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• We quantify different ecological indicators and obtain ecological security pattern and key regions. • Landscape connectivity is used to identify priority protected areas that meet future requirements. • We quantify the effectiveness of existing protected areas and identify isolated protected areas. • Future conservation measures are proposed from the perspectives of different priority conservation areas. Protected areas (PAs) play a key role in mitigating ecological crises. Currently, priority protected areas (PPAs) focus on biological conservation, and a few studies have considered the connectivity between patches. Few studies have formulated future conservation measures from the two dimensions of ecological security pattern (ESP) and reserve effectiveness. To fill this gap, this study considered the use of the ESP to identify areas that meet future conservation objectives. We take the Wuhan metropolitan area as the research area. We constructed a framework for formulating conservation development plans based on priority protected areas. The framework constructed a complete method system, and we focused on the construction of the evaluation index system based on landscape connectivity. Then, the effectiveness of the PAs could be evaluated, and the PPAs could be identified. The results showed that there were five isolated PAs among the existing PAs. Moreover, the total area of PPAs was 9328.91 km2, and they had high connectivity and ecological value. Due to the low protection rate of PPAs, PPAs are not the main protection target of PAs; thus, we take PPAs as a new area of future PAs. According to our plan, PPAs with different classes will achieve different functions in future protection work. Our framework focuses on achieving sustainable conservation and formulates new environmental protection and land planning measures to balance ecological conservation and urban development. It can provide key information to support the realization of the 2030 vision of sustainable development. [ABSTRACT FROM AUTHOR]

Background and Objectives: The objective was to determine whether serum uric acid concentrations were associated with metabolic syndrome in a population from Wuhan.Methods and Study Design: 5,628 subjects (2,838 men, 2,790 women) aged 18-80 years were recruited in Wuhan, China. Biochemical parameters of venous blood were measured by standard methods and metabolic syndrome was defined by Chinese Diabetes Society criteria. Association analysis was performed by logistic regression.Results: 8.2% of the included subjects were confirmed as having metabolic syndrome and 14.4% were confirmed as having hyperuricemia. After multivariable adjustment, logistic regression showed the odds ratios of metabolic syndrome for subjects in the highest quartile of serum uric acid concentration was 2.84 (95% CI: 2.09-3.86) compared with those in the lowest quartile and no gender difference was found. For each component of metabolic syndrome, subjects in the highest quartile of serum uric acid concentrations had increased multivariable odds ratios for high BMI (OR: 3.29, 95% CI: 2.71-3.98), for hypertension (OR: 3.54, 95% CI: 2.93-3.86), for dyslipidemia (OR: 2.49, 95% CI: 1.98-3.14), but not for hyperglycemia (OR: 1.21, 95% CI: 0.87-1.67).Conclusions: Odd ratio of metabolic syndrome was significantly positively associated with serum uric acid concentration among the present sample of 5,628 subjects in Wuhan. [ABSTRACT FROM AUTHOR]