Micro‐scale habitat associations of woody plants in a neotropical cloud forest
QUESTIONS: Species–habitat associations may contribute to the maintenance of species richness in tropical forests, but previous research has been conducted almost exclusively in lowland forests and has emphasized the importance of topography and edaphic conditions. Is the distribution of woody plant...
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| Published in | Journal of vegetation science Vol. 24; no. 6; pp. 1086 - 1097 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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Oxford
Opulus Press
01.11.2013
Blackwell Publishing Ltd Blackwell |
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| Abstract | QUESTIONS: Species–habitat associations may contribute to the maintenance of species richness in tropical forests, but previous research has been conducted almost exclusively in lowland forests and has emphasized the importance of topography and edaphic conditions. Is the distribution of woody plant species in a Peruvian cloud forest determined by microhabitat conditions? What is the role of environmental characteristics and forest structure in habitat partitioning in a tropical cloud forest? LOCATION: Cloud Forest, north Peruvian Andes. METHODS: We examined species–habitat associations in three 1‐ha plots using the torus‐translation method. We used three different criteria to define habitats for habitat partitioning analyses, based on microtopography, forest structure and both sets of factors. The number of species associated either positively or negatively with each habitat was assessed. RESULTS: Habitats defined on the basis of environmental conditions and forest structure discriminated a greater number of positive and negative associations at the scale of our analyses in a tropical cloud forest. CONCLUSIONS: Both topographic conditions and forest structure contribute to small‐scale microhabitat partitioning of woody plant species in a Peruvian tropical cloud forest. Nevertheless, canopy species were most correlated with the distribution of environmental variables, while understorey species displayed associations with forest structure. |
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| AbstractList | QUESTIONS: Species–habitat associations may contribute to the maintenance of species richness in tropical forests, but previous research has been conducted almost exclusively in lowland forests and has emphasized the importance of topography and edaphic conditions. Is the distribution of woody plant species in a Peruvian cloud forest determined by microhabitat conditions? What is the role of environmental characteristics and forest structure in habitat partitioning in a tropical cloud forest? LOCATION: Cloud Forest, north Peruvian Andes. METHODS: We examined species–habitat associations in three 1‐ha plots using the torus‐translation method. We used three different criteria to define habitats for habitat partitioning analyses, based on microtopography, forest structure and both sets of factors. The number of species associated either positively or negatively with each habitat was assessed. RESULTS: Habitats defined on the basis of environmental conditions and forest structure discriminated a greater number of positive and negative associations at the scale of our analyses in a tropical cloud forest. CONCLUSIONS: Both topographic conditions and forest structure contribute to small‐scale microhabitat partitioning of woody plant species in a Peruvian tropical cloud forest. Nevertheless, canopy species were most correlated with the distribution of environmental variables, while understorey species displayed associations with forest structure. Questions Species–habitat associations may contribute to the maintenance of species richness in tropical forests, but previous research has been conducted almost exclusively in lowland forests and has emphasized the importance of topography and edaphic conditions. Is the distribution of woody plant species in a Peruvian cloud forest determined by microhabitat conditions? What is the role of environmental characteristics and forest structure in habitat partitioning in a tropical cloud forest? Location Cloud Forest, north Peruvian Andes. Methods We examined species–habitat associations in three 1‐ha plots using the torus‐translation method. We used three different criteria to define habitats for habitat partitioning analyses, based on microtopography, forest structure and both sets of factors. The number of species associated either positively or negatively with each habitat was assessed. Results Habitats defined on the basis of environmental conditions and forest structure discriminated a greater number of positive and negative associations at the scale of our analyses in a tropical cloud forest. Conclusions Both topographic conditions and forest structure contribute to small‐scale microhabitat partitioning of woody plant species in a Peruvian tropical cloud forest. Nevertheless, canopy species were most correlated with the distribution of environmental variables, while understorey species displayed associations with forest structure. We studied tree species‐habitat associations within three 1 ha plots in a Peruvian cloud forest. The micro‐scale distributions of canopy species were sensitive to topographic conditions, while low stature species were more sensitive to forest structure. We demonstrate that the inclusion of both topographic and forest structure variables in habitat association analyses provides a greater evidence of micro‐habitat partitioning than analyses incorporating either set of variables in isolation. We conclude that micro‐scale habitat associations contribute to the maintenance of species richness in this neotropical montane forest. Questions Species-habitat associations may contribute to the maintenance of species richness in tropical forests, but previous research has been conducted almost exclusively in lowland forests and has emphasized the importance of topography and edaphic conditions. Is the distribution of woody plant species in a Peruvian cloud forest determined by microhabitat conditions? What is the role of environmental characteristics and forest structure in habitat partitioning in a tropical cloud forest? Location Cloud Forest, north Peruvian Andes. Methods We examined species-habitat associations in three 1-ha plots using the torus-translation method. We used three different criteria to define habitats for habitat partitioning analyses, based on microtopography, forest structure and both sets of factors. The number of species associated either positively or negatively with each habitat was assessed. Results Habitats defined on the basis of environmental conditions and forest structure discriminated a greater number of positive and negative associations at the scale of our analyses in a tropical cloud forest. Conclusions Both topographic conditions and forest structure contribute to small-scale microhabitat partitioning of woody plant species in a Peruvian tropical cloud forest. Nevertheless, canopy species were most correlated with the distribution of environmental variables, while understorey species displayed associations with forest structure. We studied tree species-habitat associations within three 1 ha plots in a Peruvian cloud forest. The micro-scale distributions of canopy species were sensitive to topographic conditions, while low stature species were more sensitive to forest structure. We demonstrate that the inclusion of both topographic and forest structure variables in habitat association analyses provides a greater evidence of micro-habitat partitioning than analyses incorporating either set of variables in isolation. We conclude that micro-scale habitat associations contribute to the maintenance of species richness in this neotropical montane forest. |
| Author | Ledo, Alicia Burslem, David F.R.P. Condés, Sonia Montes, Fernando |
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| Copyright | Copyright © 2013 International Association for Vegetation Science 2012 International Association for Vegetation Science 2015 INIST-CNRS |
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| Keywords | Microhabitat Andes Habitat partitioning Tropical zone Plant ecology Tropical forest Coexistence Woody plant Dispersal limitation Spatial distribution Mountain Partitioning Microscale Habitat Spatial pattern Plant sciences Neotropical Region Species co-existence Species Montane tropical forest Peru Mountain forest |
| Language | English |
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| Notes | http://dx.doi.org/10.1111/jvs.12023 Universidad Politécnica de Madrid ark:/67375/WNG-PDR1B0NF-X Appendix S1. Results of the species-habitat association analysis when (a) topographic variables (b) forest structure variables and (c) topographic and forest structure variables were used to define habitats. The low-stature and mid-canopy species are indicated by 'L' and the canopy and emergent species with 'C'. The '+' symbol indicates significant association with plot 1, the '*' symbol with plot 2 and the 'Θ' symbol with plot 3. The grey cells indicate a significant association when the three plots are analysed together. istex:A4D726CA30EDDC001D565C2E7BC86652393FB300 Consejo Social de la Universidad Politécnica de Madrid ArticleID:JVS12023 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
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| Title | Micro‐scale habitat associations of woody plants in a neotropical cloud forest |
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