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Estimating species distribution and abundance in river networks using environmental DNA.
Carraro, Luca; Hartikainen, Hanna; Jokela, Jukka; Bertuzzo, Enrico; Rinaldo, Andrea.
Afiliación
  • Carraro L; Laboratory of Ecohydrology, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland; andrea.rinaldo@epfl.ch luca.carraro@epfl.ch.
  • Hartikainen H; Aquatic Ecology Group, Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Dübendorf, Switzerland.
  • Jokela J; Institute of Integrative Biology, Eidgenössiche Technische Hochschule Zürich, CH-8092 Zurich, Switzerland.
  • Bertuzzo E; Aquatic Ecology Group, Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Dübendorf, Switzerland.
  • Rinaldo A; Institute of Integrative Biology, Eidgenössiche Technische Hochschule Zürich, CH-8092 Zurich, Switzerland.
Proc Natl Acad Sci U S A ; 115(46): 11724-11729, 2018 11 13.
Article en En | MEDLINE | ID: mdl-30373831
ABSTRACT
All organisms leave traces of DNA in their environment. This environmental DNA (eDNA) is often used to track occurrence patterns of target species. Applications are especially promising in rivers, where eDNA can integrate information about populations upstream. The dispersion of eDNA in rivers is modulated by complex processes of transport and decay through the dendritic river network, and we currently lack a method to extract quantitative information about the location and density of populations contributing to the eDNA signal. Here, we present a general framework to reconstruct the upstream distribution and abundance of a target species across a river network, based on observed eDNA concentrations and hydro-geomorphological features of the network. The model captures well the catchment-wide spatial biomass distribution of two target species a sessile invertebrate (the bryozoan Fredericella sultana) and its parasite (the myxozoan Tetracapsuloides bryosalmonae). Our method is designed to easily integrate general biological and hydrological data and to enable spatially explicit estimates of the distribution of sessile and mobile species in fluvial ecosystems based on eDNA sampling.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Hidrología / Biomarcadores Ambientales Límite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Hidrología / Biomarcadores Ambientales Límite: Animals Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2018 Tipo del documento: Article