La teoría de la sucesión en perspectiva de la epistemología genética: análisis metateórico de la complejidad en Patagonia Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.22201/ceiich.24485705e.2024.33.88244
En este trabajo se desarrolla un análisis metateórico de la sucesión, a la luz de las ciencias físicas y biológicas, con el objeto de evaluar su capacidad predictiva en un caso concreto: la introducción de plantas euroasiáticas a la Patagonia. La teoría de la sucesión es uno de los cuerpos de conocimientos más desarrollados y consistentes del campo de la ecología. Con casi un siglo de desarrollo de enunciados que han robustecido su poder predictivo, no es aún una herramienta del todo aceptada para alcanzar la comprensión de los problemas de investigación en ecología y medio ambiente. La riqueza de observaciones y enunciados empíricos configuran tanto la robustez como la deficiencia por la escasa coherencia argumentativa entre ellos. La sucesión no escapa del contexto del debate epistemológico de las teorías biológicas y de la evolución por selección natural en particular, tan complejas como de difícil postulación para enunciados taxativos o “elegantes” como en la física y la química clásica. Pero la historia de la sucesión en perspectiva “piagetana” guarda avances y retrocesos que contrastan satisfactoriamente con las observaciones y con otros progresos en campos teóricos de la teoría de sistemas, la física probabilística, y, sin descontar la propia evolución epistemológica de las teorías biológicas, que la consolidan con gran poder predictivo y campo de desarrollo de la ecología, a distintas escalas desde poblaciones hasta paisajes.
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- es
- Landing Page
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- https://www.revistas.unam.mx/index.php/inter/article/download/88244/77581
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https://doi.org/10.22201/ceiich.24485705e.2024.33.88244Digital Object Identifier
- Title
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La teoría de la sucesión en perspectiva de la epistemología genética: análisis metateórico de la complejidad en PatagoniaWork title
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articleOpenAlex work type
- Language
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esPrimary language
- Publication year
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2024Year of publication
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2024-05-01Full publication date if available
- Authors
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Leonardo Ariel Datri, Marcelo GandiniList of authors in order
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https://doi.org/10.22201/ceiich.24485705e.2024.33.88244Publisher landing page
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https://www.revistas.unam.mx/index.php/inter/article/download/88244/77581Direct link to full text PDF
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