An Ecological Model for Predicting Behaviour of Mediterranean Shrublands
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http://hdl.handle.net/10045/52269
Título: | An Ecological Model for Predicting Behaviour of Mediterranean Shrublands |
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Autor/es: | Usó i Domènech, Josep Lluís | Nescolarde-Selva, Josué Antonio | Lloret-Climent, Miguel | González-Franco, Lucía |
Grupo/s de investigación o GITE: | Sistémica, Cibernética y Optimización (SCO) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Matemática Aplicada |
Palabras clave: | Allometric equations | Biomass | Flow equations | Multiple regression | State equations | Transformed functions |
Área/s de conocimiento: | Matemática Aplicada |
Fecha de publicación: | ene-2016 |
Editor: | Science and Education Publishing |
Cita bibliográfica: | American Journal of Systems and Software. 2016, 4(1): 1-13. doi:10.12691/ajss-4-1-1 |
Resumen: | In order to build dynamic models for prediction and management of degraded Mediterranean forest areas was necessary to build MARIOLA model, which is a calculation computer program. This model includes the following subprograms. 1) bioshrub program, which calculates total, green and woody shrubs biomass and it establishes the time differences to calculate the growth. 2) selego program, which builds the flow equations from the experimental data. It is based on advanced procedures of statistical multiple regression. 3) VEGETATION program, which solves the state equations with Euler or Runge-Kutta integration methods. Each one of these subprograms can act as independent or as linked programs. |
URI: | http://hdl.handle.net/10045/52269 |
ISSN: | 2372-708X (Print) | 2372-7071 (Online) |
DOI: | 10.12691/ajss-4-1-1 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2016 Science and Education Publishing |
Revisión científica: | si |
Versión del editor: | http://pubs.sciepub.com/ajss/4/1/1/index.html |
Aparece en las colecciones: | INV - SYC - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2016_Uso_etal_AJSS.pdf | 247,28 kB | Adobe PDF | Abrir Vista previa | |
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