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Tree leaf litter composition drives temporal variation in aquatic beetle colonization and assemblage structure in lentic systems

Overview of attention for article published in Oecologia, January 2017
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Title
Tree leaf litter composition drives temporal variation in aquatic beetle colonization and assemblage structure in lentic systems
Published in
Oecologia, January 2017
DOI 10.1007/s00442-017-3813-8
Pubmed ID
Authors

Matthew R. Pintar, William J. Resetarits

Abstract

Tree leaf litter inputs to freshwater systems are a major resource and primary drivers of ecosystem processes and structure. Spatial variation in tree species distributions and forest composition control litter inputs across landscapes, but inputs to individual lentic habitat patches are determined by adjacent plant communities. In small, ephemeral, fishless ponds, resource quality and abundance can be the most important factor affecting habitat selection preferences of colonizing animals. We used a landscape of experimental mesocosms to assess how natural populations of aquatic beetles respond over time to variation in tree leaf litter composition (pine or hardwood). Patches with faster-decomposing hardwood leaf litter were initially colonized at higher rates than slower-decomposing pine pools by most species of Hydrophilidae, but this pattern reversed later in the experiment with higher colonization of pine pools by hydrophilids. Colonization did not differ between pine and hardwood for dytiscids and the small hydrophilid Paracymus, but there were distinct beetle assemblages between pine and hardwood patches both early and late in the experiment. Our data support the importance of patch quality and habitat selection as determinants of species abundances, richness, and community structure in freshwater aquatic systems, not only when new habitat patches are formed and initial conditions set, but as patches change due to interactions of processes such as decomposition with time.

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Mendeley readers

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The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 28%
Student > Bachelor 6 13%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 4 9%
Researcher 4 9%
Other 9 19%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 38%
Environmental Science 16 34%
Biochemistry, Genetics and Molecular Biology 4 9%
Business, Management and Accounting 1 2%
Unknown 8 17%
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 13 January 2017.
All research outputs
#18,518,987
of 22,940,083 outputs
Outputs from Oecologia
#3,655
of 4,226 outputs
Outputs of similar age
#311,589
of 421,506 outputs
Outputs of similar age from Oecologia
#45
of 49 outputs
Altmetric has tracked 22,940,083 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 4,226 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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