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Management intensity affects the relationship between non-native and native species in subtropical wetlands.

Authors :
Boughton, Elizabeth H.
Quintana-Ascencio, Pedro F.
Nickerson, David
Bohlen, Patrick J.
Source :
Applied Vegetation Science. Apr2011, Vol. 14 Issue 2, p210-220. 11p.
Publication Year :
2011

Abstract

Question: Does management intensity affect the association between non-native and native species and between non-native species and soil nutrients in wetlands? Location: MacArthur Agro-Ecology Research Center, Florida, USA. Methods: We evaluated native and non-native plant richness and relative frequency in 15 1-m2 plots in 40 wetlands across two types of pastures, highly managed (fertilized, ditched, planted, heavily grazed by cattle) and semi-natural (unfertilized, lightly seasonally grazed). Plant biomass was collected in five 0.25-m2 plots per wetland and sorted to species. Soil cores were collected to analyse soil total nitrogen (N) and phosphorus (P). An information-theoretic approach was used to compare mixed effects models considering the association of non-native richness, relative frequency, and biomass with native richness, relative frequency, biomass, C3 grass relative frequency (a dominant native group), N, P and wetland-type. Results: Non-native richness was negatively correlated with native richness in semi-natural wetlands, but there was no evidence of an association between these variables in highly managed wetlands. Non-native richness increased with increasing soil N in semi-natural wetlands, but not in the highly managed wetlands. Soil P was positively related to non-native frequency in semi-natural wetlands but negatively related in highly managed wetlands. Non-native frequency and biomass were negatively related to relative frequency of C3 grasses in both management types. Conclusions: Our results indicate that management intensity influences relationships between native and non-native richness. Management intensity interacts with abiotic or biotic factors, such as soil nutrients and composition, in predicting where non-native species will most likely need control. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14022001
Volume :
14
Issue :
2
Database :
Academic Search Index
Journal :
Applied Vegetation Science
Publication Type :
Academic Journal
Accession number :
64860691
Full Text :
https://doi.org/10.1111/j.1654-109X.2010.01116.x