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ZENODO
Dataset . 2019
License: CC 0
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC 0
Data sources: ZENODO
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Dataset . 2018
Data sources: B2FIND
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EASY
Dataset . 2018
Data sources: EASY
DRYAD
Dataset . 2019
License: CC 0
Data sources: Datacite
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Data from: Environmental filtering and competitive exclusion drive biodiversity-invasibility relationships in shallow lake plant communities

Authors: Muthukrishnan, Ranjan; Hansel-Welch, Nicole; Larkin, Daniel J.;

Data from: Environmental filtering and competitive exclusion drive biodiversity-invasibility relationships in shallow lake plant communities

Abstract

1. Understanding the processes that influence the diversity of ecological communities and their susceptibility to invasion by exotic species remains a challenge in ecology. In many systems, a positive relationship between the richness of native species and exotic species has been observed at larger spatial (e.g., regional) scales, while a negative pattern has been observed at local (e.g., plot) scales. These patterns are widely attributed to (1) biotic interactions, particularly biotic resistance, limiting invasions in high-diversity locations, producing negative local-scale relationships, and (2) native and exotic richness covarying at larger spatial scales as a function of environmental conditions and heterogeneity, producing positive large-scale relationships. However, alternative processes can produce similar patterns and need to be critically evaluated to make sound inferences about underlying mechanisms. 2. We aggregated a large dataset of aquatic vegetation surveys from 1,102 Minnesota shallow lakes collected over 13 years to quantify spatial and temporal patterns of community composition. Using those data and additional information on environmental conditions we evaluated evidence for four distinct mechanisms that could drive patterns of native and exotic species richness: biotic resistance, competitive exclusion, environmental filtering, and environmental heterogeneity. 3. We found the classic pattern of a negative native-exotic richness relationship at local scales and a positive relationship at lake scales. However, we found no evidence for local-scale biotic resistance; instead, competitive exclusion by invasive species appeared to reduce native richness after locations became invaded. Evaluating the influence of environmental filtering and heterogeneity, we found that native and exotic species occupied somewhat different niches. Invaders were less sensitive to environmental gradients and more tolerant of a wider range of conditions. This segregation of habitat preferences alone could produce a negative local native-exotic richness relationship and a positive regional pattern without the involvement of biotic interactions. 4. Synthesis: Our findings somewhat conflict with established expectations, which come from research predominantly conducted in terrestrial ecosystems. This illustrates the importance of explicitly evaluating underlying mechanisms in diversity-invasibility research and for comparisons across different types of ecosystems. Identification of different drivers of diversity also has direct implications for decisions about management of freshwater plant communities.

Compressed data archive fileThis compressed archive includes multiple other files including data files (in .csv format for tabular data) and the R code for all analyses (a series of .R scripts). Specific descriptions of each file are supplied in the ReadMe.txt file.Data_archive.zip

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Keywords

medicine and health care, Life sciences, medicine and health care , aquatic plants, NERR, competitive exclusion, Life Sciences, Medicine, Life sciences, Invasion ecology

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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