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Recent developments in linear ordination methods in environmental sciences

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Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
Dolédec, S., and D. Chessel. 1991. Recent developments in linear ordination methods for environmental sciences. Advances in
Ecology, India 1:133-155.
http://pbil.univ-lyon1.fr/R/articles/arti066.pdf
... [20,27,34,37] inter-classe et intra-classe des 199 relevés et 192 espèces sur les trois vallées. Cette méthode permet de traiter les données de composition spécifique des communautés comme de véritables données expérimentales en introduisant l'analyse de variance dans le domaine multivarié [12,27,33]. Nous avons donc étudié la structure végétation-vallée et la structure végétation-stade en éliminant successivement les différences inter-stade et inter-vallée au moyen des AFC «.conditionnelles.» ...
... La validité de la signification de la variabilité inter-vallée est testée par un test de permutation [23] de Monte-Carlo (2 000 permutations). Par la suite nous avons ordonnés les espèces endémiques Corso-Sarde et les espèces communes (non endémiques) de Corse, afin d'étudier la distribution des espèces endémiques et caractéristiques de chacune des vallées, sur le gradient écologique défini par les relevés (les espèces sont positionnées à la moyenne des stations où elles sont présentes) [12]. Les analyses ont été effectuées avec le logiciel ADE-4 [10,35] et l'effet conjoint des différentes vallées et stades dynamiques sur la richesse spécifique [14] a été analysé statistiquement grâce à un test ANOVA à un facteur effectuée avec le logiciel STATVIEW 5.0. ...
... Between-group PCA calculates linear combinations of variables maximizing the between-group (in this case between species) variance instead of the overall variance. The inertia calculated in a between-group PCA represents the part of the total variance due to the differences between species [34]. ...
... To do this, we calculated the correlations between traits at the interspecific (axes discriminating species in the trait space) and intraspecific (axes discriminating individuals within species in the trait space) levels using both between-and within-PCA analyses. Within-group PCAs breakdown the structure within a group, in this case the group we used was species, by considering the data centred on species means [34]. To observe trait correlation within species, we also ran a PCA on individual data for each species. ...
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Plant traits are commonly used to predict ecosystem-level processes, but the validity of such predictions is dependent on the assumption that trait variability between species is greater than trait variability within a species-the robustness assumption. Here, we compare leaf trait intraspecific and interspecific variability depending on geographical differences between sites and 5 years of experimental herbivore exclusion in two vegetation types of subalpine grasslands in Switzerland. Four leaf traits were measured from eight herbaceous species common to all 18 sites. Intraspecific trait variability differed significantly depending on site and herbivory. However, the amount and structure of variability depended on the trait measured and whether considering leaf traits separately or multiple leaf traits simultaneously. Leaf phosphorus concentration showed the highest intraspecific variability, while specific leaf area showed the highest interspecific variability and displayed intraspecific variability only in response to herbivore exclusion. Species identity based on multiple traits was not predictable. We find intraspecific variability is an essential consideration when using plant functional traits as a common currency not just species mean traits. This is particularly true for leaf nutrient concentrations, which showed high intraspecific variability in response to site differences and herbivore exclusion, a finding which suggests that the robustness assumption does not always hold.
... where analyze data about the floristic composition of the plots, but they can also be complementary: while PCA highlights the abundant species, CA highlights rare species (Hill, 1973, in Dolédec & Chessel, 1991 and focuses on community composition rather than species abundance (Dolédec & Chessel, 1991). These multivariate analyses were followed by between-class analysis with habitat type as class. ...
... where analyze data about the floristic composition of the plots, but they can also be complementary: while PCA highlights the abundant species, CA highlights rare species (Hill, 1973, in Dolédec & Chessel, 1991 and focuses on community composition rather than species abundance (Dolédec & Chessel, 1991). These multivariate analyses were followed by between-class analysis with habitat type as class. ...
