Niche Separation in Community Analysis: A New Method

Dolédec, Sylvain; Chessel, Daniel; Gimaret-Carpentier, Clementine

doi:10.2307/177351

Cited by 236 publications

(412 citation statements)

References 0 publications

Supporting

Mentioning

395

Contrasting

Unclassified

Order By: Relevance

“…The OMI measures the marginality of a species (i.e., the weighted average of SUs used by the species) from the average condition of the sampling domain, G (Dolédec, Chessel & Gimaret-Carpentier, 2000). OMI originates from the combinations of Z 0 , the standardized environmental variable table, and Fr , the species frequency table.…”

Section: The Witomi Conceptmentioning

confidence: 99%

“…Inspired by the OMI analysis (Dolédec, Chessel & Gimaret-Carpentier, 2000) and the decomposition of marginalities used in K -select analysis (Calenge, Dufour & Maillard, 2005), we propose to calculate two additional marginalities. First, the WitOMI to G (WitOMI G ) is the species marginality (i.e., the weighted average of SUs of a given subset used by the species) to the average habitat conditions of the sampling domain ( G ; see Eq.…”

Section: The Witomi Conceptmentioning

confidence: 99%

“…The outlying mean index (OMI) analysis is an ordination technique designed to explicitly take into account the ecological niche of each species within a community (Dolédec, Chessel & Gimaret-Carpentier, 2000). The OMI analysis seeks combinations of environmental variables that maximize average species marginality, i.e., the squared Euclidean distance between the mean habitat conditions used by a species and the mean habitat conditions of the sampling domain (the sampling domain can be defined on a temporal and/or spatial scale).…”

Section: Introductionmentioning

confidence: 99%

“…Mérigoux & Dolédec (2004) performed two OMI analyses on freshwater invertebrates (one per season, spring and autumn) to address seasonal shifts in the hydraulic niche of taxa. One drawback of these approaches lies in the available habitat conditions (as defined by Dolédec, Chessel & Gimaret-Carpentier (2000)), which may greatly vary between each subset, impacting the calculations of indexes such as marginalities and tolerances (Fig. 2A).…”

Section: Introductionmentioning

confidence: 99%

“…Finally, the difference between the existing fundamental subniche, S P , and the realized subniche, S R , would therefore correspond to the observed biological constraint, S B . We illustrate the potential of this method using published studies including both a temporal case (seasonality; see Mérigoux & Dolédec (2004)) and a spatial case (longitudinal stream gradient; see Dolédec, Chessel & Gimaret-Carpentier (2000)). …”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Within outlying mean indexes: refining the OMI analysis for the realized niche decomposition

Karasiewicz

Dolédec

Lefebvre

2017

PeerJ

View full text Add to dashboard Cite

The ecological niche concept has regained interest under environmental change (e.g., climate change, eutrophication, and habitat destruction), especially to study the impacts on niche shift and conservatism. Here, we propose the within outlying mean indexes (WitOMI), which refine the outlying mean index (OMI) analysis by using its properties in combination with the K-select analysis species marginality decomposition. The purpose is to decompose the ecological niche into subniches associated with the experimental design, i.e., taking into account temporal and/or spatial subsets. WitOMI emphasize the habitat conditions that contribute (1) to the definition of species’ niches using all available conditions and, at the same time, (2) to the delineation of species’ subniches according to given subsets of dates or sites. The latter aspect allows addressing niche dynamics by highlighting the influence of atypical habitat conditions on species at a given time and/or space. Then, (3) the biological constraint exerted on the species subniche becomes observable within Euclidean space as the difference between the existing fundamental subniche and the realized subniche. We illustrate the decomposition of published OMI analyses, using spatial and temporal examples. The species assemblage’s subniches are comparable to the same environmental gradient, producing a more accurate and precise description of the assemblage niche distribution under environmental change. The WitOMI calculations are available in the open-access R package “subniche.”

show abstract

Section: The Witomi Conceptmentioning

confidence: 99%

Section: The Witomi Conceptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Within outlying mean indexes: refining the OMI analysis for the realized niche decomposition

