Modelling social-ecological transformations: an adaptive network proposal

نویسندگان

  • Steven J. Lade
  • Örjan Bodin
  • Jonathan F. Donges
  • Elin Enfors Kautsky
  • Diego Galafassi
  • Per Olsson
  • Maja Schlüter
  • Steven Lade
چکیده

Transformations to create more sustainable social-ecological systems are urgently needed. Structural change is a feature of transformations of social-ecological systems that is of critical importance but is little understood. Here, we propose a framework for conceptualising and modelling sustainability transformations based on adaptive networks. Adaptive networks focus attention on the interplay between the structure of a social-ecological system and the dynamics of individual entities. Adaptive networks could progress transformations research by: 1) focusing research on changes in structure; 2) providing a conceptual framework that clarifies the temporal dynamics of social-ecological transformations compared to the most commonly used heuristic in resilience studies, the ball-and-cup diagram; 3) providing quantitative modelling tools in an area of study dominated by qualitative methods. We illustrate the potential application of adaptive networks to social-ecological transformations using a case study of illegal fishing in the Southern Ocean and a theoretical model of socially networked resource users.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Transformations and multi-scale optimisation in biological adaptive networks

The natural energy minimisation behaviour of a dynamical system can be interpreted as a simple optimisation process, finding a locally optimal resolution of constraints between system variables. In human problem solving, high-dimensional problems are often made much easier by inferring a low-dimensional model of the system in which search is more effective. But this is an approach that seems to...

متن کامل

A Case for Open Network Health Systems: Systems as Networks in Public Mental Health

Increases in incidents involving so-called confused persons have brought attention to the potential costs of recent changes to public mental health (PMH) services in the Netherlands. Decentralized under the (Community) Participation Act (2014), local governments must find resources to compensate for reduced central funding to such services or “innovate.” But innovation, even when pressure for c...

متن کامل

The Relevance of Fuzzy Cognitive Mapping Approaches for Assessing Adaptive Capacity and Resilience in Social-Ecological Systems

Social–Ecological Systems (SES) are complex due to uncertainty related to their nature and their functions. In these systems, decision-making processes and practices of managers are often valueladen and subjective, dominated by their world-views and their own knowledge. People’s knowledge are central in building their adaptive capacity but are seldom taken into account by traditional decision-m...

متن کامل

Artificial Intelligent Modeling and Optimizing of an Industrial Hydrocracker Plant

The main objective of this study is the modelling and optimization of an industrial Hydrocracker Unit (HU) by means of Adaptive Neuro Fuzzy Inference System (ANFIS) model. In this case, some data were collected from an industrial hydrocracker plant. Inputs of an ANFIS include flow rate of fresh feed and recycle hydrogen, temperature of reactors, mole percentage of H2 and H2S, feed flow rate and...

متن کامل

Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017