Expanding the Bird Remains Identification System: An Innovative Tool for Identifying Feather Remains.



Similar documents
Archived Content. Contenu archivé

Sun Management Center Change Manager Release Notes

Proposition d intervention

Note concernant votre accord de souscription au service «Trusted Certificate Service» (TCS)

Machine de Soufflage defibre

Introduction au BIM. ESEB Seyssinet-Pariset Economie de la construction contact@eseb.fr

Democratic Republic of the Congo Tourist visa Application

FORENSIC ORNITHOLOGY

CSS : petits compléments

Solaris 10 Documentation README

Detection of water leakage using laser images from 3D laser scanning data

French Property Registering System: Evolution to a Numeric Format?

RÉPONSE DE ÉNERGIE LA LIÈVRE S.E.C. ET D ÉNERGIE BROOKFIELD MARKETING INC. À LA DEMANDE DE RENSEIGNEMENT N o 1 DE LA RÉGIE DE L ÉNERGIE («RÉGIE»)

Méthodes ensemblistes pour une localisation robuste de robots sous-marins

Life Sciences. Volume 5 August Issue date: August 7, 2008

Archived Content. Contenu archivé

Towards harmonising quality assurance for postgraduate training and research in RUFORUM member universities

French 8655/S 8655/S. AQA Level 1/2 Certificate June Teacher s Booklet. To be conducted by the teacher-examiner between 24 April and 15 May 2014

TR "Coverup" Protective Covers for Evidence

The Register of the Domain of the State A Revolution in the Registration of Land Rights

A GREEN PARADISE AT THE GATES OF LISBON UN PARADIS VERT AUX PORTES DE LISBONNE

TIMISKAMING FIRST NATION

Globe Export. A passion for seaweed. Globe Export. Globe Export

Council of Europe Family Policy Database

Fondation Rennes 1. Atelier de l innovation. Fondation Rennes 1. Fondation Rennes 1 MANAGEMENT AGILE. Fondation Rennes 1 ET INNOVATION

NIVEAU 1 - DEBUTANT. Issu de la méthode Language in Use des Editions Cambridge University Press

FINAL DRAFT INTERNATIONAL STANDARD

AgroMarketDay. Research Application Summary pp: Abstract

ACP-EU Cooperation Programme in Science and Technology (S&T II) / Programme de Coopération ACP-UE pour la Science et la Technologie

OCC1 546 STRATEGIES IN OCCUPATIONAL THERAPY PROFESSIONAL PRACTICE

Archived Content. Contenu archivé

SunFDDI 6.0 on the Sun Enterprise Server

Measuring Policing Complexity: A Research Based Agenda

Compétences publiques : repenser le doctorat en humanités. Public Skills: Rethinking the Humanities PhD

Archived Content. Contenu archivé

Sun Cobalt Control Station. Using the LCD Console

General Certificate of Education Advanced Level Examination June 2012

Archived Content. Contenu archivé

Future Entreprise. Jean-Dominique Meunier NEM Executive Director Nov. 23, 2009 FIA Stockholm

Regulatory Compliance Statement

Archived Content. Contenu archivé

AIRBUS VHT Framework - Mascot-NuM presentation - Emmanuelle Garcia

Archived Content. Contenu archivé

Langages Orientés Objet Java

HEALTH CARE DIRECTIVES ACT

ATP Co C pyr y ight 2013 B l B ue C o C at S y S s y tems I nc. All R i R ghts R e R serve v d. 1

Short Form Description / Sommaire: Carrying on a prescribed activity without or contrary to a licence

FATMAS : A Methodology to Design Fault-tolerant Multi-agent Systems

Report to/rapport au: Ottawa Board of Health Conseil de santé d Ottawa. November 18, novembre 2013

A Document Visualization Tool Customized to Explore DRDC Reports. Peter Kwantes

DHI a.s. Na Vrsich 51490/5, , Prague 10, Czech Republic ( t.metelka@dhi.cz, z.svitak@dhi.cz )

Archived Content. Contenu archivé

Numéro de projet CISPR Amd 2 Ed IEC/TC or SC: CISPR/A CEI/CE ou SC: Date of circulation Date de diffusion

