Assessing and comparing relationships between ecosystem functioning and species diversity across forest ecosystems
"Ecosystems are the fundamental unit in ecology, it is at this level that fundamental processes for the ecosystem functions are made; in recent years it has been proved that this processes are positively related to the species diversity, nevertheless, there are no global studies that could actu...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis de maestría |
| Estado: | Versión publicada |
| Fecha de publicación: | 2012 |
| País: | México |
| Institución: | Instituto Potosino de Investigación Científica y Tecnológica |
| Repositorio: | Repositorio Institucional del IPICYT |
| OAI Identifier: | oai:ipicyt.repositorioinstitucional.mx:1010/1513 |
| Acceso en línea: | http://ipicyt.repositorioinstitucional.mx/jspui/handle/1010/1513 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/Autor/Ecosystems info:eu-repo/classification/Autor/Ecosystem function, info:eu-repo/classification/Autor/Species diversity info:eu-repo/classification/Autor/Monte Carlo Simulation. info:eu-repo/classification/cti/2 info:eu-repo/classification/cti/24 info:eu-repo/classification/cti/2417 info:eu-repo/classification/cti/241713 |
| Sumario: | "Ecosystems are the fundamental unit in ecology, it is at this level that fundamental processes for the ecosystem functions are made; in recent years it has been proved that this processes are positively related to the species diversity, nevertheless, there are no global studies that could actually define this relation. The principal goal for this research is to implement a new methodology to evaluate the relationships between ecosystem function and species diversity at a global scale. In order to use this methodology it was necessary to use the databases of A.H. Gentry from the SALVIAS project which contain information from more than 200 forests worldwide. With this information, Monte Carlo simulations were carried out (re-sampling proportional to the sample size) for each database, and the shape of the curve was observed as a result of the mean of the accumulated biomass groups as the species richness increased. Afterwards, regressions were applied (with the formula F = αSβ) in order to classify the curves according to the parameters of the curve α and β. These parameters were later compared with several biotic and abiotic factors (Holdridge life-zones, precipitation, elevation, latitude and species richness). We got 152 positive deceleration response curves, 39 positive quasilinear and 7 positive accelerative curves, a clear relationship was observed between α and β parameters and the Holdridge life-zones, in addition tendency curves were appreciated when comparing the parameters with elevation, latitude and species richness." |
|---|