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Aboveground Allometric Models for Freeze-Affected Black Mangroves (Avicennia germinans): Equations for a Climate Sensitive Mangrove-Marsh Ecotone

Overview of attention for article published in PLOS ONE, June 2014
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2 X users

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45 Dimensions

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130 Mendeley
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Title
Aboveground Allometric Models for Freeze-Affected Black Mangroves (Avicennia germinans): Equations for a Climate Sensitive Mangrove-Marsh Ecotone
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0099604
Pubmed ID
Authors

Michael J. Osland, Richard H. Day, Jack C. Larriviere, Andrew S. From

Abstract

Across the globe, species distributions are changing in response to climate change and land use change. In parts of the southeastern United States, climate change is expected to result in the poleward range expansion of black mangroves (Avicennia germinans) at the expense of some salt marsh vegetation. The morphology of A. germinans at its northern range limit is more shrub-like than in tropical climes in part due to the aboveground structural damage and vigorous multi-stem regrowth triggered by extreme winter temperatures. In this study, we developed aboveground allometric equations for freeze-affected black mangroves which can be used to quantify: (1) total aboveground biomass; (2) leaf biomass; (3) stem plus branch biomass; and (4) leaf area. Plant volume (i.e., a combination of crown area and plant height) was selected as the optimal predictor of the four response variables. We expect that our simple measurements and equations can be adapted for use in other mangrove ecosystems located in abiotic settings that result in mangrove individuals with dwarf or shrub-like morphologies including oligotrophic and arid environments. Many important ecological functions and services are affected by changes in coastal wetland plant community structure and productivity including carbon storage, nutrient cycling, coastal protection, recreation, fish and avian habitat, and ecosystem response to sea level rise and extreme climatic events. Coastal scientists in the southeastern United States can use the identified allometric equations, in combination with easily obtained and non-destructive plant volume measurements, to better quantify and monitor ecological change within the dynamic, climate sensitive, and highly-productive mangrove-marsh ecotone.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Hong Kong 1 <1%
Italy 1 <1%
Unknown 126 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Researcher 19 15%
Student > Master 18 14%
Student > Doctoral Student 12 9%
Student > Bachelor 6 5%
Other 18 14%
Unknown 31 24%
Readers by discipline Count As %
Environmental Science 53 41%
Agricultural and Biological Sciences 25 19%
Earth and Planetary Sciences 9 7%
Engineering 2 2%
Medicine and Dentistry 2 2%
Other 4 3%
Unknown 35 27%
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 29 June 2014.
All research outputs
#16,886,902
of 24,829,155 outputs
Outputs from PLOS ONE
#150,782
of 215,014 outputs
Outputs of similar age
#138,923
of 233,227 outputs
Outputs of similar age from PLOS ONE
#2,734
of 4,440 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 215,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 22nd percentile – i.e., 22% 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 233,227 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,440 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.