Why coordinated distributed experiments should go global

The performance of coordinated distributed experiments designed to compare ecosystem sensitivity to global-change drivers depends on whether they cover a significant proportion of the global range of environmental variables. In the present article, we described the global distribution of climatic an...

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Detalles Bibliográficos
Autores: Yahdjian, María Laura, Sala, Osvaldo Esteban, Piñeiro Guerra, Juan Manuel, Knapp, Alan K., Collins, Scott L., Phillips, Richard P., Smith, Melinda D.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/168188
Acceso en línea:http://hdl.handle.net/11336/168188
Access Level:acceso abierto
Palabra clave:CLIMATE CHANGE
CLIMATE-SOIL PARAMETER SPACE
COORDINATED-DISTRIBUTED EXPERIMENTS
DROUGHT
ECOSYSTEM SENSITIVITY
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
Descripción
Sumario:The performance of coordinated distributed experiments designed to compare ecosystem sensitivity to global-change drivers depends on whether they cover a significant proportion of the global range of environmental variables. In the present article, we described the global distribution of climatic and soil variables and quantified main differences among continents. Then, as a test case, we assessed the representativeness of the International Drought Experiment (IDE) in parameter space. Considering the global environmental variability at this scale, the different continents harbor unique combinations of parameters. As such, coordinated experiments set up across a single continent may fail to capture the full extent of global variation in climate and soil parameter space. IDE with representation on all continents has the potential to address global scale hypotheses about ecosystem sensitivity to environmental change. Our results provide a unique vision of climate and soil variability at the global scale and highlight the need to design globally distributed networks.