Bird Community Composition in a Shaded Coffee Agro-ecological Matrix in Puebla, Mexico: The Effects of Landscape Heterogeneity at Multiple Spatial Scales
This study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which chara...
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| Vydáno v: | Biotropica Ročník 42; číslo 2; s. 236 - 245 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Malden, USA
Blackwell Publishing Inc
01.03.2010
Wiley Subscription Services Wiley |
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| ISSN: | 0006-3606, 1744-7429 |
| On-line přístup: | Získat plný text |
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| Abstract | This study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which characteristic spatial scale different species and foraging guilds respond most strongly we analyzed the effect of plot-, patch-and landscape-level variables at different spatial extent (i. e., different kilometer radii) on species composition and foraging guilds. We used redundancy analysis to identify species-environment correlations, and to identify predictor variables that best explained the bird community structure, quantified the influence of plot-, patch-and landscape-level variables on the bird community composition. In addition, we used the 4th-corner method to detect significant relationships between the dietary guilds and plot-, patch-and landscape-level variables. We recorded 12,335 individuals of 181 bird species; 105 bird species were recorded foraging within the shaded coffee plantations. We found that plot-and landscape-level variables significantly explained the bird community composition best across all scales, and were significantly correlated with the abundance of the dietary guilds. In contrast, patch-level variables were less important. Habitat composition variables (i. e., coffee, forest and agricultural area) were among the most important predictors. Canopy structure was more important than other vegetation structure variables in explaining dietary guild structure. Hence, the maintenance of a heterogeneous landscape with a high-quality matrix within an agro-ecological region enhances bird conservation. |
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| AbstractList | This study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which characteristic spatial scale different species and foraging guilds respond most strongly we analyzed the effect of plot‐, patch‐ and landscape‐level variables at different spatial extent (
i.e
., different kilometer radii) on species composition and foraging guilds. We used redundancy analysis to identify species–environment correlations, and to identify predictor variables that best explained the bird community structure, quantified the influence of plot‐, patch‐ and landscape‐level variables on the bird community composition. In addition, we used the 4th‐corner method to detect significant relationships between the dietary guilds and plot‐, patch‐ and landscape‐level variables. We recorded 12,335 individuals of 181 bird species; 105 bird species were recorded foraging within the shaded coffee plantations. We found that plot‐ and landscape‐level variables significantly explained the bird community composition best across all scales, and were significantly correlated with the abundance of the dietary guilds. In contrast, patch‐level variables were less important. Habitat composition variables (
i.e
., coffee, forest and agricultural area) were among the most important predictors. Canopy structure was more important than other vegetation structure variables in explaining dietary guild structure. Hence, the maintenance of a heterogeneous landscape with a high‐quality matrix within an agro‐ecological region enhances bird conservation.
Este estudio examinó la importancia de la heterogeneidad del hábitat en la composición de la comunidad de aves, también investigó la escala a la cual las abundancias de las especies responden a variables del hábitat. Este estudio se llevo a cabo en una matriz del paisaje diversificada en una región con cafetalera con café bajo sombra. Para detectar cuál es la escala característica en la que diferentes especies y sus gremios de alimentación responden más fuertemente, nosotros analizamos el efecto de variables al nivel de parcela, parche y paisaje en diferentes extensiones espaciales (
i.e.
, diferentes radios en kilómetros) en la composición de especies y sus gremios de alimentación. Nosotros utilizamos un análisis de redundancia (RDA por sus siglas en inglés) para identificar las correlaciones entre especies‐ambiente, y para identificar variables predictivas que explicaran mejor y significativamente la estructura de la comunidad de aves. Además, usamos el método de 4th‐corner para detectar las relaciones significativas entre los gremios de alimentación y variables a al nivel de parcela, parche y paisaje. Nosotros registramos 12,335 individuos de 181 especies de aves; de las cuales 105 especies de aves fueron registradas forrajeando en las plantaciones de café bajo sombra. Nosotros encontramos que las variables al nivel de parcela y paisaje explicaron significativamente la composición de la comunidad de aves a través de todas las escalas, y estuvieron significativamente correlacionadas con la abundancia de los gremios de alimentación. En contraste, las variables a nivel de parche fueron menos importantes. Las variables de composición de hábitat (
i.e.