Reconstruction d un modèle géométrique à partir d un maillage 3D issu d un scanner surfacique

Electrical/Electronics

Bibliothèque numérique de l enssib

Benin Tourist visa Application

In-Home Caregivers Teleconference with Canadian Bar Association September 17, 2015

Sun Integrated Lights Out Manager (ILOM) 3.0 Supplement for the Sun Fire X4150, X4250 and X4450 Servers

Installation Instructions

QUALITY AND SAFETY TESTING

International Diversification and Exchange Rates Risk. Summary

NUNAVUT HOUSING CORPORATION - BOARD MEMBER RECRUITMENT

CNC Kompetenzzenter mit der multimedialen Software

Report to Rapport au: Council Conseil 9 December 2015 / 9 décembre Submitted on October 26, 2015 Soumis le 26 octobre 2015

CONGO-KINSHASA VISA STEP-BY-STEP GUIDE

Start Here. Installation and Documentation Reference. Sun StorEdgeTM 6120 Array

Processed weight to live-weight conversion factors for Atlantic halibut (Hippoglossus hippoglossus) of the Scotian Shelf and Southern Grand Banks

Chairperson of the NEPAD Heads of State and Government Orientation Committee, President Macky Sall of the Republic of Senegal

"Internationalization vs. Localization: The Translation of Videogame Advertising"

Sun Ray, Smart Cards, and Citrix

L enseignement de la langue anglaise en Algérie; Evaluation de certains aspects de la réforme scolaire de 2003

DEVELOPMENT OF CSA-Z412 (2000) GUIDELINE ON OFFICE ERGONOMICS AS AN INTERACTIVE CD-ROM PRODUCT - PROCESS AND RESULTS OF USER TESTING

Archived Content. Contenu archivé

Specialized image collection of exercises Recueil d images spécialisées d exercices

Power Distribution System. Additional Information on page 2 See Page 2 Page 6. Eaton. See Page 2. Additional Information on page 2

Sun StorEdge A5000 Installation Guide

First-half 2012 Results. August 29 th, Jean-Paul AGON. Chairman and CEO

SUN SEEBEYOND egate INTEGRATOR RELEASE NOTES. Release 5.1.1

An In-Context and Collaborative Software Localisation Model: Demonstration

Annual Event 2016 Workshop New to Interreg, where to begin? Évènement annuel 2016 Atelier «Interreg pour les débutants, par où commencer?

Solaris Resource Manager

Strathroy- Caradoc Police Services Board

AP FRENCH LANGUAGE AND CULTURE 2013 SCORING GUIDELINES

Sun Management Center 3.5 Update 1b Release Notes

Archived Content. Contenu archivé

Consultation on a possible European Private Company Statute

AD511 Active Iridium Antenna User Manual Mar 12 V4.0

Survey on Conference Services provided by the United Nations Office at Geneva

Transcription:

