Inferring Landscape-Scale Land-Use Impacts on Rivers Using Data from Mesocosm Experiments and Artificial Neural Networks

Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorphological context, land management, and correlations among responding variables such as nutrients and sediments. Furthermore, variations in standard metrics, such as substratum composition, do not nece...

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Detalles Bibliográficos
Autores principales: Magierowski, Regina H., Read, Steve M., Carter, Steven J. B., Warfe, Danielle M., Cook, Laurie S., Lefroy, Edward C., Davies, Peter E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361191/
https://www.ncbi.nlm.nih.gov/pubmed/25775245
http://dx.doi.org/10.1371/journal.pone.0120901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361191/
https://www.ncbi.nlm.nih.gov/pubmed/25775245
http://dx.doi.org/10.1371/journal.pone.0120901

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