Description

Sustainable Ecology (SE) is an international, open-access publication dedicated to advancing the understanding and application of sustainable practices within the field of ecology. This journal employs a double-blind peer review process to ensure the highest standards of academic rigor and integrity. The journal’s open-access model ensures that valuable research is available to a wide audience that includes researchers and scientists in ecology and related fields, environmental consultants and engineers, industry professionals and business managers, policy makers and government officials, and other organizations focused on sustainability.

The primary aim of Sustainable Ecology is to promote interdisciplinary research that contributes to the sustainable management of ecological systems. The journal welcomes a broad range of topics, including but not limited to:

  • Ecological impacts of energy options
  • Carbon-neutral strategies
  • Climate change mitigation and adaptation
  • Governance of global environmental events
  • Ecological cities
  • Coordination of complex ecosystems
  • Human dimensions in natural ecosystems
  • Management of ecosystem services

The journal prioritizes research that provides new knowledge and insights into these areas, supporting the goals of sustainable development and ecological balance. Other types of manuscripts are also welcomed, e.g., reviews, perspectives, book reviews, and opinion pieces.

Latest Articles

  • Open Access

    Article

    Article ID: 1751

    Bifurcation analysis and multiobjective nonlinear model predictive control of sustainable ecosystems

    by Lakshmi N. Sridhar

    Sustainable Ecology, Vol.1, No.1, 2024;

    DOI: https://doi.org/10.59400/se1751

    Problem: All optimal control work involving ecological models involves single objective optimization. In this work, we perform multiobjective nonlinear model predictive control (MNLMPC) in conjunction with bifurcation analysis on an ecosystem model. Methods: Bifurcation analysis was performed using the MATLAB software MATCONT MATLAB CONTINUITION, while multiobjective nonlinear model predictive control was performed by using the optimization language PYOMO (PYTHON OPTIMIZATION). Results: Rigorous proof showing the existence of bifurcation (branch) points is presented along with computational validation. It is also demonstrated (both numerically and analytically) that the presence of the branch points was instrumental in obtaining the Utopia solution when the multi-objective nonlinear model prediction calculations were performed. Conclusions: The main conclusions of this work are that one can attain the utopia point in MNLMPC calculations because of the branch points that occur in the ecosystem model, and the presence of the branch point can be proved analytically.

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Announcements

Welcome to Join Sustainable Ecology

2024-08-15

Research in the field of ecology and sustainability is thriving. Our journal, Sustainable Ecology is committed to supporting scholars' research and actively promoting their contributions. We warmly invite researchers to join us in advancing this vital field and sharing their insights to foster a more sustainable future.

 

For more information, please visit our website at https://ojs.acad-pub.com/index.php/SE, or or feel free to contact us at editorial_office@acad-pub.com.

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