Assessing sustainability in North America's ecosystems using criticality and information theory


Por: Ramírez-Carrillo E., López-Corona O., Toledo-Roy J.C., Lovett J.C., de León-González F., Osorio-Olvera L., Equihua J., Robredo E., Frank A., Dirzo R., Pérez-Cirera V.

Publicada: 16 jul 2018
Resumen:
Sustainability is a key concept in economic and policy debates. Nevertheless, it is usually treated only in a qualitative way and has eluded quantitative analysis. Here, we propose a sustainability index based on the premise that sustainable systems do not lose or gain Fisher Information over time. We test this approach using time series data from the Ameri-Flux network that measures ecosystem respiration, water and energy fluxes in order to elucidate two key sustainability features: ecosystem health and stability. A novel definition of ecosystem health is developed based on the concept of criticality, which implies that if a system's fluctuations are scale invariant then the system is in a balance between robustness and adaptability. We define ecosystem stability by taking an information theory approach that measures its entropy and Fisher information. Analysis of the Ameriflux consortium big data set of ecosystem respiration time series is contrasted with land condition data. In general we find a good agreement between the sustainability index and land condition data. However, we acknowledge that the results are a preliminary test of the approach and further verification will require a multi-signal analysis. For example, high values of the sustainability index for some croplands are counter-intuitive and we interpret these results as ecosystems maintained in artificial health due to continuous human-induced inflows of matter and energy in the form of soil nutrients and control of competition, pests and disease.

Filiaciones:
Ramírez-Carrillo E.:
 Doctorado en Ciencias Agropecuarias, Universidad Autónoma Metropolitana-Xochimilco, Ciudad de México, Mexico

López-Corona O.:
 Cátedra CONACyT, Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Ciudad de México, Mexico

 Red Ambiente y Sustentabilidad, Instituto de Ecología A.C. de México (INECOL), Xalapa, Mexico

 Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico

Toledo-Roy J.C.:
 Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico

 Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico

Lovett J.C.:
 School of Geography, University of Leeds, Leeds, United Kingdom

 Royal Botanic Gardens, Kew, Richmond, Surrey, United Kingdom

de León-González F.:
 Departamento de Producción Agrícola y Animal, Universidad Autónoma Metropolitana-Xochimilco, Ciudad de México, Mexico

Osorio-Olvera L.:
 Posgrado en Ciencias Biológicas, Faultad de Ciencias, Universidad Nacional Autónoma de México, Ciudad de México, Mexico

Equihua J.:
 Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Ciudad de México, Mexico

Robredo E.:
 Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Ciudad de México, Mexico

Frank A.:
 Centro de Ciencias de la Complejidad (C3), Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico

 Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de Mexico, Ciudad de Mexico, Mexico

 Miembro del Colegio Nacional, Ciudad de México, Mexico

Dirzo R.:
 Biology Department, Stanford University, Stanford, United States

Pérez-Cirera V.:
 Instituto de Investigación para el Desarrollo con Equidad (EQUIDE), Universidad Iberoamericana, Ciudad de México, Mexico
ISSN: 19326203
Editorial
PUBLIC LIBRARY SCIENCE, 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA, Estados Unidos America
Tipo de documento: Article
Volumen: 13 Número: 7
Páginas:
WOS Id: 000438829800018
ID de PubMed: 30011317