Improving occurrence‐based rarity metrics in conservation studies by including multiple rarity cut‐off points

Leroy, Boris; Pétillon, Julien; Gallon, Régis; Canard, Alain; Ysnel, Frédéric

doi:10.1111/j.1752-4598.2011.00148.x

Cited by 39 publications

(62 citation statements)

References 31 publications

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“…First, the lack of broad-scale distributional data for most invertebrate taxa (Cardoso et al, 2011b) is restrictive. Dapporto & Dennis, 2008;Simaika & Samways, 2009;Fattorini, 2010;Leroy et al, 2012). However, distribution data for invertebrates are either at fine resolutions but on restricted scales (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The basic assumption is that because we lack a broad-extent fine-scale database, we can combine multiple datasets to obtain a multiscale procedure. We apply the method introduced by Leroy et al (2012) to calculate a multiscale rarity weight for species from species occurrences at different scales. atlas data or regional surveys such as Harvey et al, 2002), or even larger scales (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, this is possible because of the increasing availability of datasets (see Jetz et al, 2012), irrespective of whether local, regional, or national scales (e.g. Multiscale rarity weights are then integrated at the assemblage level with the Index of Relative Rarity; the advantages were discussed in Leroy et al (2012). datasets combining occurrence data from different sources such as Global Biodiversity Information Facility (GBIF, 2012) or species lists from different countries such as Fauna Europaea, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Integrating multiple scales in rarity assessments of invertebrate taxa

Leroy

Canard

Ysnel

2013

Diversity and Distributions

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Aim To provide a procedure for measuring the rarity of both invertebrate species and assemblages of species from multiple scales without the need for fineresolution datasets over broad areas.Location The western Palearctic (WP) and western France.Methods On the basis of different datasets from different geographical extents, we applied a multiscale rarity weight to species occurrence from multiple scales. Multiscale rarity weights were then averaged at an assemblage level in a multiscale index of relative rarity (I RR ). These rarity weights were calculated using a flexible, scale-dependent method that ensures equitable contributions of each scale to the final index. We provided a simple two-scale example of the application, on spiders of western France, for which we obtained occurrence information from a regional-extent dataset (regional scale) and a western Palearctic-extent dataset (WP scale). Thus, we showed the necessity of a two-scale approach by successively analysing species occurrence, multiscale rarity weights of species and multiscale indices of species assemblage. Finally, we presented a case study within a nature reserve.Results Species occurrences are not predictable from one scale to another, and rarity indices of assemblages are poorly congruent among scales, which supports the necessity of a two-scale approach. Multiscale rarity weights accurately showed information on species rarity from both scales. Multiscale indices of assemblages were congruent but with additional information over each onescale index.Main conclusions The novelty of the multiscale method developed here is to accurately combine different datasets of varying extents and resolutions to provide multiscale rarity weights for species and indices for assemblages. Given the increasing availability of datasets for invertebrate taxa, this method represents a significant improvement for rarity and conservation studies on invertebrates.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrating multiple scales in rarity assessments of invertebrate taxa

Leroy

Canard

Ysnel

2013

Diversity and Distributions

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“…Other rarity indices with multiple cut-off points can also be used [93] to assess species restrictedness but they are sensitive to species geographic range distributions. Elucidating the drivers of functional rarity requires considering the effects of both nichebased and neutral community assembly processes [94][95][96][97] on both functional distinctiveness and taxonomic scarcity.…”

Section: Box 3 Measuring Species Scarcity and Restrictednessmentioning

confidence: 99%

Functional Rarity: The Ecology of Outliers

Violle

Thuiller

Mouquet

et al. 2017

Trends in Ecology & Evolution

309

370

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Rarity has been a central topic for conservation and evolutionary biologists with the ultimate goal of determining the species characteristics that cause extinction risk. More recently, beyond the rarity of species, the rarity of functions or functional traits, called functional rarity, has gained momentum in helping to understand the impact of biodiversity decline on ecosystem functioning. However a conceptual framework for defining and quantifying functional rarity is still lacking. Here, we introduce twelve different forms of functional rarity along gradients of species scarcity and trait distinctiveness. We then highlight the potential key role of functional rarity in the long-*

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“…Hence, Leroy et al (2012) proposed a new, flexible method to assess the 92 rarity of species assemblages (the Index of Relative Rarity) with respect to the considered phyla.…”

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confidence: 99%

Cross-taxon congruence in the rarity of subtidal rocky marine assemblages: No taxonomic shortcut for conservation monitoring

Leroy

Gallon

Feunteun

et al. 2017

Ecological Indicators

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. Cross-taxon congruence in the rarity of subtidal rocky marine assemblages: No taxonomic shortcut for conservation monitoring. Ecological Indicators, Elsevier, 2017, 77, pp.239-249 investigating the distribution of rarity among subtidal rock bottom phyla; (2) searching for 27 potential surrogate phyla with a cross-taxon congruence approach based on their rarity; (3) 28proposing an appropriate multi-phyla indicator to evaluate the importance of subtidal rocky 29 habitats for conservation. We analysed the distribution of 548 species belonging to 8 phyla 30 sampled in 137 assemblages in subtidal rocky areas located around Brittany, Western France. 31We applied the Index of Relative Rarity, a flexible method which fits rarity weights to species 32 depending on their respective phyla. We found only weak congruence in rarity patterns among 33 phyla, which prevented any attempt to identify surrogate phyla. This finding has important 34 implications for the conservation of subtidal rocky habitats as it means that there is no shortcut 35 to monitor their rarity: working on a subset of phyla would imply a biased evaluation of 36 biodiversity. Consequently, we propose a multi-phyla Index of Relative Rarity combining all 37 phyla which allowed us to successfully describe rarity patterns across all sampled sites. 38 39 Key-words 40Occurrence-based rarity, subtidal conservation, rare species, Brittany 41 42 3

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Improving occurrence‐based rarity metrics in conservation studies by including multiple rarity cut‐off points

Abstract: International audienc

Cited by 39 publications

References 31 publications

Integrating multiple scales in rarity assessments of invertebrate taxa

Integrating multiple scales in rarity assessments of invertebrate taxa

Functional Rarity: The Ecology of Outliers

Cross-taxon congruence in the rarity of subtidal rocky marine assemblages: No taxonomic shortcut for conservation monitoring

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