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A typology of time‐scale mismatches and behavioral interventions to diagnose and solve conservation problems

Overview of attention for article published in Conservation Biology, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

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10 X users
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1 Wikipedia page

Citations

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29 Dimensions

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143 Mendeley
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Title
A typology of time‐scale mismatches and behavioral interventions to diagnose and solve conservation problems
Published in
Conservation Biology, December 2015
DOI 10.1111/cobi.12632
Pubmed ID
Authors

Robyn S. Wilson, David J. Hardisty, Rebecca S. Epanchin‐Niell, Michael C. Runge, Kathryn L. Cottingham, Dean L. Urban, Lynn A. Maguire, Alan Hastings, Peter J. Mumby, Debra P.C. Peters

Abstract

Ecological systems often operate on timescales significantly longer, or shorter, than the timescales typical of human decision-making, which causes substantial difficulty for conservation. For example, invasive species may move faster than humans can diagnose problems and initiate solutions. Climate systems may exhibit both long-term inertia and short-term fluctuations that obscure learning about the efficacy of adaptation and mitigation efforts. We adopted a management decision framework that distinguishes decision makers within public institutions from individual actors within the social system, calls attention to the ways that socio-ecological systems respond to decision makers' actions, and notes institutional learning that accrues from observing these responses. We used this framework, along with insights from challenging conservation problems, to create a typology that identifies problematic timescale mismatches and suggests solutions that involve modifying human perception and behavior at the individual level. The potential solutions are derived from the behavioral economics and psychology literature on temporal challenges in decision making. They include framing environmental decisions to enhance the salience of long-term consequences, using structured decision processes that make timescales of actions and consequences explicit, and structural solutions aimed at altering the consequences of short-sighted behavior. We demonstrate how our typology can be used to diagnose timescale mismatches and call for more research aimed at employing and validating the behavioral solutions identified. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Finland 1 <1%
South Africa 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 137 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 28%
Student > Ph. D. Student 23 16%
Student > Master 18 13%
Other 12 8%
Student > Bachelor 6 4%
Other 23 16%
Unknown 21 15%
Readers by discipline Count As %
Environmental Science 42 29%
Agricultural and Biological Sciences 33 23%
Social Sciences 15 10%
Computer Science 4 3%
Psychology 4 3%
Other 19 13%
Unknown 26 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 May 2022.
All research outputs
#4,115,572
of 24,549,201 outputs
Outputs from Conservation Biology
#1,785
of 3,965 outputs
Outputs of similar age
#66,013
of 398,500 outputs
Outputs of similar age from Conservation Biology
#22
of 30 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 398,500 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.