Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual
Most current techniques for classifying ecological community data are intended to typify discrete groups. However, ecological communities are not separated by distinct boundaries and some mixing between neighbouring communities occurs. Another aspect of these classifications is that they assume that...
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| Format: | Online |
| Langue: | spa |
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Instituto de Ecología, A.C.
1991
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| Accès en ligne: | https://abm.ojs.inecol.mx/index.php/abm/article/view/616 |
| _version_ | 1799771155639304192 |
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| author | Equihua, Miguel |
| author_facet | Equihua, Miguel |
| author_sort | Equihua, Miguel |
| collection | ABM |
| description | Most current techniques for classifying ecological community data are intended to typify discrete groups. However, ecological communities are not separated by distinct boundaries and some mixing between neighbouring communities occurs. Another aspect of these classifications is that they assume that the entities within each group are all equivalent, i.e. all of them will show the same characteristics or will have the same rank within the group. This is an over simplification since the structure of natural communities has been shown to vary as their component species respond more or less independently to environmental gradiente; thus, both overlapping and internal heterogeneity are importan! features of ecological communities that cannot be incorporated easily in conventional classification approaches. In this paper, it is proposed that fuzzy set theory provides a conceptual basis which overcomes the limitationsof conventional approaches.The fuzzy /c-means algorithm was used to classify a vegetation sample from the región of the biosphere reserve ‘La Michilía’, in the State of Durango, México. This fuzzy classification was compared with a conventional classification produced by the TWINSPAN program. It was reckoned that four groups were a suitable representaron of the vegetation of the area. It was interpretad that two of the groups were mixtures of deciduous tropical forest, xerophytic shrubland, grassland and oak-pine forest. The other two groups are oak-pine foreste. All of the groups can be arranged along a main gradient of aridity.The resulte suggest that a fuzzy set classification of vegetation data is appropriate and useful. It is shown that the groups formed give a sensible description of the ecological communities while also retaining the information on the natural variation and mixing between them. It is also demonstrated thatthese groups can be analysed in terms of their association with external variables, providing a good insight into the ecoiogy of the component species and the factors influencing the structure of each community. |
| format | Online |
| id | oai:oai.abm.ojs.inecol.mx:article-616 |
| institution | Acta Botanica Mexicana |
| language | spa |
| publishDate | 1991 |
| publisher | Instituto de Ecología, A.C. |
| record_format | ojs |
| spelling | oai:oai.abm.ojs.inecol.mx:article-6162023-02-01T23:33:32Z Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual Equihua, Miguel Most current techniques for classifying ecological community data are intended to typify discrete groups. However, ecological communities are not separated by distinct boundaries and some mixing between neighbouring communities occurs. Another aspect of these classifications is that they assume that the entities within each group are all equivalent, i.e. all of them will show the same characteristics or will have the same rank within the group. This is an over simplification since the structure of natural communities has been shown to vary as their component species respond more or less independently to environmental gradiente; thus, both overlapping and internal heterogeneity are importan! features of ecological communities that cannot be incorporated easily in conventional classification approaches. In this paper, it is proposed that fuzzy set theory provides a conceptual basis which overcomes the limitationsof conventional approaches.The fuzzy /c-means algorithm was used to classify a vegetation sample from the región of the biosphere reserve ‘La Michilía’, in the State of Durango, México. This fuzzy classification was compared with a conventional classification produced by the TWINSPAN program. It was reckoned that four groups were a suitable representaron of the vegetation of the area. It was interpretad that two of the groups were mixtures of deciduous tropical forest, xerophytic shrubland, grassland and oak-pine forest. The other two groups are oak-pine foreste. All of the groups can be arranged along a main gradient of aridity.The resulte suggest that a fuzzy set classification of vegetation data is appropriate and useful. It is shown that the groups formed give a sensible description of the ecological communities while also retaining the information on the natural variation and mixing between them. It is also demonstrated thatthese groups can be analysed in terms of their association with external variables, providing a good insight into the ecoiogy of the component species and the factors influencing the structure of each community. La mayoría de las técnicas de clasificación de muestras de comunidades ecológicas están orientadas a caracterizar grupos discretos. Sin embargo las comunidades ecológicas no están separadas por límites precisos, por el contrario existe mezcla entre ellas. Otra característica de este tipo de clasificaciones es que llevan a suponer que los elementos comprendidos dentro de una clase son todos equivalentes, es decir, todos ellos muestran las mismas características o tienen el mismo rango dentro del grupo. Esto es una simplificación excesiva para el caso de comunidades ecológicas, puesto que se ha demostrado que su estructura varía conforme las especies componentes responden de manera más o menos independiente a los gradientes ambientales. En consecuencia tanto el traslape como la heterogeneidad interna son características importantes de las comunidades ecológicas, atributos que no pueden incorporarse fácilmente con los enfoques convencionales de clasificación. En este artículo se propone que el uso de la teoría de conjuntos difusos, como una base conceptual alternativa, es apropiada para representar las comunidades ecológicas en forma más satisfactoria.La técnica difusa de k-medias se empleó para clasificar una muestra de vegetación de la región de la Reserva de la Biósfera La Michilía, ubicada en el estado de Durango, México. Esta clasificación difusa se contrastó contra la de tipo convencional elaborada con el programa TWINSPAN. Se consideró que cuatro grupos representan satisfactoriamente la vegetación del área. Se interpretó que dos de los grupos corresponden a mezclas entre selva baja caducifolia, matorral xerófilo, pastizal y bosque de encinopino. Los otros dos son bosques de pino y encino. Todos los grupos se pueden ordenar sobre un gradienteprincipal de aridez.Los resultados sugieren que una clasificación difusa de la vegetación es apropiada y útil. Se muestra que los grupos formados proporcionan una descripción coherente de las comunidades del área, en la que se conserva la información relativa a la variación natural y a la mezcla entre ellas. Se demuestra también que estos grupos pueden ser analizados en términos de su asociación con variables externas, lo que proporciona información sobre la ecología de las especies componentes y los factores que influyen sobre la estructura de cada comunidad. Instituto de Ecología, A.C. 1991-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion artículo evaluado por pares application/pdf https://abm.ojs.inecol.mx/index.php/abm/article/view/616 10.21829/abm15.1991.616 Acta Botanica Mexicana; No. 15 (1991); 1-16 Acta Botanica Mexicana; Núm. 15 (1991); 1-16 2448-7589 0187-7151 spa https://abm.ojs.inecol.mx/index.php/abm/article/view/616/782 Derechos de autor 2016 Acta Botanica Mexicana https://creativecommons.org/licenses/by-nc/4.0 |
| spellingShingle | Equihua, Miguel Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| title | Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| title_full | Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| title_fullStr | Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| title_full_unstemmed | Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| title_short | Análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| title_sort | análisis de la vegetación empleando la teoría de conjuntos difusos como base conceptual |
| url | https://abm.ojs.inecol.mx/index.php/abm/article/view/616 |
| work_keys_str_mv | AT equihuamiguel analisisdelavegetacionempleandolateoriadeconjuntosdifusoscomobaseconceptual |
