There is stronger empirical support, particularly in aquatic systems, for similarly self-magnifying processes in the form of cascading ecological trophic effects ( Borer and Gruner 2009). However, it is the case that the behavior of real-world systems is largely non-linear ( Stark and Hardy 2003). The empirical evidence for chaotic dynamics as it is technically defined is mixed ( Hastings 2009). Similar methods have been applied to ecological systems ( Holling 1973 May and McLean 2007). This is now known as sensitive dependence on initial conditions. Moreover, minute changes in the starting location of one variable quickly led to drastically different system trajectories. The upshot of the interactions among these equations, along with their non-linearity, was that the system failed to achieve either stability or periodicity, and thus predictability, over any period of time. Lorenz (1963), for example, modeled a process based on atmospheric convection with a set of three interacting non-linear differential equations. Complex systems are composed of diverse parts which strongly interact. The study of complexity, and the related concept of chaos, has now been popularized across many disciplines ( Gleick 2008). This presents a challenge to scholars and practitioners who desire to understand and effectively address modern environmental problems. These problems occur in highly complex systems which are difficult to understand and to manage. Modern society faces a diversity of environmental problems including biodiversity loss, diminishing natural resource stocks, and a changing climate. It demonstrates that these concepts can be used to analyze a diversity of environmental problems. This paper explores this concept and introduces another – multilevel causation – to further develop the diagnostic approach. An important feature of this approach is the use of multilevel analysis.
The answer to each question further unpacks the complexity of a system, allowing an analyst to explore patterns of interactions that produce outcomes.
ANOTHER WORD FOR DIAGNOSTIC CONSTRUCT SERIES
The process of diagnosis involves asking a series of questions of a system at increasing levels of specificity based on the answers to previous questions. This paper builds on previous work that has initiated a diagnostic approach to the analysis of these systems. These properties, along with the mostly non-experimental nature of the analysis, make it difficult to construct theories regarding the sustainability of social-ecological systems. The outcomes that are produced in these systems result from complex, non-additive interactions between different types of social and biophysical components, some of which are common to many systems, and some of which are relatively unique to a particular system. Please try again with a smaller file.Social-ecological systems exhibit patterns across multiple levels along spatial, temporal, and functional scales. Delete Remove No selected version Reset This field is required You are already subscribed to this topic Attach screenshot The file you uploaded exceeds the allowed file size of 20MB. Release notes and upgrades Click to open the dropdown menu. Explore products Click to go to the page. The available release versions for this topic are listed There is no specific version for this documentation. You were redirected to a related topic instead. The topic you requested does not exist in the release. Please try again or submit your comments. You have been unsubscribed from this content Thank you for your feedback. You are now subscribed to and will receive notifications if any changes are made to this page. You have been unsubscribed from all topics.
Subscribe Subscribed Unsubscribe Last updated: Tags: January February March April May June July August September October November December No Results Found Versions Search preferences successfully updated My release version successfully updated My release version successfully deleted An error has occurred.
0 kommentar(er)
