper, an ecological assessment procedure suitable for agricultural regions should be developed based on an improved remote sensing ecological index (IRSEI), which introduces an integrated salinity index (ISI) tailored to the salinized soil characteristics in farming areas and incorporates ecological indices such as the greenness index (NDVI), the humidity index (WET), the dryness index (NDBSI), and the heat index (LST). The results indicate that between 2013 and 2022, the mean IRSEI increasing from 0.500 in 2013 to 0.826 in 2020 before decreasing to 0.646 in 2022. From 2013 to 2022, the area of the farm that experienced slight to significant improvements in ecological quality reached 1419.91 km2, accounting for 71.94% of the total farm area. An analysis of different land cover types revealed that the IRSEI performed more reliably than did the original RSEI method. Correlation analysis based on crop yields showed that the IRSEI method was more strongly correlated with yield than was the RSEI method. Therefore, the proposed IRSEI method offers a rapid and effective new means of monitoring ecological quality for agricultural planting areas characterized by soil salinization, and it is more effective than the traditional RSEI method.

Endocrine and exocrine functions of the pancreas control nutritional absorption, utilisation and systemic metabolic homeostasis. Under basal conditions, the lysosome is pivotal in regulating intracellular organelles and metabolite turnover. In response to acute or chronic stress, the lysosome senses metabolic flux and inflammatory challenges, thereby initiating the adaptive programme to re-establish cellular homeostasis. A growing body of evidence has demonstrated the pathophysiological relevance of the lysosomal stress response in metabolic diseases in diverse sets of tissues/organs, such as the liver and the heart. In this review, we discuss the pathological relevance of pancreatic lysosome stress in diabetes mellitus. We begin by summarising lysosomal biology, followed by exploring the immune and metabolic functions of lysosomes and finally discussing the interplay between lysosomal stress and the pathogenesis of pancreatic diseases. Ultimately, our review aims to enhance our understanding of lysosomal stress in disease pathogenesis, which could potentially lead to the discovery of innovative treatment methods for these conditions.

Objective To investigate the effect of salidroside (SAL) on the proliferation and migration of human vascular endothelial cell line EA.hy926. Methods The cells were divided into control group and test groups of 1,10 and 100 nmol/L SAL, 10 nmol/L SAL+2 μg/mL avastin (vascular endothelial growth factor(VEGF) blocker) group, 10 nmol/L SAL+2 μg/mL IgG (blocker negative control) group, 10 nmol/L SAL+8 μg/mL avastin group, 10 nmol/L SAL+8 μg/mL IgG group, 10 μmol/L YC-1[hypoxia inducible factor-1α(HIF-1α) blocker] group and 10 μmol/L YC-1+10 nmol/L SAL group. The proliferation and migration of EA.hy926 cells were detected by MTS assay and Transwell cell migration experiments. RT-qPCR and Western blot were used to measure the gene and protein level of HIF-1α and VEGF. The luciferase report gene experiment was used to find the effect of SAL on HIF-1α transcription activity of EA.hy926 cells.The guanylate cyclase activator (YC-1) was used as a HIF-1α blocker to verify potential effect of SAL on the expression of VEGF through HIF-1α. Results SAL significantly promoted proliferation of EA.hy926 cells (P＜0.05)and the proliferation promoting effect of SAL(10 nmol/L) was significantly reduced by the VEGF blocker bevacizumab avastin(2 μg/mL) (P＜0.05). SAL significantly promoted migration of EA.hy926 cells (P＜0.05), and this effect was significantly inhibited by avastin(8 μg/mL)(P＜0.05). SAL increased the expression of HIF-1α and VEGF gene and protein, and promoted the transcription of HIF-1α (P＜0.05).The level of HIF-1α and VEGF protein decreased by YC-1, a HIF-1α blocker(P＜0.05). Conclusions HIF-1α/VEGF pathway is potentially involved in SAL promoted proliferation and migration of EA.hy926 cells.