283 Expanding the Bird Remains Identification System: An Innovative Tool for Identifying Feather Remains. Judy Shamoun-Baranes Department of Zoology, Tel Aviv University, Tel Aviv 69978, Israel Abstract One of the primary and essential steps in assessing and then reducing the hazard of collisions between birds and aircraft, both civil and military, is properly identifying which species are involved and pose a risk to aviation. Following collisions between birds and aircraft, small feather fragments are usually the only evidence that a bird was involved in the incident. The microstructures of downy barbules of feathers contain diagnostic information that enables the identification of avian groups. A combination of microscopic and macroscopic examination of feather remains has been in use by the Israel Air Force since 1991. The Bird Remains Identification System (BRIS) is an interactive multimedia program on CD-ROM for identifying feather remains. It is an innovative tool designed as part of a joint project between Tel Aviv University, University of Amsterdam, The Royal Netherlands Air Force, The Israeli Air Force and the Society for the Protection of Nature in Israel. BRIS serves two main purposes: (1) it provides a reference database of feather microstructure images and descriptions for 200 avian species from Europe and the Middle East and (2) it serves as an interactive identification system. The system also includes Geographic Information System (GIS)-based distribution maps, as well as other tools. This system can also be used for flight safety, ecological studies of predator feeding habits, forensic work and as an educational tool. BRIS s design makes it easy to expand to include additional information such as the macroscopic characters of feathers, or DNA fingerprints, as well as expanding the species list. Expanding the system to include African species would benefit air forces, civil aviation authorities and academic institutes by saving time and funds and providing a tool to assist in starting feather identification programs in other countries. Résumé Une des étapes essentielles primaires d évaluation ainsi que la réduction des risques de collisions entre les oiseaux et les avions, civiles et militaires, est d identifier proprement, les espèces concernées et celles qui posent des risques à l aviation. Faisant suite aux collisions entre oiseaux et avions, des petits fragments de plumes sont les seules preuves qu un oiseau a été impliqué dans cet incident. Les microstructures de jeunes plumes contiennent des informations diagnostiques qui permettent l identification des groupes aviaires. Une combinaison de l examen microscopique et macroscopique des restes des plumes est en vigueur par la Force Aérienne Israélienne depuis 1992. Le système d identification des restes d oiseaux (SIRO) est un programme interactif

284 sur CD-ROM pour identifier les restes de plumes. C est un outil innovateur crée comme une partie du projet conjoint entre l Université de Tel Aviv, l Université d Amsterdam, la Force Aérienne Royale des Pays Bas et la Société pour la Protection de la Nature en Israël. Ce système a deux buts essentiels: (1) il fournit une base de données pour des images microstructures des plumes et la description de 200 espèces aviaires de l Europe et du Moyen Orient (2) il sert comme un système interactif d identification. Ce système comprend aussi le Système Géographique d Information (SGI) basé sur les cartes de distribution, ainsi que d autres outils. Ce système peut aussi être utilisé pour la sécurité aérienne, pour les études écologiques sur les habitudes de nutrition des prédateurs, pour le travail légal et comme outil d éducation. La confection de SIRO facilite son expansion pour englober les informations comme les caractères macroscopiques des plumes, ou des empruntes d ADN, ainsi que les listes d autres espèces. Etendre le système pour incorporer les espèces africaines sera bénéfique aux forces aériennes, à l aviation civile et aux institutions académiques en sauvegardant le temps et les moyens, et en fournissant un outil pour commencer les programmes d identification des plumes dans les autres pays. Introduction Bird strike statistics are an important tool for understanding and reducing bird strike hazards around the world. Therefore, one of the first steps in reducing the hazard of bird strikes should be to obtain reliable statistics by properly identifying which species are involved and pose a higher risk to aviation. Following collisions between birds and aircraft, whether military or civilian, small feather fragments are usually the only evidence that a bird was involved in the incident. Several techniques are available to identify birds involved in aircraft collisions. The simplest technique is unaided visual identification of bird remains found on runways during routine runway sweeps (Linnell et al. 1996). Other techniques requiring expertise and laboratory assistance include microscopic examination of downy barbules of feathers (Shamoun & Yom-Tov 1996, Laybourne & Dove 1994, Laybourne et al. 1992, Brom 1991), electrophoretic identification (Ouellet 1994), and DNA examination (Hermans et al.1996). Each technique has its drawbacks and benefits (Brom 1992). One of the main advantages of expertise in the identification of bird remains is that it should sample a larger proportion of the birds involved in collisions and give a more reliable representation of the bird hazard. The Bird Remains Identification System (BRIS) is an interactive multimedia program on CD-ROM that was developed as a tool to assist in identifying feather remains from 200 species of birds from Europe and the Middle East. The design and use of this system is described in this article.

