Aided Photographic Identification of Rosalia Alpina

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Aided Photographic Identification of Rosalia Alpina Insect Conservation and Diversity (2016) doi: 10.1111/icad.12199 Computer-aided photographic identification of Rosalia alpina (Coleoptera: Cerambycidae) applied to a mark-recapture study SARAH ROSSI DE GASPERIS,1 GIUSEPPE M. CARPANETO,1 GIULIO NIGRO,2 GLORIA ANTONINI,3 STEFANO CHIARI,1,4 ALESSANDRO CINI,4,5,* EMILIANO MANCINI,1 FRANCO MASON,6 FABIO MOSCONI,3,4 LARA REDOLFI DE ZAN,4,5 PIO FEDERICO ROVERSI,4 GIUSEPPINO SABBATINI PEVERIERI,4 EMANUELA SOLANO3,4 and ALESSANDRO 4,5 CAMPANARO 1Dipartimento di Scienze, Universita Roma Tre, Roma, Italy, 2Facolta di Scienze Matematiche, Fisiche e Naturali, Universita di Pisa, Pisa, Italy, 3Dipartimento di Biologia e Biotecnologie Charles Darwin, Universita La Sapienza, Roma, Italy, 4Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria, Centro di ricerca per l’agrobiologia e la pedologia (CREA-ABP), Cascine del Riccio, Firenze, Italy, 5Corpo Forestale dello Stato, Centro Nazionale per lo Studio e la Conservazione della Biodiversita Forestale “Bosco Fontana” di Verona, Marmirolo, Mantova, Italy, 6Corpo Forestale dello Stato, Centro Nazionale Biodiversita Forestale, Laboratorio Nazionale Tassonomia Invertebrati “Lanabit”, Verona, Italy and * Current address: Dipartimento di Biologia, Universita di Firenze, Via Madonna del Piano 6, 50019, Sesto Fiorentino, Firenze, Italy Abstract. 1. Assessing the conservation status of protected species needs quantita- tive population data, generally obtained using Capture-Mark-Recapture methods (CMR). The exploitation of natural marking (e.g. individual morphological traits) offers an interesting alternative, based on image analyses, which may result in a less manipulation of protected species compared to the typical artificial marking method. 2. In our 2-year CMR study, we tested for the first time in the natural setting the feasibility and the application of the computer-aided photographic identifi- cation method of Rosalia alpina using the individual elytral spots as the natural marking. The I3SC software was used for the photographic analysis. 3. Data were collected from populations of two National Parks of central Italy during July–August in 2014 and 2015. We developed a standard procedure in order to optimise the image acquisition in the field and to acquire clear and comparable images, facilitating the I3SC screening process. 4. The results demonstrated that the computer-aided photographic identifica- tion of natural markings can be implemented in a CMR population study of R. alpina. Our image processing approach showed that using only the elytral central spot contours made the tracing contour process less time-consuming obtaining reliable results. Furthermore, I3SC output scores were used to identify a threshold value for the identification of new individuals or recaptures, facili- tating the final identification proposed by operators. 5. Finally, we assessed the possibility of performing the methodology using a Citizen Science approach. Key words. Elytral spots, I3SC software, natural marking, protected species, saproxylic insects. Correspondence: Sarah Rossi de Gasperis, Dipartimento di Scienze, Universita Roma Tre, Roma, Italy. E-mail: sarahrodega@ gmail.com Ó 2016 The Royal Entomological Society 1 2 Sarah Rossi de Gasperis et al. Introduction could prove time-consuming. In such a case, the matching of photographs aided by a specific software was a success- Proper implementation of conservation measures for pro- ful solution (Kelly, 2001; Speed et al., 2007; Hiby et al., tected species requires reliable quantitative population 2009; Sacchi et al., 2010; Caci et al., 2013). In particular, studies on survival ability, demography and population computer-aided photographic identification using the dynamics, in order to assess their conservation status Interactive Individual Identification System version “Con- (Shrader-Frechette & McCoy, 1993; Schwarz & Seber, tour” 3.0 software (I3SC) (see Van Tienhoven et al., 2007) 2001; Butchart et al., 2004). was successfully applied to R. alpina images by Caci et al. Rosalia alpina (Linnaeus, 1758) is a saproxylic longhorn (2013). The authors analysed a sample of 75% of museum beetle typically inhabiting beech forests. Although the spe- specimens and 25% of living individuals and suggested cies occurs in a vast territory across the Central and the employment of I3SC for a less invasive approach in a Southern Europe reaching the Anatolian peninsula, cur- monitoring programme. To date, however, we lack data rently its distribution area is highly fragmented (Sama, on the reliability of computer-aided photographic identifi- 2002; Binner & Bussler, 2006; Cizek et al., 2009; Jurc cation, using natural markings under field settings and et al., 2008; Bosso