↓ Skip to main content

Choosing and Using Climate‐Change Scenarios for Ecological‐Impact Assessments and Conservation Decisions

Overview of attention for article published in Conservation Biology, December 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
policy
3 policy sources
twitter
4 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
194 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Choosing and Using Climate‐Change Scenarios for Ecological‐Impact Assessments and Conservation Decisions
Published in
Conservation Biology, December 2013
DOI 10.1111/cobi.12163
Pubmed ID
Authors

AMY K. SNOVER, NATHAN J. MANTUA, JEREMY S. LITTELL, MICHAEL A. ALEXANDER, MICHELLE M. MCCLURE, JANET NYE

Abstract

Increased concern over climate change is demonstrated by the many efforts to assess climate effects and develop adaptation strategies. Scientists, resource managers, and decision makers are increasingly expected to use climate information, but they struggle with its uncertainty. With the current proliferation of climate simulations and downscaling methods, scientifically credible strategies for selecting a subset for analysis and decision making are needed. Drawing on a rich literature in climate science and impact assessment and on experience working with natural resource scientists and decision makers, we devised guidelines for choosing climate-change scenarios for ecological impact assessment that recognize irreducible uncertainty in climate projections and address common misconceptions about this uncertainty. This approach involves identifying primary local climate drivers by climate sensitivity of the biological system of interest; determining appropriate sources of information for future changes in those drivers; considering how well processes controlling local climate are spatially resolved; and selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. The most appropriate scenarios for a particular analysis will not necessarily be the most appropriate for another due to differences in local climate drivers, biophysical linkages to climate, decision characteristics, and how well a model simulates the climate parameters and processes of interest. Given these complexities, we recommend interaction among climate scientists, natural and physical scientists, and decision makers throughout the process of choosing and using climate-change scenarios for ecological impact assessment. Selección y Uso de Escenarios de Cambio Climático para Estudios de Impacto Ecológico y Decisiones de Conservación.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 5%
Brazil 2 1%
Spain 2 1%
Italy 1 <1%
South Africa 1 <1%
Peru 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Other 0 0%
Unknown 175 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 33%
Student > Ph. D. Student 30 15%
Student > Master 25 13%
Other 15 8%
Professor > Associate Professor 8 4%
Other 28 14%
Unknown 24 12%
Readers by discipline Count As %
Environmental Science 60 31%
Agricultural and Biological Sciences 56 29%
Earth and Planetary Sciences 19 10%
Social Sciences 10 5%
Engineering 4 2%
Other 12 6%
Unknown 33 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 01 June 2022.
All research outputs
#709,396
of 25,420,980 outputs
Outputs from Conservation Biology
#376
of 4,056 outputs
Outputs of similar age
#7,193
of 321,113 outputs
Outputs of similar age from Conservation Biology
#4
of 61 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has done particularly well, scoring higher than 90% 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 321,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.