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Linking habitat suitability to demography in a pond-breeding amphibian

Overview of attention for article published in Frontiers in Zoology, May 2015
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  • Good Attention Score compared to outputs of the same age (67th percentile)

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Title
Linking habitat suitability to demography in a pond-breeding amphibian
Published in
Frontiers in Zoology, May 2015
DOI 10.1186/s12983-015-0103-3
Pubmed ID
Authors

Bianca Unglaub, Sebastian Steinfartz, Axel Drechsler, Benedikt R Schmidt

Abstract

Elucidating the relationship between habitat characteristics and population parameters is critical for effective conservation. Habitat suitability index (HSI) models are often used in wildlife management and conservation practice assuming that they predict species occurrence, abundance and demography. However, the relationship between vital rates such as survival and reproduction and habitat suitability has rarely been evaluated. In this study, we used pond occupancy and mark-recapture data to test whether HSI predicts occupancy, reproduction and survival probabilities. Our model species is the great crested newt (Triturus cristatus), a pond-breeding amphibian protected under the European Habitats Directive. Our results show a positive relationship between the HSI and reproduction probability, whereas pond occupancy and survival probabilities were not related to HSI. Mortality was found to be higher during breeding seasons when newts are in ponds than during terrestrial phases of adult newts. Habitat suitability models are increasingly applied to wildlife management and conservation practice. We found that the HSI model predicted reproduction probability, rather than occurrence or survival. If HSI models indicate breeding populations rather than mere species occurrences, they may be used to identify habitats of higher priority for conservation. Future HSI models might be improved through modelling breeding populations vs. non-breeding populations rather than presence/absence data. However, according to our results the most suitable habitat is not necessarily the habitat where demographic performance is best. We recommend that conservation practitioners should use HSI models cautiously because there may be no direct link between habitat suitability, demography and consequently, population viability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
France 1 <1%
Australia 1 <1%
Unknown 140 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 19%
Student > Ph. D. Student 25 17%
Student > Master 24 17%
Researcher 23 16%
Other 8 6%
Other 14 10%
Unknown 24 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 46%
Environmental Science 37 26%
Biochemistry, Genetics and Molecular Biology 3 2%
Computer Science 2 1%
Earth and Planetary Sciences 2 1%
Other 6 4%
Unknown 28 19%
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 17 August 2016.
All research outputs
#6,953,472
of 22,803,211 outputs
Outputs from Frontiers in Zoology
#348
of 650 outputs
Outputs of similar age
#82,387
of 264,461 outputs
Outputs of similar age from Frontiers in Zoology
#5
of 5 outputs
Altmetric has tracked 22,803,211 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 650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one is in the 44th percentile – i.e., 44% 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 264,461 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 5 others from the same source and published within six weeks on either side of this one.