Title |
Quantifying anthropogenic threats to orchids using the IUCN Red List
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Published in |
Ambio, October 2017
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DOI | 10.1007/s13280-017-0964-0 |
Pubmed ID | |
Authors |
Jenna Wraith, Catherine Pickering |
Abstract |
Orchids are diverse, occur in a wide range of habitats and dominate threatened species lists, but which orchids are threatened, where and by what? Using the International Union for Conservation of Nature Red List, we assessed the range and diversity of threats to orchids globally including identifying four threat syndromes: (1) terrestrial orchids in forests that are endemic to a country and threatened by illegal collecting; (2) orchids threatened by climate change, pollution, transportation and disturbance/development for tourism, and recreation activities, often in East Asia; (3) epiphytic orchids in Sub-Saharan Africa including Madagascar with diverse threats; and (4) South and Southeast Asia orchids threatened by land clearing for shifting agriculture. Despite limitations in the Red List data, the results highlight how conservation efforts can focus on clusters of co-occurring threats in regions while remaining aware of the trifecta of broad threats from plant collecting, land clearing and climate change. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 106 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 17% |
Student > Master | 16 | 15% |
Student > Bachelor | 14 | 13% |
Researcher | 10 | 9% |
Student > Postgraduate | 4 | 4% |
Other | 12 | 11% |
Unknown | 32 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 33 | 31% |
Environmental Science | 14 | 13% |
Biochemistry, Genetics and Molecular Biology | 8 | 8% |
Computer Science | 2 | 2% |
Economics, Econometrics and Finance | 2 | 2% |
Other | 7 | 7% |
Unknown | 40 | 38% |