Editorial: Ecological models for tomorrow's solutions

Consultable a partir de

2027-07-01

Date

2025-07-01

Authors

Arhonditsis, George
Wang, Hsiao-Hsuan
Neuman, Alexey
Arnillas, Carlos A.
Fath, Brian D.

Director

Publisher

Elsevier
Acceso embargado / Sarbidea bahitua dago
Otros / Bestelakoak
Versión aceptada / Onetsi den bertsioa

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OpenAlexGoogle Scholar
No disponible en Scopus

Abstract

A robust environmental policy analysis typically relies upon the following pillars: (i) defensible identification of the critical drivers of degradation, (ii) elucidation of the sources of controversy, and (iii) development of necessary tools to anticipate the unexpected. While management problems are rarely (if ever) solved completely and certain facets of environmental/ecological systems evolve over time (Davies et al., 2024), the core issues remain the same. It is thus critical to establish knowledge frameworks that ensure both continuity in the decision-making process but also iterative adjustments to accommodate the ubiquitous uncertainty surrounding the study of open ecosystems.

Description

Keywords

Adaptive management, Environmental modelling, Uncertainty, Ecological policy

Department

Ciencias / Zientziak / Institute for Multidisciplinary Research in Applied Biology - IMAB

Faculty/School

Degree

Doctorate program

item.page.cita

Arhonditsis, G., Blanco, J. A., Wang, H. H., Neuman, A., Arnillas, C. A., Fath, B. D. (2025). Editorial: Ecological models for tomorrow's solutions. Ecological Modelling: International Journal of Ecological Modelling and Engineering and Sustems Ecology, 506, 1-4. https://doi.org/10.1016/j.ecolmodel.2025.111158.

item.page.rights

©2025 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0

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