A new diploid butterwort species (Pinguicula, Lentibulariaceae) from Sardinia

Bacchetta, Gianluigi; Cannas, Marcello; Peruzzi, Lorenzo

doi:10.11646/phytotaxa.186.5.5

Cited by 6 publications

(6 citation statements)

References 20 publications

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“…Even if several researchers have studied this area in the past (e.g. Arrigoni, 1965;Loi and Lai, 2001;Loi et al, 2004), further endemic plant species were recently described or found, such as Pinguicula sehuensis and Senecio morisii (Bacchetta et al, 2014;Calvo and Aedo, 2015), until totalizing 99 endemic vascular plant species.…”

Section: Study Area and Target Speciesmentioning

confidence: 99%

Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions

Fois

Cuena-Lombraña

Fenu

et al. 2018

Ecological Modelling

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107

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Among specific applications of species distribution models (SDMs), the use of SDMs probabilistic maps for guiding field surveys is increasingly applied. This approach is particularly used for poorly known and/or cryptic species in order to better assess their distribution. One of the most interesting aspects of these applications is that predictions could be clearly validated by real data, subsequently obtained in the field. Despite this important difference from other applications, to our knowledge, the efficiency of different algorithms, metrics for model evaluation and algorithm-specific settings have not yet been sufficiently investigated. This research performs a literature survey to investigate which species, study area characteristics, variables, techniques and settings were used or suggested by previous authors. We then applied the most common approaches to guide field surveys for a set of 70 vascular plants in an endemic-rich area of Sardinia (Italy) of approx. 9000 ha, the flora of which was deeply investigated during the last two years. Our main aims were: (1) to use pre-model records for predicting the potential occurrence of plant species with different sample size, detectability and habitat preference, (2) to apply results for guiding searches for new populations of poorly known species, (3) to calculate the model performance according to independent real presence/absence data (testAUC) and (4) to compare different modelling data input and settings on the testAUC basis. By emphasizing the importance of field verification, both the review and the worked example supported the reliability of SDMs for a wide range of species to understand where species could potentially be present and therefore to optimise resources for the search of new species localities. This study may help understand and summarise the most applied methodological approaches and to highlight future directions for this practical application. Without underrating the importance of most common recommendations, practitioners are encouraged to test the ability of this SDMs' application with their own data. Indeed, large gaps in species' types (e.g. insects) and in regions covered by these kind of studies (e.g. many African and Asian territories) were found. Furthermore, eventual biases due to lack of data, experience or staff, have in this experimental case less irreparable consequences than others, such as conservation assessments based on future projections, which cannot be otherwise adjusted by explicit data from ground validation.

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Section: Study Area and Target Speciesmentioning

confidence: 99%

Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions

Fois

Cuena-Lombraña

Fenu

et al. 2018

Ecological Modelling

Self Cite

206

107

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“…Pinguicula sehunensis was recently described by Bacchetta et al . [1] as morphologically close to P . dertosensis , P .…”

Section: Discussionmentioning

confidence: 99%

“…longifolia subsp. reichenbachiana , endemic to few locations on the Maritime Alps in France and Italy, was already considered as a distinct species by several authors [1, 20, 21, 22], this is not the case for P . longifolia subsp.…”

Section: Discussionmentioning

confidence: 99%

“…The genus Pinguicula L. (butterworts; Lentibulariaceae—Lamiales) includes about 100 species [1]. Butterworts are carnivorous plants that capture their prey by means of mucilaginous and sticky leaves, a rather simple trap compared to the other genera within the family, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Picentini (Campania, southern Italy), and P . sehuensis Bacch., Cannas & Peruzzi endemic to Sardinia [1]. With a total of 11 endemic taxa [24, 25], Italy clearly represents a biodiversity hotspot for this genus in Europe (Fig 1).…”

Section: Introductionmentioning

confidence: 99%

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Disentangling Phylogenetic Relationships in a Hotspot of Diversity: The Butterworts (Pinguicula L., Lentibulariaceae) Endemic to Italy

et al. 2016

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The genus Pinguicula (Lentibulariaceae) consists of about 100 carnivorous species, also known as butterworts. Eleven taxa are endemic to Italy, which represents a biodiversity hotspot for butterworts in Europe. The aim of our study was to provide a phylogenetic framework for the Italian endemics, in order to: a) investigate the relationships between species in this group; b) evaluate their actual taxonomic value. To achieve this, we analysed all the taxa endemic to Italy, along with several other species, by means of ITS nrDNA analysis. Our results clarify the relationships between Italian endemics and other Pinguicula taxa identifying a basal polytomy defined by five clades. All of the Italian endemics (with the exception of P. lavalvae) fall within a single large clade, which includes P. vulgaris and allied species. Among them, P. poldinii represents the most isolated lineage. Other taxa show strong molecular similarities and form a single subclade, although their taxonomic ranks can be retained. Pinguicula lattanziae sp. nov., seemingly endemic to Liguria (NW Italy), is also described.

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Conservation of carnivorous plants in the age of extinction

Cross

Krueger

Gonella

et al. 2020

Global Ecology and Conservation

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A new diploid butterwort species (Pinguicula, Lentibulariaceae) from Sardinia

Abstract: A new diploid species belonging to Pinguicula sect. Pinguicula is described from Sardinia, an island where no butterwort was previously reported from. The taxonomic relationship of P. sehuensis sp. nov. with other species is briefly discussed.

Cited by 6 publications

References 20 publications

Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions

Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions

Disentangling Phylogenetic Relationships in a Hotspot of Diversity: The Butterworts (Pinguicula L., Lentibulariaceae) Endemic to Italy

Conservation of carnivorous plants in the age of extinction

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