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Spatial patterns of distribution and abundance of Harrisia portoricensis, an endangered Caribbean cactus

Aims The spatial distribution of biotic and abiotic factors may play a dominant role in determining the distribution and abundance of plants in arid and semiarid environments. In this study, we evaluated how spatial patterns of microhabitat variables and the degree of spatial dependence of these var...

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Bibliographic Details
Published in:Journal of plant ecology 2013-12, Vol.6 (6), p.489-498
Main Authors: Rojas-Sandoval, J., Melendez-Ackerman, E. J.
Format: Article
Language:English
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Summary:Aims The spatial distribution of biotic and abiotic factors may play a dominant role in determining the distribution and abundance of plants in arid and semiarid environments. In this study, we evaluated how spatial patterns of microhabitat variables and the degree of spatial dependence of these variables influence the distribution and abundance of the endangered cactus Harrisia portoricensis. Methods We used geostatistical analyses of five microhabitat variables (e.g. vegetation cover, soil cover and light incidence) and recorded the abundance of H. portoricensis in 50 permanent plots established across Mona Island, Puerto Rico, by the United States Department of Agriculture Forest Service as part of the Forest Inventory and Analysis (USDA-FIA). We also used partial Mantel tests to evaluate the relationships between microhabitat variables and abundance of H. portoricensis, controlling for spatial autocorrelation. Important findings Abundance of H. portoricensis showed strong affinities with microhabitat variables related to canopy structure, soil cover and light environment. The distribution of this cactus species throughout the island was consistent with the spatial variation patterns of these variables. In general, landscape-level analyses suggested a predictive value of microhabitat traits for the distribution and abundance of this endangered species. For sensitive cacti species, wherein abundance may be influenced by similar variables, these types of analyses may be helpful in developing management plans and identifying critical habitats for conservation.
ISSN:1752-9921
1752-993X
DOI:10.1093/jpe/rtt014