H.N. McGough

Royal Botanic Gardens, Kew

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Maurizio Sajeva

Pellervo Economic Research

L. Garrett

Matthew J. Smith

University of Minnesota

Matthew R. Groves

University of Groningen

Chris Brodie

C Rutherford

State University of New York

U. Schippmann

Federal Agency for Nature Conservation

C. R. Beale

Jenny Kowalczyk

M Tse-Laurence

Cooperative Institutions

Royal Botanic Gardens, Kew

University of Palermo

University College London

Microsoft Research (United Kingdom)

University of Edinburgh

Bangor University

Plant (United States)

University of Cambridge

Instituto de Botânica

Royal Zoological Society of Scotland

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

우리말 번역: 국립생물자원관 (Cites and Cacti: a user's guide)

Maurizio Sajeva H.N. McGough L. Garrett J Luethy M Tse-Laurence

CITES

Source

Cite

Citations (0)

BULBS, BIODIVERSITY AND BUSINESS

Acta Horticulturae (1997)

H.N. McGough

10.17660/actahortic.1997.430.123

Cite

Citations (2)

CITES Bulb Checklist

Aaron P. Davis H.N. McGough Brian Mathew C. Grey-Wilson

CITES

Source

Cite

Citations (6)

CITES and Slipper Orchids

H.N. McGough David L. Roberts Chris Brodie Jenny Kowalczyk

The third in the series of CITES User's Guides covers the genera Cypripedium, Paphiopedilum and Phragmipedium. Highly sought-after in trade, these orchids are strictly regulated by CITES. This is the first book that outlines in a user-friendly fashion how the CITES controls apply to slipper orchids. It includes a fully illustrated PowerPoint training presentation, with speaker notes, on CD-ROM. The text is in English, French and Spanish.

CITES

Presentation (obstetrics)

Source

Cite

Citations (2)

Monitoring internet trade to inform species conservation actions

Endangered Species Research (2016)

Valentina Vaglica Maurizio Sajeva H.N. McGough David Hutchison Claudio Russo

ESR Endangered Species Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials ESR 32:223-235 (2017) - DOI: https://doi.org/10.3354/esr00803 Monitoring internet trade to inform species conservation actions Valentina Vaglica1, Maurizio Sajeva1, H. Noel McGough1, Dylan Hutchison2, Claudio Russo3, Andrew D. Gordon3,4, Aro Vonjy Ramarosandratana5, Wolfgang Stuppy6, Matthew J. Smith7,8,* 1Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche, Via Archirafi 18, Palermo 90123, Italy 2University of Washington, Seattle, WA 98195, USA 3Microsoft Research, Cambridge CB1 2FB, UK 4School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK 5Department of Plant Biology and Ecology, University of Antananarivo, PO Box 906, Antananarivo 101, Madagascar 6Royal Botanic Gardens, Kew, Wakehurst, Ardingly RH17 6TN, UK 7Microsoft Services, Reading RG6 1WG, UK 8Royal Botanic Gardens Kew, Richmond, Surrey TW9 3AE, UK *Corresponding author: matthew.smith@microsoft.com ABSTRACT: Specimens, parts and products of threatened species are commonly traded on the internet. This could threaten the survival of some wild populations. We outline 2 methods to monitor internet sales of species to assess potential threats and inform conservation actions. Our first method combines systematic monitoring of online offers of plants for sale with expert consultation. Our second method utilises a computational model, trained to expert-classified records using probabilistic inference, to predict unknown properties of the traded taxa. We used these methods to monitor internet trade in 5 genera of succulent plant species endemic to Madagascar, some of which have recently been listed for trade regulation under the Convention on International Trade in Endangered Species (CITES). This revealed potential threats to wild populations: for instance, almost all species recorded were of high conservation concern, yet most offers for live plants were of apparently wild-collected specimens (85%). Our model predicted with 89% accuracy whether the plants were classified as propagated or wild collected by an expert, although accuracy dropped for data collected in the following summer. Our results highlight potential threats by internet trade to the survival of some CITES and non-CITES listed plant species from Madagascar. These should be addressed by further conservation actions and policy. More generally, our results reveal how standardised internet surveys can provide information on levels of trade in wild-collected threatened species that could impact on natural populations, and can provide data that can be incorporated into models to facilitate future monitoring and enforcement. KEY WORDS: Adenia · Commiphora · Operculicarya · Uncarina · Machine learning · Infer.NET · Naive Bayes classifier Full text in pdf format Supplementary material PreviousNextCite this article as: Vaglica V, Sajeva M, McGough HN, Hutchison D and others (2017) Monitoring internet trade to inform species conservation actions. Endang Species Res 32:223-235. https://doi.org/10.3354/esr00803 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in ESR Vol. 32. Online publication date: March 14, 2017 Print ISSN: 1863-5407; Online ISSN: 1613-4796 Copyright © 2017 Inter-Research.

10.3354/esr00803

Cite

Citations (31)

A report on the status and cultivation of Cyclamen species and other geophytes in Turkey.

H.N. McGough Babu Mathew M. A. Read H.P. Wertel D.O. Wijnands

Source

Cite

Citations (1)