↓ Skip to main content

Changes in seasonal climate outpace compensatory density‐dependence in eastern brook trout

Overview of attention for article published in Global Change Biology, January 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Readers on

mendeley
135 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
Changes in seasonal climate outpace compensatory density‐dependence in eastern brook trout
Published in
Global Change Biology, January 2016
DOI 10.1111/gcb.13135
Pubmed ID
Authors

Ronald D Bassar, Benjamin H Letcher, Keith H Nislow, Andrew R Whiteley

Abstract

Understanding how multiple extrinsic (density-independent) factors and intrinsic (density-dependent) mechanisms influence population dynamics has become increasingly urgent in the face of rapidly changing climates. It is particularly unclear how multiple extrinsic factors with contrasting effects among seasons are related to declines in population numbers and changes in mean body size and whether there is a strong role for density-dependence. The primary goal of this study was to identify the roles of seasonal variation in climate driven environmental direct effects (mean stream flow and temperature) versus density-dependence on population size and mean body size in eastern brook trout (Salvelinus fontinalis). We use data from a 10-year capture-mark-recapture study of eastern brook trout in four streams in Western Massachusetts, USA to parameterize a discrete-time population projection model. The model integrates matrix modeling techniques used to characterize discrete population structures (age, habitat type and season) with integral projection models (IPMs) that characterize demographic rates as continuous functions of organismal traits (in this case body size). Using both stochastic and deterministic analyses we show that decreases in population size are due to changes in stream flow and temperature and that these changes are larger than what can be compensated for through density-dependent responses. We also show that the declines are due mostly to increasing mean stream temperatures decreasing the survival of the youngest age class. In contrast, increases in mean body size over the same period are the result of indirect changes in density with a lesser direct role of climate-driven environmental change. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 131 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 23%
Researcher 25 19%
Student > Master 24 18%
Student > Bachelor 8 6%
Professor 7 5%
Other 18 13%
Unknown 22 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 39%
Environmental Science 43 32%
Earth and Planetary Sciences 3 2%
Engineering 3 2%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 4 3%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 30 November 2015.
All research outputs
#2,716,666
of 24,586,986 outputs
Outputs from Global Change Biology
#3,277
of 6,105 outputs
Outputs of similar age
#46,315
of 403,992 outputs
Outputs of similar age from Global Change Biology
#35
of 84 outputs
Altmetric has tracked 24,586,986 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,105 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.9. This one is in the 46th percentile – i.e., 46% 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 403,992 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 88% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.