285 Materials and Methods Bird Remains Identification System The Bird Remains Identification System (BRIS) is an innovative tool designed as part of a joint project between Tel Aviv University, University of Amsterdam, The Royal Netherlands Air Force, The Israeli Air Force and the Society for the Protection of Nature in Israel. The software was developed by the Expert Center for Taxonomic Identification (ETI) in Amsterdam. BRIS serves two main purposes: (1) it provides a reference database of feather microstructure images and descriptions for 200 Palearctic species and (2) it serves as an interactive identification system. The system is based on ETI s Linnaeus II software and designed for both Windows and Macintosh platforms (Prast et al. 1996). The program is user friendly with all components accessible through the Navigator and hyperlinked (Fig. 1). The reference database in BRIS includes the microscopic structure of downy barbules of feathers examined under both light and scanning electron microscope (Laybourne & Dove 1994). The database contains photographs of the feather microstructures as well as textual descriptions of the feather structure and the species biology and ecology, an illustration of the bird and the bird s call. In addition to the expert identification system, IdentifyIt, BRIS also includes MapIt, a Geographic Information System providing distribution maps for each of the 200 species, as well as a glossary, an introduction with a short explanation on materials and methods, bird strike statistics, a reference section, and other tools. Israel Air Force Bird Remains Identification Since 1991, the Israel Air Force has conducted systematic identification of feather remains. Feather remains are collected at Israeli Air Force bases and sent to the Laboratory for Feather Remains Identification at Tel Aviv University, where they are identified by a combination of microscopic examination of downy barbules (Fig 2) and macroscopic comparison with bird skins at the Tel Aviv University Zoological Museum. Feather remains are received along with relevant bird strike data such as time, altitude, area of birdstrike, type of aircraft and level of damage. The techniques used to develop the BRIS database have been used successfully for feather identification in the Israel Air Force since the early 1990s. However, bird remains are occasionally identified on the airfields by the bird control units or by the pilots during flight, without being sent to the laboratory for verification. Following is a short description of the bird strike statistics for 1991-2000, comparing the results of feather remains identified in the field by Bird Control Units and air crew, not verified by laboratory examination, to a summary of all feather remains identified, combining laboratory as well as field analysis.

286 Figure 1: The Navigator - Bird Remains Identification System s main screen, each icon connects to a different component of the system (Prast & Shamoun 1997). Figure 2: Diagram of a typical body covert, including downy/plumulaceous barbules (Laybourne & Dove 1994).

287 36% 5% 5% 6% 9% 21% 10% 4% 11% 2% 10% 27% 8% 17% 12% 17% Passeriformes Charadriformes Columbiformes Accipiteriformes Apodiformes Galliformes Other Ciconiiformes Figure 3: Percentage of avian orders involved in bird strikes identified by various methods 1991-2000: (A) laboratory and/or field (n=763) and (B) in the field (n=213) Results and Conclusions Only 18 species were identified in the field by Bird Control Units and air crew, compared to over 90 species identified when combining field and laboratory analysis. When analyzing the various orders involved in bird strikes (Fig. 3), several interesting trends are apparent. Only 21% of the bird strikes identified in the field were caused by passerines (Passeriformes), compared to 36% identified by both methods. A similar trend was seen with the swifts (Apus spp.), in which 2% of the bird strikes were identified as swifts in the field, compared to 9% by both methods combined. This same increase in proportion of passerines and swifts using a combination of microscopic and macroscopic identification was also shown by Brom (1992) for north-western Europe. Charadriiformes, Galliformes and Columbiformes were all overestimated by field identification. This was due to their including the species commonly found on the air force bases which are easily identifiable by untrained personnel, such as spur-winged plovers (Vanellus spinosus) and stone curlews (Burhinus oedicnemus), chukars (Alectoris chukar), pigeons and doves (Table 1) as well as cattle egrets (Bubulcus ibis) and hooded crows (Corvus corone cornix). Approximately 40% of the bird strikes involve species commonly found on the air bases. White storks (Ciconia ciconia) are also overestimated in the field, one of the reasons being that pilots often report strikes with white storks during migration, often without having feather remains collected.

