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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Otros Autores: Yahdjian, María Laura, Sala, Osvaldo Esteban, Piñeiro Guerra, Juan Manuel, Knapp, Alan K., Collins, Scott L., Phillips, Richard P., Smith, Melinda D.
Formato: Artículo
Lenguaje:Inglés
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Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2021yahdjian.pdf
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520 |a 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. 
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650 |2 Agrovoc  |9 26 
653 |a CLIMATE CHANGE 
653 |a CLIMATE-SOIL PARAMETER SPACE 
653 |a COORDINATED-DISTRIBUTED EXPERIMENTS 
653 |a DROUGHT 
653 |a ECOSYSTEM SENSITIVITY 
700 1 |a Yahdjian, María Laura  |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina.  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Recursos Naturales y Ambiente. Cátedra de Ecología. Buenos Aires, Argentina.  |9 16176 
700 1 |a Sala, Osvaldo Esteban  |u Arizona State University. School of Life Sciences. Tempe, Arizona, United States.  |u Arizona State University. School of Sustainability. Tempe, Arizona, United States.  |u Arizona State University. Global Drylands Center. Tempe, Arizona, United States.  |9 21158 
700 1 |a Piñeiro Guerra, Juan Manuel  |u Universidade Federal da Paraíba. Centro de Ciências Exatas e da Natureza. Departamento de Sitemática e Ecologia. Laboratorio de Ecologia Aplicada e Conservação. João Pessoa, Brasil.  |9 37040 
700 1 |a Knapp, Alan K.  |u Colorado State University. Fort Collins, Colorado, United States.  |9 67348 
700 1 |a Collins, Scott L.  |u University of New Mexico. Department of Biology. Albuquerque, New Mexico, United States.  |9 67351 
700 1 |a Phillips, Richard P.  |u Indiana University. Department of Biology. IU Research and Teaching Preserve. Bloomington, Indiana, United States.  |9 74841 
700 1 |a Smith, Melinda D.  |u Colorado State University. Department of Biology. Fort Collins, Colorado, United States.  |u Colorado State University. Semiarid Grassland Research Center Fort Collins. Colorado, United States.  |9 74842 
773 0 |t Bioscience  |w (AR-BaUFA)SECS001162  |g Vol.71 No. 9 (2021), p.918-927, grafs. 
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