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Regional climate and local-scale biotic acceptance explain native–exotic richness relationships in Australian annual plant communities

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, September 2018
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Title
Regional climate and local-scale biotic acceptance explain native–exotic richness relationships in Australian annual plant communities
Published in
Proceedings of the Royal Society B: Biological Sciences, September 2018
DOI 10.1098/rspb.2018.1328
Pubmed ID
Authors

Isaac. R. Towers, John. M. Dwyer

Abstract

Native and exotic species richness is expected to be negatively related at small spatial scales where individuals interact, and positive at larger spatial scales as a greater variety of habitats are sampled. However, a range of native-exotic richness relationships (NERRs) have been reported, including positive at small scales and negative at larger scales. We present a hierarchical metacommunity framework to explain how contrasting NERRs may emerge across scales and study systems, and then apply this framework to NERRs in an invaded winter annual plant system in southwest Western Australia. We analysed NERRs at increasing spatial scales from neighbourhoods (0.09 m2) to communities (225 m2) to metacommunities (greater than 10 ha) within a multilevel structural equation model. In contrast to many previous studies, native and exotic richness were positively related at the neighbourhood scale and were not significantly associated at larger scales. Heterogeneity in soil surface properties was weakly, but positively, associated with native and exotic richness at the community scale. Metacommunity exotic richness increased strongly with regional temperature and moisture availability, but relationships for native richness were negative and much weaker. Thus, we show that neutral NERRs can emerge at larger scales owing to differential climatic filtering of native and exotic species pools.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Doctoral Student 2 10%
Researcher 2 10%
Professor 2 10%
Student > Bachelor 1 5%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Environmental Science 5 25%
Unspecified 1 5%
Medicine and Dentistry 1 5%
Engineering 1 5%
Other 0 0%
Unknown 6 30%
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 09 September 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#10,792
of 11,335 outputs
Outputs of similar age
#268,691
of 345,354 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#144
of 148 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,335 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.