288 Figure 4: Cartoons from IAF feather identification booklet, for pilots and technicians

289 Species Percentage of birdstrikes identified in the field and/or laboratory (n=763) Rock dove (Columba livia) 9.3 Stone curlew (Burhinus oedicnemus) 8.4 Swift (Apus apus) and Alpine swift (A. melba) 6.6 Skylark (Alauda arvensis) 6.4 Spur-winged plover (Vanellus spinosus) 4.7 Chukar (Alectoris chukar) 4.5 White stork (Ciconia ciconia) 3.2 Kestrel (Falco tinnunculus) 2.9 Hooded crow (Corvus corone cornix) 2.5 Cattle egret (Bubulcus ibis) 1.4 Table 1: Percentages of the most common birds involved in birdstrikes from 1991-2000 Assuring the quality of feather identification is essential when using bird strike statistics to develop bird hazard avoidance techniques. For this reason, identifications made by pilots and untrained staff should be used with caution if at all, and feather remains should be sent for expert identification. Efforts are constantly being made to improve the level of bird remains collection, identification and reporting in order to produce sound statistics for further analysis and decision making. An additional factor of great importance in feather remains identification and bird strike statistics is that of reporting. In the IAF bird remains are collected for only 40% of the strikes reported. Public relations campaigns are essential in order to improve reporting and collection standards at all levels. In the past, posters were printed and distributed on the air bases as well as a humorous video about feather remains collection. Recently a color booklet was printed describing the method of feather remains identification, bird strike statistics and the importance of cooperation (Fig. 4). BRIS is a unique, user-friendly system now commercially available, which provides both theoretical background information and a detailed database for identifying feather remains of birds from Europe and the Middle East. The system is particularly useful for people interested in entering the field but who do not have access to reference collections of bird skins and/or funds for setting up a large database for microscopic feather structure comparison. BRIS does not eliminate the need for expertise in the field of feather identification, but is intended to be used as a tool to facilitate the learning process. This system can also be used for ecological studies of predator feeding habits, forensic work and as an

290 educational tool. It is being expanded to include other techniques of identification as well as providing other sources of data important for bird hazard reduction (Prast et al. 1998). Expansion of the BRIS to include new techniques and additional species, particularly from other continents, depends on international cooperation and any parties interested in expanding the system are invited to contact the author. References Brom, T. 1991. The diagnostic and phylogentic significance of feather structures. Published Ph.D. thesis, University of Amsterdam. Brom, T. 1992. Collecting efforts and identification standards in relation to bird strike statistics. 21 st Meeting Bird Strike Committee Europe, Jerusalem, WP-19: 163-173. Hermans, J., Buurma, L. and J. Wattel. 1996. Identification of bird remains after birdairplane collisions, based on DNA sequence analysis. 23 rd Meeting Bird Strike Committee Europe, London, WP-19: 203-207. Laybourne, R. and C. Dove. 1994. Feather identification method used by Smithsonian Museum, Washington. 22 nd Meeting Bird Strike Committee Europe, Vienna, WP-93 529-534 Laybourne, R., Sabo, B.A. and A. Morningstar. 1992. Basic technique for preparation of down for examination with the scanning electron microscope. Auk 109: 195-197. Linnell, M., Conover, M. and T. Ohashi. 1996. Analysis of bird strikes at a tropical airport. Journal of Wildlife Management 60: 935-945. Ouellet, H. 1994. Keratin Protein electrophoresis and the Identification of feather remains: New developments and update. 22 nd Meeting Bird Strike Committee Europe, Vienna, WP-90: 499-512 Prast, W., Block, M., Roselaar, C. and P. Schalk. 1998. Digital feathers - extension of BRIS with macroscopic feather characters. 24 th International Bird Strike Committee, Slovakia, 125-131. Prast, W., and J. Shamoun. 1997. Bird Remains Identification System (CD-ROM). Expert Center for Taxonomic Identification, Amsterdam. Prast, W., Shamoun, J., Bierhuizen, B., Roselaar, C., Schalk, P., Wattel, J., Los, W., Leshem, Y. and Y. Yom-Tov. 1996. BRIS: A computer based bird remains identification system. Further developments. 23 rd Meeting Bird Strike Committee Europe, London. WP-18: 197-201. Shamoun, J. and Y. Yom-Tov. 1996. Five years of feather identification for the Israeli Air Force. 23 rd Meeting Bird Strike Committee Europe, London. WP-17: 189-195