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Spatial Demographic Models to Inform Conservation Planning of Golden Eagles in Renewable Energy Landscapes

Overview of attention for article published in Journal of Raptor Research, September 2017
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3 X users
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1 Facebook page

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22 Dimensions

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70 Mendeley
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Title
Spatial Demographic Models to Inform Conservation Planning of Golden Eagles in Renewable Energy Landscapes
Published in
Journal of Raptor Research, September 2017
DOI 10.3356/jrr-16-77.1
Pubmed ID
Authors

J. David Wiens, Nathan H. Schumaker, Rich D. Inman, Todd C. Esque, Kathleen M. Longshore, Kenneth E. Nussear

Abstract

Spatial demographic models can help guide monitoring and management activities targeting at-risk species, even in cases where baseline data are lacking. Here, we provide an example of how site-specific changes in land-use and other anthropogenic stressors can be incorporated into a spatial demographic model to investigate effects on population dynamics of Golden Eagles (Aquila chrysaetos). Our study focused on a population of Golden Eagles exposed to risks associated with rapid increases in renewable energy development in southern California, USA. We developed a spatially-explicit, individual-based simulation model that integrated empirical data on demography of Golden Eagles with spatial data on the arrangement of nesting habitats, prey resources, and planned renewable energy development sites. Our model permitted simulated eagles of different stage-classes to disperse, establish home ranges, acquire resources, prospect for breeding sites, and reproduce. The distribution of nesting habitats, prey resources, and threats within each individual's home range influenced movement, reproduction, and survival. We used our model to explore potential effects of alternative disturbance scenarios, and proposed conservation strategies, on the future distribution and abundance of Golden Eagles in the study region. Results from our simulations suggest that probable increases in mortality associated with renewable energy infrastructure (e.g., collisions with wind-turbines and vehicles, electrocution on power poles) could have negative consequences for population trajectories, but that site-specific conservation actions could reduce the magnitude of negative impacts. Our study demonstrates the use of a flexible and expandable modeling framework to incorporate spatially dependent processes when determining relative risks of proposed management options to Golden Eagles and their habitats.

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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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 13 19%
Student > Ph. D. Student 7 10%
Student > Bachelor 6 9%
Other 5 7%
Other 9 13%
Unknown 17 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 44%
Environmental Science 12 17%
Social Sciences 2 3%
Design 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 4 6%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2017.
All research outputs
#15,173,117
of 25,382,440 outputs
Outputs from Journal of Raptor Research
#369
of 708 outputs
Outputs of similar age
#168,739
of 324,453 outputs
Outputs of similar age from Journal of Raptor Research
#8
of 13 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 708 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 324,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.