integrating citizens in adaptive management: a propositional analysis
Clicks: 331
ID: 237379
1999
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Star Article
30.0
/100
331 views
60 readers
AI Quality Assessment
Not analyzed
Readership in this journal
StarRanked #36 of 308 articles by views in ieee access
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 308 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Lee has advocated for the use of civic science in the implementation of adaptive management experiments, noting that people and political processes are central features of adaptive approaches to land management. This paper explores the growing relationship between the public and forest management agencies, and uses a propositional analysis to guide methods for integrating citizens into adaptive management situations. Important characteristics are organized and discussed in six thematic areas. Citizen-agency interactions are more effective when (1) they are open and inclusive, (2) they are built on skilled leadership and interactive forums, (3) they include innovative and flexible methods, (4) involvement is early and continuous, (5) efforts result in action, and (6) they seek to build trust among participants. Particular attention to the situational context of actions and decisions helps to determine the relevance of adaptive management for individuals in these settings.
| Reference Key |
shindler1999ecologyintegrating
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Bruce Shindler;Kristin Aldred Cheek |
| Journal | ieee access |
| Year | 1999 |
| DOI |
10.5751/ES-00112-030109
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.