Scaling properties reveal regulation of river flows in the Amazon through a “forest reservoir”

ABSTRACT: Many natural and social phenomena depend on river flow regimes that are being altered by global change. Understanding the mechanisms behind such alterations is crucial for predicting river flow regimes in a changing environment. Here we introduce a novel physical interpretation of the scal...

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Autores:
Villegas Palacio, Juan Camilo
Rendón Pérez, Angela María
Rodríguez Pulgarín, Estiven
Hoyos Rincón, Isabel Cristina
Mercado Bettín, Daniel Augusto
Poveda Jaramillo, Germán
Tipo de recurso:
Article of investigation
Fecha de publicación:
2018
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/12783
Acceso en línea:
http://hdl.handle.net/10495/12783
Palabra clave:
Regulación de caudales de ríos
Ríos del Amazonas
Reservorio forestal
Rights
openAccess
License
https://creativecommons.org/licenses/by/2.5/co/
Description
Summary:ABSTRACT: Many natural and social phenomena depend on river flow regimes that are being altered by global change. Understanding the mechanisms behind such alterations is crucial for predicting river flow regimes in a changing environment. Here we introduce a novel physical interpretation of the scaling properties of river flows and show that it leads to a parsimonious characterization of the flow regime of any river basin. This allows river basins to be classified as regulated or unregulated, and to identify a critical threshold between these states.We applied this framework to the Amazon river basin and found both states among its main tributaries. Then we introduce the “forest reservoir” hypothesis to describe the natural capacity of river basins to regulate river flows through land–atmosphere interactions (mainly precipitation recycling) that depend strongly on the presence of forests. A critical implication is that forest loss can force the Amazonian river basins from regulated to unregulated states. Our results provide theoretical and applied foundations for predicting hydrological impacts of global change, including the detection of early-warning signals for critical transitions in river basins.