ABSTRACT
Increasing food security and preventing further loss of biodiversity are two of humanity's most pressing challenges. Yet, efforts to address these challenges often lead to situations of conflict between the interests of agricultural production and those of biodiversity conservation. Here, we focus on conflicts between livestock production and the conservation of wild herbivores, which have received little attention in the scientific literature. We identify four key socio-ecological challenges underlying such conflicts, which we illustrate using a range of case studies. We argue that addressing these challenges will require the implementation of co-management approaches that promote the participation of relevant stakeholders in processes of ecological monitoring, impact assessment, decision-making, and active knowledge sharing.
Subject(s)
Conservation of Natural Resources , Livestock , Agriculture , Animals , Biodiversity , HerbivoryABSTRACT
The molecular topology model and discriminant analysis have been applied to the prediction of some pharmacological properties of hypoglycemic drugs using multiple regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies performed on the selected prediction models confirmed the goodness of the fits. The method used for hypoglycemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new hypoglycemic agents, and we tested on rats the predictive ability of the model.
Subject(s)
Hypoglycemic Agents/chemistry , Hypoglycemic Agents/pharmacology , Animals , Computer Simulation , Drug Design , Linear Models , Quantitative Structure-Activity Relationship , Rats , Regression AnalysisABSTRACT
This investigation was undertaken to test the ability of the molecular connectivity model to predict the percentage of plasma protein binding, the percentage of total cholesterol reduction and oral LD50 in rats of a group of hypolipaemic drugs using multi-variable regression equations with multiple correlation coefficients, standard error of estimate, degrees of freedom, F-Snedecor function values, Mallow's CP and Student's t-test as criteria of fit. Regression analyses showed that the molecular connectivity model predicts these properties. Corresponding stability (cross validation) studies were made on the selected prediction models which confirmed their goodness of fit. The results also demonstrated that the presence of substituents and molecular volume, determine the value of these properties in hypolipaemic drugs.
Subject(s)
Cholesterol/blood , Hypolipidemic Agents/chemistry , Hypolipidemic Agents/pharmacology , Animals , Blood Proteins/metabolism , Fenofibrate/chemistry , Furans/chemistry , Hypolipidemic Agents/metabolism , Lethal Dose 50 , Models, Biological , Probucol/chemistry , Protein Binding , Rats , Regression Analysis , Structure-Activity RelationshipABSTRACT
The molecular connectivity method has been applied to the study of pharmacological properties, among which are found the angor treatment dose, alpha-distribution half-life and intravenous LD50 in mouse, of a group of beta-blocker agents, verifying its application in the prediction of theoretic values for said pharmacological properties. To do this, the obtained multiple regression functions of the corresponding connectivity indices were used in relation with the experimental values of the properties, which are accompanied by the statistical parameters used in their selection criteria, as well as the corresponding random and cross-validation studies of said functions, which corroborate the good correlation of the selected equations.
