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  Geostatistics as a tool to improve sampling and statistical analysis in wetlands: a case study on dynamics of organic matter distribution in the Pantanal of Mato Grosso, Brazil

Nogueira, F. M. d. B., Couto, E. G., & Bernardi, C. J. (2002). Geostatistics as a tool to improve sampling and statistical analysis in wetlands: a case study on dynamics of organic matter distribution in the Pantanal of Mato Grosso, Brazil. Brazilian Journal of Biology, 62(4B), 861-870.

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 Urheber:
Nogueira, Flávia Maria de Barros1, Autor           
Couto, E. G., Autor
Bernardi, C. J., Autor
Affiliations:
1Working Group Tropical Ecology, Max Planck Institute for Limnology, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_976549              

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Schlagwörter: geostatistics; sampling; organic matter; Pantanal of Mato Grosso
 Zusammenfassung: The Pantanal of Mato Grosso presents distinct landscape units: permanently, occasionally and periodically flooded areas. In the last ones, sampling is especially difficult due to the high heterogeneity occurring inter and intrastratas. This paper presents a comparison of different methodological approaches showing that they can influence decisively the knowledge of distribution organic matter dynamics. In such an area in order to understand the role of the flood pulse in the distribution dynamics of organic matter in a wetland at the Pantanal, we considered that there is spatial dependence between points. This consideration contradicts the classical statistic principle that focuses on the aleatority, and allowed the obtainment of a larger volume of information from a minor sampling effort, which means better performance, with time and money economy.

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Sprache(n): eng - English
 Datum: 2002
 Publikationsstatus: Erschienen
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 9775
Anderer: 2163/S 37881
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Titel: Brazilian Journal of Biology
  Alternativer Titel : Braz. J. Biol.
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 62 (4B) Artikelnummer: - Start- / Endseite: 861 - 870 Identifikator: ISSN: 1519-6984