et al., 2013; Lachat et al., 2013). At applied to large datasets of many (e.g. hundreds) individu- local scale, forest management can seriously affect the als for populations of the same locality, where genetic population viability of the species; the removal of huge resemblance and shared environment might limit pheno- dead trees and a longer distance between suitable trees, in typic variation. fact, can reduce the habitat availability and the dispersal The present study was performed within the framework of the species affecting the population success (Russo of the Project LIFE11 NAT/IT/000252 MIPP “Monitor- et al., 2011, 2015). Thus, the beetle is ranked as a priority ing of Insects with Public Participation” (Mason et al., species in the Annexes II and IV of the European Habi- 2015), which aims at testing different standard monitor- tats Directive 92/43EEC (HD) and population status ing protocols for saproxylic beetles listed in HD. The assessment is required. R. alpina is also a flagship species, project also benefits from the collaboration of citizens having a charismatic attractive power for people due to that can give their support for a more detailed descrip- its distinctive elytral pattern (Duelli & Wermelinger, tion of the geographical range of the target species 2005). (Zapponi et al., 2016) by sending images and geographic Population studies are generally carried out by capture- position of the individuals. The possibility of using these mark-recapture method (CMR), an approach that poten- images for monitoring purposes has never been assessed tially stresses or injures the specimens of both, vertebrates for R. alpina. and invertebrates (Day et al., 1980; Kock et al., 1987; The present study is a methodological assay, with the Nietfeld et al., 1994; Lemckert, 1996; Davies & Ovaska, following main goals: (i) to set up a standard methodol- 2001; Hagler & Jackson, 2001; Arnemo et al., 2006; Mat- ogy in a CMR protocol that allows the application of son et al., 2006; Spotswood et al., 2012). The use of the computer-aided photo-identification of R. alpina; (ii) to typical CMR marking tools, that is pen, stickers or small explore time-saving approaches for image processing by drill, does not produce serious injuries to the large pro- considering only a selected part of the elytral pattern; (iii) tected saproxylic beetles as Cerambyx cerdo (Linnaeus, to find threshold values of the output scores given by the 1758), Elater ferrugineus (Linnaeus, 1758), Lucanus cervus software in order to assist the operator during the screen- (Linnaeus, 1758), Morimus funereus (Mulsant, 1863) and ing process and the final identification; (iv) to test the Osmoderma eremita (Scopoli, 1763) (Ranius, 2001; Cam- developed methodology with images provided by non- panaro et al., 2011; Chiari et al., 2013, 2014; Zauli et al., experts (citizen science approach) and evaluate whether 2014). The more slender R. alpina has a smaller body size citizen data can be implemented in a standard monitoring and softer elytras and for these reasons, the possibility to programme. injure sampled specimens during the handling could be definitely much higher. The use of photo-identification for individuals of R. alpina has been recently suggested as a Material and methods valid alternative to the classic marking techniques (see Campanaro et al., 2011; Pagola Carte, 2011; Trizzino Study area et al., 2013) and the coloured elytral pattern was used as an individual natural marking for photographic identifica- The study was conducted in five study sites within two tion (Pagola Carte, 2011; Caci et al., 2013; Castro & National Parks of Central Italy: (i) Parco Nazionale Fernandez, 2016). Other similar examples of photo-identi- Foreste Casentinesi, Monte Falterona and Campigna fication occur in mammals, reptiles and amphibians (Wil- (PNFC), in the Northern Apennines (two study sites); (ii) son et al., 1999; Bradfield, 2004; Gamble et al., 2008; Parco Nazionale Abruzzo, Lazio and Molise (PNALM) Schofield et al., 2008; Hoque et al., 2011; Lahiri et al., in the Central Apennines (three study sites) (Fig. 1). The 2011; Knox et al., 2012; Rydell & Russo, 2015). The pho- exact geographic position of the five study sites are not tographic approach showed some limitations, since it reported to limit the possibility of illegal collection of requires the processing of even hundreds of images that R. alpina specimens. Ó 2016 The Royal Entomological Society, Insect Conservation and Diversity Photo-identification of Rosalia alpina 3 Fig. 1. The two National Parks of central Italy selected for the survey of Rosalia alpina. Fieldwork and data collection insect net and released after the marking procedure, which involved two types of marking: Within monitoring programmes of a highly protected species, the following protocol proposed,
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