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Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change

Overview of attention for article published in Ecology and Evolution, February 2017
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7 X users

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Title
Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change
Published in
Ecology and Evolution, February 2017
DOI 10.1002/ece3.2755
Pubmed ID
Authors

Gordon C. Reese, Susan K. Skagen

Abstract

To identify areas on the landscape that may contribute to a robust network of conservation areas, we modeled the probabilities of occurrence of several en route migratory shorebirds and wintering waterfowl in the southern Great Plains of North America, including responses to changing climate. We predominantly used data from the eBird citizen-science project to model probabilities of occurrence relative to land-use patterns, spatial distribution of wetlands, and climate. We projected models to potential future climate conditions using five representative general circulation models of the Coupled Model Intercomparison Project 5 (CMIP5). We used Random Forests to model probabilities of occurrence and compared the time periods 1981-2010 (hindcast) and 2041-2070 (forecast) in "model space." Projected changes in shorebird probabilities of occurrence varied with species-specific general distribution pattern, migration distance, and spatial extent. Species using the western and northern portion of the study area exhibited the greatest likelihoods of decline, whereas species with more easterly occurrences, mostly long-distance migrants, had the greatest projected increases in probability of occurrence. At an ecoregional extent, differences in probabilities of shorebird occurrence ranged from -0.015 to 0.045 when averaged across climate models, with the largest increases occurring early in migration. Spatial shifts are predicted for several shorebird species. Probabilities of occurrence of wintering Mallards and Northern Pintail are predicted to increase by 0.046 and 0.061, respectively, with northward shifts projected for both species. When incorporated into partner land management decision tools, results at ecoregional extents can be used to identify wetland complexes with the greatest potential to support birds in the nonbreeding season under a wide range of future climate scenarios.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 119 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 17%
Student > Ph. D. Student 17 14%
Student > Master 16 13%
Student > Bachelor 10 8%
Student > Postgraduate 4 3%
Other 15 13%
Unknown 38 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 32%
Environmental Science 27 23%
Social Sciences 5 4%
Medicine and Dentistry 3 3%
Unspecified 2 2%
Other 6 5%
Unknown 39 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 March 2017.
All research outputs
#7,899,670
of 25,382,440 outputs
Outputs from Ecology and Evolution
#4,178
of 8,478 outputs
Outputs of similar age
#137,709
of 424,567 outputs
Outputs of similar age from Ecology and Evolution
#93
of 186 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,478 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 50% 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 424,567 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 67% of its contemporaries.
We're also able to compare this research output to 186 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 50% of its contemporaries.