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Questions This study investigates soil seed banks in relation to established vegetation in the floodplain of a large river with high energy floods. It addresses the composition of seed banks and extant vegetation over a wide flooding and succession gradient. Tested hypotheses were: (i) species richness and seed bank density are highest in mid‐succession habitats, (ii) seed bank variability increases with succession, (iii) the proportion of species in the established vegetation with permanent seed banks decline with succession, (iv) similarity between vegetation and seed bank declines with succession. Location Mareau‐aux‐Prés, the Loire River, close to Orléans, France. Methods Seed banks and vegetation were sampled in five habitats from a succession series: (1) Pioneer vegetation of shores and sandbanks, (2) softwood shrubs, (3) softwood forest, (4) mature forest, (5) Elytrigia‐dominated grasslands. Sample units were 5m x 5m plots. Soil samples were taken from the upper 6 cm. Seed banks were studied via the seedling emergence method, followed by screening of sediment for remaining seeds. Composition of seed banks was compared to that of vegetation using the Sørenson similarity index. Results Seed bank density varied between 260 and 11260 seeds.m‐². Clear differences between habitats existed in the composition of species in seed banks and established vegetation. Seeds of most dominant species were distributed across the whole range of floodplain habitats but were more restricted in the vegetation. Species richness and seed bank densities did not vary with succession as expected, but the proportion of species that produce persistent seed banks did decline with sucession. Conclusions Floodplains of large rivers provide an excellent context to test hypotheses about the processes that influence the links between seed banks and standing vegetation. In the case of high‐energy floods and high sediment dynamics, the methods commonly used to study seed banks can however be questioned. This article is protected by copyright. All rights reserved.
... To decompose the part of the total variance due to the differences between guilds, we used between-PCA on the nine traits [22]. As the number of species differed among fish guilds, we used a re-sampling procedure to balance the datasets (i.e., equal numbers of species) and then sub-sampled the original dataset by drawing randomly from 1000 balanced data subsets containing the smallest number of species per guild [23]. ...
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Southeast Asian riverine fishes are classified into three guilds (‘black’, ‘white’ and ‘grey’ species) based on their reproductive and migration strategies. In this study, we aimed to investigate whether fish morphology could be used to predict the Mekong fish guilds. Nine dimensionless ratios of fish morphological traits were used to describe the locomotion and food acquisition strategies of 121 fish species. The links between morphological traits and fish guilds were assessed using a principal component analysis (PCA) and a variance partitioning analysis, which revealed a strong morphological overlap between the guilds. Despite the high contribution of intra-guild variability to overall morphological variability (~90%), black and white fish significantly differed in terms of locomotion-related traits. Mekong fish guilds were satisfactorily predicted by using a random forest (RF) model, which produced a percentage of successful classification of ca 50% for each of the three guilds. Caudal propulsion efficiency, pectoral fin vertical position and body elongation were the most significant traits in the RF predictive model. Although the present study provides initial insight into the links between Mekong fish morphology and ecological guilds, further research is needed in order to clarify the relationship between species morphology, migratory status and responses to environmental variation.
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Forty-one stations located on 14 rivers spread over the whole of New Caledonia were periodically sampled from October 1996 to October 1997. Benthic invertebrate samples were taken at each of the stations, then identified and counted in the laboratory. . At the same time, water samples were analyzed at each study station. The physico-chemical nature of the waters of the rivers of the mainland is strongly influenced by the drained geological substrates. Organic pollution is generally not very significant in the territory, the highest concentrations of nitrates, ammonium and organic matter are measured in the rivers located near certain villages, tribes or towns, in the agglomeration of noumea and level of the lower courses of the rivers of the west coast. A physico-chemical typology of the study stations based on their geographic location, land use and the geological nature of the rocks was highlighted using multivariate analyzes. The benthic macrofauna of rivers is dominated by insects. The environments most conducive to the development of benthic macrofauna and which present the maximum specific diversity are forest streams. In contrast, the watercourses draining altered peridotites and far from any human occupation are characterized by less diversified and less abundant benthic populations due to their low organic matter content. In addition, some taxa show a generic and specific endemism linked to the peridotitic substrate like terrestrial insects. A biotypology of the study stations has been defined, based on the same criteria as those of the physico-chemical typology. Land use, riverine vegetation and the geological nature of watersheds represent the main factors explaining the distribution and distribution of benthic macrofauna in rivers. An original biotic index specific to the rivers of New Caledonia is proposed in this work. The biotic index of new caledonia (ibnc) makes it possible to detect organic pollution in current environments. It refers to 62 frequent and easily identifiable taxa which have been assigned a score according to their sensitivity to organic matter.
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