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Phenology research for natural resource management in the United States

Overview of attention for article published in International Journal of Biometeorology, January 2014
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Title
Phenology research for natural resource management in the United States
Published in
International Journal of Biometeorology, January 2014
DOI 10.1007/s00484-013-0772-6
Pubmed ID
Authors

Carolyn A. F. Enquist, Jherime L. Kellermann, Katharine L. Gerst, Abraham J. Miller-Rushing

Abstract

Natural resource professionals in the United States recognize that climate-induced changes in phenology can substantially affect resource management. This is reflected in national climate change response plans recently released by major resource agencies. However, managers on-the-ground are often unclear about how to use phenological information to inform their management practices. Until recently, this was at least partially due to the lack of broad-based, standardized phenology data collection across taxa and geographic regions. Such efforts are now underway, albeit in very early stages. Nonetheless, a major hurdle still exists: phenology-linked climate change research has focused more on describing broad ecological changes rather than making direct connections to local to regional management concerns. To help researchers better design relevant research for use in conservation and management decision-making processes, we describe phenology-related research topics that facilitate "actionable" science. Examples include research on evolution and phenotypic plasticity related to vulnerability, the demographic consequences of trophic mismatch, the role of invasive species, and building robust ecological forecast models. Such efforts will increase phenology literacy among on-the-ground resource managers and provide information relevant for short- and long-term decision-making, particularly as related to climate response planning and implementing climate-informed monitoring in the context of adaptive management. In sum, we argue that phenological information is a crucial component of the resource management toolbox that facilitates identification and evaluation of strategies that will reduce the vulnerability of natural systems to climate change. Management-savvy researchers can play an important role in reaching this goal.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Canada 1 <1%
Brazil 1 <1%
Unknown 121 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 27%
Researcher 30 24%
Student > Master 13 10%
Professor 5 4%
Student > Bachelor 5 4%
Other 19 15%
Unknown 20 16%
Readers by discipline Count As %
Environmental Science 34 27%
Agricultural and Biological Sciences 26 21%
Earth and Planetary Sciences 13 10%
Social Sciences 4 3%
Engineering 4 3%
Other 17 13%
Unknown 28 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 January 2014.
All research outputs
#18,359,382
of 22,738,543 outputs
Outputs from International Journal of Biometeorology
#1,075
of 1,289 outputs
Outputs of similar age
#229,122
of 304,891 outputs
Outputs of similar age from International Journal of Biometeorology
#16
of 22 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 8th percentile – i.e., 8% 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 304,891 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.