Literature DB >> 28940358

The native-exotic species richness relationship varies with spatial grain of measurement and environmental conditions.

Dennis D Tarasi1,2, Robert K Peet1,3.   

Abstract

Biological invasions can have dramatic impacts on communities and biodiversity, and are critical considerations in conservation and management decisions. We present a novel analysis to determine how exotic species success varies with community richness and scale of measurement. Using 5,022 plots representing natural vegetation of the Carolinas, we calculated native and exotic species richness of all vascular plants at five grain sizes. To avoid spatial pseudoreplication, we randomly selected unique subplots from each larger plot, re-selecting 100 times to develop an empirical distribution of the native-exotic richness relationship (NERR). Because observed NERRs vary with spatial scale, we developed separate scale-specific null-model distributions to compare to the empirical data. For each spatial scale, we compared the empirical distribution of 100 slopes to the null distribution containing 99 permutations of species origin per empirical slope. We also analyzed the dataset according to broad assignments corresponding to environmental conditions, using the formation type assigned to each community. The plots followed across most scales the general trend that exotic richness increases with native richness. At the smallest scale, however, the NERR was negative. The slope of the NERR is significantly higher than the null model at the largest observed scale and significantly lower than the null model at the smallest two observed scales. The NERR for most formations follows the general pattern with scale for the entire dataset. Warm temperate forests expressed essentially 0 slope at the largest spatial grain, decreasing to a negative relationship at 1 m2 and smaller. Temperate freshwater marshes and wet meadows and shrublands expressed a positive relationship at all spatial grains, demonstrating that unique environmental and biogeographic conditions differentially affect exotic species. Further, these results indicate that exotic species are unevenly distributed across natural communities and that community assembly processes vary with scale.
© 2017 by the Ecological Society of America.

Entities:  

Keywords:  biodiversity; community dynamics; diversity-invasibility hypothesis; invasive species; null model; species richness

Mesh:

Year:  2017        PMID: 28940358     DOI: 10.1002/ecy.2028

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  2 in total

1.  Dispersal Kernels may be Scalable: Implications from a Plant Pathogen.

Authors:  Daniel H Farber; Patrick De Leenheer; Christopher C Mundt
Journal:  J Biogeogr       Date:  2019-07-02       Impact factor: 4.324

2.  Correlation of native and exotic species richness: a global meta-analysis finds no invasion paradox across scales.

Authors:  Shijia Peng; Nicole L Kinlock; Jessica Gurevitch; Shaolin Peng
Journal:  Ecology       Date:  2019-01       Impact factor: 5.499

  2 in total

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