Karasiewicz

Dolédec

Lefebvre

2017

PeerJ

View full text Add to dashboard Cite

show abstract

Taxonomic rarity and functional originality of freshwater fishes and their responses to anthropogenic habitat alterations

Tóth

Czeglédi

Takács

et al. 2022

Aquatic Conservation

View full text Add to dashboard Cite

The human alteration of habitats is a major driver in the decline of biodiversity worldwide. However, the relationships between different forms of rarity, including both taxonomic and functional aspects, are poorly known. Two relationships were examined in this study: (i) between the different forms of taxonomic rarity and functional originality of lotic fishes; and (ii) between rarity indices and the degree of human alterations. Stream fish communities at 429 stream and river sites were sampled between 2013 and 2018. The taxonomic rarity of fishes was characterized based on their local rarity, habitat specificity and geographical restrictedness. The functional originality of each species was also quantified by using ecomorphological traits, and the relationships between the different indices and their responses to human habitat degradation were explored. Only weak or medium level correlations were found among the indices of taxonomic rarity. A combined taxonomic rarity index showed that overall taxonomic rarity was determined most strongly by local rarity, followed by habitat specificity, and finally, geographical restrictedness. Functional originality was not related either to individual rarity indices or the combined taxonomic rarity index. Mean taxonomic rarity of species was correlated with the degree of habitat degradation of the sites. Contrary to taxonomic rarity, mean functional originality of species increased with the degree of human alteration. This study shows that a more exact characterization of species rarity requires multiple metrics, including functional ones, because these indices respond differently to human alterations. Combined indices of rarity can help to prioritize species level conservation actions, although single rarity metrics are still needed to adapt these actions to species attributes (e.g. endemism or unique functions). Species level conservation would benefit from including the evaluation of functional rarity into conservation policy.

show abstract

Seasonal niche and spatial distribution modelling of the loggerhead (Caretta caretta) in the Adriatic and Ionian seas

Zampollo

Arcangeli

Costantino

et al. 2022

Aquatic Conservation

View full text Add to dashboard Cite

Although Caretta caretta is the most common turtle in the eastern Mediterranean Sea, its distribution is relatively difficult to assess due to the lack of data in offshore waters. The ecological niches in the central‐southern Adriatic Sea and the north‐eastern Ionian Sea were investigated for loggerhead turtles with body sizes ≥20 cm during two periods: winter (W), which includes months from October to March, and breeding–nesting (BN), from April to September. Differences in the spatial distribution of loggerheads were explored between periods, and the environmental predictors driving habitat selection were examined. Loggerheads mainly select habitats within the continental shelf (<200 m) differently, and exhibit: (i) a generalist behaviour in the Adriatic subregion during BN and a specific selection of environmental conditions during W; and (ii) a specialist behaviour in the Ionian Sea. The Adriatic niche appeared as an important foraging ground year‐round, whereas the distribution of suitable areas in the Ionian Sea is patchy and limited to specific habitats close to shore. Extreme values of sea surface temperatures (SSTs) from October to March (W) influenced loggerhead distribution differently in the subregions: areas experiencing cold and warm SST peaks were selected, respectively, in the Adriatic and Ionian subregions. Moreover, SST in April largely contributed to defining the habitat suitability in BN for both subregions This study further confirms the importance of the Adriatic and Ionian seas for the conservation of loggerhead sea turtles and the need for seasonal investigations to establish effective conservation measures. Here, the use of a cost‐effective method (fixed line transects from ferries) to inform the distribution of sea turtles in offshore waters is a valuable methodology for long‐term seasonal investigations of the habitat use of sea turtles.

show abstract

Niche Separation in Community Analysis: A New Method

Cited by 236 publications

References 0 publications

Within outlying mean indexes: refining the OMI analysis for the realized niche decomposition

Within outlying mean indexes: refining the OMI analysis for the realized niche decomposition

Taxonomic rarity and functional originality of freshwater fishes and their responses to anthropogenic habitat alterations

Seasonal niche and spatial distribution modelling of the loggerhead (Caretta caretta) in the Adriatic and Ionian seas

Contact Info

Product

Resources

About