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dc.contributor.author
Cingolani, Ana María
dc.contributor.author
Vaieretti, Maria Victoria
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Gurvich, Diego Ezequiel
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Giorgis, Melisa Adriana
dc.contributor.author
Cabido, Marcelo Ruben
dc.date.available
2017-04-07T18:14:54Z
dc.date.issued
2010-08
dc.identifier.citation
Cingolani, Ana María; Vaieretti, Maria Victoria; Gurvich, Diego Ezequiel; Giorgis, Melisa Adriana; Cabido, Marcelo Ruben; Predicting alfa, beta and gamma diversity from physiognomic and physical indicators as a tool for ecosystem monitoring; Elsevier; Biological Conservation; 143; 11; 8-2010; 2570-2577
dc.identifier.issn
0006-3207
dc.identifier.uri
http://hdl.handle.net/11336/14994
dc.description.abstract
We searched for predictive models for alpha, beta and gamma plant diversity based in easy to measure field indicators. The study was conducted on the upper belt of the Córdoba mountains (Argentina). We established 222 permanent plots of 4 × 4 m distributed on sites with different physiognomy, topography and management. At each plot we measured physical and physiognomic indicators and recorded the presence of all vascular plants. We estimated alpha diversity as the number of species detected in a plot, beta diversity as the floristic dissimilarity between two plots, and gamma diversity as the number of species detected in a landscape. Through linear regression we found predictive models for alpha and pair-wise beta diversity. Then we analysed if predicted average alpha and beta diversity were good estimators of gamma diversity. We recorded a total of 288 species (5–74 species per plot). Alpha diversity was highest in sites on shallow soils with high structural richness (i.e. high number of cover categories), half covered by lawns, at sunny slopes and rough landscapes (r2 = 0.66). For beta diversity, the difference between plots in structural richness and in cover of thick tussocks grasses and lawns were the best predictors (r2 = 0.45). For different sets of simulated landscapes, gamma diversity was well explained by predicted average alpha and beta diversity, plus the sampling effort (r2 = 0.92). We concluded that using easy to measure field indicators it is possible to estimate plant diversity at different levels with a good accuracy.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Botanic Dissimilarity
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Gamma Diversity
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Growths-Forms
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Landscape
dc.subject.classification
Conservación de la Biodiversidad
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.subject.classification
Conservación de la Biodiversidad
dc.subject.classification
Ciencias Biológicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Predicting alfa, beta and gamma diversity from physiognomic and physical indicators as a tool for ecosystem monitoring
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-03-30T18:23:12Z
dc.journal.volume
143
dc.journal.number
11
dc.journal.pagination
2570-2577
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Cingolani, Ana María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina; Argentina. Universidad Nacional de Córdoba; Argentina
dc.description.fil
Fil: Vaieretti, Maria Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina; Argentina. Universidad Nacional de Córdoba; Argentina
dc.description.fil
Fil: Gurvich, Diego Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina; Argentina. Universidad Nacional de Córdoba; Argentina
dc.description.fil
Fil: Giorgis, Melisa Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina; Argentina. Universidad Nacional de Córdoba; Argentina
dc.description.fil
Fil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina; Argentina. Universidad Nacional de Córdoba; Argentina
dc.journal.title
Biological Conservation
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://doi.org/10.1016/j.biocon.2010.06.026
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0006320710002922
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