مورد إلكتروني
When Imagery and Physical Sampling Work Together: Toward an Integrative Methodology of Deep-Sea Image-Based Megafauna Identification
| العنوان: | When Imagery and Physical Sampling Work Together: Toward an Integrative Methodology of Deep-Sea Image-Based Megafauna Identification |
|---|---|
| المصدر: | Frontiers in Marine Science (2296-7745) (Frontiers Media SA), 2021-11 , Vol. 8 , P. 749078 (25p.) |
| بيانات النشر: | Frontiers Media SA 2021-11 |
| تفاصيل مُضافة: | Hanafi-portier, Melissa Samadi, Sarah Corbari, Laure Chan, Tin-yam Chen, Wei-jen Chen, Jhen-nien Lee, Mao-ying Mah, Christopher Saucède, Thomas Borremans, Catherine Olu, Karine |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Imagery has become a key tool for assessing deep-sea megafaunal biodiversity, historically based on physical sampling using fishing gears. Image datasets provide quantitative and repeatable estimates, small-scale spatial patterns and habitat descriptions. However, taxon identification from images is challenging and often relies on morphotypes without considering a taxonomic framework. Taxon identification is particularly challenging in regions where the fauna is poorly known and/or highly diverse. Furthermore, the efficiency of imagery and physical sampling may vary among habitat types. Here, we compared biodiversity metrics (alpha and gamma diversity, composition) based on physical sampling (dredging and trawling) and towed-camera still images (1) along the upper continental slope of Papua New Guinea (sedimented slope with wood-falls, a canyon and cold seeps), and (2) on the outer slopes of the volcanic islands of Mayotte, dominated by hard bottoms. The comparison was done on selected taxa (Pisces, Crustacea, Echinoidea, and Asteroidea), which are good candidates for identification from images. Taxonomic identification ranks obtained for the images varied among these taxa (e.g., family/order for fishes, genus for echinoderms). At these ranks, imagery provided a higher taxonomic richness for hard-bottom and complex habitats, partially explained by the poor performance of trawling on these rough substrates. For the same reason, the gamma diversity of Pisces and Crustacea was also higher from images, but no difference was observed for echinoderms. On soft bottoms, physical sampling provided higher alpha and gamma diversity for fishes and crustaceans, but these differences tended to decrease for crustaceans identified to the species/morphospecies level from images. Physical sampling and imagery were selective against some taxa (e.g., according to size or behavior), therefore providing different facets of biodiversity. In addition, specimens collected at a larger scale |
| مصطلحات الفهرس: | deep-sea megafauna, image-based identification, biodiversity assessment, identification keys, integrative methodology, towed camera, physical sampling, text, Article, info:eu-repo/semantics/article |
| DOI: | 10.3389.fmars.2021.749078 |
| URL: | |
| الإتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess restricted use |
| ملاحظة: | application/pdf English |
| أرقام أخرى: | FRIFR oai:archimer.ifremer.fr:84656 DOI:10.3389/fmars.2021.749078 1409524121 |
| المصدر المساهم: | IFREMER From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1409524121 |
| قاعدة البيانات: | OAIster |
| DOI: | 10.3389.fmars.2021.749078 |
|---|