Quantitative assessments have long been used to evaluate the condition of the natural environment, providing information for standard setting, adaptive management, and monitoring. Similar approaches have been developed to measure environmental governance, however, the end result (e.g., numeric indicators) belies the subjective and normative judgments that are involved in evaluating governance. We demonstrate a framework that makes this information transparent, through an application of the Freshwater Health Index in three different river basins in Latin America. Water Governance is measured on a 0-100 scale, using data derived from perception-based surveys administered to stakeholders. Results suggest that water governance is a primary area of concern in all three places, with low overall scores (Guandu-26, Alto Mayo-38, Bogotá-43). We conclude that this approach to measuring governance at the river basin scale provides valuable information to support monitoring and decision making, and we offer suggestions on how it can be improved.
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http://dx.doi.org/10.1007/s13280-020-01407-8 | DOI Listing |
J Environ Manage
December 2024
School of Business Administration, Chongqing Vocational College of Light Industry, Chongqing, 400065, China. Electronic address:
Green technology innovation (GTI) breaks the vicious cycle of "economic development-environmental pollution," mitigating the supply chain carbon emissions. Previous research focused on exploring supply chain GTI decision-making in the discrete strategy space and ignored the effect of stochastic factors. This paper, grounded in the classical evolutionary game theory, explores the interaction mechanism of supply chain GTI decision-making between suppliers and manufacturers under stochastic interferences and in the continuous strategy space.
View Article and Find Full Text PDFMol Divers
December 2024
State Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang, 550025, China.
Pyridazine and pyridazinone belong to the same group of six-membered heterocyclic compounds, and both structurally feature two adjacent nitrogen atoms. Pyridazine and pyridazinone derivatives are frequently used as core structures in the development of new green agrochemicals due to their high activity and environmental friendliness, attracting significant attention from researchers in recent years. Over the past 20 years, significant developments have occurred in the field of pyridazine and pyridazinone derivatives, which exhibit insecticidal, fungicidal, herbicidal, antiviral, and plant growth regulating activities.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
School of Management, Shanxi Medical University, Taiyuan, China.
Importance: Blinding of individuals involved in randomized clinical trials (RCTs) can be used to protect against performance and biases, but discrepancies in the reporting of methodological features between registered protocols and subsequent trial publications may lead to inconsistencies, thereby reintroducing bias.
Objective: To investigate inconsistency in blinding as reported in trial registries and publications.
Data Sources: An exploratory dataset and a validation dataset were created.
World J Microbiol Biotechnol
December 2024
Department of Microbiology, Government Science College, Vankal, Surat, 394 430, Gujarat, India.
Quorum sensing (QS) also known as bacterial cell-cell communication or bacterial crosstalk is a phenomenon regulating various bacterial traits that can affect plant growth and defence. Similarities in the structure of root exudates and bacterial signalling molecules have tremendous implications governing the plant heath. The rhizosphere ecosystem being an excellent example of plant-microbe and microbe-microbe interactions harbours a variety of microorganisms exhibiting quorum sensing.
View Article and Find Full Text PDFPLoS One
December 2024
School of Systems Engineering, Kochi University of Technology, Kami, Kochi, Japan.
This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study investigates the influence of economic indicators such as GDP per capita, government expenditure, government revenue, and unemployment rates on gender disparities. The analysis reveals that higher GDP and government revenues are associated with reduced gender inequality, while greater unemployment rates exacerbate disparities.
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