How to describe species richness patterns for bryophyte conservation?

Details

Serval ID
serval:BIB_67A956E9804B
Type
Article: article from journal or magazin.
Collection
Publications
Title
How to describe species richness patterns for bryophyte conservation?
Journal
Ecology and Evolution
Author(s)
Hespanhol H., Cezon K., Felicisimo A.M., Munoz J., Mateo R.G.
ISSN
2045-7758
ISSN-L
2045-7758
Publication state
Published
Issued date
2015
Volume
5
Number
23
Pages
5443-5455
Language
english
Abstract
A large amount of data for inconspicuous taxa is stored in natural history collections; however, this information is often neglected for biodiversity patterns studies. Here, we evaluate the performance of direct interpolation of museum collections data, equivalent to the traditional approach used in bryophyte conservation planning, and stacked species distribution models (S-SDMs) to produce reliable reconstructions of species richness patterns, given that differences between these methods have been insufficiently evaluated for inconspicuous taxa. Our objective was to contrast if species distribution models produce better inferences of diversity richness than simply selecting areas with the higher species numbers. As model species, we selected Iberian species of the genus Grimmia (Bryophyta), and we used four well-collected areas to compare and validate the following models: 1) four Maxent richness models, each generated without the data from one of the four areas, and a reference model created using all of the data and 2) four richness models obtained through direct spatial interpolation, each generated without the data from one area, and a reference model created with all of the data. The correlations between the partial and reference Maxent models were higher in all cases (0.45 to 0.99), whereas the correlations between the spatial interpolation models were negative and weak (-0.3 to -0.06). Our results demonstrate for the first time that S-SDMs offer a useful tool for identifying detailed richness patterns for inconspicuous taxa such as bryophytes and improving incomplete distributions by assessing the potential richness of under-surveyed areas, filling major gaps in the available data. In addition, the proposed strategy would enhance the value of the vast number of specimens housed in biological collections.
Keywords
Biodiversity conservation, biological collections, bryophytes, richness models, species distribution models
Web of science
Open Access
Yes
Create date
21/01/2016 12:46
Last modification date
20/08/2019 15:23
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