, área de café, bosque y agricultura) estuvieron entre las variables predictivas más importantes. La estructura del dosel fue la variable más importante en comparación a otras variables estructurales de la vegetación para explicar la estructura de los gremios de alimentación. Por lo tanto, el mantenimiento de un paisaje heterogéneo con una matriz de alta calidad dentro de una región agro‐ecológica apoya la conservación de la avifauna. ABSTRACTThis study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which characteristic spatial scale different species and foraging guilds respond most strongly we analyzed the effect of plot-, patch- and landscape-level variables at different spatial extent (i.e., different kilometer radii) on species composition and foraging guilds. We used redundancy analysis to identify species-environment correlations, and to identify predictor variables that best explained the bird community structure, quantified the influence of plot-, patch- and landscape-level variables on the bird community composition. In addition, we used the 4th-corner method to detect significant relationships between the dietary guilds and plot-, patch- and landscape-level variables. We recorded 12,335 individuals of 181 bird species; 105 bird species were recorded foraging within the shaded coffee plantations. We found that plot- and landscape-level variables significantly explained the bird community composition best across all scales, and were significantly correlated with the abundance of the dietary guilds. In contrast, patch-level variables were less important. Habitat composition variables (i.e., coffee, forest and agricultural area) were among the most important predictors. Canopy structure was more important than other vegetation structure variables in explaining dietary guild structure. Hence, the maintenance of a heterogeneous landscape with a high-quality matrix within an agro-ecological region enhances bird conservation.Abstract in Spanish is available at http://www.blackwell-synergy.com/loi/btp ABSTRACT This study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which characteristic spatial scale different species and foraging guilds respond most strongly we analyzed the effect of plot‐, patch‐ and landscape‐level variables at different spatial extent (i.e., different kilometer radii) on species composition and foraging guilds. We used redundancy analysis to identify species–environment correlations, and to identify predictor variables that best explained the bird community structure, quantified the influence of plot‐, patch‐ and landscape‐level variables on the bird community composition. In addition, we used the 4th‐corner method to detect significant relationships between the dietary guilds and plot‐, patch‐ and landscape‐level variables. We recorded 12,335 individuals of 181 bird species; 105 bird species were recorded foraging within the shaded coffee plantations. We found that plot‐ and landscape‐level variables significantly explained the bird community composition best across all scales, and were significantly correlated with the abundance of the dietary guilds. In contrast, patch‐level variables were less important. Habitat composition variables (i.e., coffee, forest and agricultural area) were among the most important predictors. Canopy structure was more important than other vegetation structure variables in explaining dietary guild structure. Hence, the maintenance of a heterogeneous landscape with a high‐quality matrix within an agro‐ecological region enhances bird conservation. RESUMEN Este estudio examinó la importancia de la heterogeneidad del hábitat en la composición de la comunidad de aves, también investigó la escala a la cual las abundancias de las especies responden a variables del hábitat. Este estudio se llevo a cabo en una matriz del paisaje diversificada en una región con cafetalera con café bajo sombra. Para detectar cuál es la escala característica en la que diferentes especies y sus gremios de alimentación responden más fuertemente, nosotros analizamos el efecto de variables al nivel de parcela, parche y paisaje en diferentes extensiones espaciales (i.e., diferentes radios en kilómetros) en la composición de especies y sus gremios de alimentación. Nosotros utilizamos un análisis de redundancia (RDA por sus siglas en inglés) para identificar las correlaciones entre especies‐ambiente, y para identificar variables predictivas que explicaran mejor y significativamente la estructura de la comunidad de aves. Además, usamos el método de 4th‐corner para detectar las relaciones significativas entre los gremios de alimentación y variables a al nivel de parcela, parche y paisaje. Nosotros registramos 12,335 individuos de 181 especies de aves; de las cuales 105 especies de aves fueron registradas forrajeando en las plantaciones de café bajo sombra. Nosotros encontramos que las variables al nivel de parcela y paisaje explicaron significativamente la composición de la comunidad de aves a través de todas las escalas, y estuvieron significativamente correlacionadas con la abundancia de los gremios de alimentación. En contraste, las variables a nivel de parche fueron menos importantes. Las variables de composición de hábitat (i.e., área de café, bosque y agricultura) estuvieron entre las variables predictivas más importantes. La estructura del dosel fue la variable más importante en comparación a otras variables estructurales de la vegetación para explicar la estructura de los gremios de alimentación. Por lo tanto, el