Return
Using a network framework to quantitatively select ecological indicators
DOI:10.1016/j.ecolind.2008.12.009.png)
Abstract
En 中文
Ecological indicators are often constructed as an integrated set to represent key information and characteristics of the ecosystem which are tightly linked to management objectives. As an effective tool, ecological indicators play an increasingly important role in ecosystem monitoring, assessment and management. Reasonable selection of an indicator is a prerequisite for effectively using it. A defined protocol with scientific rigor to select ecological indicators is imperative to solve the challenges in ecological indicator selection. This paper compares the Causal Network (CN) with the Ecological Hierarchy Network (EHN) as a framework to select ecological indicators. These frameworks are not exclusive but interdependent in constructing a network framework. Based on the network framework, a quantitative ecological indicator selection method is demonstrated through a theoretical example. In the selection process, the criteria and requirements considering the balance of science and utility are proposed and translated into quantitative constraints of a selection model. By resolving the model under a mathematical operation, the human arbitrary disturbance will be reduced and random selection minimized. (C) 2008 Elsevier Ltd. All rights reserved.
Keywords:
Indicator selection
Ecological indicator
Network
Quantitative method
Ecological hierarchy
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.4
Papers:
1.3W
Citations:
7.1W
Organization
Cited Papers
Sustainability indicators, policy and governance: Issues for ecological economics
ECOLOGICAL ECONOMICS
IF6.3

