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To predict the niche, model colonization and extinction

Overview of attention for article published in Ecology, January 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
To predict the niche, model colonization and extinction
Published in
Ecology, January 2015
DOI 10.1890/14-1361.1
Pubmed ID
Authors

Charles B. Yackulic, James D. Nichols, Janice Reid, Ricky Der

Abstract

Ecologists frequently try to predict the future geographic distributions of species. Most studies assume that the current distribution of a species reflects its environmental requirements (i.e., the species' niche). However, the current distributions of many species are unlikely to be at equilibrium with the current distribution of environmental conditions, both because of ongoing invasions and because the distribution of suitable environmental conditions is always changing. This mismatch between the equilibrium assumptions inherent in many analyses and the disequilibrium conditions in the real world leads to inaccurate predictions of species' geographic distributions and suggests the need for theory and analytical tools that avoid equilibrium assumptions. Here, we develop a general theory of environmental associations during periods of transient dynamics. We show that time-invariant relationships between environmental conditions and rates of local colonization and extinction can produce substantial temporal variation in occupancy-environment relationships. We then estimate occupancy-environment relationships during three avian invasions. Changes in occupancy-environment relationships over time differ among species but are predicted by dynamic occupancy models. Since estimates of the occupancy-environment relationships themselves are frequently poor predictors of future occupancy patterns, research should increasingly focus on characterizing how rates of local colonization and extinction vary with environmental conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
France 3 1%
South Africa 2 <1%
Brazil 2 <1%
Portugal 1 <1%
Australia 1 <1%
Switzerland 1 <1%
Mexico 1 <1%
Canada 1 <1%
Other 2 <1%
Unknown 207 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 27%
Student > Ph. D. Student 57 25%
Student > Master 24 11%
Student > Doctoral Student 17 7%
Professor > Associate Professor 12 5%
Other 35 15%
Unknown 21 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 121 53%
Environmental Science 63 28%
Earth and Planetary Sciences 4 2%
Social Sciences 3 1%
Decision Sciences 1 <1%
Other 1 <1%
Unknown 35 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2016.
All research outputs
#13,929,802
of 24,400,706 outputs
Outputs from Ecology
#5,117
of 6,808 outputs
Outputs of similar age
#173,513
of 361,998 outputs
Outputs of similar age from Ecology
#45
of 79 outputs
Altmetric has tracked 24,400,706 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 24th percentile – i.e., 24% 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 361,998 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.