mantenimiento de un paisaje heterogéneo con una matriz de alta calidad dentro de una región agro‐ecológica apoya la conservación de la avifauna. This study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which characteristic spatial scale different species and foraging guilds respond most strongly we analyzed the effect of plot-, patch- and landscape-level variables at different spatial extent (i.e., different kilometer radii) on species composition and foraging guilds. We used redundancy analysis to identify species–environment correlations, and to identify predictor variables that best explained the bird community structure, quantified the influence of plot-, patch- and landscape-level variables on the bird community composition. In addition, we used the 4th-corner method to detect significant relationships between the dietary guilds and plot-, patch- and landscape-level variables. We recorded 12,335 individuals of 181 bird species; 105 bird species were recorded foraging within the shaded coffee plantations. We found that plot- and landscape-level variables significantly explained the bird community composition best across all scales, and were significantly correlated with the abundance of the dietary guilds. In contrast, patch-level variables were less important. Habitat composition variables (i.e., coffee, forest and agricultural area) were among the most important predictors. Canopy structure was more important than other vegetation structure variables in explaining dietary guild structure. Hence, the maintenance of a heterogeneous landscape with a high-quality matrix within an agro-ecological region enhances bird conservation This study examined the importance of habitat heterogeneity on the avian community composition, and investigated the scale at which species abundances respond to habitat variables. The study was conducted within a diverse landscape matrix of a shaded coffee region in Mexico. To detect at which characteristic spatial scale different species and foraging guilds respond most strongly we analyzed the effect of plot-, patch-and landscape-level variables at different spatial extent (i. e., different kilometer radii) on species composition and foraging guilds. We used redundancy analysis to identify species-environment correlations, and to identify predictor variables that best explained the bird community structure, quantified the influence of plot-, patch-and landscape-level variables on the bird community composition. In addition, we used the 4th-corner method to detect significant relationships between the dietary guilds and plot-, patch-and landscape-level variables. We recorded 12,335 individuals of 181 bird species; 105 bird species were recorded foraging within the shaded coffee plantations. We found that plot-and landscape-level variables significantly explained the bird community composition best across all scales, and were significantly correlated with the abundance of the dietary guilds. In contrast, patch-level variables were less important. Habitat composition variables (i. e., coffee, forest and agricultural area) were among the most important predictors. Canopy structure was more important than other vegetation structure variables in explaining dietary guild structure. Hence, the maintenance of a heterogeneous landscape with a high-quality matrix within an agro-ecological region enhances bird conservation. |
| Author | Toledo, Víctor M. Leyequién, Eurídice de Boer, W.F. |
| Author_xml | – sequence: 1 givenname: Eurídice surname: Leyequién fullname: Leyequién, Eurídice organization: Resource Ecology Group, Wageningen University, Droevendaalsesteeg 3a, 6708 PB Wageningen, The Netherlands – sequence: 2 givenname: W.F. surname: de Boer fullname: de Boer, W.F. organization: Resource Ecology Group, Wageningen University, Droevendaalsesteeg 3a, 6708 PB Wageningen, The Netherlands – sequence: 3 givenname: Víctor M. surname: Toledo fullname: Toledo, Víctor M. organization: Centro de Investigaciones en Ecosistemas, Universidad Nacional Autónoma de México, Morelia, CP 58190, México |
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| Keywords | Community structure Puebla Mexico Composition agricultural landscapes redundancy analysis Rural environment 4th-corner method Fauna Redundancy Tropical zone Rural landscape Ecology Method Coffee Agroecology avifauna Heterogeneity Vertebrata Animal community Habitat Aves habitat heterogeneity |
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| SubjectTerms | 4th-corner method agricultural landscapes Animal, plant and microbial ecology Applied ecology Aves avifauna biodiversity conservation Biological and medical sciences Birds breeding birds canopy Coffee plantations community structure Conservation, protection and management of environment and wildlife diversity dynamic landscapes environment relationships foraging Forest canopy Forest conservation forest fragmentation Forest habitats forests Fundamental and applied biological sciences. Psychology General aspects Habitat conservation habitat fragmentation habitat heterogeneity habitats Insectivores Landscapes Mexico patch size plantations redundancy analysis Species species diversity tropical agroecosystems Tropical Biology Vegetation structure Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution |
| Title | Bird Community Composition in a Shaded Coffee Agro-ecological Matrix in Puebla, Mexico: The Effects of Landscape Heterogeneity at Multiple Spatial Scales |
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