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Assessing the components of adaptive capacity to improve conservation and management efforts under global change

Overview of attention for article published in Conservation Biology, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

1 policy source
4 tweeters
1 Facebook page


52 Dimensions

Readers on

217 Mendeley
1 CiteULike
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Assessing the components of adaptive capacity to improve conservation and management efforts under global change
Published in
Conservation Biology, April 2015
DOI 10.1111/cobi.12522
Pubmed ID

Adrienne B. Nicotra, Erik A. Beever, Amanda L. Robertson, Gretchen E. Hofmann, John O'Leary


Natural-resource managers and other conservation practitioners are under unprecedented pressure to categorize and quantify the vulnerability of natural systems based on assessment of the exposure, sensitivity, and adaptive capacity of species to climate change. Despite the urgent need for these assessments, neither the theoretical basis of adaptive capacity nor the practical issues underlying its quantification has been articulated in a manner that is directly applicable to natural-resource management. Both are critical for researchers, managers, and other conservation practitioners to develop reliable strategies for assessing adaptive capacity. Drawing from principles of classical and contemporary research and examples from terrestrial, marine, plant, and animal systems, we examined broadly the theory behind the concept of adaptive capacity. We then considered how interdisciplinary, trait- and triage-based approaches encompassing the oft-overlooked interactions among components of adaptive capacity can be used to identify species and populations likely to have higher (or lower) adaptive capacity. We identified the challenges and value of such endeavors and argue for a concerted interdisciplinary research approach that combines ecology, ecological genetics, and eco-physiology to reflect the interacting components of adaptive capacity. We aimed to provide a basis for constructive discussion between natural-resource managers and researchers, discussions urgently needed to identify research directions that will deliver answers to real-world questions facing resource managers, other conservation practitioners, and policy makers. Directing research to both seek general patterns and identify ways to facilitate adaptive capacity of key species and populations within species, will enable conservation ecologists and resource managers to maximize returns on research and management investment and arrive at novel and dynamic management and policy decisions.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Brazil 2 <1%
Germany 1 <1%
Canada 1 <1%
Mexico 1 <1%
Portugal 1 <1%
Unknown 206 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 27%
Student > Ph. D. Student 50 23%
Student > Master 34 16%
Student > Bachelor 15 7%
Student > Doctoral Student 15 7%
Other 25 12%
Unknown 20 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 43%
Environmental Science 53 24%
Biochemistry, Genetics and Molecular Biology 11 5%
Earth and Planetary Sciences 10 5%
Social Sciences 4 2%
Other 12 6%
Unknown 33 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2020.
All research outputs
of 15,341,807 outputs
Outputs from Conservation Biology
of 2,997 outputs
Outputs of similar age
of 230,347 outputs
Outputs of similar age from Conservation Biology
of 73 outputs
Altmetric has tracked 15,341,807 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 230,347 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 76% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.