Evaluating adoption of climate smart agricultural practices among farmers in the Fujian Province, China.

This study examined the adaptation level of climate-smart agricultural (CSA) practices among the farmers and the factors influencing the adoption of CSA practices in the Fujian Province, China. In this study, questionnaire survey data was analyzed, and 600 respondents were randomly selected as sample through randomly sampling technique. Descriptive statistics, adoption level index (ALI), and binary logit model were used for data analyses.

The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.

The sustainable development of collection and delivery points and urban street network is an important consideration of logistic planners. Urban street networks have a significant impact on collection and delivery points' location, but the spatial relationship between the centrality of urban street network and collection and delivery points has not been studied using spatial design network analysis. In a multiple centrality assessment model, we used point of interest and street network data to evaluate the location of two types of collection and delivery points and the centrality of streets in Nanjing city, based on four indicators: closeness, betweenness, severance, and efficiency.

Estimation of aboveground and belowground carbon stocks in urban freshwater wetlands of Sri Lanka.

Background: The occurrence of climate change at an unprecedented scale has resulted in alterations of ecosystems around the world. Numerous studies have reported on the potential to slow down climate change through the sequestration of carbon in soil and trees. Freshwater wetlands hold significant potential for climate change mitigation owing to their large capacity to sequester atmospheric carbon dioxide (CO).